IBM 000-N32 valid dump torrent : IBM Big Data Fundamentals Technical Mastery Test v1

  • Exam Code: 000-N32
  • Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
  • Updated: Jul 10, 2026
  • Q&As: 34 Questions and Answers

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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. InfoSphere Data Explorer accommodates data variety through (choose three):

A) Sophisticated security mapping, including cross-domain and field-level security.
B) Broad connectivity to a wide range of data management systems and applications.
C) Support for new ?virtual multi-dimensional node? technology capable of aggregating documents created from multiple sources or tables.
D) Federated connectivity in the cloud and on-premise.


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

A) MapReduce jobs are used to process structured data in sequence, with fault-tolerance.
B) 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.
C) MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.
D) MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.


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 partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
B) 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.
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 large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.


4. Which of the following options is CORRECT?

A) InfoSphere Streams submits queries to structured dynamic data.
B) InfoSphere Streams submits dynamic data to pre-existing queries.
C) InfoSphere Streams submits queries to structured static data.
D) InfoSphere Streams submits queries to unstructured dynamic data.


Solutions:

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

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