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000-N32 pdf
  • Exam Code: 000-N32
  • Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
  • Updated: Sep 08, 2026
  • Q & A: 34 Questions and Answers
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  • Exam Code: 000-N32
  • Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
  • Updated: Sep 08, 2026
  • Q & A: 34 Questions and Answers
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000-N32 Testing Engine
  • Exam Code: 000-N32
  • Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
  • Updated: Sep 08, 2026
  • Q & A: 34 Questions and Answers
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IBM 000-N32 Exam Syllabus Topics:

SectionObjectives
Topic 1: Big Data Fundamentals- Big Data Technologies
  • 1. Distributed computing concepts
    • 2. Hadoop ecosystem (HDFS, MapReduce)
      • 3. NoSQL databases (key-value, document, columnar, graph)
        - Core Big Data Concepts
        • 1. Characteristics of Big Data (Volume, Velocity, Variety, Veracity)
          • 2. Structured vs unstructured vs semi-structured data
            • 3. Big data ecosystems overview
              Topic 2: Big Data Applications- Industry Use Cases
              • 1. Retail and recommendation systems
                • 2. Healthcare data analytics
                  • 3. Finance and risk analytics
                    Topic 3: Data Processing & Analytics- Analytics Concepts
                    • 1. Descriptive, predictive, and prescriptive analytics
                      • 2. Data visualization basics
                        - Data Processing Frameworks
                        • 1. Apache Spark fundamentals
                          • 2. Batch vs streaming processing
                            Topic 4: Data Management- Data Storage and Warehousing
                            • 1. Data lakes vs data warehouses
                              • 2. ETL/ELT processes

                                IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

                                Question 1

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

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


                                Question 2

                                Which of the following options is CORRECT?

                                A. InfoSphere Streams high availability feature allows for processing elements (PEs) on failing
                                nodes to be moved and automatically restarted,
                                with communications re-routed, to a healthy node.
                                B. InfoSphere Streams optimizes its workload by aggregating an entire job into a single node.
                                C. InfoSphere Streams is only able to process traditional structured data from a variety of sources.
                                D. InfoSphere Streams does not allow you to dynamically add hosts and jobs


                                Question 3

                                Which of the following options is NOT CORRECT?

                                A. Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn?t nearly as effective as a larger set of data from which to derive analysis.
                                B. Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
                                C. Big data solutions are ideal for Online Transaction Analytical Process (OLTP) environments.
                                D. Big data solutions are ideal for analyzing not only raw structured data, but semi- structured and unstructured data from a wide variety of sources.


                                Question 4

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

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


                                Solutions:

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

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