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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: Nov 11, 2026
- No. of Questions: 33 Questions and Answers
- Download Limit: Unlimited
Price: $59.98
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IBM 000-N38 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Security and Administration | - Cluster monitoring and maintenance - User authentication and authorization |
| Topic 2: IBM InfoSphere BigInsights Architecture | - BigInsights system components and deployment models - Cluster configuration and management |
| Topic 3: Data Processing and Analytics | - Text analytics and advanced analytics capabilities - MapReduce processing model - Big SQL and query processing |
| Topic 4: Big Data and Hadoop Fundamentals | - HDFS architecture and data storage principles - Hadoop ecosystem components |
| Topic 5: Data Ingestion and Integration | - Integration with external data sources - Data loading techniques |
Preparing for 000-N38 with Feedback That Corrects You
Because preparation here is practical and self-correcting. 33 practice questions for the 000-N38 exam carry verified answers, the simulator marks every attempt and flags the wrong ones for repeat practice until mastery, and the whole package — PDF, software, online — stays current with daily checks. Individuals prepare for their own certifications; companies prepare whole teams with us. Either way, the material works the same way: rehearse, see your mistakes, fix them.
The official IBM InfoSphere BigInsights Technical Mastery Test v2 outline distributes weight this way:
- Security and Administration ()
- Big Data and Hadoop Fundamentals ()
- Data Ingestion and Integration ()
Basic knowledge of Hadoop ecosystem and distributed data processing is recommended.
Feedback is the difference. The PDF version serves printing and handwritten annotation well, but it cannot watch you practice. The 000-N38 simulator recreates the real test scene, marks your performance automatically, points out the questions you answered incorrectly, and keeps them flagged so you rehearse them until mastery — the moment exam nervousness disappears. For pure reading and note-taking, the PDF remains excellent; for becoming exam-ready, most candidates rightly choose the simulator.
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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
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.
Correct Answer: D 🗳️
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.
Correct Answer: C 🗳️
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.
Correct Answer: B 🗳️
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.
Correct Answer: C 🗳️
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