Features and Amenities
Features and Amenities:
Wifi ready study area
Gym and Function Room
Features and Amenities:
2 Lap Pools
Ground Floor Commercial Areas
Features and Amenities:
3 Swimming Pools
Gym and Fitness Center
Outdoor Basketball Court
Contact us today for a no obligation quotation:
Copyright © 2018 SMDC :: SM Residences, All Rights Reserved.
Exam Questions Updated On :
precisely equal questions, WTF!
That is an truely legitimate 000-600 exam sell off, which you now not often stumble upon for a higher degree exams (sincerely due to the truth the accomplice stage dumps are less complicated to make!). In this case, the whole thing is good, the 000-600 dump is surely legitimate. It helped me get a nearly perfect score on the exam and sealed the deal for my 000-600. You could believe this brand.
these 000-600 actual take a look at questions works in the real take a look at.
Thankyou killexams..I have cleared my 000-600 exam with 92%. Your question economic team have become very beneficial. If all people practices a hundred% certainly from your question set and research all the questions rightly, then hes going to definately prevail. Till now i have cleared three extraordinary tests all with the help of your site. Thanks again.
Do you want latest dumps of 000-600 examination, it's far right vicinity?
This is a gift from killexams.com for all the candidates to get latest study materials for 000-600 exam. All the members of killexams.com are doing a great job and ensuring success of candidates in 000-600 exams. I passed the 000-600 exam just because I used killexams.com materials.
How a lot 000-600 exam and prep manual cost?
killexams.com is an accurate indicator for a students and customers functionality to work and test for the 000-600 exam. it is an correct indication in their potential, in particular with tests taken shortly before taking off their academic test for the 000-600 exam. killexams.com offers a reliable updated. The 000-600 tests provide a radical image of candidates potential and capabilities.
It is right place to find 000-600 actual test questions paper.
I had bought your online mock test of 000-600 exam and feature passed it in the first try. I am very lots grateful to you in your support. Its a delight to inform that i have passed the 000-600 exam with seventy nine% marks..thank you killexams.com for the whole thing. You men are virtually wondeful. Please maintain up the good work and hold updating the cutting-edge questions.
it's far genuinely superb revel in to have 000-600 real take a look at questions.
Candidates spend months trying to get themselves organized for their 000-600 test but for me it turned into all only a days work. You could wonder how someone would be able to complete any such super mission in only a day Let me tell you, all I had to do became check in my
000-600 questions and answers that works in the real test.
With fine two weeks to move for my 000-600 exam, I felt so helpless considering my bad practise. But, needed to pass the check badly as I wanted to alternate my undertaking. In the end, i discovered the question and answer with the useful resource of killexams.com which eliminated my concerns. The content material of the manual modified into wealthy and particular. The clean and short answers helped make out the subjects without difficulty. Excellent guide, killexams. Additionally took help from 000-600 professional Cert guide and it helped.
actual 000-600 examination inquiries to bypass examination at first try.
regardless of having a full-time process at the side of circle of relatives duties, I decided to take a seat for the 000-600 exam. And i used to be searching for easy, quick and strategic guiding principle to make use of 12 days time beforeexam. I got these kinds of in killexams.com . It contained concise solutions that have been easy to remember. thank you lots.
Do you need real test qustions of 000-600 exam?
I changed into in a hurry to skip the 000-600 exam because I had to put up my 000-600 certificates. I should try and search for some on line assist regarding my 000-600 test so I started searching. I observed this killexams.com and became so hooked that I forgot what I became doing. In the cease it was not in vain seeing that this killexams.com got me to skip my test.
forget the entirety! just forcus on those 000-600 questions.
killexams.com become a blessing for 000-600 exam, for the reason that machine has masses of tiny info and configuration tricks, which may be tough in case you dont have a good deal of 000-600 experience. killexams.com 000-600 questions and answers are sufficient to sit and pass the 000-600 test.
Blockchain acquired a number of mentions all over IBM’s convention call with analysts after revenue have been released Tuesday (April 16) after the markets closed. synthetic intelligence (AI) obtained greater publicity, tied in part to the carrying on with method of embracing the cloud.
when it comes to headline numbers, adjusted income per share got here in at $2.25, beating expectations by way of three pennies.
Revenues ignored expectations, at $18.2 billion; the street had been attempting to find $18.5 billion. The latest excellent-line tally marked a 5 percent decline from a 12 months in the past, and continued the reconfiguring of certain enterprise traces and outright income of different units. by means of illustration, all over the quarter, the tech large sold its loan servicing company to Mr. Cooper community. And in the newest quarter, IBM changed the way it reviews consequences – what turned into once the know-how functions & Cloud structures segment is now the Cloud & Cognitive application and international expertise features phase.
The world expertise services phase – tied to tech infrastructure and support of that infrastructure – saw revenues of $6.9 billion, down 7 p.c. enterprise functions had been $four.1 billion, roughly flat. systems earnings slipped 11 % as mainframe and other hardware demand slid, and demand appeared delicate in emerging markets. CFO James Kavanaugh pointed to the Asia Pacific (AP) place, which noticed income deceleration.
The cloud and cognitive application effects, which center of attention on cloud statistics and transactions, also saw revenue declines, albeit greater muted, with $5 billion in sales, off 1.5 p.c year on 12 months. The enterprise doesn't break out the profits contribution of efforts that are driven by using and embrace AI or blockchain.
become independent from the call and the newest results, during the past it has been mentioned that IBM has filed for a couple of blockchain-linked patents. for instance, the enterprise spoke of it has worked with the transport firm Maersk to assist streamline overseas logistics. The collaboration, called TradeLens, makes use of wise contracts to handle expenses of lading and other documentation used in freight. before that announcement, IBM noted it is working with Walmart to enrich the latter’s meals business provide chain.
In extra element on first-quarter consequences, Kavanaugh stated the enterprise in familiar had “effective performance in offerings that support customers with their digital transformation and journeys to cloud.” Cloud boom accelerated to 12 p.c, measured in steady foreign money, referred to the government.
Cloud revenues are at $19.5 billion during the previous yr, observed administration. application income have been driven by way of hybrid cloud items (with information and AI structures), protection and answer and areas like deliver chain and Watson fitness.
