Free Practice Microsoft DP-100 Exam Questions 2025

Stay ahead with 100% Free Microsoft Designing and Implementing a Data Science Solution on Azure DP-100 Dumps Practice Questions

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Total 525 Questions | Updated On: Mar 28, 2025

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Question 1

You create a workspace to include a compute instance by using Azure Machine Learning Studio. You are developing a Python SDK v2 notebook in the workspace.

You need to use Intellisense in the notebook.

What should you do?

A : Stop the compute instance.

B : Start the compute instance.

C : Run a %pip magic function on the compute instance.

D : Run a !pip magic function on the compute instance.

Answer: C

Question 2

You have an Azure Machine Learning workspace.

You plan to tune a model hyperparameter when you train the model.

You need to define a search space that returns a normally distributed value.

Which parameter should you use?

A : QUniform

B : LogUniform

C : Uniform

D : LogNormal

Answer: D

Question 3

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()

Answer: B

Question 4

You create a pipeline in designer to train a model that predicts automobile prices.

Because of non-linear relationships in the data, the pipeline calculates the natural log (Ln) of the prices in the

training data, trains a model to predict this natural log of price value, and then calculates the exponential of the

scored label to get the predicted price.

The training pipeline is shown in the exhibit. (Click the Training pipeline tab.)

Training pipeline

You create a real-time inference pipeline from the training pipeline, as shown in the exhibit. (Click the

Real-time pipeline tab.)

Real-time pipeline

You need to modify the inference pipeline to ensure that the web service returns the exponential of the scored

label as the predicted automobile price and that client applications are not required to include a price value in

the input values.

Which three modifications must you make to the inference pipeline? Each correct answer presents part of the

solution.

NOTE: Each correct selection is worth one point.

A : Connect the output of the Apply SQL Transformation to the Web Service Output module.

B : Replace the Web Service Input module with a data input that does not include the price column.

C : Add a Select Columns module before the Score Model module to select all columns other than price.

D : Replace the training dataset module with a data input that does not include the price column.

E : Remove the Apply Math Operation module that replaces price with its natural log from the data flow.

F : Remove the Apply SQL Transformation module from the data flow.

Answer: A,C

Question 5

You need to select an environment that will meet the business and data requirements.

Which environment should you use?

A : Azure HDInsight with Spark MLlib

B : Azure Cognitive Services

C : Azure Machine Learning Studio

D : Microsoft Machine Learning Server

Answer: D

Page: 1 / 105

Total 525 Questions | Updated On: Mar 28, 2025

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