AI-900 Practice
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Questions and Answers

For a machine learning progress, how should you split data for training and evaluation?

  • Use labels for training and features for evaluation
  • Use features for training and labels for evaluation
  • Randomly split the data into rows for training and rows for evaluation (correct)
  • Randomly split the data into columns for training and columns for evaluation
  • You build a machine learning model by using the automated machine learning user interface (UI).

    You need to ensure the model meets the Microsoft transparency principal for responsible AI. What should you do?

  • Enable Explain best model (correct)
  • Set Validation type to Auto
  • Set Primary metric to accuracy
  • Set Max concurrent iterations to 0
  • The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft ___ principle for responsible AI.

  • Privacy and security
  • Inclusiveness
  • Reliability and safety (correct)
  • Transparency
  • Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items. Which type of AI workload should the company use?

    <p>Computer vision</p> Signup and view all the answers

    Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

    <p>Regression</p> Signup and view all the answers

    A banking system that predicts whether a loan will be repaid is an example of what type of machine learning?

    <p>Classification</p> Signup and view all the answers

    Which type of AI workload relies on sensors to proactively detect and impending failure of electronic equipment?

    <p>Anomaly detection</p> Signup and view all the answers

    A validation set includes the set of input examples that will be used to train a model.

    <p>False</p> Signup and view all the answers

    Which two actions are performed during the data ingestion and data preparation state of an Azure Machine Learning process?

    1. A. Combine multiple datasets
    2. B. Score test data by using the model
    3. C. Remove records that have missing values
    4. D. Use the model for real-time predictions
    5. E. Calculate the accuracy of the model

    <p>A, C</p> Signup and view all the answers

    In Azure Machine Learning studio, what can you use to author regression machine learning pipelines using a drag-and-drop interface?

    <p>Designer</p> Signup and view all the answers

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