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Microsoft Updated DP-100 Exam Questions and Answers by coby

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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: coby
Question 40

You create an Azure Machine Learning compute resource to train models. The compute resource is configured as follows:

    Minimum nodes: 2

    Maximum nodes: 4

You must decrease the minimum number of nodes and increase the maximum number of nodes to the following values:

    Minimum nodes: 0

    Maximum nodes: 8

You need to reconfigure the compute resource.

What are three possible ways to achieve this goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

Azure Machine Learning designer

B.

Azure CLI ml extension v2

C.

Azure Machine Learning studio

D.

BuildContext class in Python SDK v2

E.

MLCIient class in Python SDK v2

Discussion
Question 41

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 are a data scientist using Azure Machine Learning Studio.

You need to normalize values to produce an output column into bins to predict a target column.

Solution: Apply a Quantiles binning mode with a PQuantile normalization.

Does the solution meet the goal?

Options:

A.

Yes

B.

No

Discussion
Marley
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Ayesha
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Question 42

You are building a binary classification model by using a supplied training set.

The training set is imbalanced between two classes.

You need to resolve the data imbalance.

What are three possible ways to achieve this goal? Each correct answer presents a complete solution NOTE: Each correct selection is worth one point.

Options:

A.

Penalize the classification

B.

Resample the data set using under sampling or oversampling

C.

Generate synthetic samples in the minority class.

D.

Use accuracy as the evaluation metric of the model.

E.

Normalize the training feature set.

Discussion
Question 43

You create an Azure Machine Learning model to include model files and a scorning script. You must deploy the model. The deployment solution must meet the following requirements:

• Provide near real-time inferencing.

• Enable endpoint and deployment level cost estimates.

• Support logging to Azure Log Analytics.

You need to configure the deployment solution.

What should you configure? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Questions 43

Options:

Discussion
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