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

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 simulator

IBM P2090-032 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. Big data ecosystems overview
          • 2. Structured vs unstructured vs semi-structured data
            • 3. Characteristics of Big Data (Volume, Velocity, Variety, Veracity)
              Topic 2: 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 3: Big Data Applications- Industry Use Cases
                      • 1. Healthcare data analytics
                        • 2. Finance and risk analytics
                          • 3. Retail and recommendation systems
                            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:

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

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


                                2. Which of the following options are CORRECT (Choose two)?

                                A) Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
                                B) InfoSphere Streams perform complex analytics on data at rest.
                                C) The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.
                                D) Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.


                                3. Which of the following options is CORRECT regarding InfoSphere Data Explorer?s annotators?

                                A) InfoSphere Data Explorer?s annotators is an add-on feature capable of handling of a variety of
                                data formats and types, including structured,
                                semi-structured and unstructured, as well as the special demands of rich media and transactional
                                data.
                                B) InfoSphere Data Explorer?s annotators allow users to save results in a private/public folder for
                                later review or sharing.
                                C) InfoSphere Data Explorer?s annotators allow users to interact with search results by providing
                                feedback about the result's value, and by
                                adding useful information and communication with other users.
                                D) InfoSphere Data Explorer?s annotators allow users to create groups of search results.


                                4. What is HADOOP?

                                A) Hadoop is a universal Big Data programming language used to query large datasets.
                                B) Hadoop is a single-node file system used as a base for storing traditional formatted data.
                                C) Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
                                D) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.


                                Solutions:

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

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