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IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: IBM Big Data and Analytics Portfolio | 35% | - IBM Watson Foundations and cognitive analytics - IBM BigInsights and Hadoop-based solutions - IBM SPSS and predictive analytics offerings - IBM Data Warehouse and Db2 Analytics Accelerator |
| Topic 2: Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
| Topic 3: Big Data and Analytics Market and Opportunity | 25% | - Identify industry use cases and value propositions - Define big data characteristics and business drivers |
| 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:
1. What do you tell a customer that tells you Data Warehousing is obsolete?
A) IBM agrees. Our BigInsights product is based on open source Hadoop which we have transformed into an Enterprise ready platform. We have layered this with security, governance and analytics.
B) All of the analysts are saying the same thing. New technology gives us the ability to finally analyze Big Data, something the Data Warehouse could not do.
C) Our customers have made a lot of investment in data warehousing and this will continue to pay off. We will leverage this infrastructure within our Watson Foundations and will not rip and replace it with something that does not have the performance to analyze unstructured data.
D) All of the above.
2. What is a good entry point for Data Warehouse Modernization?
A) Rip-and-Replace the current Data Warehouse
B) Chance for Information Technology (IT) to lock down an inflexible ecosystem.
C) Exploit new technology to build staff resume skills.
D) Add data sources to support new subject areas
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D |
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