IBM Big Data Sales Mastery Test v1 : 00M-639

  • Exam Code: 00M-639
  • Exam Name: IBM Big Data Sales Mastery Test v1
  • Updated: Sep 05, 2026     Q & A: 54 Questions and Answers

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IBM 00M-639 Exam Syllabus Topics:

SectionWeightObjectives
Architecture & Technical Fundamentals15%- Security, governance and scalability
- Integration and deployment models
- Big data architecture components
IBM Big Data Solutions Portfolio35%- InfoSphere BigInsights and Hadoop platform
- SPSS and advanced analytics
- InfoSphere Streams for real-time analytics
- Netezza and data warehousing
Sales Strategy & Competitive Positioning25%- Solution mapping to customer requirements
- Licensing and packaging overview
- Differentiating IBM from competitors
Big Data Market Opportunity & Value Proposition25%- Understanding big data characteristics and business drivers
- Communicating business value and ROI
- Identifying customer pain points and use cases

IBM Big Data Sales Mastery Test v1 Sample Questions:

Question 1

A Big Data platform does not allow you to enforce data structure, integrity and control to ensure consistency for repeatable queries.

A. False
B. True


Question 2

Forrester Wave states that, IBM has the deepest Hadoop platform and application portfolio.

A. False
B. True


Question 3

Infosphere BigInsights enables a computing solution that is:

A. Flexible -Hadoop is schema-less, and can absorb any type of data, structured or not, and from any number of sources.
B. Cost effective - Hadoop brings massively parallel computing to commodity servers. The result is a sizable decrease in the cost per terabyte of storage.
C. Fault tolerant - When a node is lost, the system redirects work to another location of the data and continues processing.
D. Scalable - New nodes can be added as needed, and added without needing to change data formats.
E. All of the above


Question 4

The term Big Data Variety refers to:

A. Both A and B
B. Manage the complexity of multiple relational and non-relational data types and schemas
C. The ability to analyze and draw conclusions from both structured and unstructured data
D. Data using large fonts


Question 5

An example of streaming analytics in Healthcare is:

A. Remote healthcare monitoring
B. Water management
C. Epidemic early warning
D. Neonatal ICU monitoring
E. A, B and C
F. All of the above


Solutions:

Question 1
Answer: A
Question 2
Answer: B
Question 3
Answer: E
Question 4
Answer: C
Question 5
Answer: D

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