DP-100 Exam Question 6

You are planning to register a trained model in an Azure Machine Learning workspace.
You must store additional metadata about the model in a key-value format. You must be able to add new metadata and modify or delete metadata after creation.
You need to register the model.
Which parameter should you use?
  • DP-100 Exam Question 7

    You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format:
    age,city,income,home_owner
    21,Chicago,50000,0
    35,Seattle,120000,1
    23,Seattle,65000,0
    45,Seattle,130000,1
    18,Chicago,48000,0
    You need to run an experiment in your Azure Machine Learning workspace to explore the data and log the results. The experiment must log the following information:
    the number of observations in the dataset
    a box plot of income by home_owner
    a dictionary containing the city names and the average income for each city You need to use the appropriate logging methods of the experiment's run object to log the required information.
    How should you complete the code? To answer, drag the appropriate code segments to the correct locations.
    Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
    NOTE: Each correct selection is worth one point.

    DP-100 Exam Question 8

    You are evaluating a completed binary classification machine.
    You need to use the precision as the evaluation metric.
    Which visualization should you use?
  • DP-100 Exam Question 9

    You are performing clustering by using the K-means algorithm.
    You need to define the possible termination conditions.
    Which three conditions can you use? Each correct answer presents a complete solution.
    NOTE: Each correct selection is worth one point.
  • DP-100 Exam Question 10

    You create a multi-class image classification deep learning model that uses the PyTorch deep learning framework.
    You must configure Azure Machine Learning Hyperdrive to optimize the hyperparameters for the classification model.
    You need to define a primary metric to determine the hyperparameter values that result in the model with the best accuracy score.
    Which three actions must you perform? Each correct answer presents part of the solution.
    NOTE: Each correct selection is worth one point.