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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
| IBM Big Data and Analytics Portfolio | 35% | - IBM Data Warehouse and Db2 Analytics Accelerator - IBM BigInsights and Hadoop-based solutions - IBM SPSS and predictive analytics offerings - IBM Watson Foundations and cognitive analytics |
| Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| Big Data and Analytics Market and Opportunity | 25% | - Define big data characteristics and business drivers - Identify industry use cases and value propositions |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. What is a good entry point for Data Warehouse Modernization?
A) Add data sources to support new subject areas
B) Exploit new technology to build staff resume skills.
C) Chance for Information Technology (IT) to lock down an inflexible ecosystem.
D) Rip-and-Replace the current Data Warehouse
2. What are compelling reasons for a business to act on modernization?
A) Data Warehouse capabilities are not keeping up with business expectations
B) Their competitors are leveraging big data
C) B and C
D) IT has significant staffing levels that attempt to manage data complexity
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B |
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