IBM P2090-032 Q&A - in .pdf

  • Exam Code: P2090-032
  • Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
  • Updated: Aug 29, 2026
  • Q & A: 34 Questions and Answers
  • PDF Price: $49.99
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  • Exam Code: P2090-032
  • Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
  • Updated: Aug 29, 2026
  • Q & A: 34 Questions and Answers
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IBM P2090-032 Exam Syllabus Topics:

SectionWeightObjectives
IBM InfoSphere Streams20%- Real-time data processing
- Stream computing concepts
- Architecture and development tools
IBM Big Data Portfolio & Solutions15%- Comparison with competing solutions
- Overview of IBM Big Data offerings
- Integration and deployment scenarios
IBM InfoSphere BigInsights35%- Security and authentication
- Data processing and storage
- Architecture and components
  • 1. Administration tools
    • 2. BigSheets
      • 3. Text Analytics
        Big Data Concepts & Architecture30%- Characteristics of Big Data (4 Vs)
        - Hadoop ecosystem fundamentals
        • 1. YARN
          • 2. MapReduce
            • 3. HDFS
              - Big Data use cases and business value

              IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

              Question 1

              Which of the following options contain security enhancements available in InfoSphere BigInsights (Choose two) ?

              A. Kerberos authentication protocol.
              B. Secure file transfers through SFTP protocol.
              C. Trusted Context.
              D. LDAP authentication


              Question 2

              Which of the following connectivity modules is provided by InfoSphere Data Explorer?

              A. Discovery Module
              B. Language Module
              C. Navigation Module
              D. Federation Module


              Question 3

              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 small partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
              C. 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.
              D. 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.


              Question 4

              Which of the following options contains the main components of Hadoop? (Choose three)

              A. Hadoop Distributed File System (HDFS).
              B. MapReduce framework.
              C. Text Analytics.
              D. Apache Commons.


              Solutions:

              Question 1
              Answer: B,D
              Question 2
              Answer: D
              Question 3
              Answer: C
              Question 4
              Answer: A,B,D

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