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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Sales Value Proposition | - Mapping IBM solutions to customer needs - Identifying customer pain points and business drivers |
| Topic 2: IBM Big Data & Analytics Portfolio | - IBM Cloud data and analytics solutions positioning - IBM analytics platforms and tools overview |
| Topic 3: Use Cases and Industry Applications | - Industry use cases for big data analytics - ROI and business impact storytelling |
| 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. What is a good entry point for Data Warehouse Modernization?
A) Exploit new technology to build staff resume skills.
B) Rip-and-Replace the current Data Warehouse
C) Add data sources to support new subject areas
D) Chance for Information Technology (IT) to lock down an inflexible ecosystem.
2. If a prospect states that in general the Data Warehouse Era is over, what would be a good reply?
A) No, Hadoop is not a proven technology and could easily fail to meet expectations.
B) Yes, most Data Warehouses are obsolete.
C) Yes, but we have enterprise ready Hadoop.
D) No, newer technologies are improving current Data Warehouses performance and functionality.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A |







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