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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| Topic 2: IBM Big Data and Analytics Portfolio | 35% | - IBM BigInsights and Hadoop-based solutions - IBM SPSS and predictive analytics offerings - IBM Watson Foundations and cognitive analytics - IBM Data Warehouse and Db2 Analytics Accelerator |
| Topic 3: Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
| Topic 4: 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
The IBM Watson Foundations are made up of different data zones that match to different data analysis needs.
A. True
B. False
Question #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 Correct Answer: A | Question #2 Correct Answer: A |
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