“These offerings are increasingly being infused with AI and then transaction processing systems, together with the middleware and database utility that supports their clients’ mission-essential workloads,” observed Kavanaugh.
management stated that in terms of concrete examples of demand for cloud and company automation – and as is germane to funds – one European tax authority is using the enterprise’s digital enterprise automation platform to “re-design their tax strategies around their facts lake and increase the tax payor journey.”
Our records and analytics group has developed a couple of inventive methodologies and frameworks that measure and benchmark the innovation that’s reshaping the payments and commerce ecosystem. take a look at their April 2019 Unattended Retail file.
international company Machines IBM is decided to report first-quarter fiscal 2019 effects on Apr 16. specifically, the business surpassed the Zacks Consensus Estimate within the trailing four quarters with ordinary beat of 1.39%.
in the final suggested quarter, the company delivered non-GAAP earnings of $four.87 per share, beating the Zacks Consensus Estimate of $4.eighty one per share. despite the fact, earnings per share (EPS) lowered 5.9% from the year-in the past quarter. The 12 months-over-12 months decline in EPS may also be attributed to bigger tax rate.
Revenues of $21.seventy six billion were just about in accordance with the Zacks Consensus Estimate of $21.seventy four billion. although, the figure declined 3.5% on a yr-over-year foundation. At steady foreign money (cc), revenues dipped 1%. The yr-over-yr decline can primarily be attributed to forex fluctuation and headwinds from IBM Z product cycle.
tips & Estimates
The Zacks Consensus Estimate for the to-be-stated quarter is pegged at $18.sixty five billion, down roughly 2.2% from the 12 months-in the past quarter. additional, the consensus mark for salary is pegged at $2.22 per share, indicating year-over-yr decline of 9.4%.
IBM expects non-GAAP EPS forecast for 2019 to be at least $13.90. The Zacks Consensus Estimate for income is pegged at $13.ninety one per share, up marginally 7% yr over year.
Let’s see how issues are shaping up earlier than this announcement.
foreign company Machines service provider rate and EPS surprise
overseas enterprise Machines enterprise expense and EPS shock | overseas business Machines service provider Quote
components to agree with
IBM’s initiatives in blockchain, cloud and business AI market through product rollouts and strategic offers bode smartly. furthermore, the company’s enhancing clout within the cloud, protection and analytics is still a tailwind.
in the fourth quarter, Strategic Imperatives (cloud, analytics, mobility and protection) grew 5% from the 12 months-in the past quarter to $11.5 billion.
Cloud revenues surged 6% from the 12 months-ago quarter to $5.7 billion and 19% (aside from IBM Z product cycle influence).
Coming to techniques, the phase includes both hardware and working programs software revenues. extensive-primarily based adoption of the z14 mainframe, vigor systems and robust flash sales stay key catalysts for the phase.
methods revenues decreased 21% on a year-over-12 months foundation (down 20% at cc) to $2.6 billion, basically because of affect of the IBM Z product cycle. Segmental revenues bearing on Strategic Imperatives plunged 22%, whereas Cloud revenues declined 31%.
IBM Z revenues reduced forty four% 12 months over yr. although, MIPS capacity has expanded round 20%, driven through large-based adoption of the z14 mainframe.
Cognitive solutions’ revenues-exterior increased 2% 12 months over yr (on cc basis) to $5.5 billion. Revenues from Cognitive solutions (together with options application and transaction processing) increased essentially as a result of boom in options utility, together with analytics and artificial intelligence (AI). The Zacks Consensus Estimate for the primary quarter is at present pegged at $four.14 billion.
Revenues from world enterprise features-external section have been $four.three billion, up 4% from the yr-ago quarter (up 6% at cc). The yr-over-yr raise was essentially due to boom throughout all three company areas specifically consulting, application management and international manner functions. The Zacks Consensus Estimate for the first quarter is pegged at $4.23 billion.
Revenues from know-how features & Cloud platforms-external lowered three% from the 12 months-ago quarter (flat at cc) to $8.9 billion. The Zacks Consensus Estimate for the primary quarter is pegged at $8.27 billion.
Product Rollouts & Strategic deals: Key Catalysts
IBM these days completed the launch of its subsequent generation POWER9 processors for mid-range and excessive-conclusion techniques. These are designed for managing superior analytics, cloud environments and data-intensive workloads in AI, HANA, and UNIX markets.
The enterprise additionally introduced new choices optimizing each hardware and software for AI. administration believes that products like PowerAI vision and PowerAI enterprise will support pressure new customer adoption.
IBM increased partnership with Vodafone community. Per the deal, IBM’s advanced hybrid cloud platform, AI, and IoT capabilities will aid Vodafone enterprise with digital transformation initiatives.
IBM also announced that IBM Cloud can be utilized via RemoteMyApp, a online game streaming startup based mostly out of Poland. IBM Cloud will support RemoteMyApp to extend international market attain and increase its flagship gaming platform, Vortex.
The effective growth in cloud gaming market and extending focus on video online game streaming systems presents gigantic increase chance for IBM.
additional, IBM cloud is witnessing increasing adoption throughout companies based in Europe as evident from this deal. above all, IBM Cloud offers native eu-primarily based aid to its clientele wherein access can also be confined to completely eu-primarily based IBM personnel. These components are helping the tech massive to expand foothold in Europe
IBM is also benefiting from superb client wins, above all in the sports area of late. IBM is introducing several initiatives to bolster journey of the entities concerned in sports leagues, from players, coaches to lovers and management.
The business’s bid to integrate AI into sports programs’ is in sync with its method to head beyond fan engagement to influencing gamers with strong thoughts. These imaginitive solutions aided by means of IBM’s Watson positions the enterprise well in gaining momentum.
IBM is also gaining momentum in blockchain expertise. The traction witnessed by means of the enterprise’s Watson adverts providing is bolstering the exact line, in turn assisting IBM to more suitable compete towards peers.
whereas these trends are anticipated to positively affect effects, IBM’s continuing investments and pricing power concerning its legacy hardware company and ballooning debt stages stay headwinds.
What the Zacks model Unveils
in accordance with the Zacks mannequin, an organization with a Zacks Rank #1 (effective buy), 2 (purchase) or 3 (dangle) has a superb probability of beating estimates if it additionally has a favorable earnings ESP. The promote-rated shares (Zacks Rank #4 or 5) are most beneficial avoided.
