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IBM M2090-743 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data and Analytics Fundamentals | - Data analytics lifecycle and business value - Core concepts of big data (volume, velocity, variety) |
| Topic 2: Sales Value Proposition | - Mapping IBM solutions to customer needs - Identifying customer pain points and business drivers |
| Topic 3: Use Cases and Industry Applications | - ROI and business impact storytelling - Industry use cases for big data analytics |
| Topic 4: IBM Big Data & Analytics Portfolio | - IBM analytics platforms and tools overview - IBM Cloud data and analytics solutions positioning |
IBM Big Data and Analytics Sales Mastery v2 Sample Questions:
1. What is InfoSphere Streams?
A) In memory database for optimized queries and fast results
B) Business Intelligence (BI) tool built on rules designed for speed
C) Big data solution specifically for fast analysis of social data
D) In memory processing of all data for fast analytics
2. What is the problem BigInsights solves for our customer?
A) Our customers want to explore data, extract, load, and transform the data into trusted information then move into a PureData for Analytics environment for analysis.
B) Our customers want to have a single view of the customer and maintain the 'golden' record of enterprise information that will be 'pushed' to every application that needs that information.
C) Our customers want Hadoop to be able to analyze data in motion.
D) Our customers want to manage new data sources in an efficient way. They want to acquire, grow & analyze data in order to stay competitive & grow their business.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A |
