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C2090-102 - IBM Big Data Architect - Dump Information

Vendor : IBM
Exam Code : C2090-102
Exam Name : IBM Big Data Architect
Questions and Answers : 110 Q & A
Updated On : September 22, 2017
PDF Download Mirror : C2090-102 Dump
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C2090-102 Questions and Answers

C2090-102 IBM IBM Big Data Architect http://killexams.com/pass4sure/exam-detail/C2090-102 DEMO Find some pages taken from full version Following pages are for demo purpose only. Demo pages are randomly taken from full version. Full version can be different from the demo version. You can request the updated Demo by contacting support@killexams.com. For Details about Full version Click http://killexams.com/pass4sure/exam-detail/C2090-102 high volume incoming live data with low latency in real time. Which of the following would you suggest? A. SPSS Modeler with InfoSphere Streams B. Info Sphere DataStage with InfoSphere Streams C. Hive with MapReduce D. Cassandra with YARN Answer: B QUESTION: 101 Which of the following statements regarding Big R is TRUE? A. The Big R API is completely identical to the R API B. Big R implements an interpreted computer language C. Big R users cannot access Big R capabilities from the standard RStudio client as RStudio is not Hadoopenabled D. Big R utilizes the big SQL query engine for processing Answer: D References: https://www.ibm.com/support/knowledgecenter/SSPT3X_3.0.0/com.ibm.swg.im.i nfosphere. biginsights.bigr.doc/ doc/intro.html QUESTION: 102 Which of the following approaches can an organization take to solve the impact on the performance and capacity originated by the variety of data types? A. Define a data catalog in a traditional data warehouse B. Create different solutions to handle every kind of data C. Store a wide range of data formats on the same platform D. Define a comprehensive taxonomy and constantly review Answer: D Reference: http://www.redbooks.ibm.com/redpapers/pdfs/redp5070.pdf Page: 15 QUESTION: 103 Company A is searching for a browser-based visualization tool to perform analysis on vast amounts of data in any structure. They want to execute operations such as pivot, slice and dice, among others. Which of the following would meet these requirements? A. Streams B. BigSheets C. Aginity Workbench D. Watson Explorer Answer: B References: http://www.dotgroup.co.uk/wp-content/uploads/2014/11/Harness-the-Power-of-Big -Data- The-IBM-Big-DataPlatform.pdf Page: 132 QUESTION: 104 A financial company stores all enterprise data for five years in their Teradata data warehouse that costs them expensive storage. The company started an initiative to move historical data to a Hadoop environment and uses federation method to access both sets of data. What would be the IBM Big Data value proposition for this use case? A. IBM Logical Data Warehouse and IBM Big SQL B. Enterprise Data Warehouse C. Pure Data for Analytics D. InfoSphere Information Server Answer: A QUESTION: 105 Which of the following statements is TRUE regarding Cloud deployment models? A. Performance and scalability requirements are a critical factor for deciding between Platform as a Serviceand Infrastructure as a Service deployment models B. In a platform as a Service offering, the customer has root access to the servers C. Applications with extremely high transactions volumes are good candidates for Platform as a Service D. In an infrastructure as a service deployment, the cloud provider provides security patching, monitoring andfail over capabilities Answer: A QUESTION: 106 Company K is designing their Big Data system. In their enterprise, they anticipate every 9 months there will be a big spike of new data on the order of multiple TB. Their company policy also dictates that data older than one year will be archived with a major clean up every 5 years. Cost is also a big issue. Which of the following provides the best design for these requirements? A. Estimate the peak volume over a 5 year period and set up a Hadoop system with commodity HW and storage to accommodate that volume B. Estimate the peak volume over a 3 year period and set up a Hadoop system with NAS to accommodate the expected volume C. Use Cloud elasticity capabilities to handle the peak and valley data volume D. Use SAN storage with compression to handle the peak and valley data volume Answer: A QUESTION: 107 You are designing storage for a new Hadoop cluster. Which of the following statements is TRUE regarding the usage of SAN or NAS? A. SAN or NAS should not be used to set up HDFS B. SAN or NAS must be used, if available, to provide backup capabilities C. SAN or NAS can be used to support retention policies D. SAN or NAS cannot be used if your Hadoop cluster spans 2 sites Answer: A References: http:// www-01.ibm.com/software/data/infosphere/hadoop/hdfs/ QUESTION: 108 Which of the following statements is TRUE about BigSheets? A. It is a tool that enables line-of-business users to harness the power of Hadoop using a familiar spreadsheet interface B. I t is a browser-based visualization and analysis tool designed to help programmers work with Big Data C. It is a component of Pure Data for Analytics D. It is a browser-based visualization and analysis tool included in Streams Answer: C Reference: http://www-01.ibm.com/software/data/puredata/analytics/ QUESTION: 109 Which of the following statements is true about DB2 BLU? A. To move a table from row based into a BLU columnar format you have to take a back up and restore it to a BLU table. B. To move a table from row based into a BLU columnar format you need to take it offline and do a one time convert into a BLU table. C. To support mixed workload it is necessary to create a shadow copy of the relevant tables. D. To support mixed workload it is necessary to create a shadow copy of the database populated with relevant BLU tables. Answer: B Reference: https://www.ibm.com/developerworks/library/dm-1406convert-table-db2105/ QUESTION: 110 Which one of the following statements about Big SQL is NOT TRUE? A. BIG SQL supports TueryinJ data Eut doesn¶t support updates and deletes B. BIG SQL is ANSI 2011 Compliant C. BIG SQL is supported to work with Cloudera D. BIG SQL supports Fluid Query Answer: A Reference: http://www.ibm.com/developerworks/library/bd-bigsql/ For More exams visit http://killexams.com Kill your exam at First Attempt....Guaranteed!

