Exam Code: 000-N32
Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
Updated: Jul 27, 2026
Q & A: 34 Questions and Answers
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| Section | Objectives |
|---|---|
| Topic 1: Big Data Fundamentals | - Core Big Data Concepts
|
| Topic 2: Data Processing & Analytics | - Analytics Concepts
|
| Topic 3: Big Data Applications | - Industry Use Cases
|
| Topic 4: Data Management | - Data Storage and Warehousing
|
1. 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 large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.
B) 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.
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 files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
2. Which of the following options is CORRECT?
A) InfoSphere Streams is only able to process traditional structured data from a variety of sources.
B) InfoSphere Streams high availability feature allows for processing elements (PEs) on failing
nodes to be moved and automatically restarted,
with communications re-routed, to a healthy node.
C) InfoSphere Streams does not allow you to dynamically add hosts and jobs
D) InfoSphere Streams optimizes its workload by aggregating an entire job into a single node.
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 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 save results in a private/public folder for
later review or sharing.
D) InfoSphere Data Explorer?s annotators allow users to create groups of search results.
4. How do enterprises leverage big data platforms?
A) 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.
B) By sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.
C) By isolating workloads into a single node, and further processing all the data in sequence.
D) 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.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A |
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