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  • Exam Name: Designing and Implementing a Data Science Solution on Azure
  • Last Update: 18-Apr-2024
  • Questions and Answers: 407
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DP-100 Questions and Answers

Question # 1

You use Azure Machine Learning to train a model.

You must use a sampling method for tuning hyperparameters. The sampling method must pick samples based on how the model performed with previous samples.

You need to select a sampling method.

Which sampling method should you use?

A.

Grid

B.

Bayesian

C.

Random

Question # 2

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 train and register an Azure Machine Learning model.

You plan to deploy the model to an online end point.

You need to ensure that applications will be able to use the authentication method with a non-expiring artifact to access the model.

Solution:

Create a Kubernetes online endpoint and set the value of its auth-mode parameter to amyl Token. Deploy the model to the online endpoint.

Does the solution meet the goal?

A.

Yes

B.

No

Question # 3

You are analyzing a raw dataset that requires cleaning.

You must perform transformations and manipulations by using Azure Machine Learning Studio.

You need to identify the correct modules to perform the transformations.

Which modules should you choose? To answer, drag the appropriate modules to the correct scenarios. Each module may be used once, more than once, or not at all.

You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

DP-100 question answer

Question # 4

You are profiling mltabte data assets by using Azure Machine Learning studio. You need to detect columns with odd or missing values. Which statistic should you analyze?

A.

Profile

B.

Std deviation

C.

Error count

D.

Type

Question # 5

You have a Python script that executes a pipeline. The script includes the following code:

from azureml.core import Experiment

pipeline_run = Experiment(ws, 'pipeline_test').submit(pipeline)

You want to test the pipeline before deploying the script.

You need to display the pipeline run details written to the STDOUT output when the pipeline completes.

Which code segment should you add to the test script?

A.

pipeline_run.get.metrics()

B.

pipeline_run.wait_for_completion(show_output=True)

C.

pipeline_param = PipelineParameter(name="stdout",

default_value="console")

D.

pipeline_run.get_status()

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DP-100 Testimonials

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fr  Michael
posted on 30-Sep-2022
5 Stars

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