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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: Apr 25, 2025
  • Rated: 4.9 |
  • Online Users: 1050
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  • Question 1
    • 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 2
    • You need to consider the underlined segment to establish whether it is accurate.
      To transform a categorical feature into a binary indicator, you should make use of the Clean Missing Data module.
      Select `No adjustment required` if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.

      Answer: B
  • Question 3
    • You are a data scientist creating a linear regression model.
      You need to determine how closely the data fits the regression line.
      Which metric should you review?

      Answer: A
  • Question 4
    • You build a data pipeline in an Azure Machine Learning workspace by using the Azure Machine Learning SDK for Python.

      You need to run a Python script as a pipeline step.

      Which two classes could you use? Each correct answer presents a complete solution.

      NOTE: Each correct selection is worth one point.

      Answer: C,D
  • Question 5
    • 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
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