Question No 1

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

Choose the Choices:

Describe how to implement the model

Provide talking points to promote or evangelize the project

Emphasize the business benefits of implementing the model

Focus on clean simple - to - understand visuals

Question No 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?

Choose the Choices:

If probability > 0.1, then predict the borrower will default

If probability < 0.1, then predict the borrower will default

If probability > 0.3, then predict the borrower will default

If probability < 0.3, then predict the borrower will default

Question No 3

What are the two data categories that represent qualitative data?

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Question No 4

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

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Null hypothesis is rejected when it is actually false

Null hypothesis is rejected when it is actually true

Null hypothesis is accepted when it is actually false

Null hypothesis is accepted when it is actually true

Question No 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?

Choose the Choices:

Practice Dell EMC D-DS-FN-23 Exam Questions

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