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IBM M2020-229 valid - in .pdf

M2020-229 pdf
  • Exam Code: M2020-229
  • Exam Name: IBM SPSS Predictive Analytics Sales Mastery v1
  • Q & A: 45 Questions and Answers
  • PDF Price: $49.99
  • Free Demo

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  • Exam Code: M2020-229
  • Exam Name: IBM SPSS Predictive Analytics Sales Mastery v1
  • Q & A: 45 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $99.98  $69.99
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IBM M2020-229 valid - Testing Engine

M2020-229 Testing Engine
  • Exam Code: M2020-229
  • Exam Name: IBM SPSS Predictive Analytics Sales Mastery v1
  • Q & A: 45 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

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IBM M2020-229 Exam Syllabus Topics:

SectionObjectives
Topic 1: Competitive and Solution Differentiation- Competitive landscape understanding
  • 1. IBM SPSS differentiators vs alternative analytics tools
    • 2. Key selling points and positioning strategy
      Topic 2: Sales Enablement and Positioning- Customer engagement scenarios
      • 1. Identifying customer needs for predictive analytics
        • 2. Mapping SPSS capabilities to business problems
          Topic 3: 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
              Topic 4: 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:

                    Question #1

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

                    • A. Flexibility of multiple interfaces to key functions.
                    • B. A comprehensive set of data mining tools.
                    • C. Multiple deployment capabilities.
                    • D. Accessibility of mathematical principles.
                    Answer: B
                    Question #2

                    Which step comes directly before modeling in the CRISP-DM methodology?

                    • A. Model evaluation
                    • B. Deployment
                    • C. Data preparation
                    • D. Business understanding
                    Answer: C
                    Question #3

                    A customer wants to optimize their data for simpler, more accurate, and faster models. Which family of algorithms/techniques best meets their needs?

                    • A. Association
                    • B. Reduction
                    • C. Classification
                    • D. Segmentation
                    Answer: C
                    Question #4

                    Which statement is true about SPSS Text Analytics?

                    • A. It requires new users to build categories and dictionaries from scratch before it can be used.
                    • B. It confirms model accuracy.
                    • C. It allows users to import custom rules and categories.
                    • D. It supports over 100 languages.
                    Answer: A
                    Question #5

                    Which SPSS product family is more focused on the Act phase of the predictive analytics process?

                    • A. Statistics
                    • B. Deployment
                    • C. Modeling
                    • D. Data Collection
                    Answer: C

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