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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: IBM Big Data and Analytics Portfolio | 35% | - IBM Watson Foundations and cognitive analytics - IBM Data Warehouse and Db2 Analytics Accelerator - IBM BigInsights and Hadoop-based solutions - IBM SPSS and predictive analytics offerings |
| Topic 2: Big Data and Analytics Market and Opportunity | 25% | - Define big data characteristics and business drivers - Identify industry use cases and value propositions |
| Topic 3: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| Topic 4: Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. If a prospect states that in general the Data Warehouse Era is over, what would be a good reply?
A) Yes, most Data Warehouses are obsolete.
B) No, Hadoop is not a proven technology and could easily fail to meet expectations.
C) Yes, but we have enterprise ready Hadoop.
D) No, newer technologies are improving current Data Warehouses performance and functionality.
2. The IBM Watson Foundations are made up of different data zones that match to different data analysis needs.
A) True
B) False
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A |






