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Free Microsoft DP-100 Exam Questions

Absolute Free DP-100 Exam Practice for Comprehensive Preparation 

  • 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: May 11, 2025
  • Rated: 4.9 |
  • Online Users: 1050
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  • Question 1
    • You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples
      with Class B
      The variation of Class B is very high.
      You need to resolve imbalances.
      Which method should you use?

      Answer: D
  • Question 2
    • 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 create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:
      ✑ /data/2018/Q1.csv
      ✑ /data/2018/Q2.csv
      ✑ /data/2018/Q3.csv
      ✑ /data/2018/Q4.csv
      ✑ /data/2019/Q1.csv
      All files store data in the following format:
      id,f1,f2,I
      1,1,2,0
      2,1,1,1
      3,2,1,0
      4,2,2,1
      You run the following code:
      0022100006
      You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:
      0022100006
      Solution: Run the following code:
      0022300003
      Does the solution meet the goal?

      Answer: A
  • Question 3
    • 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 4
    • You plan to deliver a hands-on workshop to several students. The workshop will focus on creating data
      visualizations using Python. Each student will use a device that has internet access.
      Student devices are not configured for Python development. Students do not have administrator access to
      install software on their devices. Azure subscriptions are not available for students.
      You need to ensure that students can run Python-based data visualization code.
      Which Azure tool should you use?

      Answer: C
  • Question 5
    • You create a pipeline in designer to train a model that predicts automobile prices.
      Because of non-linear relationships in the data, the pipeline calculates the natural log (Ln) of the prices in the
      training data, trains a model to predict this natural log of price value, and then calculates the exponential of the
      scored label to get the predicted price.
      The training pipeline is shown in the exhibit. (Click the Training pipeline tab.)
      Training pipeline
      59
      You create a real-time inference pipeline from the training pipeline, as shown in the exhibit. (Click the
      Real-time pipeline tab.)
      Real-time pipeline
      60
      You need to modify the inference pipeline to ensure that the web service returns the exponential of the scored
      label as the predicted automobile price and that client applications are not required to include a price value in
      the input values.
      Which three modifications must you make to the inference pipeline? Each correct answer presents part of the
      solution.
      NOTE: Each correct selection is worth one point.

      Answer: A,C,E
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