Exam Name: IBM SPSS Predictive Analytics Sales Mastery v1
Certification Provider: IBM
Corresponding Certification: Sales Mastery
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- Total Questions: 45
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IBM M2020-229 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Sales and Solution Selling | 25% | - Customer use cases and pain points - Competitive differentiation - Solution alignment to business needs |
| Licensing and Implementation | 15% | - Licensing models and editions - Deployment and integration basics |
| IBM SPSS Predictive Analytics Overview | 25% | - Value proposition and business benefits - Market positioning and target industries |
| SPSS Product Portfolio | 35% | - SPSS Modeler - SPSS Data Collection - SPSS Statistics - SPSS Decision Management - SPSS Collaboration and Deployment Services |
IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:
Which SPSS product best meets the needs of a customer looking to automate model building or share and protect analytical assets?
- A. SPSS Data Collection
- B. SPSS Modeler
- C. SPSS Collaboration and Deployment Services
- D. SPSS Statistics
Correct Answer: C 🗳️
Which statement is true about SPSS Text Analytics?
- A. It supports over 100 languages.
- B. It requires new users to build categories and dictionaries from scratch before it can be used.
- C. It allows users to import custom rules and categories.
- D. It confirms model accuracy.
Correct Answer: B 🗳️
What is the major advantage of SPSS Modeler over SAS Base and Enterprise Miner?
- A. Structured data mining capabilities.
- B. Support for multiple operating systems.
- C. More powerful in the hands of a modeling expert.
- D. Easy to use interface for business-oriented analysts.
Correct Answer: D 🗳️
A customer wants to optimize their data for simpler, more accurate, and faster models. Which family of algorithms/techniques best meets their needs?
- A. Classification
- B. Segmentation
- C. Reduction
- D. Association
Correct Answer: A 🗳️
Which statement is true about automated modeling?
- A. It creates many models for the user to evaluate the best model in a single step.
- B. It is a specific type of algorithm that makes data simpler.
- C. It automates the whole data mining process from data access through deployment.
- D. It is more about data preparation than modeling.
Correct Answer: B 🗳️
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