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250-401 Administration of Symantec Management(R) Platform 7.0 with Notification Server

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Test Code : 250-401
Test Name : Administration of Symantec Management(R) Platform 7.0 with Notification Server
Vendor Name : Symantec
: 173 Real Questions

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Symantec Administration of Symantec Management(R)

CFO strikes: Ceconomy, Symantec | killexams.com Real Questions and Pass4sure dumps

Ceconomy AG, a Düsseldorf, Germany client electronics retail operator, appointed Karin Sonnenmoser as chief financial officer, useful March 1.

The appointment is part of a much broader administration reshuffle following the demerger of a number of groups in 2017 and the renaming of Metro AG as Ceconomy. Ms. Sonnenmoser joins from Zumtobel neighborhood AG, an Austrian lights manufacturer, the place she changed into liable for finance and procurement. Compensation details were no longer accessible.

Symantec Corp., a Mountain View, Calif.-based application enterprise, noted its government vice president and Chief economic Officer Nicholas R. Noviello should be stepping down from his function to pursue other alternatives. Mr. Noviello will continue as the business's executive vp and CFO except a successor is appointed and will stay with Symantec to be certain a clean transition. The company has commenced the quest for brand new CFO, Symantec pointed out in a filing.


Heavy pressure on Symantec as it Seeks a brand new CEO | killexams.com Real Questions and Pass4sure dumps

First identify: last identify: email tackle: Password: verify Password: Username:

Title: C-degree/President manager VP group of workers (associate/Analyst/and many others.) Director

feature:

function in IT determination-making technique: Align enterprise & IT goals Create IT strategy check IT needs manage seller Relationships consider/Specify manufacturers or carriers other position Authorize Purchases no longer concerned

Work cellphone: enterprise: business measurement: business: highway address metropolis: Zip/postal code State/Province: nation:

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Will Symantec Be capable of grasp Investor hobby in 2015? | killexams.com Real Questions and Pass4sure dumps

Symantec Continues to Disappoint traders in Fiscal 2015

(persisted from Prior part)

Faltering income boom is shaking investor self assurance

As we’ve already viewed in this sequence, Symantec’s (SYMC) revenues fell 6.6% on a yr-over-yr basis to $1.5 billion. Fiscal 4Q15 marks Symantec’s third consecutive quarter of year-over-12 months salary decline.

The business is neatly normal for its Norton antivirus software and a varied portfolio of safety utility choices. but the business remains struggling to obtain salary boom. here is an incredible subject in view that the world safety functions market is anticipated to grow in the future. according to Sandler analysis, the global security functions market is expected to grow at a CAGR (compound annual increase price) of 10.13% from 2014 to 2019.

Hope for Symantec’s commercial enterprise protection section

As we’ve already considered, Symantec’s overall performance in fiscal 4Q15 and fiscal 2015 didn't meet investor expectations. youngsters, they may still also take a detailed analyze Symantec’s reallocation of its R&D (research and construction) investments to potential growth areas like its business protection utility section.

regardless of business protection’s degrowth in fiscal 2015, its two subsegments—Endpoint insurance policy and DLP (facts Loss Prevention)—efficiently achieved 5% and 6% 12 months-over-yr boom, respectively. This growth generates some hope that these subsegments may be in a position to put Symantec’s business security division lower back heading in the right direction for earnings.

according to the 451 group, Symantec leads the DLP market with a forty seven% market share, because the above chart suggests. It’s followed through Intel’s McAfee (INTC) with an 18% market share and EMC (EMC) with a four% share. expertise behemoths Microsoft (MSFT) and IBM (IBM) try to enter this hastily turning out to be market.

in response to the 451 community, “Symantec has the most-mentioned endpoint safety (antivirus) solution within the commercial enterprise, at forty one% in use, as well as the leading facts-loss prevention ([or] DLP) product.”

If Symantec manages to hang or extend its presence in this space, there’s a strong likelihood that the business protection section will revive. Symantec’s tips management segment should split off by October 2015, on the way to put drive on Symantec to focal point on commercial enterprise security to power its salary increase. In its 4Q15 income unlock, Symantec shared that the enterprise released forty one new enterprise security items in fiscal 2015.

1Q16 expectations

For 1Q16, Symantec expects income and EPS (salary per share) to be $1.5 billion to $1.54 billion and $0.41 to $0.forty four per share, respectively. For fiscal 2016, Symantec expects income and EPS to be within the latitude of $6.21 to $6.35 billion and $1.80 to $1.ninety, respectively.

if you’re bullish about Symantec, that you could make investments in the expertise select Sector SPDR Fund (XLK) to gain publicity to Symantec. XLK invests about 0.41% of its holdings in Symantec.

Browse this sequence on Market Realist:


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Inside the IBM BigInsights platform for big data management | killexams.com real questions and Pass4sure dumps

Editor's note: In June 2017, IBM announced that it is ending the development of BigInsights and becoming a reseller of Hortonworks Inc.'s Hadoop distribution, Hortonworks Data Platform (HDP). As part of the deal, IBM will work to migrate all existing IBM BigInsights customers to HDP.

IBM BigInsights combines its enterprise capabilities and industry-standard Hadoop components into a single platform, enabling users to manage and analyze large volumes of structured and unstructured data.

IBM BigInsights features several advanced analytics capabilities, including sophisticated text analytics; BigSheets for advanced data exploration; and Big SQL, which enables SQL access to data in a Hadoop cluster. Added-value enterprise capabilities are designed to enhance and simplify application development and system implementation, as well as provide features that improve performance, scalability, reliability, security and administration.

IBM BigInsights release 4.1 includes the IBM Open Platform with Apache Hadoop, as well as several prepackaged value-add modules containing proprietary advanced enterprise-grade features.

IBM Open Platform with Apache Hadoop, IBM's core distribution of open source Hadoop, includes the following Apache components: Ambari (2.1), Apache Kafka (0.8.2), Flume (1.5.2),Ganglia (3.1.7), Hadoop ( 2.7.1), HBase (1.1.1), Hive (1.2.1), Knox (0.6.0), Lucene (4.7.0), Nagios (3.5.1), Oozie (4.2.0), Parquet (4.0), Parquet MR/format (1.6.0/2.2), Pig (0.15.0), Slider (0.80.0), Solr (5.1.0), Spark (1.4.1), Sqoop (1.4.6.), Terada Connector for Hadoop (1.4) and Zookeeper (3.4.6)

BigInsight value-add modules include:

IBM BigInsights Analyst, which provides specific tools for data analysis. The modules include BigInsights Home service, the primary interface used to launch other BigInsights components, as well as Big SQL and BigSheets:

  • Big SQL is an advanced SQL engine that provides users who have standard SQL query skills with fast query access to data in a Hadoop cluster within a single query, whether it be in Hive, HBase or Hadoop Distributed File System enabled by massively parallel processing technology. The product also supports federated query access to IBM DB2, Oracle, Teradata and Open Database Connectivity sources.
  • BigSheets lets users explore, transform and perform visualizations on large data sets stored in Hadoop through a spreadsheet-like Web interface. The tool supports fast queries against massive data sets by translating user actions into MapReduce functions against the Hadoop cluster.
  • IBM BigInsights Data Scientist, which enables users with advanced analytics skills tools to gain further insight into the data in the cluster. In addition to components provided as part of the Analyst module, the following tools are also included:

  • Big R, which provides users familiar with the R language a set of libraries, enabling them to develop and use R language functions on data residing in the IBM BigInsights cluster. This tool lets users perform complex operations and queries using R against large data sets by hiding some of the complexity of writing MapReduce functions.
  • Text Analytics, which is a powerful and intuitive tool for extracting information from unstructured and semi-structured text.
  • SystemML, which provides users with a tool to use an R-like syntax to perform statistical functions and machine learning constructs. The tools enable the algorithms to be executed in a distributed fashion across nodes of a cluster using MapReduce or Spark (in memory). IBM contributed SystemML to the open source community, and it has been accepted as an Apache Incubator project.
  • IBM Enterprise Management module, which provides enterprise-grade capabilities to support cluster scaling and performance through parallel computing and application grid management. The module also provides other enterprise features to support cluster security and reliability. IBM Enterprise Management includes IBM Spectrum Scale-FPO, a Portable Operating System Interface-compliant file system that can be used in place of Hadoop Distributed File System. This gives administrators more control and improved integration capabilities with other systems in the enterprise. Also included is IBM Platform Symphony, which provides administrators with tools to efficiently manage multiple platform instances as well as enables support for data isolation for multi-tenant environments.

