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

IBM 000-N32 test insides dumps
  • Exam Code: 000-N32
  • Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
  • Updated: Jun 01, 2026
  • Q & A: 34 Questions and Answers
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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?

A) MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
B) MapReduce jobs are used to process structured data in sequence, with fault-tolerance.
C) MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.
D) MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.


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

A) InfoSphere Data Explorer?s annotators allow users to save results in a private/public folder for
later review or sharing.
B) 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.
C) InfoSphere Data Explorer?s annotators allow users to create groups of search results.
D) 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.


3. How do enterprises leverage big data platforms?

A) By sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.
B) By modifying the data being streamed using pre-existing ETL transformations, and storing the final formatted data into a data warehouse for further enterprise analysis.
C) By storing all of the data in its native business object format, so the enterprise can get value out of it through massive parallelism using readily available components.
D) By isolating workloads into a single node, and further processing all the data in sequence.


4. Which of the following options contains the main components of Hadoop? (Choose three)

A) MapReduce framework.
B) Hadoop Distributed File System (HDFS).
C) Text Analytics.
D) Apache Commons.


Solutions:

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

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