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IBM Informix 11.70 Fundamentals

IBM licensed Database affiliate | killexams.com Real Questions and Pass4sure dumps

This vendor-certain Certification is offered with the aid of:IBM CorporationArmonk, the big apple USAPhone: 914-499-1900Email: This e-mail address is being blanketed from spambots. You want JavaScript enabled to view it.

ability level: groundwork                          status: lively

not pricey: $200 (shortest song)               

summary:Entry-degree certification for individuals who work with IBM database products. There are two tracks to make a choice from: Informix Dynamic Server (11.50) Fundamentals, and Informix (eleven.70) Fundamentals.

preliminary necessities:You should circulate the linked exam for your chosen music ($200). each checks have a 90 minute cut-off date and include 60 questions. practicing is available however not required.

carrying on with requirements:None precise

Pay Chart:

See all Ibm Certifications

supplier's page for this certification


Managing Time sequence records with Informix | killexams.com Real Questions and Pass4sure dumps

Jul 7, 2011

Vaibhav Dantale

Time collection information is a series of statistics points customarily measured at successive instances and might be spaced at uniform time intervals.  Time-stamped records may also be analyzed to extract significant data or different features of the facts.  it may even be used to forecast future events based on known previous pursuits.  Time sequence facts enables functions comparable to economic forecasting, census evaluation and forecasting, fleet management, inventory market evaluation, and sensible energy metering.

because it is time-stamped, time collection data has a distinct inner constitution that differs from relational facts.  moreover, many functions such as smart metering store facts at usual intervals that require large storage ability.  For these causes, it is not ample to control time collection assistance using the average relational approach of storing one row for each time collection entry.  Doing so creates efficiency challenges as the information volumes grow exponentially.  Some relational databases present solutions to tackle the efficiency problem but compromise on storage.  Some non-relational options address the storage and efficiency issues but suffer from boundaries equivalent to lack of generality, extendibility, and interoperability.

hence, efficient time series records management requires an answer that reduces storage, ensures excessive efficiency, is effortless to lengthen, and interoperates with other relational counsel and different items.  IBM's Informix TimeSeries characteristic gives an answer to those complications with leap forward expertise.

Time series know-how has been a confirmed technology with Informix for 15 years, and with eleven.70,  it comes with the server freed from can charge. at the beginning, the time sequence technology changed into used in the economic markets (for time stamped facts akin to inventory ticks). Now, with the modernization of power and utilities business, with superior metering infrastructures (AMIs), and sensible grid initiatives, the time series means is discovering a distinct opportunity to manipulate the meter or sensor records for utility organizations.

The Informix TimeSeries function is a combination of a new time sequence information classification and a huge set of in-build analytics.  It reduces the storage requirement by way of greater than 50%, improves efficiency by means of orders of magnitude, and improves software development productivity when in comparison to a relational method.  because the time sequence statistics class is a native information type in Informix, administrative overhead and getting to know effort is minimal. Informix TimeSeries also interoperates neatly with other relational components and other products akin to Cognos, Streams, and Optim.

most important Challenges With a Relational strategy

The average relational method shops one row for anytime sequence entry resulting in the storage of redundant guidance.  as an example, smart meter functions could need to compile meter readings each 15 minutes for thousands and thousands of meters.  In a simply relational system a meter_id and timestamp could be saved with each and every meter record.  To improve retrieval time a composite index on the meter_id column and the timestamp column (table 1.1) can be required.  This method results in huge quantities of statistics that adds administrative overhead and efficiency challenges, possible requiring extra hardware investments.  These challenges regularly become essential highway blocks for further enhancements in solution and capabilities.

table 1.1: representation of information kept in usual RDBMS approach

Meter_id

Timestamp

present

Voltage

Resistance

1

2010-12-01 01:00:00.00000

four

160

40

1

2010-12-01 01:00:10.00000

4.5

a hundred and fifty five

35

1

2010-12-01 01:00:20.00000

5

one hundred sixty five

33

.

.

.

.

.

.

.

.

2

2010-12-01 01:00:00.00000

four

175

44

2

2010-12-01 01:00:10.00000

four.5

one hundred sixty

35

.

.

.

