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DP-100 Exam Questions Tutorials

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Question 24

You create an Azure Machine Learning workspace and a new Azure DevOps organization. You register a model in the workspace and deploy the model to the target environment.

All new versions of the model registered in the workspace must automatically be deployed to the target environment.

You need to configure Azure Pipelines to deploy the model.

Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Options:

Question 25

You are analyzing a dataset by using Azure Machine Learning Studio.

YOU need to generate a statistical summary that contains the p value and the unique value count for each feature column.

Which two modules can you users? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

Execute Python Script

B.

Export Count Table

C.

Convert to Indicator Values

D.

Summarize Data

E.

Compute linear Correlation

Question 26

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You create a model to forecast weather conditions based on historical data.

You need to create a pipeline that runs a processing script to load data from a datastore and pass the processed data to a machine learning model training script.

Solution: Run the following code:

Does the solution meet the goal?

Options:

A.

Yes

B.

No

Question 27

You are solving a classification task.

The dataset is imbalanced.

You need to select an Azure Machine Learning Studio module to improve the classification accuracy.

Which module should you use?

Options:

A.

Fisher Linear Discriminant Analysis.

B.

Filter Based Feature Selection

C.

Synthetic Minority Oversampling Technique (SMOTE)

D.

Permutation Feature Importance

Page: 6 / 14
Exam Code: DP-100
Exam Name: Designing and Implementing a Data Science Solution on Azure
Last Update: Nov 22, 2024
Questions: 428
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