    IBM BigInsights for Apache Hadoop, which includes the contents of the three modules noted above.

    BigInsights modules operate on Linux servers. Detailed system requirements include operating system and hardware, as well as supported software.

    While IBM BigInsights modules can be downloaded and installed on-premises, the company also offers BigInsights on Cloud, Hadoop as a service on IBM's global cloud infrastructure. This option provides users with all the features of BigInsights in a 24/7 managed environment.

    IBM BigInsights licensing and distribution

    While IBM's Open Platform with Apache Hadoop is available as an open source free-to-use distribution, BigInsight's value-add modules require IBM licensing for purposes other than evaluation. Contact IBM or an IBM Business Partner for detailed pricing and support options.

    IBM offers the BigInsights Quick Start evaluation edition of its software for nonproduction use.

    IBM is a founding member of the Open Data Platform Initiative, a group of big data industry leaders and vendors that promote technologies based on open source on the Apache Hadoop ecosystem and share in efforts to promote interoperability of big data tools.


    SMIC Reports 2017 Fourth Quarter Results | killexams.com real questions and Pass4sure dumps

    All currency figures stated in this report are in US Dollars unless stated otherwise.

    The consolidated financial statements are prepared in accordance with International Financial Reporting Standards ("IFRS").

    SHANGHAI, Feb. 8, 2018 /PRNewswire/ -- Semiconductor Manufacturing International Corporation (NYSE: SMI; SEHK: 981) ("SMIC", the "Company" or "our"), one of the leading semiconductor foundries in the world, today announced its consolidated results of operations for the three months ended December 31, 2017.

    Fourth Quarter 2017 Highlights

  • Revenue was $787.2 million in 4Q17, an increase of 2.3% QoQ from $769.7 million in 3Q17 and a decrease of 3.4% YoY from $814.8 million in 4Q16.
  • Gross profit was $148.5 million in 4Q17, compared to $177.3 million in 3Q17 and $246.0 million in 4Q16.
  • Gross margin was 18.9% in 4Q17, compared to 23.0% in 3Q17 and 30.2% in 4Q16.
  • First Quarter 2018 Guidance: 

    The following statements are forward looking statements based on current expectations and involved risks and uncertainties, some of which are set forth under "Safe Harbor Statements" below. The Company expects:

  • Revenue to increase by 7% to 9% QoQ, including the forecast to recognize the technology licensing revenue estimated at $150 million.
  • Gross margin to range from 25% to 27%.
  • Non-GAAP operating expenses, excluding the effect of employee bonus accrual, government funding, gain or loss on the disposal of machinery and equipment and gain from the disposal of living quarters, to range from $212 million to $218 million.
  • Non-controlling interests of their majority-owned subsidiaries to range from positive $15 million to positive $17 million (losses to be borne by non-controlling interests).
  • Dr. Zhao HaiJun and Dr. Liang Mong Song, SMIC's co-Chief Executive Officers commented, "Looking back at 2017, they increased annual revenue 6.4% YoY, in line with the foundry industry growth rate. They also successfully ramped up their 28nm technology portfolio and have seen more than 10% revenue contribution in the fourth quarter of 2017. Meanwhile, they have continued to enrich their technology offerings to diversify their revenue streams; for example, their auto and industrial revenue doubled in 2017 compared to 2016.

    SMIC is in transition to align to customers' fast technology migration in today's dynamic foundry environment, and they have great opportunities in front of us as the largest and most advanced foundry in China. At the same time, the overall industry dynamic has become more volatile with increased competition and pricing pressure. However, they are confident in their team's capability to utilize this time to prepare, develop and recalibrate their technology, to create greater value for the future."

    Conference Call / Webcast Announcement

    Date: February 9, 2018Time: 8:30 a.m. Beijing timeDial-in numbers and pass code:

    China

    +86 400-620-8038

    (Pass code: SMIC)

    Hong Kong

    +852 3018-6771

    (Pass code: SMIC)

    Taiwan

    +886 2-2650-7825

    (Pass code: SMIC)

    United States, New York

    +1 845-675-0437

    (Pass code: SMIC)

    The call will be webcast live with audio at http://www.smics.com/eng/investors/ir_presentations.php or  https://edge.media-server.com/m6/p/hnx3rwog.

    An archived version of the webcast, along with an electronic copy of this news release will be available on the SMIC website for a period of 12 months following the webcast.

    About SMIC

    Semiconductor Manufacturing International Corporation ("SMIC"; NYSE: SMI; SEHK: 981) is one of the leading semiconductor foundries in the world and the largest and most advanced foundry in mainland China. SMIC provides integrated circuit (IC) foundry and technology services on process nodes from 0.35 micron to 28 nanometer. Headquartered in Shanghai, China, SMIC has an international manufacturing and service base. In China, SMIC has a 300mm wafer fabrication facility (fab) and a 200mm fab in Shanghai; a 300mm fab and a 200mm fab in Shenzhen; a 300mm fab and a majority-owned 300mm fab for advanced nodes in Beijing; a 200mm fab in Tianjin and a majority-owned joint-venture 300mm bumping facility in Jiangyin; additionally, in Italy SMIC has a majority-owned 200mm fab. SMIC also has marketing and customer service offices in the U.S., Europe, Japan, and Taiwan, and a representative office in Hong Kong.

    For more information, please visit www.smics.com.

    Safe Harbor Statements

    (Under the Private Securities Litigation Reform Act of 1995)

    This press release contains, in addition to historical information, "forward-looking statements" within the meaning of the "safe harbor" provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements, including statements under "First Quarter 2018 Guidance", "CapEx Summary" and the statements contained in the quotes of their co-Chief Executive Officers are based on SMIC's current assumptions, expectations and projections about future events. SMIC uses words like "believe," "anticipate," "intend," "estimate," "expect," "project," "target" and similar expressions to identify forward looking statements, although not all forward-looking statements contain these words. These forward-looking statements are necessarily estimates reflecting the best judgment of SMIC's senior management and involve significant risks, both known and unknown, uncertainties and other factors that may cause SMIC's actual performance, financial condition or results of operations to be materially different from those suggested by the forward-looking statements including, among others, risks associated with cyclicality and market conditions in the semiconductor industry, intense competition in the semiconductor industry, SMIC's reliance on a small number of customers, timely wafer acceptance by SMIC's customers, timely introduction of new technologies, SMIC's ability to ramp new products into volume, supply and demand for semiconductor foundry services, industry overcapacity, shortages in equipment, components and raw materials, availability of manufacturing capacity, financial stability in end markets, orders or judgments from pending litigation, intensive intellectual property litigation in semiconductor industry, general economic conditions and fluctuations in currency exchange rates.

    Story continues

    In addition to the information contained in this press release, you should also consider the information contained in their other filings with the SEC, including their annual report on Form 20-F filed with the SEC on April 27, 2017, especially in the "Risk Factors" section and such other documents that they may file with the SEC or The Hong Kong Stock Exchange Limited ("SEHK") from time to time, including current reports on Form 6-K. Other unknown or unpredictable factors also could have material adverse effects on their future results, performance or achievements. In light of these risks, uncertainties, assumptions and factors, the forward-looking events discussed in this press release may not occur. You are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date stated or, if no date is stated, as of the date of this press release. Except as may be required by law, SMIC undertakes no obligation and does not intend to update any forward-looking statement, whether as a result of new information, future events or otherwise.

    About Non-Generally Accepted Accounting Principles ("non-GAAP") Financial Measures

    To supplement SMIC's consolidated financial results presented in accordance with IFRS, SMIC uses in this press release non-GAAP measures of operating results that are adjusted to exclude finance cost, depreciation and amortization, income tax benefits and expenses, the effect of employee bonus accrual, government funding, gain or loss on the disposal of machinery and equipment and gain from the disposal of living quarters. This earnings release also includes first quarter 2018 guidance for non-GAAP operating expenses. The presentation of non-GAAP financial measures is not intended to be considered in isolation or as a substitute for the financial information prepared and presented in accordance with IFRS. This earnings release includes EBITDA, EBITDA margin and non-GAAP operating expenses which consist of total operating expenses as adjusted to exclude the effect of employee bonus accrual, government funding, gain or loss on the disposal of machinery and equipment and gain from the disposal of living quarters. These non-GAAP financial measures are not calculated or presented in accordance with, and are not alternatives or substitutes for financial measures prepared in accordance with IFRS, and should be read only in conjunction with the Group's financial measures prepared in accordance with IFRS. The Group's non-GAAP financial measures may be different from similarly-titled non-GAAP financial measures used by other companies.

