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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data and Analytics Market and Opportunity | 25% | - Define big data characteristics and business drivers - Identify industry use cases and value propositions |
| Topic 2: IBM Big Data and Analytics Portfolio | 35% | - IBM Data Warehouse and Db2 Analytics Accelerator - IBM BigInsights and Hadoop-based solutions - IBM SPSS and predictive analytics offerings - IBM Watson Foundations and cognitive analytics |
| Topic 3: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| Topic 4: Solution Positioning and Competitive Differentiation | 25% | - Articulate IBM advantages over competitors - Address common customer objections |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
Question 1
What is InfoSphere Streams?
A. In memory database for optimized queries and fast results
B. Big data solution specifically for fast analysis of social data
C. Business Intelligence (BI) tool built on rules designed for speed
D. In memory processing of all data for fast analytics
Question 2
Typically social media is characterized as {structured or unstructured} data and is located {internal or external} to an organization. Choose the correct combination.
A. Structured - Internal
B. Unstructured - Internal
C. Structured - External
D. Unstructured - External
Solutions:
| Question 1 Answer: B | Question 2 Answer: A |
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