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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sales Strategy and Customer Engagement | 15% | - Demonstrate ROI and business outcomes - Qualify opportunities and identify stakeholders |
| Topic 2: Big Data and Analytics Market and Opportunity | 25% | - Define big data characteristics and business drivers - Identify industry use cases and value propositions |
| Topic 3: Solution Positioning and Competitive Differentiation | 25% | - Articulate IBM advantages over competitors - Address common customer objections |
| Topic 4: 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 |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
When talking to an IT buyer who thinks that Operations Analysis sounds difficult, which response does NOT apply?
- A. IBM solutions will help you analyze machine data in addition to enterprise data.
- B. IBM solutions will help you combine machine and enterprise data.
- C. Machine data is complicated, but we've made it easier to analyze
- D. It's only complicated if you have machine data in-motion.
What do you tell a customer that tells you Data Warehousing is obsolete?
- A. Our customers have made a lot of investment in data warehousing and this will continue to pay off. We will leverage this infrastructure within our Watson Foundations and will not rip and replace it with something that does not have the performance to analyze unstructured data.
- B. All of the analysts are saying the same thing. New technology gives us the ability to finally analyze Big Data, something the Data Warehouse could not do.
- C. All of the above.
- D. IBM agrees. Our BigInsights product is based on open source Hadoop which we have transformed into an Enterprise ready platform. We have layered this with security, governance and analytics.
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