    SMIC believes that use of these non-GAAP financial measures facilitates investors' and management's comparisons to SMIC's historical performance. The Group's management regularly uses these non-GAAP financial measures to understand, manage and evaluate the Group's business and make financial and operational decisions.

    The accompanying table has more information and reconciliations of each non-GAAP financial measure to its most directly comparable GAAP financial measure. A reconciliation of non-GAAP guidance measures to corresponding GAAP measures is not available on a forward-looking basis because the effect of these adjustment items excluded for the purpose of non-GAAP operating expenses guidance are subject to some unpredictable conditions that cannot be estimated with reasonable certainty.

    Contact:

    Investor Relations+86-21-3861-0000 ext. 12804ir@smics.com

    Summary of Fourth Quarter 2017 Operating Results

    Amounts in US$ thousands, except for EPS and operating data

    4Q17

    3Q17

    QoQ

    4Q16

    YoY

    Revenue

    787,174

    769,723

    2.3%

    814,802

    -3.4%

    Cost of sales

    (638,678)

    (592,426)

    7.8%

    (568,790)

    12.3%

    Gross profit

    148,496

    177,297

    -16.2%

    246,012

    -39.6%

    Operating expenses

    (145,323)

    (154,592)

    -6.0%

    (196,994)

    -26.2%

    Profit from operations

    3,173

    22,705

    -86.0%

    49,018

    -93.5%

    Other income (expense), net

    (6,086)

    7,290

    -

    473

    -

    (Loss) profit before tax

    (2,913)

    29,995

    -

    49,491

    -

    Income tax benefit

    1,217

    595

    104.5%

    8,547

    -85.8%

    (Loss) profit for the period

    (1,696)

    30,590

    -

    58,038

    -

    Other comprehensive income (loss):

    Exchange differences on translating foreign operations

    8,458

    5,686

    48.8%

    (11,250)

    -

    Change in value of available-for-sale financial assets

    (67)

    (455)

    -85.3%

    617

    -

    Cash flow hedges

    (595)

    5,620

    -

    (34,912)

    -98.3%

    Actuarial gains and losses on defined benefit plans

    (556)

    32

    -

    1,438

    -

    Share of other comprehensive income of joint ventures accounted for using equity method(4)

    11,755

    5,891

    99.5%

    -

    -

    Total comprehensive income for the period

    17,299

    47,364

    -63.5%

    13,931

    24.2%

    Profit (loss) for the period attributable to:

    SMIC

    47,718

    25,899

    84.2%

    104,008

    -54.1%

    Non-controlling interests

    (49,414)

    4,691

    -

    (45,970)

    7.5%

    (Loss) profit for the period

    (1,696)

    30,590

    -

    58,038

    -

    Gross margin

    18.9%

    23.0%

    30.2%

    Earnings per ordinary share(1) Basic

    $0.01

    $0.01

    $0.02

    Diluted

    $0.01

    $0.01

    $0.02

    Earnings per ADS(2)

    Basic

    $0.05

    $0.03

    $0.12

    Diluted

    $0.05

    $0.03

    $0.11

     

    Wafers shipped (in 8" equivalent wafers)

    1,124,821

    1,076,039

    1,096,011

    Capacity utilization(3)

    85.8%

    83.9%

    96.5%

     

    Note:

    (1) Based on weighted average ordinary shares of 4,729million (basic) and 5,159 million (diluted) in 4Q17, 4,651million (basic) and 4,690 million (diluted) in 3Q17, and 4,239 million (basic) and 5,055 million (diluted) in 4Q16. The basic and diluted earnings per share for 4Q16 have been adjusted to reflect the impact of the share consolidation, on the basis that every ten ordinary shares of par value of $0.0004 each consolidated into one consolidated share of par value of $0.004 each, which was accounted for as a reverse stock split effective on December 7, 2016 ("Share Consolidation")

    (2) Each ADS represents 5 ordinary shares.

    (3) Based on total equivalent wafers out divided by estimated total quarterly capacity. 

    (4) The comparative figure of 3Q17 has been revised to conform the current period's presentation. Such revision reflected the increase of US$5.9 million in the "share of other comprehensive income of joint ventures accounted for using equity method" in the 3Q17 Condensed Consolidated Statements of Profit or Loss and Other Comprehensive Income, and both the "reserves" and "investment in joint ventures" in the Condensed Consolidated Statements of Financial Position as of September 30, 2017.

     

  • Revenue increased by 2.3% QoQ from $769.7 million in 3Q17 to $787.2 million in 4Q17 mainly due to an increase of wafer shipment in 4Q17.
  • Cost of sales was $638.7 million in 4Q17, an increase of 7.8% QoQ from $592.4 million in 3Q17.
  • Gross profit was $148.5 million in 4Q17, a decrease of 16.2% QoQ from $177.3 million in 3Q17.
  • Gross margin was 18.9% in 4Q17, as compared to 23.0% in 3Q17, primarily due to a product-mix change in 4Q17.
  • Operating expenses were $145.3 million in 4Q17, a decrease of 6.0% QoQ from $154.6 million in 3Q17, mainly due to the reasons stated in Operating Expenses (Income) Analysis below.
  • Other income (expense), net was $6.1 million loss in 4Q17, as compared to $7.3 million gain in 3Q17. The change was mainly due to the reasons stated in Other Income (Expense), Net below.
  • Share of other comprehensive income of joint ventures accounted for using equity method was $11.8 million in 4Q17, compared to $5.9 million in 3Q17. The amount was recognized as the Group's share of the change in value of available-for-sale financial assets of the joint ventures, which are all unlisted companies invested indirectly through China IC Capital Co., Ltd (a wholly-owned investment fund company of the Company).
  • Non-controlling Interests were $49.4 million losses in 4Q17, as compared to $4.7 million gains in 3Q17, mainly due to the allocation of the annual advanced technology R&D expenses to Semiconductor Manufacturing North China (Beijing) Corporation (the Company's majority-owned subsidiary in Beijing) in 4Q17.
  • Analysis of Revenue

    Revenue Analysis

    By Application

    4Q17

    3Q17

    4Q16

    Computer

    6.6%

    5.8%

    3.9%

    Communications

    42.5%

    45.3%

    44.3%

    Consumer

    37.6%

    37.0%

    37.4%

    Auto/Industrial

    8.8%

    8.1%

    7.0%

    Others

    4.5%

    3.8%

    7.4%

    By Service Type

    4Q17

    3Q17

    4Q16

    Wafers

    99.7%

    98.4%

    96.4%

    Mask making, testing, others

    0.3%

    1.6%

    3.6%

    By Geography

    4Q17

    3Q17

    4Q16

    North America

    38.1%

    41.9%

    33.2%

    China(1)

    51.3%

    45.7%

    47.8%

    Eurasia(2)

    10.6%

    12.4%

    19.0%

    Wafer Revenue Analysis

    By Technology

    4Q17

    3Q17

    4Q16

    28 nm

    11.3%

    8.8%

    3.5%

    40/45 nm

    23.6%

    20.6%

    23.6%

    55/65 nm

    16.0%

    20.2%

    19.8%

    90 nm

    1.8%

    1.4%

    1.6%

    0.11/0.13 µm

    6.3%

    8.1%

    14.8%

    0.15/0.18 µm

    37.8%

    37.8%

    34.2%

    0.25/0.35 µm

    3.2%

    3.1%

    2.5%

     

    Note:

    (1) Including Hong Kong, but excluding Taiwan

    (2) Excluding China and Hong Kong

     

    Capacity*

    Fab

    4Q17

    3Q17

    Shanghai 200mm Fab

    109,000

    114,000

    Shanghai 300mm Fab

    38,250

    40,500

    Beijing 300mm Fab

    103,500

    112,500

    Tianjin 200mm Fab

    50,000

    47,000

    Shenzhen 200mm Fab

    30,000

    32,075

    Shenzhen 300mm Fab

    6,750

    -

    Majority-Owned Beijing 300mm Fab

    65,250

    61,875

    Majority-Owned Avezzano 200mm Fab

    40,000

    40,000

    Total monthly wafer fabrication capacity

    442,750

    447,950

     

    Note:

    * Wafers per month at the end of the period in 8" equivalent wafers, calculated on a 30-day basis for comparison purposes

  • Monthly capacity decreased to 442,750 8-inch equivalent wafers in 4Q17 from 447,950 8-inch equivalent wafers in 3Q17, primarily because of a product-mix change in 4Q17.
  • Shipment and Utilization

    8" equivalent wafers

    4Q17

    3Q17

    QoQ

    4Q16

    YoY

    Wafer shipments

    1,124,821

    1,076,039

    4.5%

    1,096,011

    2.6%

    Utilization rate(1)

    85.8%

    83.9%

    -

    96.5%

    -

     

    Note:  

    (1)  Based on total equivalent wafers out divided by estimated total quarterly capacity.

