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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: Feb 18, 2025
  • Rated: 4.9 |
  • Online Users: 1050
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  • Question 1
    • 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 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?

      Answer: D
  • Question 3
    • You create a batch inference pipeline by using the Azure ML SDK. You configure the pipeline parameters by executing the following code:
      423
      You need to obtain the output from the pipeline execution. Where will you find the output? 

      Answer: B
  • Question 4
    • 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 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 are planning to make use of Azure Machine Learning designer to train models.
      You need choose a suitable compute type.
      Recommendation: You choose Compute cluster.
      Will the requirements be satisfied?

      Answer: A
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