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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Sales Strategy and Customer Engagement | 15% | - Demonstrate ROI and business outcomes - Qualify opportunities and identify stakeholders |
| IBM Big Data and Analytics Portfolio | 35% | - IBM SPSS and predictive analytics offerings - IBM BigInsights and Hadoop-based solutions - IBM Data Warehouse and Db2 Analytics Accelerator - IBM Watson Foundations and cognitive analytics |
| Big Data and Analytics Market and Opportunity | 25% | - Identify industry use cases and value propositions - Define big data characteristics and business drivers |
| Solution Positioning and Competitive Differentiation | 25% | - Articulate IBM advantages over competitors - Address common customer objections |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. Why is IBM a strong player in Data Warehouse Modernization?
A) IBM has the deepest patent assets and investment of any vendor
B) All of the above
C) IBM employs proven solutions that help clients
D) IBM is the only vendor to bring cognitive capabilities into the data warehouse picture
2. A major differentiator for the Watson Foundations is:
A) Open source Hadoop
B) All of the above
C) Analytics and Governance throughout
D) Ability to analyze structured data
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A |
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