Exam Details

  • Exam Code
    :P2090-038
  • Exam Name
    :IBM InfoSphere BigInsights Technical Mastery Test v2
  • Certification
    :IBM Certifications
  • Vendor
    :IBM
  • Total Questions
    :60 Q&As
  • Last Updated
    :Jun 07, 2025

IBM IBM Certifications P2090-038 Questions & Answers

  • Question 21:

    What is the difference between Hadoop MapReduce and IBM Adaptive MapReduce feature available in InfoSphere BigInsights?

    A. Hadoop Map Reduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on largepartitioned files.

    B. Hadoop MapReduce is optimized for operating on large files, while IBM Adaptive MapReduce is configurable to operate optimized on large or small files or splits

    C. Hadoop MapReduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on large files stored in individual blocks.

    D. Hadoop MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM? Adaptive MapReduceis optimized for operating on large partitioned files.

  • Question 22:

    What is Hadoop?

    A. Hadoop is a single-node file system used as a base for storing traditional formatted data.

    B. Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.

    C. Hadoop is a universal Big Data programming language used to query large datasets.

    D. Hadoop is programming language capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.

  • Question 23:

    Which of the following options is NOT CORRECT?

    A. Big data solutions are ideal for analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.

    B. 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 nearlyBig 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? nearlyas effective as a larger set of data from which to derive analysis.

    C. Big data solutions are ideal for Online Transaction Processing (OLTP) environments.

    D. Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.

  • Question 24:

    Which of the following options DOES NOT describe an advantage of InfoSphere BigInsights on top of regular standalone Hadoop distributions?

    A. Integrated install

    B. BigSheets

    C. Adaptive MapReduce

    D. Support to HiveQL and PigLatin languages.

  • Question 25:

    For maximum stability, the recommended number of dedicated hosts in order to implement the high availability configuration for BigInsights (consisting of the HA manager, the NameNode, and the JobTracker) is:

    A. 1

    B. 2

    C. 3

    D. 4

  • Question 26:

    How do big data solutions interact with the existing enterprise infrastructure?

    A. Big data solutions must substitute the existing enterprise infrastructure; therefore there is no interaction between them.

    B. Big data solutions are only plug-ins and additions to existing data warehouses, and therefore cannot work with any other enterprise infrastructure.

    C. Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it does not interact with existing infrastructure.

    D. Big data solutions works in parallel and together with the existing enterprise infrastructure, where pre-existing connectors are used to integrate big data technologies together with other enterprise solutions.

  • Question 27:

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

    A. Hadoop Distributed File System.

    B. Hive.

    C. Pig.

    D. BigSheets.

  • Question 28:

    Hadoop environments are optimized for:

    A. Processing transactions (random access).

    B. Low latency data access.

    C. Batch processing on large files.

    D. Intensive calculation with little data.

  • Question 29:

    What is the InfoSphere BigInsights Credential Store?

    A. The InfoSphere BigInsights credentials store is a table stored in the HBase relational database that stores passwords, tokens, and other potentially sensitive information.

    B. The InfoSphere BigInsights credentials store is a designated folder on the distributed file system (DFS) that stores passwords, tokens, and other potentially sensitive information.

    C. The InfoSphere BigInsights credentials store is a designated folder in the local file system (not HDFS) that stores the authorities and privileges for all users in the BigInsights environment.

    D. The InfoSphere BigInsights credentials store is a designated file defined by an environment variable that stores the authorities and privileges for all users in the BigInsights environment.

  • Question 30:

    What does ig Data represent?

    A. A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.

    B. A concept and platform of technologies with the characteristics of the ? Vs? that is able to handle large amounts of unstructured,semi-structured, and structured raw data unlike traditional systems.

    C. A database feature capable of converting pre-existing structured data into unstructured raw data.

    D. Only data stored in the BIGDATA table in any relational database.

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