Microsoft DP-100 practice materials Questions Answers

Exam Code:
DP-100
Exam Name:
Designing and Implementing a Data Science Solution on Azure Exam
Last Update:
Jun 01,2026

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Microsoft DP-100 Questions for Microsoft Azure Data Scientist Associate Certification Exam 2026

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Total Questions: 477

Questions & Answers PDF

• Question 1

  

  You manage an Azure Machine Learning workspace. The development environment tor managing the workspace is configured to use Python SDK v2 in Azure Machine Learning Notebooks A Synapse Spark Compute is currently attached and uses system-assigned identity You need to use Python code to update the Synapse Spark Compute 10 use a user-assigned identity.Solution: Configure the IdentityConfiguration class with the appropriate identity type. Does the solution meet the goal?

  • Yes
  • No

  Reveal Answer Answer: A Next Question

• Question 2

  

  You use Azure Machine Learning Studio to build a machine learning experiment.You need to divide data into two distinct datasets.Which module should you use?

  • Partition and Sample
  • Assign Data to Clusters
  • Group Data into Bins
  • Test Hypothesis Using t-Test

  Reveal Answer Answer: A Next Question

• Question 3

  

  You are using Azure Machine Learning to monitor a trained and deployed model. You implement Event Grid to respond to Azure Machine Learning events.Model performance has degraded due to model input data changes.You need to trigger a remediation ML pipeline based on an Azure Machine Learning event.Which event should you use?

  • RunStatusChanged
  • DatasetDriftDetected
  • ModelDeployed
  • RunCompleted

  Reveal Answer Answer: B Next Question

• Question 4

  

  You are building recurrent neural network to perform a binary classification.The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided. You need to identify whether the classification model is over fitted.Which of the following is correct?

  • The training loss increases while the validation loss decreases when training the model.
  • The training loss decreases while the validation loss increases when training the model.
  • The training loss stays constant and the validation loss decreases when training the model.
  • The training loss .stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.

  Reveal Answer Answer: B Next Question

• Question 5

  

  You use the Azure Machine Learning Python SDK to create a batch inference pipeline.You must publish the batch inference pipeline so that business groups in your organization can use the pipeline. Each business group must be able to specify a different location for the data that the pipeline submits to the model for scoring.You need to publish the pipeline.What should you do?

  • Create multiple endpoints for the published pipeline service and have each business group submit jobs to its own endpoint.
  • Define a PipelineParameter object for the pipeline and use it to specify the business group-specific input dataset for each pipeline run.
  • Define a OutputFileDatasetConfig object for the pipeline and use the object to specify the business group-specific input dataset for each pipeline run.
  • Have each business group run the pipeline on local compute and use a local file for the input data.

  Reveal Answer Answer: C Next Question

• Question 6

  

  You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.You have the following data available for model building:Video recordings of sporting eventsTranscripts of radio commentary about eventsLogs from related social media feeds captured during sporting eventsYou need to select an environment for creating the model.Which environment should you use?

  • Azure Cognitive Services
  • Azure Data Lake Analytics
  • Azure HDInsight with Spark MLib
  • Azure Machine Learning Studio

  Reveal Answer Answer: A Next Question

• Question 7

  

  You are performing feature engineering on a dataset.You must add a feature named CityName and populate the column value with the text London.You need to add the new feature to the dataset.Which Azure Machine Learning Studio module should you use?

  • Edit Metadata
  • Preprocess Text
  • Execute Python Script
  • Latent Dirichlet Allocation

  Reveal Answer Answer: A Next Question

• Question 8

  

  You are building a binary classification model by using a supplied training set.The training set is imbalanced between two classes.You need to resolve the data imbalance.What are three possible ways to achieve this goal? Each correct answer presents a complete solution NOTE: Each correct selection is worth one point.

  • Penalize the classification
  • Resample the data set using under sampling or oversampling
  • Generate synthetic samples in the minority class.
  • Use accuracy as the evaluation metric of the model.
  • Normalize the training feature set.

  Reveal Answer Answer: A, B, D Next Question

• Question 9

  

  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.

  • Use the get_metrics() method of the run object to retrieve the experiment run logs.
  • Use the get_details_with_logs() method of the run object to display the experiment run logs.
  • View the log files for the experiment run in the experiment folder.
  • View the logs for the experiment run in Azure Machine Learning studio.
  • Use the get_output() method of the run object to retrieve the experiment run logs.

  Reveal Answer Answer: B, D Next Question

• Question 10

  

  You need to select an environment that will meet the business and data requirements.Which environment should you use?

  • Azure HDInsight with Spark MLlib
  • Azure Cognitive Services
  • Azure Machine Learning Studio
  • Microsoft Machine Learning Server

  Reveal Answer Answer: D Next Question

Page: 1 / 96
Total Questions: 477

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