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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Big Data and Analytics Fundamentals | - Data analytics lifecycle and business value - Core concepts of big data (volume, velocity, variety) |
| Sales Value Proposition | - Identifying customer pain points and business drivers - Mapping IBM solutions to customer needs |
| Use Cases and Industry Applications | - ROI and business impact storytelling - Industry use cases for big data analytics |
| IBM Big Data & Analytics Portfolio | - IBM analytics platforms and tools overview - IBM Cloud data and analytics solutions positioning |
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 What do you tell a customer that tells you Data Warehousing is obsolete?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) 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.
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) 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.
2. Which of the following describes machine data?
A) All of the above
B) It may be time-sensitive
C) It comes in large volumes
D) It can be combined with enterprise data
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D |



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