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: Jun 06, 2025

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Question 1

You need to consider the underlined segment to establish whether it is accurate.

To transform a categorical feature into a binary indicator, you should make use of the Clean Missing Data module.

Select `No adjustment required` if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.

A : No adjustment required.

B : Convert to Indicator Values

C : Apply SQL Transformation

D : Group Categorical Values

Answer: B

Question 2

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

Question 3

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 have a Python script named train.py in a local folder named scripts. The script trains a regression model

by using scikit-learn. The script includes code to load a training data file which is also located in the scripts

folder.

You must run the script as an Azure ML experiment on a compute cluster named aml-compute.

You need to configure the run to ensure that the environment includes the required packages for model

training. You have instantiated a variable named aml-compute that references the target compute cluster.

Solution: Run the following code:

Does the solution meet the goal?

A : Yes

B : No

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

This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements. You have been tasked with evaluating your model on a partial data sample via k-fold cross-validation. You have already configured a k parameter as the number of splits. You now have to configure the k parameter for the cross-validation with the usual value choice. Recommendation: You configure the use of the value k=1. Will the requirements be satisfied?

A : Yes

B : No

Answer: B

Page: 1 / 105

Total 525 Questions | Updated On: Jun 06, 2025

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