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IBM P2090-038 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Big Data and Hadoop Fundamentals | - Hadoop ecosystem concepts
|
| Security and Performance | - Security management
|
| Data Processing and Analytics | - Analytics tools
|
| Installation and Configuration | - System setup
|
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
Question 1
Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?
A. Adaptive MapReduce.
B. BigSheets.
C. General Parallel File System.
D. Text Analytics.
Question 2
Which of the following options contain security enhancements available in InfoSphere BigInsights (choose two) ?
A. Trusted Context.
B. LDAP authentication
C. Kerberos authentication protocol.
D. Secure file transfers through SFTP protocol.
Question 3
Which of the following options is CORRECT?
A. InfoSphere BigInsights is based on the non forked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.
B. InfoSphere BigInsights is based on the non forked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.
C. InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
D. InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
Question 4
Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?
A. MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
B. MapReduce jobs are used to process structured data in sequence, with fault-tolerance.
C. MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.
D. MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.
Solutions:
| Question 1 Answer: D | Question 2 Answer: B,D | Question 3 Answer: A | Question 4 Answer: A |
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