IBMhas a Zacks Rank #three and an salary ESP of 0.00%. that you may uncover the top-rated stocks to purchase or sell earlier than they’re stated with our profits ESP Filter.
stocks with Favorable combination
listed here are a couple of stocks which are price due to the fact as their model shows that these have the correct mixture of aspects to carry an revenue beat in the upcoming releases.
The progressive organization PGR has an revenue ESP of +0.09% and a Zacks Rank #2.you can see the comprehensive list of nowadays’s Zacks #1 Rank stocks here.
RLI Corp. RLI has an earnings ESP of +2.56% and a Zacks Rank #2.
Netflix, Inc. NFLX has an income ESP of +0.44% and a Zacks Rank #three.
Radical New expertise Creates $12.3 Trillion probability
think about buying Microsoft stock in the early days of personal computers… or Motorola after it released the world’s first cell phone. These technologies changed their lives and created large gains for traders.
today, we’re close to the next quantum bounce in expertise. 7 ingenious corporations are leading this “4th Industrial Revolution” - and early traders stand to earn the largest gains.
See the 7 leap forward shares now>>
need the newest suggestions from Zacks funding analysis? today, that you may down load 7 top-rated stocks for the subsequent 30 Days. click on to get this free document international enterprise Machines company (IBM) : Free inventory evaluation document Netflix, Inc. (NFLX) : Free stock evaluation document RLI Corp. (RLI) : Free stock evaluation document The innovative employer (PGR) : Free stock evaluation record To examine this article on Zacks.com click here. Zacks funding research
Many IT departments have implemented utility solutions that go beyond standard transaction and analytical processing. These applications comprise fashions that describe definite data behaviors, and these models consume latest records to look if these patterns of facts habits exist. in that case, operational systems can use this counsel to make decisions. a pretty good example of this is fraud detection. IT information engineers use analytics on historical records to examine when fraud happened, code this into a model, and install the mannequin as a provider. Then, any operational system can invoke the mannequin, flow it current facts and acquire a mannequin “rating” that represents the likelihood that a transaction could be fraudulent.
The widely wide-spread time period for these new programs is artificial intelligence (AI). They consist of a mixture of search, optimization and analytics algorithms, statistical evaluation ideas and template processes for ingesting statistics, executing these ideas and making the effects purchasable as functions referred to as fashions. The subset of AI that offers with mannequin introduction and implementation is occasionally known as laptop gaining knowledge of (ML).machine getting to know and artificial Intelligence
IT departments enforce ML and AI options in the broader context of their facts and processing footprint. here's continually depicted as the following 4-layer hierarchy.
Layer 1: The information.
this layer incorporates the facts distributed throughout the business. It contains mainframe and allotted facts comparable to product and earnings databases, transactional facts and analytical statistics in the statistics warehouse and any big records functions. It additionally may consist of client, seller and organization statistics, perhaps at far flung sites, and even extends to public facts comparable to twitter, news feeds and survey outcomes. an additional possible supply of information is server efficiency logs that encompass aid usage background.
observe that these records exist throughout distinctive hardware systems together with on-premises and cloud-based. As such, quite a few statistics features can exist in distinct kinds and formats (e.g. textual content, ASCII, EBCDIC, UTF-8, XML, photos, audio clips, and so forth.). furthermore, at this stage will exist hardware and utility that manage the facts, including excessive-pace statistics loaders, facts purge and archive tactics, post-and-subscribe approaches for data replication, as well as these for normal backup and restoration and disaster healing planning.
Layer 2: The Analytics Engines.
during this layer exist a mix of hardware and software that executes enterprise analytics towards the records layer. There are a couple of typical avid gamers during this house. They encompass:
simply as the records layer happens throughout distinctive hardware systems and dispensed websites, so will the analytics engines layer. The most important function of this accretion is to give an optimized records entry layer in opposition t the underlying information as a service for AI and operational functions.
Layer three: The laptop researching Platform.
IT implements computer learning software in this layer. It accesses the data through one or extra of the analytics engines. it's in this layer that IBM promises its newest offering, Watson desktop researching for z/OS (WMLz). WMLz offers a primary desktop getting to know workflow which include right here steps:
records scientists be aware of that one of the crucial highest quality merits of desktop discovering is to make use of the outcomes in operational programs; for example, having an ML mannequin analyze fiscal facts to determine the probability of fraud. This means that you're going to obtain top-quality efficiency in case you set up ML in the hardware ambiance where transaction processing happens. for a lot of big organizations this skill the IBM zServer ambiance.
Layer 4: computing device researching options.
Now that they have the laptop discovering platform purchasable as ML functions, they are able to create mixed AI/ML options that invoke these capabilities. IBM has a couple of capable-made solutions for this deposit, together with right here:
Let’s take a deeper dive into how Watson laptop learning on Z (WMLz) works and what capabilities it can provide.
Key efficiency indications (KPIs). WMLz does not inherently understand what performance elements are crucial to you. however, as soon as these KPIs are defined (either via a person or by way of implementing one of the computer discovering solutions stated above), WMLz can analyze KPI records to seek correlations. for example, when one KPI (say, I/O against a critical database) goes up, an extra KPI (say CPU utilization) may go up as smartly. As one more instance, a number of KPIs can be behaviorally similar, so WMLz can cluster them as a bunch and function further analysis across agencies. WMLz can additionally examine KPI baseline behaviors in line with time-of-day, time zone of transactions or seasonal activity.
Anomaly Detection. as soon as correlations are discovered, WMLz can seem to be opposite outcomes and report them as anomalies. In their I/O example above, an anomaly would be mentioned if I/O in opposition t a important database expanded however CPU utilization diminished.
sample awareness. As with many machine gaining knowledge of engines, WMLz will look for patterns amongst KPIs and facts identifiers. for example, CPU might also increase when processing definite categories of transactions.
KPI prediction. An extension of fundamental KPI processing, WMLz can use the past behaviors of groups of KPIs to foretell the future. accept as true with their I/O illustration once once more. The product might also realize that definite transactions become more a large number of all over a selected time duration, and these transactions devour drastically extra CPU cycles. The product may additionally then predict future CPU spikes.
