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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| IBM Big Data & Analytics Portfolio Overview | - IBM Big Data solutions positioning - Core analytics and data management offerings |
| Competitive Positioning | - Competitive landscape awareness - IBM differentiation in analytics market |
| Big Data Use Cases and Industry Applications | - Industry-specific data solutions - Enterprise analytics use cases |
| Sales Approach and Value Proposition | - Customer value identification - Solution selling methodology |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. If a prospect states that in general the Data Warehouse Era is over, what would be a good reply?
A) No, Hadoop is not a proven technology and could easily fail to meet expectations.
B) Yes, but we have enterprise ready Hadoop.
C) Yes, most Data Warehouses are obsolete.
D) No, newer technologies are improving current Data Warehouses performance and functionality.
2. A major differentiator for the Watson Foundations is:
A) All of the above
B) Open source Hadoop
C) Ability to analyze structured data
D) Analytics and Governance throughout
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B |
