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Following are some reference material for actual IBM M2020-229 exam test
| Section | Objectives |
|---|---|
| Topic 1: Sales Methodology for IBM SPSS | - Mapping solutions to business outcomes - Objection handling and value justification - Understanding customer pain points |
| Topic 2: Solution Positioning and Sales Strategy | - Identifying customer use cases for predictive analytics - Value-based selling approach - Positioning IBM SPSS against competing solutions |
| Topic 3: Industry Applications | - Marketing optimization and campaign analytics - Risk management and fraud detection - Customer analytics and segmentation |
| Topic 4: IBM SPSS Predictive Analytics Overview | - Business value of predictive analytics - Core capabilities of SPSS predictive solutions - Introduction to IBM SPSS Predictive Analytics portfolio |
| Topic 5: IBM SPSS Use Cases | - Predictive modeling and forecasting scenarios - Operational decision-making support |
1. 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
2. An enterprise customer wants to generate scores on demand. Which feature in SPSS Collaboration and Deployment Services best meets their needs?
A) Custom dialog publication
B) Job parameters
C) Real time scoring service
D) Message-based notification
3. What is the main purpose of segmentation algorithms in SPSS Modeler?
A) To reduce data to a simpler form.
B) To divide the market or customer base into groups.
C) To discover linked purchases and other occurrences.
D) To prepare a data set for optimal modeling.
4. Which SPSS product best meets the needs of a call center looking to capture feedback on customer satisfaction?
A) SPSS Decision Management
B) SPSS Data Collection
C) SPSS Collaboration and Deployment Services
D) SPSS Statistics
5. Which characteristic of SPSS Modeler appeals more to power data mining experts?
A) Automated modeling
B) SPSS Statistics integration
C) No programming needed
D) Automated data preparation
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |
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