IBM M2090-743 Questions & Answers - in .pdf
- Total Q&A: 20
- Update: Sep 13, 2026
- Price: $49.99
- Vendor: IBM
- Exam Code: M2090-743
- Exam Name: IBM Big Data and Analytics Sales Mastery v2
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IBM M2090-743 Q&A - Testing Engine
- Total Q&A: 20
- Update: Sep 13, 2026
- Price: $49.99
- Vendor: IBM
- Exam Code: M2090-743
- Exam Name: IBM Big Data and Analytics Sales Mastery v2
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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% |
| Available Languages: | English |
| Related Certifications: | IBM Big Data and Analytics Sales Specialist |
| Exam Price: | USD 100–200 (region-dependent) |
| Real Exam Qty: | 44 |
| Exam Format: | Multiple Response, Multiple Choice |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 2 years |
| Recommended Training: | IBM Big Data and Analytics Sales Resources IBM Big Data and Analytics Sales Mastery v2 Training |
| Exam Registration: | Pearson VUE Registration IBM Certification Portal |
| 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 |
|---|---|---|
| Solution Positioning and Competitive Differentiation | 25% | - Address common customer objections - Articulate IBM advantages over competitors |
| IBM Big Data and Analytics Portfolio | 35% | - IBM BigInsights and Hadoop-based solutions - IBM SPSS and predictive analytics offerings - IBM Data Warehouse and Db2 Analytics Accelerator - IBM Watson Foundations and cognitive analytics |
| Sales Strategy and Customer Engagement | 15% | - Demonstrate ROI and business outcomes - Qualify opportunities and identify stakeholders |
| 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:
Question #1
The IBM Watson Foundations are made up of different data zones that match to different data analysis needs.
A. False
B. True
Question #2
What is the problem Watson Explorer solves for our customer?
A. Organizations have multiple views of customer, product and enterprise. They wish a SINGLE view across each one of these domains. Watson Explorer can give them that.
B. Organizations need actionable information at the right time. Watson Explorer can find the right data, analyze it in real time then queue up actionable insight for the use inside and outside of the firewall.
C. Organizations are drowning in a sea of data. They know it possesses great value but are unsure how to tap into it. Watson Explorer is a great way to get started with that.
D. Organizations don't know what data they have. Watson Explorer can bring that data back into the Exploration, Archive and Landing Zone, discover the attributes then structure into trusted data.
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: C |
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