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Free Microsoft DP-100 Exam Questions

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  • Microsoft DP-100 Exam Questions
  • Provided By: Microsoft
  • Exam: Microsoft Designing and Implementing a Data Science Solution on Azure
  • Certification: Microsoft Azure Data Scientist Associate
  • Total Questions: 525
  • Updated On: Mar 28, 2025
  • Rated: 4.9 |
  • Online Users: 1050
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  • Question 1
    • You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has
      missing values in many columns. The data does not require the application of predictors for each column. You
      plan to use the Clean Missing Data module to handle the missing data.
      You need to select a data cleaning method.
      Which method should you use?

      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?


      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 are creating a model to predict the price of a student’s artwork depending on the following variables: the
      student’s length of education, degree type, and art form.
      You start by creating a linear regression model.
      You need to evaluate the linear regression model.
      Solution: Use the following metrics: Mean Absolute Error, Root Mean Absolute Error, Relative Absolute
      Error, Accuracy, Precision, Recall, F1 score, and AUC.
      Does the solution meet the goal?

      Answer: B
  • Question 4
    • You have an Azure Machine Learning workspace. You are connecting an Azure Data Lake Storage Gen2 account to the workspace as a data store.
      You need to authorize access from the workspace to the Azure Data Lake Storage Gen2 account.
      What should you use?

      Answer: A
  • Question 5
    • You create and register a model in an Azure Machine Learning workspace.
      You must use the Azure Machine Learning SDK to implement a batch inference pipeline that uses a
      ParallelRunStep to score input data using the model. You must specify a value for the ParallelRunConfig
      compute_target setting of the pipeline step.
      You need to create the compute target.
      Which class should you use?

      Answer: C
PAGE: 1 - 105
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