Batch workload evaluation. Many IT retail outlets have a huge contingent of batch processing it's tightly scheduled and comprises job and aid dependencies. Some jobs ought to wait for his or her predecessors to comprehensive, some use massive shared elements (corresponding to tape drives or strong point hardware) and some are so resource-intensive that then can't be accomplished at the equal time. WMLz can analyze the workload information, together with aid usage, and supply recommendations for balancing materials or tuning elapsed instances.
MLC can charge sample analysis and price discount. Some IBM utility license prices are billed monthly, and the license amount might also depend upon optimum CPU usage throughout peak periods. WMLz can analyze CPU usage throughout time, search for patterns and make predictions and recommendations for utility license cost discount.Watson computing device studying for z/OS — elements
IBM’s Watson desktop gaining knowledge of for z/OS permits IT its option of building environments to strengthen models together with IBM SPSS Modeler. These environments support records scientists by using notebooks, statistics visualization tools and wizards to speed the construction method. a couple of short-beginning application templates are additionally integrated within the toolset for common company necessities equivalent to fraud detection, load approval and IT operational analytics. The newest version of WMLz (edition 2.1.0) includes assist for Ubuntu Linux on Z, java APIs, simplified Python equipment administration and a number of other elements.
fascinated readers should reference the hyperlinks under for greater distinct technical information.
# # #
See all articles with the aid of Lockwood LyonREFERENCES
computer learning and synthetic Intelligencehttps://en.wikipedia.org/wiki/Machine_learning
statistics and AI on IBM Zhttps://www.ibm.com/analytics/z-analytics
the use of Anaconda with Spark — Anaconda 2.0 documentationhttps://medical doctors.anaconda.com/anaconda-scale/spark/
Watson computing device discovering - Overviewhttps://www.ibm.com/cloud/computer-researching
Watson desktop researching - Resourceshttps://www.ibm.com/cloud/machine-researching/resources
While it is very hard task to choose reliable certification questions / answers resources with respect to review, reputation and validity because people get ripoff due to choosing wrong service. Killexams.com make it sure to serve its clients best to its resources with respect to exam dumps update and validity. Most of other's ripoff report complaint clients come to us for the brain dumps and pass their exams happily and easily. They never compromise on their review, reputation and quality because killexams review, killexams reputation and killexams client confidence is important to us. Specially they take care of killexams.com review, killexams.com reputation, killexams.com ripoff report complaint, killexams.com trust, killexams.com validity, killexams.com report and killexams.com scam. If you see any false report posted by their competitors with the name killexams ripoff report complaint internet, killexams.com ripoff report, killexams.com scam, killexams.com complaint or something like this, just keep in mind that there are always bad people damaging reputation of good services due to their benefits. There are thousands of satisfied customers that pass their exams using killexams.com brain dumps, killexams PDF questions, killexams practice questions, killexams exam simulator. Visit Killexams.com, their sample questions and sample brain dumps, their exam simulator and you will definitely know that killexams.com is the best brain dumps site.
HP2-B121 free pdf download | Adwords-Reporting bootcamp | HP0-095 real questions | HP3-029 braindumps | 642-279 dump | MB2-719 pdf download | FC0-U41 cram | PARCC cheat sheets | M2080-713 braindumps | NSCA-CPT real questions | 3107 exam questions | HP0-265 study guide | 1Z0-436 VCE | CGFNS exam prep | 000-M19 test questions | FPGEE questions answers | OG0-092 examcollection | E20-585 practice exam | 050-854 braindumps | ST0-247 real questions |
Real 000-600 questions that showed up in test today
Our 000-600 exam prep material gives all of you that you should take a confirmation exam. Their IBM 000-600 Exam will give you exam questions with affirmed answers that mirror the real exam. High gauge and motivating force for the 000-600 Exam. They at killexams.com guaranteed to empower you to pass your 000-600 exam with high scores.
Just get their 000-600 questions bank and feel assured regarding the 000-600 exam. You will pass 000-600 your test at high marks or refund. they have got aggregative an information of 000-600 Dumps from real tests thus on offer you an opportunity to induce prepared and pass 000-600 exam on the first attempt. Merely found out their test engine and acquire prepared. You will pass the test. killexams.com Discount Coupons and Promo Codes are as under; WC2017 : 60% Discount Coupon for all exams on website PROF17 : 10% Discount Coupon for Orders larger than $69 DEAL17 : 15% Discount Coupon for Orders larger than $99 SEPSPECIAL : 10% Special Discount Coupon for All Orders Detail is at http://killexams.com/pass4sure/exam-detail/000-600
Great 000-600 items: they have their specialists Team to guarantee their IBM 000-600 exam questions are dependably the latest. They are for the most part exceptionally comfortable with the exams and testing focus.
How they keep IBM 000-600 exams updated?: they have their uncommon approaches to know the latest exams data on IBM 000-600. Once in a while they contact their accomplices exceptionally acquainted with the testing focus or now and again their clients will email us the latest criticism, or they got the latest input from their dumps advertise. When they discover the IBM 000-600 exams changed then they update them ASAP.
Unconditional promise?: on the off chance that you really come up short this 000-600 System z Solution Sales V4 and don't need to sit tight for the update then they can give you full refund. Yet, you ought to send your score answer to us with the goal that they can have a check. They will give you full refund quickly amid their working time after they get the IBM 000-600 score report from you.
IBM 000-600 System z Solution Sales V4 Product Demo?: they have both PDF adaptation and Software variant. You can check their product page to perceive what it like.
killexams.com Huge Discount Coupons and Promo Codes are as under;
WC2017: 60% Discount Coupon for all exams on website
PROF17: 10% Discount Coupon for Orders greater than $69
DEAL17: 15% Discount Coupon for Orders greater than $99
DECSPECIAL: 10% Special Discount Coupon for All Orders
At the point when will I get my 000-600 material after I pay?: Generally, After successful payment your username/password are sent at your email address inside 5 min. Be that as it may, if any deferral in bank side for installment approval, at that point it takes minimal longer.
