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

000-N32 real exams

Exam Code: 000-N32

Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1

Updated: Sep 03, 2026

Q & A: 34 Questions and Answers

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IBM 000-N32 Exam Syllabus Topics:

SectionObjectives
Topic 1: Big Data Fundamentals- Business drivers and value of Big Data
- Definition and characteristics of Big Data
- Big Data challenges and opportunities
Topic 2: Big Data Architecture- Data acquisition and ingestion
- Data processing and analytics pipeline
- Distributed storage concepts
Topic 3: Core Big Data Technologies- MapReduce processing model
- NoSQL database concepts
- Hadoop ecosystem fundamentals
Topic 4: Analytics and Business Applications- Real-time and streaming analytics
- Predictive analytics fundamentals
- Business intelligence and decision support scenarios
Topic 5: IBM Big Data Solutions- IBM InfoSphere BigInsights overview
- IBM InfoSphere Streams overview
- Integration with IBM analytics and information management products

IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

Question 1

Which of the following options is CORRECT?

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


Question 2

Which of the following options is NOT CORRECT?

A. Big data solutions are ideal for Online Transaction Analytical Process (OLTP) environments.
B. Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn?t nearly as effective as a larger set of data from which to derive analysis.
C. Big data solutions are ideal for analyzing not only raw structured data, but semi- structured and unstructured data from a wide variety of sources.
D. Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.


Question 3

What are the ?4 Vs? that characterize IBM?s Big Data initiative?

A. Velocity, Volatility, Variety, Veracity
B. Volume, Volatility, Velocity, Variety
C. Veracity, Variety, Volume, Velocity
D. Variety, Versions, Velocity, Volatility


Question 4

Which of the following options is CORRECT?

A. 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.
B. InfoSphere Streams is only able to process traditional structured data from a variety of sources.
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.


Solutions:

Question 1
Answer: B
Question 2
Answer: A
Question 3
Answer: C
Question 4
Answer: A

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