     

    Detailed Financial Analysis

    Gross Profit Analysis

    Amounts in US$ thousands

    4Q17

    3Q17

    QoQ

    4Q16

    YoY

    Cost of sales

    638,678

    592,426

    7.8%

    568,790

    12.3%

    Depreciation

    210,385

    178,302

    18.0%

    159,778

    31.7%

    Other manufacturing costs

    427,262

    413,089

    3.4%

    407,870

    4.8%

    Share-based compensation

    1,031

    1,035

    -0.4%

    1,142

    -9.7%

    Gross profit

    148,496

    177,297

    -16.2%

    246,012

    -39.6%

    Gross margin

    18.9%

    23.0%

    -

    30.2%

    -

  • Cost of sales was $638.7 million in 4Q17, an increase of 7.8% QoQ from $592.4 million in 3Q17 mainly due to higher wafer shipments and a product-mix change in 4Q17.
  • Depreciation within the cost of sales increased by 18.0% to $210.4 million in 4Q17, compared to $178.3 million in 3Q17.
  • Other manufacturing costs within the cost of sales increased by 3.4% to $427.3 million in 4Q17, compared to $413.1 million in 3Q17.
  • Gross profit was $148.5 million in 4Q17, a decrease of 16.2% QoQ from $177.3 million in 3Q17.
  • Gross margin was 18.9% in 4Q17, as compared to 23.0% in 3Q17, primarily due to a product-mix change in 4Q17.
  • Operating Expenses (Income) Analysis

    Amounts in US$ thousands

    4Q17

    3Q17

    QoQ

    4Q16

    YoY

    Operating expenses

    145,323

    154,592

    -6.0%

    196,994

    -26.2%

    Research and development, net

    101,300

    106,848

    -5.2%

    118,325

    -14.4%

    General and administrative

    58,201

    46,104

    26.2%

    60,934

    -4.5%

    Selling and marketing

    6,393

    9,587

    -33.3%

    9,087

    -29.6%

    Other operating (income) loss

    (20,571)

    (7,947)

    158.9%

    8,648

    -

  • R&D expenses decreased by $5.5 million QoQ to $101.3 million in 4Q17, compared to $106.8 million in 3Q17. Excluding the funding of R&D contracts from the government, R&D expenses increased by $4.1 million QoQ to $135.1 million in 4Q17. The change was mainly due to higher level of R&D activities in 4Q17. Funding of R&D contracts from the government was $33.8 million in 4Q17, compared to $24.2 million in 3Q17.
  • General and administrative expenses increased by 26.2% to $58.2 million in 4Q17, compared to $46.1 million in 3Q17. The change was mainly due to an increase in the government tax surcharges, accrued employee bonus and the patent expenses in 4Q17.
  • The increase in other operating (income) loss was mainly due to the government funding received in 4Q17.
  • Other Income (Expense), Net

    Amounts in US$ thousands

    4Q17

    3Q17

    QoQ

    4Q16

    YoY

    Other income (expense), net

    (6,086)

    7,290

    -

    473

    -

    Interest income

    8,297

    6,545

    26.8%

    4,674

    77.5%

    Finance costs

    (9,420)

    12,906

    -

    (9,253)

    1.8%

    Foreign exchange gains or losses

    9,192

    (11,685)

    -

    481

    1811.0%

    Other gains or losses, net

    (11,132)

    (1,657)

    571.8%

    5,984

    -

    Share of (loss) profit of investment   using equity method

    (3,023)

    1,181

    -

    (1,413)

    113.9%

  • The change in finance costs was mainly due to the interest subsidies received from the government in 3Q17 and no interest subsidies in 4Q17.
  • Foreign exchange gains were mainly due to an appreciation of RMB against USD. Foreign monetary assets mainly consist of cash and cash equivalent and trade and other receivables in RMB. Foreign monetary liabilities mainly consist of borrowings, medium-term notes and trade and other payables in RMB.
  • The change in other gains or losses, net was mainly due to a potential cash compensation accrued at about $12.5 million in 4Q17 that may be incurred depending on the profit of Suzhou Changjiang Electric Xinke Investment Co., Ltd during the three years of 2017, 2018 and 2019. The potential cash compensation was deemed as the terms of the supplemental agreement entered by SilTech Semiconductor (Shanghai) Corporation Limited (an indirectly wholly-owned subsidiary of the Company) and Jiangsu Changjiang Electronics Technology Co., Ltd on December 9, 2016.
  • Depreciation and Amortization

    Amounts in US$ thousands

    4Q17

    3Q17

    QoQ

    4Q16

    YoY

    Depreciation and amortization

    251,741

    243,196

    3.5%

    215,586

    16.8%

    Liquidity

    Amounts in US$ thousands

    4Q17

    3Q17

    Cash and cash equivalent

    1,838,300

    1,119,149

    Restricted cash

    336,043

    339,596

    Other financial assets – current (1)

    683,812

    607,258

    Trade and other receivables

    616,308

    609,849

    Prepayment and prepaid operating  expenses

    34,371

    37,545

    Inventories

    622,679

    625,283

    Assets classified as held-for-sale

    37,471

    38,942

    Total current assets

    4,168,984

    3,377,622

    Current tax liabilities

    270

    780

    Other financial liabilities

    744

    -

    Accrued liabilities

    180,912

    170,735

    Deferred government funding

    193,158

    178,293

    Short-term Borrowings

    440,608

    437,375

    Trade and other payables

    1,050,460

    1,019,153

    Other liabilities

    40,627

    -

    Total current liabilities

    1,906,779

    1,806,336

    Cash Ratio(2)

    1.0x

    0.6x

    Quick Ratio(3)

    1.9x

    1.5x

    Current Ratio(4)

    2.2x

    1.9x

     

    Note:

    (1) Other financial assets – current mainly contains financial products sold by bank and bank deposits over 3 months.

    (2) Cash and cash equivalent divided by total current liabilities.

    (3) Current assets excluding inventories divided by total current liabilities

    (4) Total current assets divided by total current liabilities.

     

    Capital Structure

    Amounts in US$ thousands

    4Q17

    3Q17

    Cash and cash equivalent

    1,838,300

    1,119,149

    Restricted cash - current

    336,043

    339,596

    Restricted cash - non current

    13,438

    13,228

    Other financial assets - current (1)

    683,812

    607,258

    Short-term borrowings

    440,608

    437,375

    Long-term borrowings

    1,743,939

    1,573,150

    Medium-term notes

    228,483

    224,755

    Convertible bonds

    403,329

    406,357

    Corporate bonds

    496,689

    496,234

    Total debt

    3,313,048

    3,137,871

    Net debt(2)

    790,936

    1,411,464

    Equity

    6,721,335

    5,996,429

    Total debt to equity ratio(3)

    49.3%

    52.3%

    Net debt to equity ratio(4)

    11.8%

    23.5%

     

    Note:

    (1)  Other financial assets – current mainly contains financial products sold by bank and bank deposits over 3 months.

    (2)  Net debt is total debt minus cash and cash equivalent, and other financial assets.

    (3)  Total debt divided by equity.

