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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: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| Topic 3: IBM Big Data and Analytics Portfolio | 35% | - IBM SPSS and predictive analytics offerings - IBM BigInsights and Hadoop-based solutions - IBM Data Warehouse and Db2 Analytics Accelerator - IBM Watson Foundations and cognitive analytics |
| Topic 4: Solution Positioning and Competitive Differentiation | 25% | - Articulate IBM advantages over competitors - Address common customer objections |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
The IBM Watson Foundations are made up of different data zones that match to different data analysis needs.
- A. True
- B. False
Correct Answer: A 🗳️
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
Which of the following describes machine data?
- A. All of the above
- B. It can be combined with enterprise data
- C. It may be time-sensitive
- D. It comes in large volumes
Correct Answer: B 🗳️
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