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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data and Analytics Market and Opportunity | 25% | - Identify industry use cases and value propositions - Define big data characteristics and business drivers |
| Topic 2: Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
| Topic 3: IBM Big Data and Analytics Portfolio | 35% | - IBM BigInsights and Hadoop-based solutions - IBM SPSS and predictive analytics offerings - IBM Data Warehouse and Db2 Analytics Accelerator - IBM Watson Foundations and cognitive analytics |
| Topic 4: Sales Strategy and Customer Engagement | 15% | - Demonstrate ROI and business outcomes - Qualify opportunities and identify stakeholders |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
Which of the following describes machine data?
- A. It may be time-sensitive
- B. It can be combined with enterprise data
- C. All of the above
- D. It comes in large volumes
Correct Answer: B 🗳️
Why is IBM a strong player in Data Warehouse Modernization?
- A. IBM has the deepest patent assets and investment of any vendor
- B. IBM is the only vendor to bring cognitive capabilities into the data warehouse picture
- C. IBM employs proven solutions that help clients
- D. All of the above
Correct Answer: D 🗳️
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