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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
| Topic 2: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| Topic 3: Big Data and Analytics Market and Opportunity | 25% | - Identify industry use cases and value propositions - Define big data characteristics and business drivers |
| Topic 4: IBM Big Data and Analytics Portfolio | 35% | - IBM SPSS and predictive analytics offerings - IBM BigInsights and Hadoop-based solutions - IBM Watson Foundations and cognitive analytics - IBM Data Warehouse and Db2 Analytics Accelerator |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. A major differentiator for the Watson Foundations is:
A) Open source Hadoop
B) All of the above
C) Ability to analyze structured data
D) Analytics and Governance throughout
2. What are compelling reasons for a business to act on modernization?
A) B and C
B) IT has significant staffing levels that attempt to manage data complexity
C) Their competitors are leveraging big data
D) Data Warehouse capabilities are not keeping up with business expectations
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C |






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