IBM M2090-639 Questions & Answers - in .pdf
- Total Q&A: 54
- Update: Aug 07, 2026
- Price: $59.99
- Vendor: IBM
- Exam Code: M2090-639
- Exam Name: IBM Big Data Sales Mastery Test v1
- Features:
- Convenient, easy to study.
- Printable IBM M2090-639 PDF Format.
- 100% Money Back Guarantee.
- Complete IBM Recommended Syllabus.
- Free M2090-639 PDF Demo Available.
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- Technical Support through Live Chat or Email.
- Exact IBM M2090-639 Exam Questions with Correct Answers, verified by Experts with years of Experience in IT Field.
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IBM M2090-639 Q&A - Testing Engine
- Total Q&A: 54
- Update: Aug 07, 2026
- Price: $59.99
- Vendor: IBM
- Exam Code: M2090-639
- Exam Name: IBM Big Data Sales Mastery Test v1
- Features:
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IBM M2090-639 Exam Syllabus Topics:
| Section | Objectives |
|---|
| Big Data Use Cases | - Industry applications
- 1. Retail and customer analytics
- 2. Financial services risk and fraud analytics
- 3. Telecommunications network analytics
- Technical application scenarios
- 1. Real-time data processing concepts
- 2. Data warehousing and integration overview
|
| IBM Big Data Portfolio Overview | - IBM Big Data solutions and offerings overview
- 1. Big data architecture concepts
- 2. IBM analytics and data platform positioning
- Key value propositions
- 1. Business value of big data adoption
- 2. Industry use cases and outcomes
|
| Sales Positioning and Messaging | - Solution selling approach
- 1. Customer pain points and mapping to IBM solutions
- 2. Competitive differentiation overview
- Target industries and personas
- 1. Enterprise data stakeholders
- 2. Business decision maker alignment
|
| IBM Big Data Ecosystem | - Integration and cloud capabilities
- 1. Hybrid cloud data strategies
- 2. Integration with enterprise systems
- Core components
- 1. Analytics and visualization tools
- 2. Data storage and management solutions
|
IBM Big Data Sales Mastery Test v1 Sample Questions:
1. Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers.
A) False
B) True
2. Top Industry Big Data use cases include:
A) Utilities
B) Telcom
C) Healthcare
D) Retail
E) Finance
F) Government
G) All of the above
3. There are how many IBM Big Data products:
A) Two
B) One
C) None of the above
D) Three
E) Four
4. HDFS stands for:
A) None of the above
B) Hadoop Distributed Filter System
C) Hadoop Diluted File System
D) Hadoop Distributed File system
E) Handy Device For Servers
5. An Insurance company investigating how to leverage Big Data uncovered what opportunities?
A) Layered search capability
B) Predictive analytics
C) Voice of the customer
D) Optimize internal operations
E) Competitive intelligence
F) All of the above
Solutions:
Question # 1
Answer: B | Question # 2
Answer: G | Question # 3
Answer: C | Question # 4
Answer: D | Question # 5
Answer: F |
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