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IBM M2090-639 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data Architecture and Technologies | - Analytics platforms and processing frameworks - Data lakes and hybrid cloud architectures |
| Topic 2: Business Value and Use Cases | - ROI and business transformation scenarios - Industry applications of Big Data analytics |
| Topic 3: IBM Big Data Portfolio | - Data integration and governance tools - Hadoop and distributed data processing concepts - IBM data and analytics solutions overview |
| Topic 4: Solution Positioning and Sales Scenarios | - Competitive differentiation of IBM Big Data solutions - Customer engagement and solution mapping |
| Topic 5: Big Data Fundamentals | - Core concepts of Big Data (volume, velocity, variety) - Data-driven business value and use cases |
IBM Big Data Sales Mastery Test v1 Sample Questions:
1. Hadoop is a product of:
A) Cheyenne Elite
B) Shoshone Systems
C) Chippewa Central
D) Cherokee Consulting
E) None of the above
F) Apache Commons
2. Applications for Big Data are:
A) Finite
B) Variable
C) Invariable
D) All of the above
E) Infinite
3. Organizations are using IBM's Big Data platform to analyze a variety of information to be more nimble in adjusting their brand strategy.
A) False
B) True
4. There are how many IBM Big Data products:
A) One
B) Two
C) Four
D) None of the above
E) Three
5. What percentage of the world's data is unstructured?
A) 60%
B) 50%
C) 80%
D) 90%
E) None of the above
F) 70%
Solutions:
| Question # 1 Answer: F | Question # 2 Answer: E | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: C |

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