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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Competitive Positioning | - Competitive landscape awareness - IBM differentiation in analytics market |
| Topic 2: Sales Approach and Value Proposition | - Customer value identification - Solution selling methodology |
| Topic 3: IBM Big Data & Analytics Portfolio Overview | - IBM Big Data solutions positioning - Core analytics and data management offerings |
| Topic 4: Big Data Use Cases and Industry Applications | - Enterprise analytics use cases - Industry-specific data solutions |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. What do you tell a customer that tells you Data Warehousing is obsolete?
A) 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.
B) All of the above.
C) 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.
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.
2. In which industries is personalization of product bundles and service a relevant project for Enhanced 360?
A) All of the above
B) Banking
C) Retail
D) Telco
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D |