000-600 | 000-600 | 000-600 | 000-600 | 000-600 | 000-600
Killexams 9A0-394 braindumps | Killexams 000-863 test prep | Killexams C2020-702 practice test | Killexams MSNCB exam prep | Killexams MB3-214 brain dumps | Killexams 3002 practice exam | Killexams P2090-086 Practice test | Killexams 000-N13 exam prep | Killexams 1Z0-330 test prep | Killexams 000-555 dump | Killexams CPAT examcollection | Killexams HP0-D06 pdf download | Killexams 000-M248 mock exam | Killexams 650-026 practice test | Killexams 000-201 study guide | Killexams 70-357 braindumps | Killexams PANRE questions answers | Killexams C2090-541 practice questions | Killexams HH0-120 free pdf | Killexams 000-532 Practice Test |
Killexams A2010-599 brain dumps | Killexams 9A0-035 real questions | Killexams 00M-237 free pdf download | Killexams HP0-D02 practice test | Killexams 000-134 free pdf | Killexams M2040-641 study guide | Killexams ST0-132 examcollection | Killexams 9A0-144 dump | Killexams LOT-829 bootcamp | Killexams A2180-270 exam prep | Killexams 920-468 braindumps | Killexams 920-338 Practice Test | Killexams 650-302 cram | Killexams HP0-D21 practice test | Killexams C9520-928 sample test | Killexams HP5-B05D test prep | Killexams C2090-102 real questions | Killexams JN0-311 questions and answers | Killexams CBEST study guide | Killexams HP0-J49 test prep |
At AdExchanger’s Programmatic I/O conference in San Francisco on April 30, Laura Nelson, Disney’s SVP of advertising solutions and performance advertising, will share how it’s selling connected TV as consumer habits and advertising preferences change.
Disney is on a mission to unify its inventory across platforms and offer buyers alluring scale against much smaller audience segments.
In the new Disney platform, buyers will be able to find their target audience across ESPN, ABC and Freeform with a single buy. They can also find larger pools of content. If they want news, for example, they can pair ESPN with ABC News. And just weeks ago, the 21st Century Fox deal closed, adding FX and National Geographic inventory to the group.
While unification is the goal, the platform is still a work in progress. Disney signed a deal with Google Ad Manager in November 2018 to unify all its inventory across networks. Structurally, Disney is already aligned. Three months before Disney made the move to unify its tech, it added ESPN to the purview of Rita Ferro, who now oversees ad sales from ABC to ESPN.
Beginning in October at the start of the broadcast year, Disney wants to make it possible to look at connected TV (CTV) inventory across its portfolio, from Apple TV to Roku, and then do campaign delivery across platforms.
That platform unification won’t include two pieces. The first is Hulu; though Disney now owns a majority stake in Hulu, it can’t access subscriber data to inform buys. Its own content there runs on a completely separate technology stack. The second piece is Disney+. The much-publicized direct-to-consumer streaming service will be available by subscription only, with no ads.
Laura Nelson, Disney’s SVP of advertising solutions and performance marketing, talked to AdExchanger about Disney’s vision to make it easy for buyers to purchase audience segments across different networks, with the vision of converging digital, CTV and linear.
AdExchanger: How is Disney making CTV inventory more attractive to buyers?
LAURA NELSON: Buyers see CTV – which brings the best of digital and linear into one place – as attractive already. They are focused across all their inventory to make sure it’s as targetable as possible. There are sometimes challenges with unlocking that targeting.
What’s an example of a situation where it’s difficult to unlock that data?
We have to go platform by platform to do any infrastructure integration between systems. On ABC, the majority of the inventory runs on Hulu. It also runs on Dish Sling. Hulu fully owns its ad stack and the platform, so they don’t have to worry about their distribution deals.
That’s a good point. How do programmers like Disney secure data to help buyers when a good chunk of the data is held by intermediaries, like distributors, devices or platforms?
Advanced targeting can go through first-, second- or third-party data. Clients increasingly want to transact against their first-party data, so they want to enable that. They have relationships with LiveRamp or Oracle’s BlueKai to unlock audience segments. There is a third bucket, where they have a team focused on creating first-party audience segments that are different across Disney affinity brands as well as their network.
What goes into Disney’s first-party data offering?
We take learnings about audiences tied to their inventory and match it with first-party data so they can more accurately target and assess behavior segments. That’s a big focus around CTV. They have a team to make sure this machine learning extends to all platforms [desktop, mobile app] including CTV.
It’s a predictive model their data science team created that looks at viewership information from mobile games, inventory on their own platforms as well as [viewership, not subscription] information from Hulu. And they add surveys to create audience segments and predict that this person is more likely to buy X, Y or Z. It’s not necessarily one-to-one targeting. We’re making sure we’re doing this in a privacy-safe way.
What’s an example of how Disney inventory will be unified as you migrate to Google Ad Manager?
We will have the ability to move inventory across different brands with the creation of one deal ID. On the direct side, [it’s] the ability to buy inventory across ABC and Freeform. It was different setups before. When you bring inventory types together, like ESPN and ABC News, you think about how you could bring those live news or short-form video content types together and sell against an audience. In silos, the scale wasn’t there. You need scale for an audience-based buy.
What’s different about the way you see buyers asking to transact today?
Historically, there’s been the divide between the traditional linear buyer and digital buyer. But in the premium content space, agencies and clients understand that you need to buy inventory across platforms, not separately. There is a move across all agencies to figure out how to transact in this manner. Getting to a place where you are buying audiences across platforms is the future. They need to agree on measurement to make that happen.
What are the biggest gaps today in terms of data?
There is not a standard device ID across OTT devices. And it’s difficult to identify the identifier on OTT devices. Everyone works with them in a different way, and there are differences in how and where you integrate with those platforms.
We’re trying to figure out how to create proxies for that OTT viewing, and how to measure or target against that [proxy]. They know there is promise, but there is not unification in how you’re identifying those users.
This interview has been edited and condensed.
Many IT departments have implemented software solutions that go beyond simple transaction and analytical processing. These packages contain models that describe certain data behaviors, and these models consume current data to see if these patterns of data behavior exist. If so, operational systems can use this information to make decisions. A good example of this is fraud detection. IT data engineers use analytics on historical data to determine when fraud occurred, code this into a model, and deploy the model as a service. Then, any operational system can invoke the model, pass it current data and receive a model “score” that represents the probability that a transaction may be fraudulent.
The general term for these new packages is artificial intelligence (AI). They consist of a combination of search, optimization and analytics algorithms, statistical analysis techniques and template processes for ingesting data, executing these techniques and making the results available as services called models. The subset of AI that deals with model creation and implementation is sometimes called machine learning (ML).Machine Learning and Artificial Intelligence
IT departments implement ML and AI solutions in the broader context of their data and processing footprint. This is usually depicted as the following four-layer hierarchy.
