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

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

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IBM P2090-032 Exam Syllabus Topics:

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

                                IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

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

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


                                2. What is the purpose of IBM InfoSphere Streams Studio?

                                A) IBM InfoSphere Streams Studio is an Eclipse-ready tool that enables you to create, edit,
                                visualize, test, debug, and run Streams Processing
                                Language (SPL) and SPL mixed-mode applications.
                                B) IBM InfoSphere Streams Studio is an Eclipse-ready tool that enables you to create, edit,
                                visualize, test, debug, and run MapReduce jobs for
                                virtualized applications.
                                C) IBM InfoSphere Streams Studio improves performance and cuts costs by providing expert
                                advice on writing high quality queries and improving
                                database design.
                                D) IBM InfoSphere Streams Studio provides an integrated, modular environment for database
                                development and administration of DB2 databases,
                                Informix, and other non-IBM databases.


                                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 files stored in individual blocks.
                                B) 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.
                                C) 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.
                                D) 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.


                                4. Which of the following options is CORRECT?

                                A) InfoSphere Data Explorer provides powerful navigation capabilities across all the important information stored exclusively into Hadoop Distributed File System in a single view. No other file systems are supported.
                                B) InfoSphere Data Explorer is not able to mirror pre-existing security frameworks, therefore it doesn?t make use of industry-standard authentication and authorization processes already in place.
                                C) InfoSphere Data Explorer can find, extract and deliver content regardless of format or where it resides.
                                D) InfoSphere Data Explorer uses a vector-based index for unique search and indexing flexibility.


                                Solutions:

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

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