.

.

.

.

.

as a result of the challenges of managing and processing large data the frequency that facts is collected may deserve to be much less familiar than preferred, for instance, each half hour, with the intention to reduce the amount of records that's saved.

an additional foremost problem is to function time-primarily based analytical operations on relational records. many of the time, an utility developer have to use complex and proprietary application logic to function time-based mostly analysis.  reasonably regularly these functions are not purchasable within the native SQL language that almost all databases communicate.

The Informix method to Time series data

 IBM Informix presents a new standpoint with the implementation of time series as a native facts class.

The Informix TimeSeries facts class makes use of a single row for each and every tag/tick identifier, corresponding to a meter, and appends subsequent readings from the identical meter to that row, as proven in desk 1.2. The statistics is ordered physically on disk.  therefore, the number of rows in a TimeSeries desk is a similar because the number of meters being monitored.  No index is required on the information given that it is kept in sorted order.   An index may well be created on the meter_id column or every other non-TimeSeries column.  because of this, the storage requirement is decreased via well-nigh 50-eighty% in comparison to a standard relational approach, and efficiency is better by means of an order of magnitude.  here's due to now not having to create an index on the records, no longer duplicating the Meter_id on every row, and other efficiencies.

desk 1.2: illustration of records stored in an Informix TimeSeries column

Meter_id

TimeSeries column

1

[(4,160,40), (4.5,155,35)....]

2

[(4,175,44), (4.5,160,35)..]

..

..

wise metering is an illustration where records is saved with at an everyday mounted frequency and hence it is regarded to be a regular time collection. but there are definite options the place they deserve to manipulate information for arbitrary points in time, reminiscent of event records. Informix helps irregular time sequence for such situations.  Informix supports irregular time collection just as efficiently because it does general time sequence.

common time series use the concept of offset; they have got a mapping between the time aspect linked to a part and its place relative to the start of the time series. individual timestamps are not saved in ordinary time sequence; in its place, they are computed from the aspect's offset.  because of this Informix is able to retailer eleven bytes per list compared to relational storage.

How does Informix shop time sequence suggestions? How is it accessed? How is the frequency of data collection described?  How is incoming statistics validated?

To get the reply for all these questions, let's seem on the Informix time series objects.

Container: A container is a space created to dangle time collection statistics.  The facts is stored in the container clustered by way of identification (as an example meter identity) and the sorted with the aid of time.  diverse time-collection may also be stored in a single container.  A container is created with the aid of executing an SQL command.

Calendar: The calendar defines the frequency of statistics collection and instances when information should still or may still no longer be amassed.  It allows for diverse combos of frequencies.  as an instance, in case you wish to compile statistics day by day within the week accept Saturday and Sunday, you define the calendar as "5 on, 2 off, day".  The incoming information is validated instantly in opposition t the described calendar.

SQL Routines and APIs: Informix offers over 80 time sequence-particular SQL routines to operate SQL operations.  It also provides a collection of C APIs and JAVA APIs to boost your personal analytics.  The TimeSeries SQL routines offered operate operations equivalent to developing, aggregating, relocating averages, and arithmetic features on one or greater time series in addition to add facts to or change statistics in a time series

virtual desk Interface: A view of the time sequence records is additionally given that makes time sequence information seem like in a normal relational schema.  This view is called the digital table Interface (VTI) and suggests time sequence data in relational layout.  This view makes it possible for normal SQL operations to be carried out on the underlying time collection information.  be aware that a VTI desk is just a view and doesn't really shop any records at once.  digital tables will also be used in interoperability with other items.

TimeSeries table

Meter_id

TimeSeries column

1

[(4,160,40), (4.5,155,35)....]

2

[(4,175,44), (4.5,160,35)..]

..

..

digital desk

Meter_id

Timestamp

current

Voltage

Resistance

1

2010-12-01 01:00:00.00000

four

a hundred and sixty

40

1

2010-12-01 01:00:10.00000

four.5

a hundred and fifty five

35

1

2010-12-01 01:00:20.00000

5

a hundred sixty five

33

.

.

.

.

.

.

.

.

