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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Use Cases and Industry Applications | - Industry use cases for big data analytics - ROI and business impact storytelling |
| Sales Value Proposition | - Identifying customer pain points and business drivers - Mapping IBM solutions to customer needs |
| Big Data and Analytics Fundamentals | - Data analytics lifecycle and business value - Core concepts of big data (volume, velocity, variety) |
| 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 who tells you, "Big Data equals Hadoop."
A) All of the above.
B) Yes, it does.
C) But Hadoop does not work with social data.
D) Hadoop is just one technology we will use to get actionable insight from all types of data.
2. What do you tell a customer that tells you Data Warehousing is obsolete?
A) All of the above.
B) 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.
C) 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.
D) 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.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B |








