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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: Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
| Topic 3: 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 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. What are compelling reasons for a business to act on modernization?
A) Their competitors are leveraging big data
B) IT has significant staffing levels that attempt to manage data complexity
C) B and C
D) Data Warehouse capabilities are not keeping up with business expectations
2. When talking to an IT buyer who thinks that Operations Analysis sounds difficult, which response does NOT apply?
A) IBM solutions will help you combine machine and enterprise data.
B) IBM solutions will help you analyze machine data in addition to enterprise data.
C) It's only complicated if you have machine data in-motion.
D) Machine data is complicated, but we've made it easier to analyze
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C |
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