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IBM M2090-639 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Business Value and Use Cases | - ROI and business transformation scenarios - Industry applications of Big Data analytics |
| Topic 2: IBM Big Data Portfolio | - Data integration and governance tools - Hadoop and distributed data processing concepts - IBM data and analytics solutions overview |
| Topic 3: Solution Positioning and Sales Scenarios | - Customer engagement and solution mapping - Competitive differentiation of IBM Big Data solutions |
| Topic 4: Big Data Architecture and Technologies | - Data lakes and hybrid cloud architectures - Analytics platforms and processing frameworks |
| Topic 5: Big Data Fundamentals | - Data-driven business value and use cases - Core concepts of Big Data (volume, velocity, variety) |
IBM Big Data Sales Mastery Test v1 Sample Questions:
Question 1
Big Data use cases include:
A. Pre-processing
B. Combined high velocity and historical analysis
C. Reuse of structured data for exploratory analysis
D. All of the above
E. Combined structured and unstructured analysis
Question 2
Using Real-time video surveillance in a Law Enforcement, DOD or Cyber Security application would be best achieved by using Infosphere BigInsights.
A. False
B. True
Question 3
Infosphere Streams does not allow for the combining of high velocity real-time data with data in a warehouse for historical analysis.
A. False
B. True
Question 4
Infosphere BigInsights brings the power of Hadoop to the enterprise by providing:
A. Support
B. Built-in analytics
C. All of the above
D. Security
E. Extensive integration capabilities
F. Reliability
Question 5
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
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: A |