    (4)  Net debt divided by equity.

     

    Cash Flow

    Amounts in US$ thousands

    4Q17

    3Q17

    Net cash from operating activities

    323,698

    419,540

    Net cash used in investing activities

    (467,541)

    (399,015)

    Net cash from financing activities

    847,250

    217,493

    Effect of exchange rate changes

    15,744

    5,013

    Net change in cash and cash equivalent

    719,151

    243,031

    Capex Summary

    Recent Highlights and Announcements

  • Capital expenditures were $498.7 million in 4Q17, compared to $451.1 million in 3Q17.
  • The 2017 capital expenditures for foundry operations were $2,458.4 million, of which $948.0 million and $510.5 million were spent for the expansion of capacity in their majority-owned Beijing 300mm fab and in their new Shenzhen 300mm fab respectively. The 2017 capital expenditures for non-foundry operations were $29.5 million primarily for the construction of employees' living quarters.
  • The planned 2018 capital expenditures for foundry operations are approximately $1.9 billion, of which approximately $0.5 billion and $0.4 billion are expected to be spent for the expansion of capacity in their majority-owned Beijing 300mm fab and in their new project in Tianjin respectively. The planned 2018 capital expenditures for non-foundry operations are approximately $47.7 million, mainly for the construction of employees' living quarters.
  • Discloseable Transaction and Connected Transaction Proposed Capital Contribution and Deemed Disposal of Equity Interest in SMSC (2018-1-30)
  • Notification of Board Meeting (2018-1-18)
  • Notice of Extraordinary General Meeting (2018-1-17)
  • Closure of Register of Members (2018-1-17)
  • Circulars - Notification Letter for Registered Shareholders (2018-1-17)
  • Circulars - Notification Letter and Request Form for Non-registered Shareholders (2018-1-17)
  • Form of Proxy for Use at the Extraordinary General Meeting to be Held on 8 February 2018 (2018-1-17)
  • Circulars – (1) Discloseable and Continuing Connected Transactions in Relation to Framework Agreement and (2) Notice of Extraordinary General Meeting (2018-1-17)
  • Connected Transaction Disposal of Assets (2018-1-2)
  • Non-exempt Connected Transactions - Exercise of Pre-emptive Rights and Additional Subscriptions by Datang and China IC Fund (2017-12-15)
  • Completion of the Issue of US$65 Million Perpetual Subordinated Convertible Securities (2017-12-15)
  • SMIC and Efinix™ Quickly Deliver the First Quantum™-Accelerated Silicon Product (2017-12-13)
  • Continuing Connected Transactions and Discloseable Transactions in Relation to Framework Agreement (2017-12-07)
  • Completion of Placing of New Shares under General Mandate (2017-12-06)
  • (1) Placing of New Shares under General Mandate (2) Proposed Issue of US$65 Million Perpetual Subordinated Convertible Securities (3) Pre-emptive Right of Datang (4) Pre-emptive Right of China IC Fund and (5) Pre-emptive Right of Country Hill (2017-11-29)
  • Potential Non-exempt Connected Transactions - Potential Exercise of Pre-emptive Rights by Datang and China IC Fund (2017-11-28)
  • SMIC Reports Unaudited Results for the Three Months Ended September 30, 2017 (2017-11-14)
  • Invensas DBI Technology Now Available at SMIC (2017-11-08)
  • Notification of Board Meeting (2017-10-24)
  • List of Directors and Their Roles and Functions (2017-10-16)
  • Appointment of Co-Chief Executive Officer and Executive Directors (2017-10-16)
  • ACTT's Complete IoT Solution Now Available on SMIC 55nm eFlash Platform (2017-10-10)
  • Please visit SMIC's website at http://www.smics.com/eng/press/press_releases.php and http://www.smics.com/eng/investors/ir_filings.php

    for further details regarding the recent announcements.

     

    For the three months ended

    December 31, 2017

    September 30, 2017

    (Unaudited)

    (Unaudited)

    Revenue

    787,174

    769,723

    Cost of sales

    (638,678)

    (592,426)

    Gross profit

    148,496

    177,297

    Research and development expenses, net

    (101,300)

    (106,848)

    General and administration expenses

    (58,201)

    (46,104)

    Sales and marketing expenses

    (6,393)

    (9,587)

    Other operating income (expense), net

    20,571

    7,947

    Operating expenses

    (145,323)

    (154,592)

    Profit from operations

    3,173

    22,705

    Other income (expense), net

    (6,086)

    7,290

    (Loss) profit before tax

    (2,913)

    29,995

    Income tax benefit

    1,217

    595

    (Loss) profit for the period

    (1,696)

    30,590

    Other comprehensive income (loss)

    Item that may be reclassified subsequently to profit or loss

    Exchange differences on translating foreign operations

    8,458

    5,686

    Change in value of available-for-sale financial assets

    (67)

    (455)

    Cash flow hedges

    (595)

    5,620

    Share of other comprehensive income of joint venturesaccounted for using the equity method(3)

    11,755

    5,891

    Items that will not be reclassified to profit or loss

    Actuarial gains and losses on defined benefit plans

    (556)

    32

    Total comprehensive income for the period

    17,299

    47,364

    Profit (loss) for the period attributable to:

    Owners of the Company

    47,718

    25,899

    Non-controlling interests

    (49,414)

    4,691

    (1,696)

    30,590

    Total comprehensive income (loss) for the period attributable to:

    Owners of the Company

    66,335

    41,903

    Non-controlling interests

    (49,036)

    5,461

    17,299

    47,364

    Earnings per share attributable to Semiconductor Manufacturing    International Corporation ordinary shareholders

    Basic

    $0.01

    $0.01

    Diluted

    $0.01

    $0.01

    Earnings per ADS attributable to Semiconductor Manufacturing    International Corporation ordinary ADS holders

    Basic

    $0.05

    $0.03

    Diluted

    $0.05

    $0.03

    Shares used in calculating basic earnings per share

    4,728,773,273

    4,651,304,338

    Shares used in calculating diluted earnings per share

    5,159,200,254

    4,690,039,191

    Reconciliations of Non-GAAP Financial Measures to  Comparable GAAP Measures

    Non-GAAP operating expenses(1)

    (200,561)

    (189,097)

    EBITDA(2)

    258,248

    260,285

    EBITDA margin(2)

    32.8%

    33.8%

     

    Note:

    (1)   Non-GAAP operating expenses are defined as operating expenses adjusted to exclude the effect of employee bonus accrual, government funding, gain or loss on the disposal of machinery and equipment and gain from the disposal of living quarters. SMIC reviews non-GAAP operating expenses together with operating expenses to understand, manage and evaluate its business and make financial and operational decisions. The Group also believes it is useful supplemental information for investors and analysts to assess its operating performance. However, the use of non-GAAP financial measures has material limitations as an analytical tool. One of the limitations of using non-GAAP financial measures is that they do not include all items that impact their net profit for the period. In addition, because non-GAAP financial measures are not calculated in the same manner by all companies, they may not be comparable to other similarly titled measures used by other companies. In light of the foregoing limitations, you should not consider the non-GAAP operating expenses in isolation from or as an alternative to operating expenses prepared in accordance with IFRS.

    The following table sets forth the reconciliation of the non-GAAP operating expenses to its most directly comparable financial measure presented in accordance with IFRS, for the periods indicated.

