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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: IBM Big Data & Analytics Portfolio | - IBM Cloud data and analytics solutions positioning - IBM analytics platforms and tools overview |
| Topic 2: Use Cases and Industry Applications | - Industry use cases for big data analytics - ROI and business impact storytelling |
| Topic 3: Sales Value Proposition | - Identifying customer pain points and business drivers - Mapping IBM solutions to customer needs |
| Topic 4: Big Data and Analytics Fundamentals | - Data analytics lifecycle and business value - Core concepts of big data (volume, velocity, variety) |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. If a prospect states that in general the Data Warehouse Era is over, what would be a good reply?
A) Yes, most Data Warehouses are obsolete.
B) No, newer technologies are improving current Data Warehouses performance and functionality.
C) No, Hadoop is not a proven technology and could easily fail to meet expectations.
D) Yes, but we have enterprise ready Hadoop.
2. What is InfoSphere Streams?
A) Big data solution specifically for fast analysis of social data
B) Business Intelligence (BI) tool built on rules designed for speed
C) In memory database for optimized queries and fast results
D) In memory processing of all data for fast analytics
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A |
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