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IBM M2090-743 Exam Syllabus Topics:

SectionWeightObjectives
IBM Big Data and Analytics Portfolio35%- 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 Engagement15%- Demonstrate ROI and business outcomes
- Qualify opportunities and identify stakeholders
Solution Positioning and Competitive Differentiation25%- Articulate IBM advantages over competitors
- Address common customer objections
Big Data and Analytics Market and Opportunity25%- 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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