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IBM M2090-743 Exam Overview:
| Certification Vendor: | IBM |
| Exam Name: | IBM Big Data and Analytics Sales Mastery v2 |
| Exam Number: | M2090-743 |
| Passing Score: | 75% |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 44 |
| Available Languages: | English |
| Related Certifications: | IBM Big Data and Analytics Sales Specialist |
| Exam Price: | USD 100–200 (region-dependent) |
| Exam Format: | Multiple Choice, Multiple Response |
| Recommended Training: | IBM Big Data and Analytics Sales Mastery v2 Training IBM Big Data and Analytics Sales Resources |
| Exam Registration: | IBM Certification Portal Pearson VUE Registration |
| Sample Questions: | IBM M2090-743 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE authorized centers |
| Pre Condition: | No formal prerequisites; recommended sales experience with data solutions |
| Official Syllabus URL: | https://www.ibm.com/training/certification/m2090-743 |
IBM M2090-743 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sales Strategy and Customer Engagement | 15% | - Qualify opportunities and identify stakeholders - Demonstrate ROI and business outcomes |
| 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 Data Warehouse and Db2 Analytics Accelerator - IBM SPSS and predictive analytics offerings - IBM BigInsights and Hadoop-based solutions - IBM Watson Foundations and cognitive analytics |
| Topic 4: Big Data and Analytics Market and Opportunity | 25% | - Identify industry use cases and value propositions - Define big data characteristics and business drivers |
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 What do you tell a customer that tells you Data Warehousing is obsolete?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. If a prospect states that in general the Data Warehouse Era is over, what would be a good reply?
A) No, newer technologies are improving current Data Warehouses performance and functionality.
B) Yes, but we have enterprise ready Hadoop.
C) No, Hadoop is not a proven technology and could easily fail to meet expectations.
D) Yes, most Data Warehouses are obsolete.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C |
By Kyle
