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IBM P2090-038 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| IBM InfoSphere BigInsights Architecture | - BigInsights system components and deployment models - Cluster configuration and management |
| Data Processing and Analytics | - Big SQL and query processing - Text analytics and advanced analytics capabilities - MapReduce processing model |
| Big Data and Hadoop Fundamentals | - HDFS architecture and data storage principles - Hadoop ecosystem components |
| Data Ingestion and Integration | - Integration with external data sources - Data loading techniques |
| Security and Administration | - User authentication and authorization - Cluster monitoring and maintenance |
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
Question 1
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 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.
C. InfoSphere BigInsights is offered in different editions: Basic, Limited Developer, and Enterprise.
D. InfoSphere BigInsights facilitates the installation, integration, and monitoring of Hadoop systems.
Question 2
Which of the following InfoSphere Biglnsights editions includes the Adaptive MapReduce feature?
A. InfoSphere Biglnsights Advanced Enterprise Edition.
B. InfoSphere Biglnsights Extended Developer Edition.
C. InfoSphere Biglnsights Express Edition.
D. InfoSphere Biglnsights Enterprise Edition.
Question 3
Which of the following integrated development environment (IDE) can be used to develop programs to be used with InfoSphere BigInsights?
A. InfoSphere Streams Studio
B. Eclipse with InfoSphere BigInsights plug-in.
C. InfoSphere Data Explorer.
D. IBM Data Studio with InfoSphere Data Explorer plug-in.
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 structured data in sequence, with fault-tolerance.
B. MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.
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 execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.
Solutions:
| Question 1 Answer: C | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: C |




