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C2090-930 · Question #7

You are working on a project where the business objective is to increase customer retention. You have completed the Data Preparation stage of the CRISP-DM process model. What is the next stage?

The correct answer is B. Deployment. There appears to be an error in the provided answer key. According to the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework, the correct answer is D. Modeling, not B. The six CRISP-DM stages in order are: 1. Business Understanding 2. Data Understanding 3…

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Question

You are working on a project where the business objective is to increase customer retention. You have completed the Data Preparation stage of the CRISP-DM process model. What is the next stage?

Options

  • AData Understanding
  • BDeployment
  • CEvaluation
  • DModeling

How the community answered

(51 responses)
  • A
    2% (1)
  • B
    92% (47)
  • C
    2% (1)
  • D
    4% (2)

Explanation

There appears to be an error in the provided answer key. According to the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework, the correct answer is D. Modeling, not B.

The six CRISP-DM stages in order are:

  1. Business Understanding
  2. Data Understanding
  3. Data Preparation
  4. Modeling ← next after Data Preparation
  5. Evaluation
  6. Deployment

Why D is correct: After preparing and cleaning the data, you move into Modeling, where you select and apply machine learning or statistical techniques to the prepared dataset to build predictive or descriptive models.

Why the distractors are wrong:

  • A. Data Understanding comes before Data Preparation (stage 2 vs. stage 3) - you've already passed this stage.
  • B. Deployment is the final stage - you can't deploy a model you haven't built yet.
  • C. Evaluation comes after Modeling (stage 5) - you evaluate models before deciding whether to deploy them.

Memory tip: Use the acronym "BU-DU-DP-Mo-Ev-De" - Business, Data-Understand, Data-Prep, Model, Evaluate, Deploy. Think of it as a funnel: understand the problem → understand the data → prepare the data → build the model → evaluate it → deploy it.

Heads up: If this question is from an official exam or study guide, you may want to flag it - the listed correct answer (B) contradicts the standard CRISP-DM sequence.

Topics

#CRISP-DM#stage sequence#Data Preparation stage#process methodology

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