     

    For the three months ended

    December 31, 2017

    September 30, 2017

    December 31, 2016

    (Unaudited)

    (Unaudited)

    (Unaudited)

    Operating expenses

    (145,323)

    (154,592)

    (196,994)

    Employee bonus accrued

    776

    -

    28,644

    Government funding

    (46,833)

    (28,459)

    (23,635)

    (Gain) loss on the disposal of   machinery and equipment

    (5,913)

    (4,972)

    9,936

    Gain from the disposal of living   quarters

    (3,268)

    (1,074)

    (1,246)

    Non-GAAP operating expenses

    (200,561)

    (189,097)

    (183,295)

     

    (2)   EBITDA is defined as profit for the period excluding the impact of the finance cost, depreciation and amortization, and income tax benefit and expense. EBITDA margin is defined as EBITDA divided by revenue. SMIC uses EBITDA margin as a measure of operating performance; for planning purposes, including the preparation of the Group's annual operating budget; to allocate resources to enhance the financial performance of the Group's business; to evaluate the effectiveness of the Group's business strategies; and in communications with SMIC's board of directors concerning the Group's financial performance. Although EBITDA is widely used by investors to measure a company's operating performance without regard to items, such as net finance cost, income tax benefit and expense and depreciation and amortization that can vary substantially from company to company depending upon their respective financing structures and accounting policies, the book values of their assets, their capital structures and the methods by which their assets were acquired, EBITDA has limitations as an analytical tool, and you should not consider it in isolation or as a substitute for analysis of the Group's results of operations as reported under IFRS. Some of these limitations are: it does not reflect the Group's capital expenditures or future requirements for capital expenditures or other contractual commitments; it does not reflect changes in, or cash requirements for, the Group's working capital needs; it does not reflect finance cost; it does not reflect cash requirements for income taxes; that, although depreciation and amortization are non-cash charges, the assets being depreciated or amortized will often have to be replaced in the future, and these measures do not reflect any cash requirements for these replacements; and that other companies in SMIC's industry may calculate these measures differently than SMIC does, limiting their usefulness as comparative measures.

    The following table sets forth the reconciliation of EBITDA and EBITDA margin to their most directly comparable financial measures presented in accordance with IFRS, for the periods indicated.

     

    For the three months ended

    December 31, 2017

    September 30, 2017

    December 31, 2016

    (Unaudited)

    (Unaudited)

    (Unaudited)

    (Loss) profit for the period

    (1,696)

    30,590

    58,038

    Finance costs

    9,420

    (12,906)

    9,253

    Depreciation and amortization

    251,741

    243,196

    215,586

    Income tax benefit

    (1,217)

    (595)

    (8,547)

    EBITDA

    258,248

    260,285

    274,330

    Profit margin

    -0.2%

    4.0%

    7.1%

    EBITDA margin

    32.8%

    33.8%

    33.7%

    (3)   The comparative figure of 3Q17 has been revised to conform the current period's presentation. For further details, please refer to Note (4) on Page 5 and the analysis on Page 6.

    As of

    December 31, 2017

    September 30, 2017

    (Unaudited)

    (Unaudited)

    ASSETS

    Non-current assets

    Property, plant and equipment                   

    6,523,403

    6,289,743

    Land use right

    97,477

    98,040

    Intangible assets

    219,944

    228,072

    Investments in associates

    758,241

    740,931

    Investments in joint ventures(2)

    31,681

    20,907

    Deferred tax assets

    44,875

    42,027

    Other financial assets

    17,598

    10,448

    Restricted cash

    13,438

    13,228

    Other assets

    42,810

    33,359

    Total non-current assets

    7,749,467

    7,476,755

    Current assets

    Inventories

    622,679

    625,283

    Prepayment and prepaid operating expenses

    34,371

    37,545

    Trade and other receivables

    616,308

    609,849

    Other financial assets

    683,812

    607,258

    Restricted cash

    336,043

    339,596

    Cash and cash equivalent

    1,838,300

    1,119,149

    4,131,513

    3,338,680

    Assets classified as held-for-sale

    37,471

    38,942

    Total current assets

    4,168,984

    3,377,622

    TOTAL ASSETS

    11,918,451

    10,854,377

    EQUITY AND LIABILITIES

    Capital and reserves

    Ordinary shares, $0.004 par value, 10,000,000,000 shares authorized, 4,916,106,889 and 4,651,624,748 shares issued and outstanding at December 31, 2017 and September 30, 2017, respectively(1)

    19,664

    18,606

    Share premium(1)

    4,827,619

    4,475,807

    Reserves(2)

    134,669

    119,791

    Retained earnings

    187,008

    131,961

    Equity attributable to owners of the Company

    5,168,960

    4,746,165

    Perpetual subordinated convertible securities(3)

    64,073

    -

    Non-controlling interests

    1,488,302

    1,250,264

    Total equity

    6,721,335

    5,996,429

    Non-current liabilities

    Borrowings

    1,743,939

    1,573,150

    Convertible bonds

    403,329

    406,357

    Bonds payable

    496,689

    496,234

    Medium-term notes

    228,483

    224,755

    Deferred tax liabilities

    16,412

    13,280

    Deferred government funding

    299,749

    291,894

    Other financial liabilities

    1,919

    15,633

    Other liabilities(4)

    99,817

    30,309

    Total non-current liabilities

    3,290,337

    3,051,612

    Current liabilities

    Trade and other payables

    1,050,460

    1,019,153

    Borrowings

    440,608

    437,375

    Deferred government funding

    193,158

    178,293

    Accrued liabilities

    180,912

    170,735

    Other financial liabilities

    744

    -

    Current tax liabilities

    270

    780

    Other liabilities(4)

    40,627

    -

    Total current liabilities

    1,906,779

    1,806,336

    Total liabilities

    5,197,116

    4,857,948

    TOTAL EQUITY AND LIABILITIES

    11,918,451

    10,854,377

     

    Note:

    (1)   On December 6, 2017, pursuant to the terms and conditions of the placing agreement entered by the Company and joint placing agents, the Company allotted and issued 241,418,625 placing shares, representing approximately 4.92% of the issued share capital of the Company as enlarged by the issue of the placing shares, to not less than six independent placees at the price of HK$10.65 per placing share. The gross proceeds of the placing are approximately HK$2.57 billion (approximately US$329.1 million) and the net proceeds of the placing (after deduction of fees, commissions and expenses) are approximately HK$2.55 billion (approximately US$326.4 million).

     

    (2)   Both reserves and investments in joint ventures included an accumulated amount of $17.6 million in 4Q17 (3Q17: $5.9 million). The amount was recognized as the Group's share of the change in value of available-for-sale financial assets of the joint ventures, which are all unlisted companies invested indirectly through China IC Capital Co., Ltd (a wholly-owned investment fund company of the Company).

     

    (3)   On December 14, 2017, the Company fulfilled all conditions set out in the placed perpetual subordinated convertible securities (the "PSCS") subscription agreement and completed the issue of the PSCS in the principal amount of US$65.0 million. The net proceeds (after deduction of fees, commissions and expenses) are approximately US$64.1 million. Assuming full conversion of the PSCS at the initial conversion price of HK$12.78, the PSCS will be convertible into 39,688,654 paced conversion shares.

     

    (4)   Other liabilities including the non-current and current portion of long-term payables for the new purchased tangible and intangible assets were classified into the non-current and current liabilities respectively in 4Q17. Additionally, other liabilities included a potential cash compensation accrued in 4Q17 that may be incurred depending on the profit of Suzhou Changjiang Electric Xinke Investment Co., Ltd during the three years of 2017, 2018 and 2019. The potential cash compensation was deemed as the terms of the supplemental agreement entered by SilTech Semiconductor (Shanghai) Corporation Limited (an indirectly wholly-owned subsidiary of the Company) and Jiangsu Changjiang Electronics Technology Co., Ltd on December 9, 2016.

     

    For the three months ended

    December 31, 2017

    September 30, 2017

    (Unaudited)

    (Unaudited)

    Cash flow from operating activities

    (Loss) profit for the period

    (1,696)

    30,590

    Depreciation and amortization

    251,741

    243,196

    Share of loss (gain) of investment using equity method

    3,023

    (1,181)

    Changes in working capital and others

    70,630

    146,935

    Net cash from operating activities

    323,698

    419,540

    Cash flow from investing activities:

    Payments for property, plant and equipment

    (410,945)

    (691,170)

    Payments for intangible assets

    (7,410)

    (7,217)

    Net proceeds after netting off land appreciation tax from disposal ofproperty, plant and equipment  and assets classified as held for sale(1)

    10,182

    418,956

    Changes in restricted cash relating to investing activities

    26,732

    -

    Payments to acquire financial assets

    (86,233)

    (99,668)

    Proceeds on sale of financial assets

    14,200

    9,871

    Payment to acquire long-term investment

    (15,095)

    (30,042)

    Proceeds from disposal of equity investment

    1,028

    -

    Distributions received from associates

    -

    255

    Net cash used in investing activities

    (467,541)

    (399,015)

    Cash flow from financing activities:

    Proceeds from borrowings

    389,547

    275,554

    Repayment of borrowings

    (240,076)

