Last Updated: Aug 06, 2026
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| Section | Objectives |
|---|---|
| Topic 1: IBM Big Data & Analytics Portfolio | - IBM Cloud data and analytics solutions positioning - IBM analytics platforms and tools overview |
| Topic 2: Big Data and Analytics Fundamentals | - Core concepts of big data (volume, velocity, variety) - Data analytics lifecycle and business value |
| Topic 3: Sales Value Proposition | - Mapping IBM solutions to customer needs - Identifying customer pain points and business drivers |
| Topic 4: Use Cases and Industry Applications | - ROI and business impact storytelling - Industry use cases for big data analytics |
1. What do you tell a customer who tells you, "Big Data equals Hadoop."
A) Yes, it does.
B) Hadoop is just one technology we will use to get actionable insight from all types of data.
C) All of the above.
D) But Hadoop does not work with social data.
2. What is a good entry point for Data Warehouse Modernization?
A) Add data sources to support new subject areas
B) Exploit new technology to build staff resume skills.
C) Chance for Information Technology (IT) to lock down an inflexible ecosystem.
D) Rip-and-Replace the current Data Warehouse
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A |
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