D-DS-FN-23

Review 59 D-DS-FN-23 practice questions with answer explanations and community insights.

Question 1

What is a key consideration when preparing a presentation intended for analysts?

  1. Describe how to implement the model
  2. Provide talking points to promote or evangelize the project
  3. Emphasize the business benefits of implementing the model
  4. Focus on clean simple-to-understand visuals

Question 2

A logistic regression model is built to determine the probability of a credit card borrower defaulting on a credit loan. A threshold value of 0.3 is selected. Which statement can be used to predict a borrower will default?

  1. If probability > 0.1, then predict the borrower will default
  2. If probability < 0.1, then predict the borrower will default
  3. If probability > 0.3, then predict the borrower will default
  4. If probability < 0.3, then predict the borrower will default

Question 3

What are the two data categories that represent qualitative data?

  1. Ordinal and interval
  2. Nominal and ordinal
  3. Ratio and interval
  4. Nominal and ratio

Question 4

In hypothesis testing, when does a Type I error occur?

  1. Null hypothesis is rejected when it is actually false
  2. Null hypothesis is rejected when it is actually true
  3. Null hypothesis is accepted when it is actually false
  4. Null hypothesis is accepted when it is actually true

Question 5

You have been given a task to improve sales force compensation of your organization. As a result of a study, your team decides to classify personnel as follows: Did not meet quota - Met quota - Exceeded 150% of quota - In which data analytics lifecycle phase should you define these categories for analysis purposes?

  1. Model building
  2. Communicate results
  3. Operationalize
  4. Model planning
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