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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Use Cases and Industry Applications | - Industry use cases for big data analytics - ROI and business impact storytelling |
| IBM Big Data & Analytics Portfolio | - IBM Cloud data and analytics solutions positioning - IBM analytics platforms and tools overview |
| Big Data and Analytics Fundamentals | - Core concepts of big data (volume, velocity, variety) - Data analytics lifecycle and business value |
| Sales Value Proposition | - Identifying customer pain points and business drivers - Mapping IBM solutions to customer needs |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. What is the problem Watson Explorer solves for our customer?
A) 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.
B) 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.
C) 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.
D) 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.
2. Which of the following describes machine data?
A) It may be time-sensitive
B) It can be combined with enterprise data
C) It comes in large volumes
D) All of the above
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B |
Fabian 
Theresa 
Prudence 
Abbott 
Jack 
Pamela 
Celeste 
Kennedy 
Audrey 
Elsa 
Muriel 
Hannah 
Len 
