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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Sales Value Proposition | - Mapping IBM solutions to customer needs - Identifying customer pain points and business drivers |
| IBM Big Data & Analytics Portfolio | - IBM Cloud data and analytics solutions positioning - IBM analytics platforms and tools overview |
| Big Data and Analytics Fundamentals | - Data analytics lifecycle and business value - Core concepts of big data (volume, velocity, variety) |
| Use Cases and Industry Applications | - Industry use cases for big data analytics - ROI and business impact storytelling |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. Who are key stakeholders in the Data Warehouse Modernization conversation?
A) Data Scientists and Data professionals
B) All of the above
C) IT Managers
D) C-level Executives
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 What do you tell a customer that tells you Data Warehousing is obsolete?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 above.
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 analysts are saying the same thing. New technology gives us the ability to finally analyze Big Data, something the Data Warehouse could not do.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C |
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