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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: IBM Big Data and Analytics Portfolio | 35% | - IBM SPSS and predictive analytics offerings - IBM Watson Foundations and cognitive analytics - IBM Data Warehouse and Db2 Analytics Accelerator - IBM BigInsights and Hadoop-based solutions |
| Topic 2: Solution Positioning and Competitive Differentiation | 25% | - Articulate IBM advantages over competitors - Address common customer objections |
| Topic 3: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| 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:
1. Why is IBM a strong player in Data Warehouse Modernization?
A) IBM employs proven solutions that help clients
B) IBM is the only vendor to bring cognitive capabilities into the data warehouse picture
C) IBM has the deepest patent assets and investment of any vendor
D) All of the above
2. 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) Yes, but we have enterprise ready Hadoop.
C) No, Hadoop is not a proven technology and could easily fail to meet expectations.
D) No, newer technologies are improving current Data Warehouses performance and functionality.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C |
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