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IBM P2090-038 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| IBM BigInsights Overview | - Hadoop ecosystem integration concepts - Core components and services - BigInsights architecture and ecosystem |
| Administration and Maintenance | - Security and access control - Troubleshooting and issue resolution - Monitoring and performance management |
| Development and Programming | - Scripting and automation in Hadoop environment - Integration with external systems - Developing applications using BigInsights tools |
| Data Processing and Analytics | - Data ingestion and processing workflows - Big SQL and query processing - Analytical tool usage and reporting |
| Cluster Installation and Configuration | - Cluster setup and configuration steps - System tuning and optimization - Installation planning and prerequisites |
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?
- A. MapReduce jobs are used to process structured data in sequence, with fault-tolerance.
- B. 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.
- C. MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
- D. MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.
What is the difference between Hadoop MapReduce and IBM Adaptive MapReduce feature available in InfoSphere BigInsights?
- A. 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.
- B. 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
- C. 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.
- D. Hadoop Map Reduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on largepartitioned files.
Which of the following options contains the main components of Hadoop? (Choose three)
- A. Hadoop Distributed File System (HDFS).
- B. Hadoop Common.
- C. Text Analytics.
- D. MapReduce framework.
Which of the following options DOES NOT describe an advantage of InfoSphere BigInsights on top of regular standalone Hadoop distributions?
- A. BigSheets
- B. Adaptive MapReduce
- C. Support to HiveQL and PigLatin languages.
- D. Integrated install
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