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IBM M2090-732 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM SPSS Modeler Sales Mastery Test v1 (M2090-732) |
| Exam Number: | M2090-732 |
| Available Languages: | English |
| Exam Format: | Multiple choice |
| Recommended Training: | IBM SPSS Modeler Training |
| Exam Registration: | IBM Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Official Syllabus URL: | https://www.ibm.com/training/certification |
IBM M2090-732 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Predictive Analytics Fundamentals | - Business value of predictive analytics - Typical analytics workflows |
| Topic 2: Licensing and Packaging | - Licensing considerations - Deployment models |
| Topic 3: IBM SPSS Modeler Overview | - Role in IBM Data & AI portfolio - Core purpose and positioning of SPSS Modeler |
| Topic 4: Use Cases and Industry Applications | - Customer analytics and segmentation - Churn prediction and retention - Fraud detection and risk analysis |
| Topic 5: Sales Positioning and Value Proposition | - Key differentiators versus competitors - ROI and business outcomes messaging |
| Topic 6: Product Capabilities | - Automation and deployment capabilities - Data preparation and transformation features - Model building and evaluation |
IBM M2090-732 Exam Questions Answered
The M2090-732 exam leads to the IBM SPSS Modeler Sales Mastery certification from IBM. It is positioned at the Sales Mastery level. The exam validates the knowledge and skills expected of candidates preparing for IBM SPSS Modeler Sales Mastery Test v1.
You can register through the official channels listed below:
The official training options include:
After reviewing the recommended training, reinforce what you learned with Actual4dump's 44 practice questions for M2090-732.
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The current M2090-732 outline is organized into 6 top-level domains. The first listed areas include:
- Sales Positioning and Value Proposition
- Use Cases and Industry Applications
- Licensing and Packaging
Review the Exam Topics section above for the complete outline and any nested subtopics.
IBM SPSS Modeler Sales Mastery Test v1 Sample Questions:
Question 1
Which is a best practice when nurturing and growing an IBM SPSS Modeler sale?
A. Share the project roadmap and success with LOB execs in other functional areas and brainstorm additional predictive analytics use cases.
B. Focus your activities on IT to have them learn more about how IBM SPSS Modeler works and integrates data sources.
C. Your time is better served finding a new customer opportunity.
D. Trust your contacts will share their IBM SPSS Modeler project success with others in the company and voluntarily introduce you to other predictive initiatives.
Question 2
When an organization is using or interested in R, which of the following statements is true?
A. R can do everything that IBM SPSS Modeler can do.
B. IBM SPSS Modeler and R are incompatible.
C. R has powerful deployment capabilities.
D. IBM SPSS Modeler can use and augment R.
Question 3
Which of the following is NOT a value proposition that would be used when competing against SAS for an opportunity?
A. IBM SPSS Modeler empowers business users with a marketing department gaining IT independence by allowing them to do their own market basket analysis and loyalty models.
B. IBM SPSS Modeler is typically quicker to implement with a large data provider, experiencing a 6 to 1 faster implementation time with SPSS over SAS.
C. IBM SPSS Modeler has more algorithms providing for deeper analytical options. This helps retailers secure 10K additional customers when they use a secret algorithm their competitors couldn't duplicate.
D. IBM SPSS Modeler delivers faster time to value, with a North American insurance company reducing model development time from 18 months to 6 weeks when using SPSS vs. SAS.
Question 4
Which words complete the value proposition for IBM SPSS Modeler Premium?
The differentiating features of IBM SPSS Modeler Premium that can address a wider multitude of business cases and create more accurate models on structured and unstructured data are____________,
____________and _____________.
A. Classification models, Association models, Clustering models
B. Space Time Boxes, Logistic Regression, Automatic Data Preparation
C. Database access, SQL pushback, Integration with IBM SPSS Statistics
D. Text Analytics, Entity Analytics, Social Network Analysis
Question 5
Which statement captures the value proposition for IBM SPSS Modeler?
A. IBM SPSS Modeler is a cloud-based portal for advanced analytics.
B. IBM SPSS Modeler is a comprehensive predictive analytics platform, designed to bring predictive intelligence to decisions made by individuals, groups, and systems.
C. IBM SPSS Modeler is a workbench of algorithms for data scientists and advanced statisticians.
D. IBM SPSS Modeler is a predictive analytics platform used to create reports and dashboards.
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: D | Question 4 Answer: D | Question 5 Answer: B |
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