Free Microsoft DP-100 Exam Questions

Become Microsoft Certified with updated DP-100 exam questions and correct answers

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Total 511 Questions | Updated On: Feb 19, 2026

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Question 1

You use Azure Machine Learning Designer to load the following datasets into an experiment: Dataset1You use Azure Machine Learning Designer to load the following datasets into an experiment: You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets. Solution: Use the Join Data component. Does the solution meet the goal?

A : Yes

B : No

Answer: B

Question 2

You are a data scientist working for a hotel booking website company. You use the Azure Machine Learning

service to train a model that identifies fraudulent transactions.

You must deploy the model as an Azure Machine Learning real-time web service using the Model.deploy

method in the Azure Machine Learning SDK. The deployed web service must return real-time predictions of

fraud based on transaction data input.

You need to create the script that is specified as the entry_script parameter for the InferenceConfig class used

to deploy the model.

What should the entry script do?

A : art a node on the inference cluster where the web service is deployed.

B : gister the model with appropriate tags and properties.

C : eate a Conda environment for the web service compute and install the necessary Python packages.

D : ad the model and use it to predict labels from input data.

E : ecify the number of cores and the amount of memory required for the inference compute.

Answer: D

Question 3

You plan to run a Python script as an Azure Machine Learning experiment. The script must read files from a hierarchy of folders. The files will be passed to the script as a dataset argument. You must specify an appropriate mode for the dataset argument. Which two modes can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

A : to_pandas_dataframe ()

B : as_download()

C : as_upload()

D : as mount ()

Answer: B

Question 4

You use the Azure Machine Learning SDK in a notebook to run an experiment using a script file in an experiment folder. The experiment fails. You need to troubleshoot the failed experiment. What are two possible ways to achieve this goal? Each correct answer presents a complete solution.

A : Use the get_metrics() method of the run object to retrieve the experiment run logs.

B : Use the get_details_with_logs() method of the run object to display the experiment run logs.

C : View the log files for the experiment run in the experiment folder.

D : View the logs for the experiment run in Azure Machine Learning studio.

E : Use the get_output() method of the run object to retrieve the experiment run logs.

Answer: B,D

Question 5

You use the following Python code in a notebook to deploy a model as a web service:The deployment fails. You need to use the Python SDK in the notebook to determine the events that occurred during service deployment an initialization. Which code segment should you use?

A : service.state

B : service.environment

C : service.get_logs()

D : Service.serialize

Answer: C

Page: 1 / 103

Total 511 Questions | Updated On: Feb 19, 2026

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