2

2010-12-01 01:00:00.00000

four

one hundred seventy five

forty four

2

2010-12-01 01:00:10.00000

4.5

a hundred and sixty

35

.

.

.

.

.

.

.

.

 benefits of Informix

less Storage: as a result of the small index dimension and the specific approach of storing the timestamp value, the storage requirement is significantly reduced. Storage reduction may also be up to 80% in the case of common time sequence and up to 30% in the case of irregular time series.

more desirable efficiency: because the index size is small and the statistics is ordered physically on disk, an awful lot less I/O is required to opt for facts. This outcomes in extremely excessive performance, in both uploading and retrieving records.  additionally, considering much less disk house is required, administration initiatives like backing up and purging records are quicker.

This desk illustrates the effects of an actual customer proof-of-thought comparing Informix against a further standard database:

different Database

Informix

Load time for 1,000,000 meters

7 hours

18 minutes

Time to run required experiences

2 - 7 hours

25 sec to 6 min

Storage required for 1 Million Meters

1.three TB

350 GB

total can charge of ownership: TCO is a whole lot reduce considering the fact that there is no further administration, no additional license cost, and no long gaining knowledge of curve.  On the opposite, the effects demonstrate massive disk house saving and intensely high efficiency.

sooner utility construction: builders can count on current developed-in SQL routines, C APIs and JAVA APIs for correct and faster building.

Interoperability: The Informix TimeSeries facts type, being a native facts category, gives interoperability with database elements as well as different items with no added tweaking.

abstract

The Informix time collection method is a breakthrough technology for managing and inspecting time collection facts, offering diverse advantages of big mark downs on disk storage and extremely excessive performance.  The developed-in SQL routines and extensions of C APIs and JAVA APIs enable users to increase and contain their personal software common sense into the database engine and advance quicker.  because it is convenient to learn and use, Informix is being largely permitted through the software community as assembly time collection statistics administration necessities, in comparison with other database and non-RDBMS solutions.


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From the creator of 

©IBM company 2012.

IBM, the IBM brand, ibm.com, Cognos, DB2, Informix, Lotus, Rational, SmartCloud, system x, Tivoli and WebSphere are emblems or registered emblems of international business Machines supplier in the u.s., other countries, or each. If these and other IBM trademarked phrases are marked on their first prevalence during this counsel with the appropriate symbol (® or ™), these symbols indicate U.S. registered or ordinary legislations trademarks owned by IBM at the time this suggestions turned into published. Such logos may additionally also be registered or ordinary legislation trademarks in other international locations. A current record of IBM trademarks is accessible on the internet at "Copyright and trademark suggestions" at http://www.ibm.com/criminal/copytrade.shtml.

Linux is a registered trademark of Linus Torvalds in the united states, other international locations, or both.

Microsoft and windows are trademarks of Microsoft service provider within the united states, different countries, or both.

different company, product, and service names could be emblems or carrier marks of others.

References during this booklet to IBM products or services don't indicate that IBM intends to make them accessible in all countries wherein IBM operates.


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Informix 11.70 Fundamentals

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IBM Certified Database Associate | killexams.com real questions and Pass4sure dumps

This vendor-specific Certification is Offered By:IBM CorporationArmonk, NY USAPhone: 914-499-1900Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Skill Level: Foundation                          Status: Active

Low Cost: $200 (shortest track)               

Summary:Entry-level certification for individuals who work with IBM database products. There are two tracks to choose from: Informix Dynamic Server (11.50) Fundamentals, and Informix (11.70) Fundamentals.

Initial Requirements:You must pass the associated exam for your chosen track ($200). Both exams have a 90 minute time limit and consist of 60 questions. Training is available but not required.

Continuing Requirements:None specified

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Altova Introduces Version 2014 of Its Developer Tools and Server Software | killexams.com real questions and Pass4sure dumps

BEVERLY, MA--(Marketwired - Oct 29, 2013) - Altova® (http://www.altova.com), creator of XMLSpy®, the industry leading XML editor, today announced the release of Version 2014 of its MissionKit® desktop developer tools and server software products. MissionKit 2014 products now include integration with the lightning fast validation and processing capabilities of RaptorXML®, support for Schema 1.1, XPath/XSLT/XQuery 3.0, support for new databases and much more. New features in Altova server products include caching options in FlowForce® Server and increased performance powered by RaptorXML across the server product line.

