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Microsoft Updated DP-100 Exam Questions and Answers by bianca

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Microsoft DP-100 Exam Overview :

Exam Name: Designing and Implementing a Data Science Solution on Azure
Exam Code: DP-100 Dumps
Vendor: Microsoft Certification: Microsoft Azure
Questions: 428 Q&A's Shared By: bianca
Question 20

: 214 HOTSPOT

You create a script for training a machine learning model in Azure Machine Learning service.

You create an estimator by running the following code:

Questions 20

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Questions 20

Options:

Discussion
Question 21

You manage an Azure Machine Learning workspace.

You must define the execution environments for your jobs and encapsulate the dependencies for your code.

You need to configure the environment from a Docker build context.

How should you complete the rode segment? To answer, select the appropriate option in the answer area.

NOTE: Each correct selection is worth one point.

Questions 21

Options:

Discussion
Question 22

You use the designer to create a training pipeline for a classification model. The pipeline uses a dataset that includes the features and labels required for model training.

You create a real-time inference pipeline from the training pipeline. You observe that the schema for the generated web service input is based on the dataset and includes the label column that the model predicts. Client applications that use the service must not be required to submit this value.

You need to modify the inference pipeline to meet the requirement.

What should you do?

Options:

A.

Add a Select Columns in Dataset module to the inference pipeline after the dataset and use it to select all columns other than the label.

B.

Delete the dataset from the training pipeline and recreate the real-time inference pipeline.

C.

Delete the Web Service Input module from the inference pipeline.

D.

Replace the dataset in the inference pipeline with an Enter Data Manually module that includes data for the feature columns but not the label column.

Discussion
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Question 23

You are performing feature engineering on a dataset.

You must add a feature named CityName and populate the column value with the text London.

You need to add the new feature to the dataset.

Which Azure Machine Learning Studio module should you use?

Options:

A.

Edit Metadata

B.

Preprocess Text

C.

Execute Python Script

D.

Latent Dirichlet Allocation

Discussion
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