IBM C2090-102 Exam (IBM Big Data Architect) Detailed Information

C2090-102 Test Information / Examination Information


Number of questions : 55
Time allowed in minutes: 90
Required passing score : 60%
Languages : English


C2090-102 Objectives


Test C2090-102: IBM Big Data Architect

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  • Overview- selected tab,
  • Objectives
  • Test preparation
  • Sample / Assessment Test
  • This test consists of 5  sections containing a total of 55 multiple-choice questions. The percentages after each section title reflect the approximate distribution of the total question set across the sections.

    Requirements (16%)

    1. Define the input data structure
    2. Define the outputs
    3. Define the security requirements
    4. Define the requirements for replacing and/or merging with existing business solutions
    5. Define the solution to meet the customer's SLA
    6. Define the network requirements based on the customer's requirements

    Use Cases (46%)

    1. Determine when a cloud based solution is more appropriate vs. in-house (and migration plans from one to the other)
    2. Demonstrate why Cloudant would be an applicable technology for a particular use case
    3. Demonstrate why SQL or NoSQL would be an applicable technology for a particular use case
    4. Demonstrate why Open Data Platform would be an applicable technology for a particular use case
    5. Demonstrate why BigInsights would be an applicable technology for a particular use case
    6. Demonstrate why BigSQL would be an applicable technology for a particular use case
    7. Demonstrate why Hadoop would be an applicable technology for a particular use case
    8. Demonstrate why BigR and SPSS would be an applicable technology for a particular use case
    9. Demonstrate why BigSheets would be an applicable technology for a particular use case
    10. Demonstrate why Streams would be an applicable technology for a particular use case
    11. Demonstrate why Netezza would be an applicable technology for a particular use case
    12. Demonstrate why DB2 BLU would be an applicable technology for a particular use case
    13. Demonstrate why GPFS/HPFS would be an applicable technology for a particular use case
    14. Demonstrate why Spark would be an applicable technology for a particular use case
    15. Demonstrate why YARN would be an applicable technology for a particular use case

    Applying Technologies (16%)

    1. Define the necessary technology to ensure horizontal and vertical scalability
    2. Determine data storage requirements based on data volumes
    3. Design a data model and data flow model that will meet the business requirements
    4. Define the appropriate Big Data technology for a given customer requirement (e.g. Hive/HBase or Cloudant)
    5. Define appropriate storage format and compression for given customer requirement

    Recoverability (11%)

    1. Define the potential need for high availability
    2. Define the potential disaster recovery requirements
    3. Define the technical requirements for data retention
    4. Define the technical requirements for data replication
    5. Define the technical requirements for preventing data loss

    Infrastructure (11%)

    1. Define the hardware and software infrastructure requirements
    2. Design the integration of the required hardware and software components
    3. Design the connectors / interfaces / API's between the Big Data solution and the existing systems

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