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IBM P2090-038 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Cluster Installation and Configuration | - Cluster setup and configuration steps - Installation planning and prerequisites - System tuning and optimization |
| IBM BigInsights Overview | - Hadoop ecosystem integration concepts - Core components and services - BigInsights architecture and ecosystem |
| Data Processing and Analytics | - Analytical tool usage and reporting - Big SQL and query processing - Data ingestion and processing workflows |
| Development and Programming | - Scripting and automation in Hadoop environment - Developing applications using BigInsights tools - Integration with external systems |
| Administration and Maintenance | - Security and access control - Monitoring and performance management - Troubleshooting and issue resolution |
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
Question 1
Which of the following options DOES NOT describe an advantage of InfoSphere BigInsights on top of regular standalone Hadoop distributions?
A. Support to HiveQL and PigLatin languages.
B. BigSheets
C. Adaptive MapReduce
D. Integrated install
Question 2
The analytic capabilities that come built-in with the Big Data platform include:
A. All of the above
B. Financial
C. Acoustic
D. Image and Video
Question 3
Which of the following options is NOT CORRECT?
A. InfoSphere BigInsights offers great value to organizations that are dealing with Internet-scale volumes (peta bytes) of data that exists in many different formats.
B. InfoSphere BigInsights is offered in different editions: Basic, Limited Developer, and Enterprise.
C. InfoSphere BigInsights helps organizations quickly build and deploy custom analytics and workloads to capture insight from big data that can then be integrated into existing database, data warehouse, and business intelligence infrastructures.
D. InfoSphere BigInsights facilitates the installation, integration, and monitoring of Hadoop systems.
Question 4
What is the difference between Hadoop MapReduce and IBM Adaptive MapReduce feature available in InfoSphere BigInsights?
A. Hadoop MapReduce is optimized for operating on large files, while IBM Adaptive MapReduce is configurable to operate optimized on large or small files or splits
B. Hadoop MapReduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
C. Hadoop Map Reduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on largepartitioned files.
D. Hadoop MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM? Adaptive MapReduceis optimized for operating on large partitioned files.
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: A |



