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Exam Code: M2090-743
Exam Name: IBM Big Data and Analytics Sales Mastery v2
Updated: Aug 31, 2026
Q & A: 20 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| Topic 2: Big Data and Analytics Market and Opportunity | 25% | - Identify industry use cases and value propositions - Define big data characteristics and business drivers |
| Topic 3: Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
| Topic 4: IBM Big Data and Analytics Portfolio | 35% | - IBM BigInsights and Hadoop-based solutions - IBM Data Warehouse and Db2 Analytics Accelerator - IBM SPSS and predictive analytics offerings - IBM Watson Foundations and cognitive analytics |
Question 1
What is the problem BigInsights solves for our customer?
A. Our customers want Hadoop to be able to analyze data in motion.
B. Our customers want to manage new data sources in an efficient way. They want to acquire, grow & analyze data in order to stay competitive & grow their business.
C. Our customers want to explore data, extract, load, and transform the data into trusted information then move into a PureData for Analytics environment for analysis.
D. Our customers want to have a single view of the customer and maintain the 'golden' record of enterprise information that will be 'pushed' to every application that needs that information.
Question 2
Why is IBM a strong player in Data Warehouse Modernization?
A. All of the above
B. IBM is the only vendor to bring cognitive capabilities into the data warehouse picture
C. IBM employs proven solutions that help clients
D. IBM has the deepest patent assets and investment of any vendor
Solutions:
| Question 1 Answer: C | Question 2 Answer: A |
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