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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data and Analytics Market and Opportunity | 25% | - Identify industry use cases and value propositions - Define big data characteristics and business drivers |
| Topic 2: Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
| Topic 3: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| Topic 4: IBM Big Data and Analytics Portfolio | 35% | - IBM BigInsights and Hadoop-based solutions - IBM Watson Foundations and cognitive analytics - IBM SPSS and predictive analytics offerings - IBM Data Warehouse and Db2 Analytics Accelerator |
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) No, Hadoop is not a proven technology and could easily fail to meet expectations.
B) Yes, but we have enterprise ready Hadoop.
C) No, newer technologies are improving current Data Warehouses performance and functionality.
D) Yes, most Data Warehouses are obsolete.
2. A major differentiator for the Watson Foundations is:
A) Ability to analyze structured data
B) Analytics and Governance throughout
C) Open source Hadoop
D) All of the above
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C |
