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IBM P2090-032 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: IBM Big Data Solutions | - IBM InfoSphere BigInsights overview - Integration with IBM analytics and information management products - IBM InfoSphere Streams overview |
| Topic 2: Analytics and Business Applications | - Business intelligence and decision support scenarios - Predictive analytics fundamentals - Real-time and streaming analytics |
| Topic 3: Big Data Architecture | - Data processing and analytics pipeline - Data acquisition and ingestion - Distributed storage concepts |
| Topic 4: Big Data Fundamentals | - Big Data challenges and opportunities - Definition and characteristics of Big Data - Business drivers and value of Big Data |
| Topic 5: Core Big Data Technologies | - Hadoop ecosystem fundamentals - NoSQL database concepts - MapReduce processing model |
IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:
Which of the following toolkits is NOT provided by InfoSphere Streams?
- A. Intranet toolkit.
- B. Standard toolkit.
- C. Database toolkit.
- D. Finance toolkit
Correct Answer: A 🗳️
Which of the following options contain security enhancements available in InfoSphere BigInsights (Choose two) ?
- A. LDAP authentication
- B. Secure file transfers through SFTP protocol.
- C. Kerberos authentication protocol.
- D. Trusted Context.
Correct Answer: A,B 🗳️
What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce feature available in InfoSphere BigInsights?
- A. Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
- B. Hadoop?s MapReduce is optimized for operating on large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.
- C. Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
- D. Hadoop?s MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
Correct Answer: B 🗳️
What are the ?4 Vs? that characterize IBM?s Big Data initiative?
- A. Velocity, Volatility, Variety, Veracity
- B. Variety, Versions, Velocity, Volatility
- C. Veracity, Variety, Volume, Velocity
- D. Volume, Volatility, Velocity, Variety
Correct Answer: C 🗳️


