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