Layer 1: The Data.
This layer contains the data distributed across the enterprise. It includes mainframe and distributed data such as product and sales databases, transactional data and analytical data in the data warehouse and any big data applications. It also may include customer, vendor and supplier data, perhaps at remote sites, and even extends to public data such as twitter, news feeds and survey results. Another possible source of data is server performance logs that include resource usage history.
Note that these data exist across diverse hardware platforms including on-premises and cloud-based. As such, various data elements can exist in multiple forms and formats (e.g. text, ASCII, EBCDIC, UTF-8, XML, images, audio clips, etc.). In addition, at this level will exist hardware and software that manage the data, including high-speed data loaders, data purge and archive processes, publish-and-subscribe processes for data replication, as well as those for standard backup and recovery and disaster recovery planning.
Layer 2: The Analytics Engines.
In this layer exist a mixture of hardware and software that executes business analytics against the data layer. There are several common players in this space. They include:
Just as the data layer occurs across multiple hardware platforms and distributed sites, so will the analytics engines layer. The major function of this layer is to provide an optimized data access layer against the underlying data as a service for AI and operational applications.
Layer 3: The Machine Learning Platform.
IT implements machine learning software in this layer. It accesses the data through one or more of the analytics engines. It is in this layer that IBM delivers its latest offering, Watson Machine Learning for z/OS (WMLz). WMLz provides a basic machine learning workflow consisting of the following steps:
Data scientists know that one of the greatest benefits of machine learning is to use the results in operational systems; for example, having an ML model analyze financial data to determine the possibility of fraud. This means that you will achieve best performance when you deploy ML in the hardware environment where transaction processing occurs. For many large organizations this means the IBM zServer environment.
Layer 4: Machine Learning Solutions.
Now that they have the machine learning platform available as ML services, they can create combined AI/ML solutions that invoke those services. IBM has several ready-made solutions for this layer, including the following:
Let’s take a deeper dive into how Watson Machine Learning on Z (WMLz) works and what services it can provide.
Key Performance Indicators (KPIs). WMLz does not inherently know what performance factors are important to you. However, once these KPIs are defined (either by a user or by implementing one of the machine learning solutions noted above), WMLz can analyze KPI data to look for correlations. For example, when one KPI (say, I/O against a critical database) goes up, another KPI (say CPU usage) may go up as well. As another example, several KPIs may be behaviorally similar, so WMLz can cluster them as a group and perform further analysis across groups. WMLz can also determine KPI baseline behaviors based on time-of-day, time zone of transactions or seasonal activity.
Anomaly Detection. Once correlations are discovered, WMLz can look opposite effects and report them as anomalies. In their I/O example above, an anomaly would be reported if I/O against a critical database increased but CPU usage decreased.
Pattern Recognition. As with many machine learning engines, WMLz will look for patterns among KPIs and data identifiers. For example, CPU may increase when processing certain categories of transactions.
KPI prediction. An extension of basic KPI processing, WMLz can use the past behaviors of groups of KPIs to predict the future. Consider their I/O example once again. The product may detect that certain transactions become more numerous during a particular time period, and these transactions consume significantly more CPU cycles. The product may then predict future CPU spikes.
Batch workload analysis. Many IT shops have a large contingent of batch processing that is tightly scheduled and includes job and resource dependencies. Some jobs must wait for their predecessors to complete, some use significant shared resources (such as tape drives or specialty hardware) and some are so resource-intensive that then cannot be executed at the same time. WMLz can analyze the workload data, including resource usage, and provide recommendations for balancing resources or tuning elapsed times.
MLC cost pattern analysis and cost reduction. Some IBM software license charges are billed monthly, and the license amount may depend upon maximum CPU usage during peak periods. WMLz can analyze CPU usage across time, look for patterns and make predictions and recommendations for software license cost reduction.Watson Machine Learning for z/OS — Features
IBM’s Watson Machine Learning for z/OS allows IT its choice of development environments to develop models including IBM SPSS Modeler. These environments assist data scientists by using notebooks, data visualization tools and wizards to speed the development process. Several quick-start application templates are also incorporated in the toolset for common business requirements such as fraud detection, load approval and IT operational analytics. The latest version of WMLz (version 2.1.0) includes support for Ubuntu Linux on Z, java APIs, simplified Python package management and several other features.
Interested readers should reference the links below for more detailed technical information.
# # #
See all articles by Lockwood LyonREFERENCES
Machine Learning and Artificial Intelligencehttps://en.wikipedia.org/wiki/Machine_learning
Data and AI on IBM Zhttps://www.ibm.com/analytics/z-analytics
Using Anaconda with Spark — Anaconda 2.0 documentationhttps://docs.anaconda.com/anaconda-scale/spark/
Watson Machine Learning - Overviewhttps://www.ibm.com/cloud/machine-learning
Watson Machine Learning - Resourceshttps://www.ibm.com/cloud/machine-learning/resources
Apr 18, 2019 (The Expresswire via COMTEX) -- In this report, global Wireless Connectivity market by type, application, region and manufacturer and forecast. For the region, type and application, the sales, revenue and their market share, growth rate are key research objects.
Wireless Connectivity Marketanalysis report delivers the latest industry data and future trends, letting you to recognize the products and end users which derives the revenue growth and profitability. The Wireless Connectivity report lists the top competitors and delivers the insights strategic industry analysis of the key aspects influencing the market.
Get Sample Copy of this Report at-https://www.industryresearch.co/enquiry/request-sample/12900119
Report further studies the Wireless Connectivity market development status and future trend across the world. Also, it splits Wireless Connectivity market by type and by applications to fully and deeply research and reveal market profile and prospects.
Wireless Connectivity Market by Top Manufacturers:Intel, Qualcomm, NXP Semiconductors, Stmicroelectronics, Texas Instruments, Microchip Technology, Mediatek, Cypress Semiconductor, Broadcom, Enocean, Nexcom International Co., Ltd., Skyworks Solutions, Inc., Murata Manufacturing Co., Ltd., Marvell Technology Group Ltd., Quantenna Communications, Inc., Renesas Electronics Corporation, Nordic Semiconductor, Ceva, Inc., Espressif Systems Pte., Ltd., Peraso Technologies, Inc.
