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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data Use Cases and Industry Applications | - Enterprise analytics use cases - Industry-specific data solutions |
| Topic 2: Competitive Positioning | - IBM differentiation in analytics market - Competitive landscape awareness |
| Topic 3: IBM Big Data & Analytics Portfolio Overview | - Core analytics and data management offerings - IBM Big Data solutions positioning |
| Topic 4: Sales Approach and Value Proposition | - Solution selling methodology - Customer value identification |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
If a prospect states that in general the Data Warehouse Era is over, what would be a good reply?
- A. No, newer technologies are improving current Data Warehouses performance and functionality.
- B. Yes, most Data Warehouses are obsolete.
- C. Yes, but we have enterprise ready Hadoop.
- D. No, Hadoop is not a proven technology and could easily fail to meet expectations.
Correct Answer: D 🗳️
What do you tell a customer who tells you, "Big Data equals Hadoop."
- A. Hadoop is just one technology we will use to get actionable insight from all types of data.
- B. Yes, it does.
- C. But Hadoop does not work with social data.
- D. All of the above.
Correct Answer: A 🗳️
