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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data and Analytics Market and Opportunity | 25% | - Define big data characteristics and business drivers - Identify industry use cases and value propositions |
| Solution Positioning and Competitive Differentiation | 25% | - Articulate IBM advantages over competitors - Address common customer objections |
| Sales Strategy and Customer Engagement | 15% | - Demonstrate ROI and business outcomes - Qualify opportunities and identify stakeholders |
| IBM Big Data and Analytics Portfolio | 35% | - IBM Watson Foundations and cognitive analytics - IBM SPSS and predictive analytics offerings - IBM BigInsights and Hadoop-based solutions - IBM Data Warehouse and Db2 Analytics Accelerator |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
Question 1
Typically social media is characterized as {structured or unstructured} data and is located {internal or external} to an organization. Choose the correct combination.
A. Unstructured - External
B. Structured - Internal
C. Unstructured - Internal
D. Structured - External
Question 2
What do you tell a customer that tells you Data Warehousing is obsolete?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. 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.
D. All of the above.
Solutions:
| Question 1 Answer: B | Question 2 Answer: C |




