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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data and Analytics Market and Opportunity | 25% | - Identify industry use cases and value propositions - Define big data characteristics and business drivers |
| Topic 2: Solution Positioning and Competitive Differentiation | 25% | - Articulate IBM advantages over competitors - Address common customer objections |
| Topic 3: IBM Big Data and Analytics Portfolio | 35% | - IBM Watson Foundations and cognitive analytics - IBM SPSS and predictive analytics offerings - IBM BigInsights and Hadoop-based solutions - IBM Data Warehouse and Db2 Analytics Accelerator |
| Topic 4: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
Question 1
Typically social media is characterized as {structured or unstructured} data and is located {internal or external} to an organization. Choose the correct combination.
A. Unstructured - Internal
B. Structured - External
C. Unstructured - External
D. Structured - Internal
Question 2
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 root cause analysis
C. Unable to perform complex real-time analysis
D. Having difficulty dealing with large volumes of machine data
Solutions:
| Question 1 Answer: D | Question 2 Answer: C |
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