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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Sales Approach and Value Proposition | - Solution selling methodology - Customer value identification |
| Competitive Positioning | - Competitive landscape awareness - IBM differentiation in analytics market |
| IBM Big Data & Analytics Portfolio Overview | - IBM Big Data solutions positioning - Core analytics and data management offerings |
| Big Data Use Cases and Industry Applications | - Enterprise analytics use cases - Industry-specific data solutions |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
What is the problem Watson Explorer solves for our customer?
- A. Organizations are drowning in a sea of data. They know it possesses great value but are unsure how to tap into it. Watson Explorer is a great way to get started with that.
- B. Organizations have multiple views of customer, product and enterprise. They wish a SINGLE view across each one of these domains. Watson Explorer can give them that.
- C. Organizations don't know what data they have. Watson Explorer can bring that data back into the Exploration, Archive and Landing Zone, discover the attributes then structure into trusted data.
- D. Organizations need actionable information at the right time. Watson Explorer can find the right data, analyze it in real time then queue up actionable insight for the use inside and outside of the firewall.
Correct Answer: A 🗳️
Which of the following describes machine data?
- A. It may be time-sensitive
- B. All of the above
- C. It can be combined with enterprise data
- D. It comes in large volumes
Correct Answer: C 🗳️
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