"We are so excited to be able to extend the hyper-performance delivered by the unparalleled RaptorXML Server to developers working in their desktop tools. This functionality, along with robust support for the very latest standards, from XML Schema 1.1 to XPath 3.0 and XSLT 3.0, provides their customers the benefits of increased performance alongside cutting-edge technology support," said Alexander Falk, President and CEO for Altova. "This, coupled with the ability to automate essential processes via their high-performance server products, gives their customers a distinct advantage when building and deploying applications."

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Support for XPath in XMLSpy 2014 has been updated to include the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful new functionality such as: dynamic function cells, inline function expressions, and support for union types to name just a few. Full support for new functions and operators added in XPath 3.0 is available through intelligent XPath auto-completion in Text and Grid Views, as well as in the XPath Analyzer window.

Support for editing, debugging, and profiling XSLT is now available for XSLT 3.0 as well as previous versions. Please note that a subset of XSLT 3.0 is supported since the standard is still a working draft that continues to evolve. XSLT 3.0 support conforms to the W3C XSLT 3.0 Working Draft of July 10, 2012 and the XPath 3.0 Candidate Recommendation. However, support in XMLSpy now gives developers the ability to start working with this new version immediately.

XSLT 3.0 takes advantage of the new features added in XPath 3.0. In addition, a major feature enabled by the new version is the new xsl:try / xsl:catch construct, which can be used to trap and recover from dynamic errors. Other enhancements in XSLT 3.0 include support for higher order functions and partial functions.

Story continues

As with XSLT and XPath, XMLSpy support for XQuery now also includes a subset of version 3.0. Developers will now have the option to edit, debug, and profile XQuery 3.0 with helpful syntax coloring, bracket matching, XPath auto-completion, and other intelligent editing features.

XQuery 3.0 is, of course, an extension of XPath and therefore benefits from the new functions and operators added in XPath 3.0, such as a new string concatenation operator, map operator, math functions, sequence processing, and more -- all of which are available in the context sensitive entry helper windows and drop down menus in the XMLSpy 2014 XQuery editor.

New Database Support:

Database-enabled MissionKit products including XMLSpy, MapForce, StyleVision®, DatabaseSpy®, UModel®, and DiffDog®, now include complete support for newer versions of previously supported databases, as well as support for new database vendors:

  • Informix® 11.70
  • PostgreSQL versions 9.0.10/9.1.6/9.2.1
  • MySQL® 5.5.28
  • IBM DB2® versions 9.5/9.7/10.1
  • Microsoft® SQL Server® 2012
  • Sybase® ASE (Adaptive Server Enterprise) 15/15.7
  • Microsoft Access™ 2010/2013
  • New in Altova Server Software 2014:

    Introduced earlier in 2013, Altova's new line of cross-platform server software products includes FlowForce Server, MapForce Server, StyleVision Server, and RaptorXML Server. FlowForce Server provides comprehensive management, job scheduling, and security options for the automation of essential business processes, while MapForce Server and StyleVision Server offer high-speed automation for projects designed using familiar Altova MissionKit developer tools. RaptorXML Server is the third-generation, hyper-fast validation and processing engine for XML and XBRL.

    Starting with Version 2014, Altova server products are powered by RaptorXML for faster, more efficient processing. In addition, FlowForce Server now supports results caching for jobs that require a long time to process, for instance when a job requires complex database queries or needs to make its own Web service data requests. FlowForce Server administrators can now schedule execution of a time-consuming job and cache the results to prevent these delays. The cached data can then be provided when any user executes the job as a service, delivering instant results. A job that generates a customized sales report for the previous day would be a good application for caching.

