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IBM M2020-229 Exam Syllabus Topics:
| Section | Objectives |
| Competitive and Solution Differentiation | - Competitive landscape understanding
- 1. IBM SPSS differentiators vs alternative analytics tools
- 2. Key selling points and positioning strategy
|
| IBM SPSS Predictive Analytics Portfolio Overview | - SPSS product positioning and value proposition
- 1. Overview of IBM SPSS Predictive Analytics solutions
- 2. Business value and use cases in analytics
|
| Sales Enablement and Positioning | - Customer engagement scenarios
- 1. Mapping SPSS capabilities to business problems
- 2. Identifying customer needs for predictive analytics
|
| Industry Applications | - Predictive analytics use cases
- 1. Marketing optimization and segmentation
- 2. Customer churn prediction
- 3. Risk analysis and forecasting
|
IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:
1. What is the main purpose of SPSS Data Collection?
A) To gather feedback from constituents for use in advanced and predictive analytics.
B) To prepare messy data for more accurate modeling.
C) To integrate analytic results into business processes.
D) To retrieve existing data stored from disparate sources.
2. What is NOT a major competitive differentiator in the value proposition of SPSS Decision Management?
A) Centralized analytical content repository
B) Real time scoring service
C) Publishing analytical reports
D) Web-based framework
3. Which statement is true about automated modeling?
A) It is more about data preparation than modeling.
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 creates many models for the user to evaluate the best model in a single step.
4. Which statement is true about SPSS Modeler Premium?
A) It leverages unstructured data only.
B) It leverages structured data only.
C) It addresses all but one of the phases in the CRISP-DM methodology.
D) It requires no programming experience to use.
5. Which two SPSS Data Collection components make up SPSS Data Entry?
A) Author and Reports
B) Author and Interviewer
C) Author and Scan
D) Interviewer and Reports
Solutions:
Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |