IBM 000-N32 : IBM Big Data Fundamentals Technical Mastery Test v1

  • Exam Code: 000-N32
  • Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
  • Updated: Jul 23, 2026   Q&As: 34 Questions and Answers

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IBM 000-N32 Exam Syllabus Topics:
SectionObjectives
Data Management- Data Storage and Warehousing
  • 1. Data lakes vs data warehouses
    • 2. ETL/ELT processes
      Data Processing & Analytics- Data Processing Frameworks
      • 1. Apache Spark fundamentals
        • 2. Batch vs streaming processing
          - Analytics Concepts
          • 1. Data visualization basics
            • 2. Descriptive, predictive, and prescriptive analytics
              Big Data Applications- Industry Use Cases
              • 1. Healthcare data analytics
                • 2. Finance and risk analytics
                  • 3. Retail and recommendation systems
                    Big Data Fundamentals- Core Big Data Concepts
                    • 1. Characteristics of Big Data (Volume, Velocity, Variety, Veracity)
                      • 2. Big data ecosystems overview
                        • 3. Structured vs unstructured vs semi-structured data
                          - Big Data Technologies
                          • 1. NoSQL databases (key-value, document, columnar, graph)
                            • 2. Distributed computing concepts
                              • 3. Hadoop ecosystem (HDFS, MapReduce)
                                IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

                                1. Which of the following components is a feature from InfoSphere Data Explorer's Discovery module?

                                A) Auto-commit
                                B) Auto-save
                                C) Auto-classification
                                D) Auto-correction


                                2. Which of the following options is CORRECT?

                                A) InfoSphere Streams submits queries to structured dynamic data.
                                B) InfoSphere Streams submits queries to structured static data.
                                C) InfoSphere Streams submits queries to unstructured dynamic data.
                                D) InfoSphere Streams submits dynamic data to pre-existing queries.


                                3. Which of the following tools can be used to configure the InfoSphere Data Explorer environment (choose two) ?

                                A) InfoSphere Data Explorer?s web-based interface
                                B) Data Studio Web Console
                                C) Data Explorer Virtual Desktop
                                D) REST/SOAP APIs


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

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


                                Solutions:

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

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