    These and many more features are available in the 2014 Version of MissionKit desktop developer tools and Server software. For a complete list of new features, supported standards, and trial downloads please visit: http://www.altova.com/whatsnew.html

    About Altova Altova® is a software company specializing in tools to assist developers with data management, software and application development, and data integration. The creator of XMLSpy® and other award-winning XML, SQL and UML tools, Altova is a key player in the software tools industry and the leader in XML solution development tools. Altova focuses on its customers' needs by offering a product line that fulfills a broad spectrum of requirements for software development teams. With over 4.5 million users worldwide, including 91% of Fortune 500 organizations, Altova is proud to serve clients from one-person shops to the world's largest organizations. Altova is committed to delivering standards-based, platform-independent solutions that are powerful, affordable and easy-to-use. Founded in 1992, Altova is headquartered in Beverly, Massachusetts and Vienna, Austria. Visit Altova on the Web at: http://www.altova.com.

    Altova, MissionKit, XMLSpy, MapForce, FlowForce, RaptorXML, StyleVision, UModel, DatabaseSpy, DiffDog, SchemaAgent, Authentic, and MetaTeam are trademarks and/or registered trademarks of Altova GmbH in the United States and/or other countries. The names of and reference to other companies and products mentioned herein may be the trademarks of their respective owners.


    Altova Introduces Version 2014 of Its Developer Tools and Server Software | killexams.com real questions and Pass4sure dumps

    BEVERLY, MA--(Marketwired - Oct 29, 2013) - Altova® (http://www.altova.com), creator of XMLSpy®, the industry leading XML editor, today announced the release of Version 2014 of its MissionKit® desktop developer tools and server software products. MissionKit 2014 products now include integration with the lightning fast validation and processing capabilities of RaptorXML®, support for Schema 1.1, XPath/XSLT/XQuery 3.0, support for new databases and much more. New features in Altova server products include caching options in FlowForce® Server and increased performance powered by RaptorXML across the server product line.

    "We are so excited to be able to extend the hyper-performance delivered by the unparalleled RaptorXML Server to developers working in their desktop tools. This functionality, along with robust support for the very latest standards, from XML Schema 1.1 to XPath 3.0 and XSLT 3.0, provides their customers the benefits of increased performance alongside cutting-edge technology support," said Alexander Falk, President and CEO for Altova. "This, coupled with the ability to automate essential processes via their high-performance server products, gives their customers a distinct advantage when building and deploying applications."

    A few of the new features available in Altova MissionKit 2014 include:

    Integration of RaptorXML: Announced earlier this year, RaptorXML Server is high-performance server software capable of validating and processing XML at lightning speeds -- while delivering the strictest possible standards conformance. Now the same hyper-performance engine that powers RaptorXML Server is fully integrated in several Altova MissionKit tools, including XMLSpy, MapForce®, and SchemaAgent®, delivering lightning fast validation and processing of XML, XSLT, XQuery, XBRL, and more. The third-generation validation and processing engine from Altova, RaptorXML was built from the ground up to support the very latest of all relevant XML standards, including XML Schema 1.1, XSLT 3.0, XPath 3.0, XBRL 2.1, and myriad others.

    Support for Schema 1.1: XMLSpy 2014 includes important support for XML Schema 1.1 validation and editing. The latest version of the XML Schema standard, 1.1 adds new features aimed at making schemas more flexible and adaptable to business situations, such as assertions, conditional types, open content, and more.

    All aspects of XML Schema 1.1 are supported in XMLSpy's graphical XML Schema editor and are available in entry helpers and tabs. As always, the graphical editing paradigm of the schema editor makes it easy to understand and implement these new features.

    Support for XML Schema 1.1 is also provided in SchemaAgent 2014, allowing users to visualize and manage schema relationships via its graphical interface. This is also an advantage when connecting to SchemaAgent in XMLSpy.

    Coinciding with XML Schema 1.1 support, Altova has also released a free, online XML Schema 1.1 technology training course, which covers the fundamentals of the XML Schema language as well as the changes introduced in XML Schema 1.1.

    Support for XPath 3.0, XSLT 3.0, and XQuery 3.0:

    Support for XPath in XMLSpy 2014 has been updated to include the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful new functionality such as: dynamic function cells, inline function expressions, and support for union types to name just a few. Full support for new functions and operators added in XPath 3.0 is available through intelligent XPath auto-completion in Text and Grid Views, as well as in the XPath Analyzer window.

