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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 analytics platforms and tools overview - IBM Cloud data and analytics solutions positioning |
| Big Data and Analytics Fundamentals | - Core concepts of big data (volume, velocity, variety) - Data analytics lifecycle and business value |
| 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. A major differentiator for the Watson Foundations is:
A) Open source Hadoop
B) Ability to analyze structured data
C) Analytics and Governance throughout
D) All of the above
2. What is InfoSphere Streams?
A) In memory database for optimized queries and fast results
B) Business Intelligence (BI) tool built on rules designed for speed
C) Big data solution specifically for fast analysis of social data
D) In memory processing of all data for fast analytics
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C |
