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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data and Analytics Fundamentals | - Data analytics lifecycle and business value - Core concepts of big data (volume, velocity, variety) |
| Topic 2: Sales Value Proposition | - Identifying customer pain points and business drivers - Mapping IBM solutions to customer needs |
| Topic 3: Use Cases and Industry Applications | - ROI and business impact storytelling - Industry use cases for big data analytics |
| Topic 4: IBM Big Data & Analytics Portfolio | - IBM Cloud data and analytics solutions positioning - IBM analytics platforms and tools overview |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. What is InfoSphere Streams?
A) In memory processing of all data for fast analytics
B) In memory database for optimized queries and fast results
C) Big data solution specifically for fast analysis of social data
D) Business Intelligence (BI) tool built on rules designed for speed
2. A major differentiator for the Watson Foundations is:
A) Analytics and Governance throughout
B) All of the above
C) Ability to analyze structured data
D) Open source Hadoop
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D |