    Support for editing, debugging, and profiling XSLT is now available for XSLT 3.0 as well as previous versions. Please note that a subset of XSLT 3.0 is supported since the standard is still a working draft that continues to evolve. XSLT 3.0 support conforms to the W3C XSLT 3.0 Working Draft of July 10, 2012 and the XPath 3.0 Candidate Recommendation. However, support in XMLSpy now gives developers the ability to start working with this new version immediately.

    XSLT 3.0 takes advantage of the new features added in XPath 3.0. In addition, a major feature enabled by the new version is the new xsl:try / xsl:catch construct, which can be used to trap and recover from dynamic errors. Other enhancements in XSLT 3.0 include support for higher order functions and partial functions.

    As with XSLT and XPath, XMLSpy support for XQuery now also includes a subset of version 3.0. Developers will now have the option to edit, debug, and profile XQuery 3.0 with helpful syntax coloring, bracket matching, XPath auto-completion, and other intelligent editing features.

    XQuery 3.0 is, of course, an extension of XPath and therefore benefits from the new functions and operators added in XPath 3.0, such as a new string concatenation operator, map operator, math functions, sequence processing, and more -- all of which are available in the context sensitive entry helper windows and drop down menus in the XMLSpy 2014 XQuery editor.

    New Database Support:

    Database-enabled MissionKit products including XMLSpy, MapForce, StyleVision®, DatabaseSpy®, UModel®, and DiffDog®, now include complete support for newer versions of previously supported databases, as well as support for new database vendors:

  • Informix® 11.70
  • PostgreSQL versions 9.0.10/9.1.6/9.2.1
  • MySQL® 5.5.28
  • IBM DB2® versions 9.5/9.7/10.1
  • Microsoft® SQL Server® 2012
  • Sybase® ASE (Adaptive Server Enterprise) 15/15.7
  • Microsoft Access™ 2010/2013
  • New in Altova Server Software 2014:

    Introduced earlier in 2013, Altova's new line of cross-platform server software products includes FlowForce Server, MapForce Server, StyleVision Server, and RaptorXML Server. FlowForce Server provides comprehensive management, job scheduling, and security options for the automation of essential business processes, while MapForce Server and StyleVision Server offer high-speed automation for projects designed using familiar Altova MissionKit developer tools. RaptorXML Server is the third-generation, hyper-fast validation and processing engine for XML and XBRL.

    Starting with Version 2014, Altova server products are powered by RaptorXML for faster, more efficient processing. In addition, FlowForce Server now supports results caching for jobs that require a long time to process, for instance when a job requires complex database queries or needs to make its own Web service data requests. FlowForce Server administrators can now schedule execution of a time-consuming job and cache the results to prevent these delays. The cached data can then be provided when any user executes the job as a service, delivering instant results. A job that generates a customized sales report for the previous day would be a good application for caching.

    These and many more features are available in the 2014 Version of MissionKit desktop developer tools and Server software. For a complete list of new features, supported standards, and trial downloads please visit: http://www.altova.com/whatsnew.html

    About Altova Altova® is a software company specializing in tools to assist developers with data management, software and application development, and data integration. The creator of XMLSpy® and other award-winning XML, SQL and UML tools, Altova is a key player in the software tools industry and the leader in XML solution development tools. Altova focuses on its customers' needs by offering a product line that fulfills a broad spectrum of requirements for software development teams. With over 4.5 million users worldwide, including 91% of Fortune 500 organizations, Altova is proud to serve clients from one-person shops to the world's largest organizations. Altova is committed to delivering standards-based, platform-independent solutions that are powerful, affordable and easy-to-use. Founded in 1992, Altova is headquartered in Beverly, Massachusetts and Vienna, Austria. Visit Altova on the Web at: http://www.altova.com.

    Altova, MissionKit, XMLSpy, MapForce, FlowForce, RaptorXML, StyleVision, UModel, DatabaseSpy, DiffDog, SchemaAgent, Authentic, and MetaTeam are trademarks and/or registered trademarks of Altova GmbH in the United States and/or other countries. The names of and reference to other companies and products mentioned herein may be the trademarks of their respective owners.

    Media relations contact:Cynthia L. NeelyPR & Marketing Communications ManagerEmail Contact978.816.1567



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