IBM Big Data Fundamentals Technical Mastery Test v1 : P2090-032

  • Exam Code: P2090-032
  • Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
  • Updated: Sep 03, 2026
  • Q & A: 34 Questions and Answers

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IBM P2090-032 Exam Syllabus Topics:

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

              IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

              Question 1

              Which of the following components is NOT included in the BigInsights Basic Edition distribution?

              A. BigSheets.
              B. Hive.
              C. Pig.
              D. Hadoop Distributed File System.


              Question 2

              What does ?Big Data? represent?

              A. A database feature capable of converting pre-existing structured data into unstructured raw data.
              B. Only data stored in the BIGDATA table in any relational database.
              C. A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
              D. Large amounts of unstructured, semi-structured, and structured raw data that cannot be stored, processed or analyzed using traditional relational data warehouses.


              Question 3

              Which of the following options is CORRECT?

              A. InfoSphere BigInsights is based on the nonforked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.
              B. InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
              C. InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
              D. InfoSphere BigInsights is based on the nonforked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.


              Question 4

              The following types of indexes are available in the InfoSphere BigInsights? Large Scale indexing feature, EXCEPT:

              A. MapReduce index
              B. Partitioned index
              C. Parallel index
              D. Real-time index


              Solutions:

              Question 1
              Answer: A
              Question 2
              Answer: D
              Question 3
              Answer: A
              Question 4
              Answer: A

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