    (58,417)

    Proceeds from exercise of employee stock options

    13,078

    356

    Proceeds from issuance of perpetual subordinated convertible securities

    64,350

    -

    Proceeds from non-controlling interest – capital contribution

    294,000

    -

    Proceeds from issuance of shares

    326,351

    -

    Net cash from financing activities

    847,250

    217,493

    Effects of exchange rate changes on the balance of cash held in foreign

    currencies

    15,744

    5,013

    Net increase in cash and cash equivalent

    719,151

    243,031

    Cash and cash equivalent, beginning of period

    1,119,149

    876,118

    Cash and cash equivalent, end of period

    1,838,300

    1,119,149

     

    Note:

    (1)   In 3Q17, there were seven financing arrangements in total consideration of US$410.8 million entered into by the Group with Xincheng Leasing (Tianjin) Co., Ltd, Xindian Leasing (Tianjin) Co., Ltd and Xinlu Leasing (Tianjin) Co., Ltd. (the three leasing companies are wholly-owned subsidiaries of Sino IC Leasing Co., Ltd., an associate of the Group) respectively, in the form of a sale and leaseback transaction with a repurchase option. A batch of production equipment of the Group was sold and leased back under these financing arrangements. As the repurchase prices are set at the expected fair value and the Group is not reasonably certain that it will exercise the repurchase options, the above transactions have been accounted for a disposal of property, plant and equipment followed with an operating lease.

     

    As at the date of this announcement, the directors of the Company are:

    Executive DirectorsZhou Zixue (Chairman)Zhao HaiJun (Co-Chief Executive Officer)Liang Mong Song (Co-Chief Executive Officer)Gao Yonggang (Chief Financial Officer and Joint Company Secretary)

    Non-executive DirectorsTzu-Yin Chiu (Vice Chairman)Chen ShanzhiZhou JieRen KaiLu JunTong Guohua

    Independent Non-executive DirectorsWilliam Tudor BrownLip-Bu TanCarmen I-Hua ChangShang-yi ChiangJason Jingsheng Cong

    By order of the BoardSemiconductor Manufacturing International CorporationDr. Gao YonggangExecutive Director, Chief Financial Officer and Joint Company Secretary

    Shanghai, PRCFebruary 8, 2018

    * For identification purposes only


    Importing Your MongoDB Data to AWS With Atlas | killexams.com real questions and Pass4sure dumps

    Cloud providers like Amazon Web Services provide you with a large array of options for hosting MongoDB. But in their experience supporting development teams, long-term management of the data layer, whether that is MongoDB, or any other database, adds operational overhead, and can also distract available resources from more strategic initiatives. MongoDB Atlas provides you with a managed database service, run by MongoDB, that allows you to seamlessly deploy and expand your data layer, reducing the cycles your team spends on undifferentiated database administration work.

    MongoDB Atlas

    Instance Configuration Considerations

    AWS provides users with many options when it comes to compute and disk storage, but selecting the right options can be tricky if you’re not experienced. And as your application grows, increased management complexity may become an issue.

    If your instance size is no longer the right option for you in AWS, resizing may require you to make manual modifications. Long term, this may also require you to further manage the day to day aspects of the health of your EBS volumes, which involves creating new alerts for every EBS volume that you create each time, new tagging of information related to the disks, and further inventory documentation. You could manage this by yourself and indeed many organizations have built up the expertise and internal processes to do so. Or you could move to a more managed model for your data layer, one where operational and security best practices are handled for you.

    Selecting MongoDB Atlas as the platform for your MongoDB database means that rather than concerning yourself with scaling, you can point and click to select the right cluster for your data; Atlas automatically handles the upgrade. Alerting, IOPS management, and long-term management are simplified for you with MongoDB Atlas.

    Secure in the Cloud

    Security should always be top of mind for a production application. When running a MongoDB deployment, it's important to follow best practices. Is your database's network properly configured to prevent unwanted users from accessing it? Rather than configuring this yourself, the easiest way to ensure your data is secure is by using MongoDB Atlas, and letting the service handle it for you.

    "We need speed. Speed's what they need. Greasy, fast speed!"— Mickey in Rocky II

    Innovation requires the ability to move quickly, and self hosted environments require more work by the user to make major modifications to their database server's disk size or speed.Here are just some of the reasons you might consider using a database as a service like MongoDB Atlas rather than managing databases yourself:

  • A self-managed database may eventually run out of local disk space, which will require manual intervention; MongoDB Atlas allows you to expand disk on the fly.
  • A self-managed database will require you to set up and maintain a monitoring suite or pay for a third-party hosted monitoring service; MongoDB Atlas comes out of the box with charts tracking relevant metrics, so you get insights faster, and get notifications when it is time to adjust capacity
  • A self-managed database solution requires you to define the processes and infrastructure for data durability; MongoDB Atlas offers continuous backups with point in time recovery and queryable snapshots.
  • A self-managed database may buckle under a large influx of new traffic until you manually intervene; MongoDB Atlas allows you to dynamically scale your database while allowing your front end app to handle new incoming traffic.
  • The very basic examples above demonstrate why many companies are migrating from their self-managed instances to database services with built in operational and security best practices. In this blog post, I'll discuss the process of taking a standalone MongoDB server and migrating it to MongoDB Atlas, the fully managed MongoDB database as a service using the data import service.

    Migrating to Database as a Service (DBaaS)

    MongoDB Atlas live migration supports the following migration paths for specific MongoDB versions.

    Source Replica Set Version Destination Cluster version 3.0 3.2 3.2 3.2 3.4 3.4

    Before I get started, I want to be certain to verify my MongoDB version is supported. Later in this post, I'll verify what my existing version is.

    Standalone (Migration Source)

    Today I will be working with data that is housed on my development Linux server in the cloud. Because the MongoDB installation was for development, it was created as a standalone instance. I want to run a db.serverStatus() to collect some basic details before I get my migration started. I can go to the command line of this standalone database server and run the following command, db.serverStatus(); here are some truncated results:

    [root@myappdev people-bson]# echo "db.serverStatus()" | mongo | more MongoDB shell version v3.4.4 connecting to: mongodb://127.0.0.1:27017 MongoDB server version: 3.4.4 { "host" : "myappdev", "version" : "3.4.4", "process" : "mongod", "pid" : NumberLong(3031), "uptime" : 534, "uptimeMillis" : NumberLong(533489), "uptimeEstimate" : NumberLong(533), "localTime" : ISODate("2017-05-04T20:32:33.082Z"), "asserts" : { "regular" : 0, "warning" : 0, "msg" : 0, "user" : 0, "rollovers" : 0 },

    The hostname above myappdev is part of my /etc/hosts file. I'll need to have a fully qualified domain name as part of my hostname that resolves in order to convert my standalone. I’m running MongoDB version 3.4.4, which is supported by Atlas live migration.

    [root@myappdev people-bson]# ping myappdev PING localhost6 (127.0.0.1) 56(84) bytes of data. 64 bytes from localhost (127.0.0.1): icmp_seq=1 ttl=255 time=0.013 ms 64 bytes from localhost (127.0.0.1): icmp_seq=2 ttl=255 time=0.023 ms Convert the Standalone to a Replica Set

    Tip: If you’re already running a MongoDB replica set, just skip ahead to "MongoDB Atlas (Migration Target)" section.

    In order to migrate data with Atlas live migration, my MongoDB database must have an oplog. My standalone server is not configured with an oplog, so I'll have to convert it to a replica set. To do this, I'll need to make some changes to my MongoDB configuration — I can start mongod from a configuration file, /etc/mongod.conf, and edit accordingly. As a replica set, my cluster will have an oplog, which their MongoDB Atlas data migration service will use in the migration process. This ensures that the data being written to my application will also be written to my destination cluster in MongoDB Atlas as the migration process is happening.

