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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) |
| IBM Big Data & Analytics Portfolio | - IBM analytics platforms and tools overview - IBM Cloud data and analytics solutions positioning |
| Sales Value Proposition | - Mapping IBM solutions to customer needs - Identifying customer pain points and business drivers |
| Use Cases and Industry Applications | - ROI and business impact storytelling - Industry use cases for big data analytics |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. Which of the following describes machine data?
A) It can be combined with enterprise data
B) It comes in large volumes
C) All of the above
D) It may be time-sensitive
2. Which of the following is probably not a good candidate for Operations Analysis? Someone who is:
A) Having difficulty dealing with large volumes of machine data
B) Unable to perform root cause analysis
C) Unable to perform complex real-time analysis
D) Looking to extend the data warehouse
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C |
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