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Microsoft Updated DP-100 Exam Questions and Answers by greyson

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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: 525 Q&A's Shared By: greyson
Question 32

You are building a machine learning model for translating English language textual content into French

language textual content.

You need to build and train the machine learning model to learn the sequence of the textual content.

Which type of neural network should you use?

Options:

A.

Multilayer Perceptions (MLPs)

B.

Convolutional Neural Networks (CNNs)

C.

Recurrent Neural Networks (RNNs)

D.

Generative Adversarial Networks (GANs)

Discussion
Question 33

You manage an Azure Al Foundry project.

You plan to fine-tune a base model by using pre-uploaded training and validation data. You must specify a hyperparameter to ensure the job is reproducible.

You need to submit the fine-tuning training job.

How should you complete the Python code segment? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Questions 33

Options:

Discussion
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Damian Apr 6, 2026
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Question 34

You manage an Azure Machine Learning workspace. You develop a regression model training pipeline by using Notebooks. You need to determine the appropriate evaluation metric for the experiment.

Which two metrics should you choose? Each correct answer presents a complete solution. Choose two. NOTE: Each correct selection is worth one point.

Options:

A.

precision

B.

correlation

C.

recall

D.

residuals

Discussion
Question 35

You create a new Azure Machine Learning workspace with a compute cluster.

You need to create the compute cluster asynchronously by using the Azure Machine Learning Python SDK v2.

How should you complete the code segment? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point

Questions 35

Options:

Discussion
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