DP-100 Exam Question 141

You create a binary classification model by using Azure Machine Learning Studio.
You must tune hyperparameters by performing a parameter sweep of the model. The parameter sweep must meet the following requirements:
iterate all possible combinations of hyperparameters
minimize computing resources required to perform the sweep
You need to perform a parameter sweep of the model.
Which parameter sweep mode should you use?
  • DP-100 Exam Question 142

    You deploy a model as an Azure Machine Learning real-time web service using the following code.

    The deployment fails.
    You need to troubleshoot the deployment failure by determining the actions that were performed during deployment and identifying the specific action that failed.
    Which code segment should you run?
  • DP-100 Exam Question 143

    You need to implement source control for scripts in an Azure Machine Learning workspace. You use a terminal window in the Azure Machine Learning Notebook tab You must authenticate your Git account with SSH.
    You need to generate a new SSH key.
    Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them m the correct order.

    DP-100 Exam Question 144

    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 145

    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 a data scientist using Azure Machine Learning Studio.
    You need to normalize values to produce an output column into bins to predict a target column.
    Solution: Apply a Quantiles binning mode with a PQuantile normalization.
    Does the solution meet the goal?