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IBM M2020-229 exam : IBM SPSS Predictive Analytics Sales Mastery v1

M2020-229 Exam Questions
  • Exam Code: M2020-229
  • Exam Name: IBM SPSS Predictive Analytics Sales Mastery v1
  • Updated: Aug 15, 2026
  • Q & A: 45 Questions and Answers
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IBM M2020-229 Exam Syllabus Topics:

SectionObjectives
IBM SPSS Predictive Analytics Portfolio Overview- SPSS product positioning and value proposition
  • 1. Business value and use cases in analytics
    • 2. Overview of IBM SPSS Predictive Analytics solutions
      Competitive and Solution Differentiation- Competitive landscape understanding
      • 1. Key selling points and positioning strategy
        • 2. IBM SPSS differentiators vs alternative analytics tools
          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. Risk analysis and forecasting
                • 2. Customer churn prediction
                  • 3. Marketing optimization and segmentation

                    IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:

                    1. Which type of model in SPSS Modeler is BEST suited for making categorical predictions of future outcomes?

                    A) Classification
                    B) Association
                    C) Anomaly detection
                    D) Segmentation


                    2. What is NOT a key benefit of SPSS Statistics based on product feature/functionality?

                    A) Accessibility of mathematical principles.
                    B) Flexibility of multiple interfaces to key functions.
                    C) A comprehensive set of data mining tools.
                    D) Multiple deployment capabilities.


                    3. Which question is most appropriate to ask when selling SPSS Data Collection?

                    A) How consistent is your decision making?
                    B) Do you have projects where knowing what your customers thought would impact your decisions?
                    C) How do you currently deploy your analytics results?
                    D) Are you able to analyze individual transactions to identify purchase patterns?


                    4. Which statement is true about SPSS Text Analytics?

                    A) It confirms model accuracy.
                    B) It supports over 100 languages.
                    C) It allows users to import custom rules and categories.
                    D) It requires new users to build categories and dictionaries from scratch before it can be used.


                    5. Which SPSS capability is best suited for a retailer looking to discover the most effective product combinations?

                    A) Predictive Maintenance
                    B) Campaign Insight and Offer Optimization
                    C) Customer Retention and Growth
                    D) Market Basket Analysis


                    Solutions:

                    Question # 1
                    Answer: A
                    Question # 2
                    Answer: C
                    Question # 3
                    Answer: B
                    Question # 4
                    Answer: D
                    Question # 5
                    Answer: D

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