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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Sales Approach and Value Proposition | - Customer value identification - Solution selling methodology |
| Topic 2: IBM Big Data & Analytics Portfolio Overview | - IBM Big Data solutions positioning - Core analytics and data management offerings |
| Topic 3: Competitive Positioning | - IBM differentiation in analytics market - Competitive landscape awareness |
| Topic 4: Big Data Use Cases and Industry Applications | - Industry-specific data solutions - Enterprise analytics use cases |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. Which of the following is probably not a good candidate for Operations Analysis? Someone who is:
A) Looking to extend the data warehouse
B) Unable to perform complex real-time analysis
C) Having difficulty dealing with large volumes of machine data
D) Unable to perform root cause analysis
2. 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.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A |