By Connectivity TechnologyWi-Fi, Bluetooth Classic, Bluetooth Smart, Bluetooth Smart Ready, Z-Wave, ZigBee, Near Field Communication (NFC), GPS/GNSS, Others (include N-Wave, Wi-SUN, Extended Coverage€“GSM€“Internet of Things (EC-GSM-IoT), Weightless, Ingenu, Qowisio, Wi-Fi HaLow, Wireless Highway Addressable Remote Transducer Protocol (WirelessHART), and Telensa.)
By TypeWireless Local Area Network (WLAN), Wireless Personal Area Network (WPAN), Satellite (GNSS), Low-Power Wide-Area Network (LPWAN), Cellular,
Inquire more and share questions if any before the purchase on this report at-https://www.industryresearch.co/enquiry/pre-order-enquiry/12900119
Geographically, this report is segmented into several key regions, with sales, revenue, market share and growth Rate of Wireless Connectivity in these regions, from 2014 to 2024, covering
Report Price: $ 3500 (Single-User License)
Purchase Wireless Connectivity Market Report Here-https://www.industryresearch.co/purchase/12900119
Detailed TOC of 2018-2023 Global and Regional Wireless Connectivity Industry Production, Sales and Consumption Status and Prospects Professional Market Research Report
Chapter 1 Industry Overview
1.2 Brief Introduction by Major Type
1.3 Brief Introduction by Major Application
Chapter 2 Production Market Analysis
2.1 Global Production Market Analysis
2.2 Regional Production Market Analysis
Chapter 3 Sales Market Analysis
3.1 Global Sales Market Analysis
3.2 Regional Sales Market Analysis
Chapter 4 Consumption Market Analysis
4.1 Global Consumption Market Analysis
4.2 Regional Consumption Market Analysis
Chapter 5 Production, Sales and Consumption Market Comparison Analysis
5.1 Global Production, Sales and Consumption Market Comparison Analysis
5.2 Regional Production, Sales Volume and Consumption Volume Market Comparison Analysis
Chapter 6 Major Manufacturers Production and Sales Market Comparison Analysis
6.1 Global Major Manufacturers Production and Sales Market Comparison Analysis
6.2 Regional Major Manufacturers Production and Sales Market Comparison Analysis
Chapter 7 Major Type Analysis
Chapter 8 Major Application Analysis
Chapter 9 Industry Chain Analysis
9.1 Up Stream Industries Analysis
9.1.1 Raw Material and Suppliers
9.1.2 Equipment and Suppliers
9.2 Manufacturing Analysis
9.2.1 Manufacturing Process
9.2.2 Manufacturing Cost Structure
9.2.3 Manufacturing Plants Distribution Analysis
9.3 Industry Chain Structure Analysis
Chapter 10 Global and Regional Market Forecast
10.1 Production Market Forecast
10.1.1 Global Market Forecast
10.1.2 Major Region Forecast
10.2 Sales Market Forecast
10.2.1 Global Market Forecast
10.2.2 Major Classification Forecast
10.3 Consumption Market Forecast
10.3.1 Global Market Forecast
10.3.2 Major Region Forecast
10.3.3 Major Application Forecast
Chapter 11 Major Manufacturers Analysis
11.1 Company 3
11.1.1 Company Introduction
11.1.2 Product Specification and Major Types Analysis
11.1.3 2012-2017 Production Market Performance
11.1.4 2012-2017 Sales Market Performance
11.1.5 Contact Information
11.2 Company 2
11.2.1 Company Introduction
11.2.2 Product Specification and Major Types Analysis
11.2.3 2012-2017 Production Market Performance
11.2.4 2012-2017 Sales Market Performance
11.2.5 Contact Information
11.3 Company 3
11.3.1 Company Introduction
11.3.2 Product Specification and Major Types Analysis
11.3.3 2012-2017 Production Market Performance
11.3.4 2012-2017 Sales Market Performance
11.3.5 Contact Information
Chapter 12 New Project Investment Feasibility Analysis
12.1 New Project SWOT Analysis
12.2 New Project Investment Feasibility Analysis
About Us: -
Industry Research is an upscale platform to help key personnel in the business world in strategizing and taking visionary decisions based on facts and figures derived from in depth market research. They are one of the top report resellers in the market, dedicated towards bringing you an ingenious concoction of data parameters.
Name: Ajay More
Organization: Industry Research
Phone: US +1424 253 0807, UK +44 203 239 8187
Press Release Distributed by The Express Wire
To view the original version on The Express Wire visit Wireless Connectivity Market Updated Research 2023: Major Drivers, Key Trends and Emerging Opportunities Forecast 2023
3COM [8 Certification Exam(s) ]
AccessData [1 Certification Exam(s) ]
ACFE [1 Certification Exam(s) ]
ACI [3 Certification Exam(s) ]
Acme-Packet [1 Certification Exam(s) ]
ACSM [4 Certification Exam(s) ]
ACT [1 Certification Exam(s) ]
Admission-Tests [13 Certification Exam(s) ]
ADOBE [93 Certification Exam(s) ]
AFP [1 Certification Exam(s) ]
AICPA [2 Certification Exam(s) ]
AIIM [1 Certification Exam(s) ]
Alcatel-Lucent [13 Certification Exam(s) ]
Alfresco [1 Certification Exam(s) ]
Altiris [3 Certification Exam(s) ]
Amazon [2 Certification Exam(s) ]
American-College [2 Certification Exam(s) ]
Android [4 Certification Exam(s) ]
APA [1 Certification Exam(s) ]
APC [2 Certification Exam(s) ]
APICS [2 Certification Exam(s) ]
Apple [69 Certification Exam(s) ]
AppSense [1 Certification Exam(s) ]
APTUSC [1 Certification Exam(s) ]
Arizona-Education [1 Certification Exam(s) ]
ARM [1 Certification Exam(s) ]
Aruba [8 Certification Exam(s) ]
ASIS [2 Certification Exam(s) ]
ASQ [3 Certification Exam(s) ]
ASTQB [8 Certification Exam(s) ]
Autodesk [2 Certification Exam(s) ]
Avaya [101 Certification Exam(s) ]
AXELOS [1 Certification Exam(s) ]
Axis [1 Certification Exam(s) ]
Banking [1 Certification Exam(s) ]
BEA [5 Certification Exam(s) ]
BICSI [2 Certification Exam(s) ]
BlackBerry [17 Certification Exam(s) ]
