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Instant Download IBM : 000-N38 Questions & Answers as PDF & Test Engine
- Exam Code: 000-N38
- Exam Name: IBM InfoSphere BigInsights Technical Mastery Test v2
- Updated: Jun 02, 2026
- No. of Questions: 33 Questions and Answers
- Download Limit: Unlimited
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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
1. Which of the following options is CORRECT?
A) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
B) InfoSphere BigInsights is based on the non forked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.
C) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
D) InfoSphere BigInsights is based on the non forked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.
2. Which of the following integrated development environment (IDE) can be used to develop programs to be used with InfoSphere BigInsights?
A) InfoSphere Streams Studio
B) InfoSphere Data Explorer.
C) Eclipse with InfoSphere BigInsights plug-in.
D) IBM Data Studio with InfoSphere Data Explorer plug-in.
3. InfoSphere BigInsights offers the following benefits to your organization, EXCEPT:
A) It complements your existing infrastructure by extending your data collection and analysis capabilities.
B) It cuts costs by providing an efficient compression algorithm based on row level compression using a dictionary to store repetitive patterns.
C) It enables analysis at scale.
D) It integrates data from a variety of structured and unstructured sources.
4. What is the difference between Hadoop MapReduce and IBM Adaptive MapReduce feature available in InfoSphere BigInsights?
A) 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.
B) Hadoop Map Reduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on largepartitioned files.
C) 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
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.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C |
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