    Convert standalone

    First, I open the file in vim and state that my database is now a replica set. I can do this by opening the /etc/mongod.conf file and adding the following two lines to the very bottom of the file:

    replication: replSetName: myapp

    After I add this change, I'll need to restart mongod quickly. I can use my local restart script that was provided when I installed MongoDB:

    [root@myappdev people-bson]# service mongod restart Stopping mongod: [ OK ] Starting mongod: [ OK ]

    I can log into this cluster and initialize the replica set with the rs.initiate() command:

    [root@myappdev people-bson]# mongo MongoDB shell version v3.4.4 connecting to: mongodb://127.0.0.1:27017 MongoDB server version: 3.4.4 Server has startup warnings: 2017-05-04T21:15:59.900+0000 I STORAGE [initandlisten] 2017-05-04T21:15:59.900+0000 I STORAGE [initandlisten] ** WARNING: Using the XFS filesystem is strongly recommended with the WiredTiger storage engine 2017-05-04T21:15:59.900+0000 I STORAGE [initandlisten] ** See http://dochub.mongodb.org/core/prodnotes-filesystem 2017-05-04T21:16:00.126+0000 I CONTROL [initandlisten] 2017-05-04T21:16:00.126+0000 I CONTROL [initandlisten] ** WARNING: Access control is not enabled for the database. 2017-05-04T21:16:00.126+0000 I CONTROL [initandlisten] ** Read and write access to data and configuration is unrestricted. 2017-05-04T21:16:00.126+0000 I CONTROL [initandlisten] > rs.initiate() { "info2" : "no configuration specified. Using a default configuration for the set", "me" : "myappdev:27017", "ok" : 1 } myapp:PRIMARY> show databases admin 0.000GB local 0.000GB people-list 0.163GB

    Our standalone MongoDB instance now is a single node replica set with an oplog, permitting us to start the migration process.

    Firewall Rules

    In order to permit access to my single node replica set for the migration to take place, I will need to make just a few more changes. I will need to permit inbound network connections to my single node replica set in both MongoDB and on my firewall. If I did not happen to be using a firewall, I would only have to modify the network interfaces the mongod process binds itself to.

    I will be adding IP's 4.71.186.128/25 and 4.35.16.128/25 to my firewall to access my MongoDB port (27017) as directed by the live import documentation. If my source server was in AWS, I would be making this modification to my MongoDB development server's security group.

    bindIP

    By default, this is just localhost or 127.0.0.1, which will not permit remote services access to the mongod port, 27017. Once again, it's time to return to the /etc/mongod.conf file and make a modification.

    Open the /etc/mongod.conf file and find the line:

    bindIp: 127.0.0.1 # Listen to local interface only, comment to listen on all interfaces.

    Add a hash sign before this line as the directions say. It should look like this:

    # bindIp: 127.0.0.1 # Listen to local interface only, comment to listen on all interfaces.

    Then restart mongod and confirm your database is back online:

    [root@myappdev people-bson]# mongo MongoDB shell version v3.4.4 connecting to: mongodb://127.0.0.1:27017 MongoDB server version: 3.4.4 Server has startup warnings: 2017-05-04T21:32:16.631+0000 I STORAGE [initandlisten] 2017-05-04T21:32:16.631+0000 I STORAGE [initandlisten] ** WARNING: Using the XFS filesystem is strongly recommended with the WiredTiger storage engine 2017-05-04T21:32:16.631+0000 I STORAGE [initandlisten] ** See http://dochub.mongodb.org/core/prodnotes-filesystem 2017-05-04T21:32:16.856+0000 I CONTROL [initandlisten] 2017-05-04T21:32:16.856+0000 I CONTROL [initandlisten] ** WARNING: Access control is not enabled for the database. 2017-05-04T21:32:16.856+0000 I CONTROL [initandlisten] ** Read and write access to data and configuration is unrestricted. 2017-05-04T21:32:16.856+0000 I CONTROL [initandlisten] myapp:PRIMARY> MongoDB Atlas (Migration Target)

    To get ready for my migration, I first need to sign up for MongoDB Atlas, create a group, and then create a new cluster. You will need to use a production MongoDB Atlas cluster in order to migrate your data as the M0 free tier is not currently supported as a migration target.

    I have launched an M10 cluster to become my migration target. As a reminder, I can modify this at any time to make it larger, or add different disk properties.

    I'll go ahead and then provide a whitelist entry to my web app host server's IP and then connect to my MongoDB Atlas cluster via the shell to ensure my database is working properly.

    Whitelist entry

    This will make sure I am able to make a network connection as soon as I am ready to cut over to my new MongoDB Atlas cluster.

    Now I can begin this process of importing my data into Atlas. I've gone ahead and selected the menu option "Migrate Data to Cluster", which will begin the process of importing my data.

    Migrate data to cluster

    A new window providing me details on required actions is surfaced next. This window will detail some of the requirements such as the authentication details, the primary hostname, and a CAFile if I’m using SSL on my single node replica set.

    I've prepped all the right parts, it's time to click "I'm ready to migrate" and get to work!

    Ready to migrate

    Migrate to MongoDB Atlas

    I am now brought to a window which asks me for a few details about my source. Since I was really not certain about authentication when I built my app, I only used network-based security. There won't be a username and password, nor SSL on my single node replica set to enter.

    I only have a single node, so by default this is the primary I’ll provide to the dialog box. After I click "Validate", I will be given a green window stating that the oplog is readable from the import service, and that I’m ready to migrate my data.

    Migrate data

    I will now go ahead and click "Start Migration" and begin the process of importing my data to MongoDB Atlas.

    Start migration

    While the data is migrated, I will see the progress in my MongoDB Atlas cluster continue until I am provided with an indication of the completion of the initial sync from my “remote” replica set to my MongoDB Atlas cluster.

    Setting Up Database Users

    With MongoDB Atlas’ user management capabilities, I can configure a "least privilege access control" for my app. I will go to Security->Users and create a user for my webapp with access only to the database "people-list", which is where new writes will be stored.

    myapp:PRIMARY> show databases admin 0.000GB local 0.000GB people-list 0.163GB

    Add new user

    Now I'll take this user information and my connection string from MongoDB Atlas and begin the process of switching over in my app. I click config and get the default login for my cluster, but I'll modify it slightly to reflect their database's name and the database user I created for it. You can always test this first by accessing your user from the shell:

    [root@myappdev people-bson]# mongo "mongodb://records-shard-00-00-x8fks.mongodb.net:27017,records-shard-00-01-x8fks.mongodb.net:27017,records-shard-00-02-x8fks.mongodb.net:27017/people-list?replicaSet=records-shard-0" --authenticationDatabase admin --ssl --username peopleuser --password MongoDB shell version v3.4.4 Enter password: connecting to: mongodb://records-shard-00-00-x8fks.mongodb.net:27017,records-shard-00-01-x8fks.mongodb.net:27017,records-shard-00-02-x8fks.mongodb.net:27017/people-list?replicaSet=records-shard-0 2017-05-04T21:59:40.506+0000 I NETWORK [thread1] Starting new replica set monitor for records-shard-0/records-shard-00-00-x8fks.mongodb.net:27017,records-shard-00-01-x8fks.mongodb.net:27017,records-shard-00-02-x8fks.mongodb.net:27017 MongoDB server version: 3.4.4 records-shard-0:PRIMARY> Cutover and update connection string

    It's time to finalize my migration. I can now click the "Start Cutover" button, which will provide me details on how to complete the import to Atlas. You're provided with instructions to stop your app; in their case, I'll just stop NodeJS.

    Next, I’m going to wait for the optime gap to reach zero in the window; this means my sync is up to date with the last changes to the oplog:

    optime gap reaches zero

    I enter in my new connection string in my app's configuration file:

    module.exports = { remoteUrl : '', localUrl: 'mongodb://peopleuser:$PASSWORD@records-shard-00-00-x8fks.mongodb.net:27017,records-shard-00-01-x8fks.mongodb.net:27017,records-shard-00-02-x8fks.mongodb.net:27017/people-list?ssl=true&replicaSet=records-shard-0&authSource=admin' };

    Finally, I can click "I'M DONE" in my import window. Once I click I'm done, I restart my NodeJS app. I'm brought to a window confirming the process has been completed!

    App running on MongoDB Atlas

    My app is online and running on MongoDB Atlas; the migration process only required me to stop and update one file and restart my node process. The replacement of my connection string and restarting of the node was done manually. I could have performed the change by updating a git repository and having my DevOps tools such as Chef, Puppet or Ansible perform the required change and restart.

    Conclusion

    I am now fully in production and ready to grow. By using MongoDB Atlas, I have the full benefits of a fully managed database service for my app in production!



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