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DP-100 Pack
Vendor: Microsoft
Exam Code: DP-100
Exam Name: Designing and Implementing a Data Science Solution on Azure
Exam Questions: 506
Last Updated: August 7, 2026
Related Certifications:
Exam Tags: Intermediate Microsoft Data Scientists and machine learning professionals
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Free Microsoft DP-100 Exam Actual Questions

Question No. 1

You manage an Azure Al Foundry project.

You plan to develop a RAG solution from a set of PDF files. To achieve this, you plan to create a vector index from the dat

a. You need to select the location of the data you plan to index.

Which two data sources can you use? Each correct answer presents a complete solution. Choose two. NOTE: Each correct selection is worth one point.

Show Answer Hide Answer
Correct Answer: A, D

Question No. 2

You create an Azure Machine Learning workspace.

You must use the Python SDK v2 to implement an experiment from a Jupyter notebook in the workspace. The experiment must log string metrics. You need to implement the method to log the string metrics. Which method should you use?

Show Answer Hide Answer
Correct Answer: C

Question No. 3

You are developing a data science workspace that uses an Azure Machine Learning service.

You need to select a compute target to deploy the workspace.

What should you use?

Show Answer Hide Answer
Correct Answer: D

Azure Container Instances can be used as compute target for testing or development. Use for low-scale CPU-based workloads that require less than 48 GB of RAM.


https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-deploy-and-where

Question No. 4

You manage an Azure Machine Learning workspace named projl

You plan to use assets defined in projl to create a pipeline in the Machine Learning studio designer

You need to set the Registry name filter to display only the list of assets defined in projl.

What should you set the Registry name filter to?

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Correct Answer: A

Question No. 5

You create an Azure Machine Learning workspace. The workspace contains a dataset named sample.dataset, a compute instance, and a compute cluster. You must create a two-stage pipeline that will prepare data in the dataset and then train and register a model based on the prepared data. The first stage of the pipeline contains the following code:

You need to identify the location containing the output of the first stage of the script that you can use as input for the second stage. Which storage location should you use?

Show Answer Hide Answer
Correct Answer: C

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