BlueCoat [2 Certification Exam(s) ]
Brocade [4 Certification Exam(s) ]
Business-Objects [11 Certification Exam(s) ]
Business-Tests [4 Certification Exam(s) ]
CA-Technologies [20 Certification Exam(s) ]
Certification-Board [10 Certification Exam(s) ]
Certiport [3 Certification Exam(s) ]
CheckPoint [43 Certification Exam(s) ]
CIDQ [1 Certification Exam(s) ]
CIPS [4 Certification Exam(s) ]
Cisco [318 Certification Exam(s) ]
Citrix [48 Certification Exam(s) ]
CIW [18 Certification Exam(s) ]
Cloudera [10 Certification Exam(s) ]
Cognos [19 Certification Exam(s) ]
College-Board [2 Certification Exam(s) ]
CompTIA [76 Certification Exam(s) ]
ComputerAssociates [6 Certification Exam(s) ]
Consultant [2 Certification Exam(s) ]
Counselor [4 Certification Exam(s) ]
CPP-Institute [4 Certification Exam(s) ]
CSP [1 Certification Exam(s) ]
CWNA [1 Certification Exam(s) ]
CWNP [13 Certification Exam(s) ]
CyberArk [1 Certification Exam(s) ]
Dassault [2 Certification Exam(s) ]
DELL [11 Certification Exam(s) ]
DMI [1 Certification Exam(s) ]
DRI [1 Certification Exam(s) ]
ECCouncil [22 Certification Exam(s) ]
ECDL [1 Certification Exam(s) ]
EMC [128 Certification Exam(s) ]
Enterasys [13 Certification Exam(s) ]
Ericsson [5 Certification Exam(s) ]
ESPA [1 Certification Exam(s) ]
Esri [2 Certification Exam(s) ]
ExamExpress [15 Certification Exam(s) ]
Exin [40 Certification Exam(s) ]
ExtremeNetworks [3 Certification Exam(s) ]
F5-Networks [20 Certification Exam(s) ]
FCTC [2 Certification Exam(s) ]
Filemaker [9 Certification Exam(s) ]
Financial [36 Certification Exam(s) ]
Food [4 Certification Exam(s) ]
Fortinet [14 Certification Exam(s) ]
Foundry [6 Certification Exam(s) ]
FSMTB [1 Certification Exam(s) ]
Fujitsu [2 Certification Exam(s) ]
GAQM [9 Certification Exam(s) ]
Genesys [4 Certification Exam(s) ]
GIAC [15 Certification Exam(s) ]
Google [4 Certification Exam(s) ]
GuidanceSoftware [2 Certification Exam(s) ]
H3C [1 Certification Exam(s) ]
HDI [9 Certification Exam(s) ]
Healthcare [3 Certification Exam(s) ]
HIPAA [2 Certification Exam(s) ]
Hitachi [30 Certification Exam(s) ]
Hortonworks [4 Certification Exam(s) ]
Hospitality [2 Certification Exam(s) ]
HP [752 Certification Exam(s) ]
HR [4 Certification Exam(s) ]
HRCI [1 Certification Exam(s) ]
Huawei [21 Certification Exam(s) ]
Hyperion [10 Certification Exam(s) ]
IAAP [1 Certification Exam(s) ]
IAHCSMM [1 Certification Exam(s) ]
IBM [1533 Certification Exam(s) ]
IBQH [1 Certification Exam(s) ]
ICAI [1 Certification Exam(s) ]
ICDL [6 Certification Exam(s) ]
IEEE [1 Certification Exam(s) ]
IELTS [1 Certification Exam(s) ]
IFPUG [1 Certification Exam(s) ]
IIA [3 Certification Exam(s) ]
IIBA [2 Certification Exam(s) ]
IISFA [1 Certification Exam(s) ]
Intel [2 Certification Exam(s) ]
IQN [1 Certification Exam(s) ]
IRS [1 Certification Exam(s) ]
ISA [1 Certification Exam(s) ]
ISACA [4 Certification Exam(s) ]
ISC2 [6 Certification Exam(s) ]
ISEB [24 Certification Exam(s) ]
Isilon [4 Certification Exam(s) ]
ISM [6 Certification Exam(s) ]
iSQI [7 Certification Exam(s) ]
ITEC [1 Certification Exam(s) ]
Juniper [65 Certification Exam(s) ]
LEED [1 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
Liferay [1 Certification Exam(s) ]
Logical-Operations [1 Certification Exam(s) ]
Lotus [66 Certification Exam(s) ]
LPI [24 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [3 Certification Exam(s) ]
Maintenance [2 Certification Exam(s) ]
McAfee [8 Certification Exam(s) ]
McData [3 Certification Exam(s) ]
Medical [68 Certification Exam(s) ]
Microsoft [375 Certification Exam(s) ]
Mile2 [3 Certification Exam(s) ]
Military [1 Certification Exam(s) ]
Misc [1 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NBSTSA [1 Certification Exam(s) ]
NCEES [2 Certification Exam(s) ]
NCIDQ [1 Certification Exam(s) ]
NCLEX [3 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [39 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
NIELIT [1 Certification Exam(s) ]
Nokia [6 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [37 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [282 Certification Exam(s) ]
P&C [2 Certification Exam(s) ]
Palo-Alto [4 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
Pegasystems [12 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [15 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [6 Certification Exam(s) ]
PRMIA [1 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
QlikView [1 Certification Exam(s) ]
Quality-Assurance [7 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real Estate [1 Certification Exam(s) ]
Real-Estate [1 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [8 Certification Exam(s) ]
RSA [15 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [5 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [1 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [4 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [135 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trainers [3 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [6 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [33 Certification Exam(s) ]
Vmware [58 Certification Exam(s) ]
Wonderlic [2 Certification Exam(s) ]
Worldatwork [2 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]
Dropmark : http://killexams.dropmark.com/367904/12851032
Dropmark-Text : http://killexams.dropmark.com/367904/12946124
Blogspot : http://killexamsbraindump.blogspot.com/2018/01/just-memorize-these-000-600-questions.html
Wordpress : https://wp.me/p7SJ6L-2Ms
Box.net : https://app.box.com/s/im0rzrcibg54po3vixdmh1oubelvtuz7