DP-100 Exam Question 51

You create an Azure Machine learning workspace.
You are use the Azure Machine -learning Python SDK v2 to define the search space for concrete hyperparafneters. The hyper parameters must consist of a list of predetermined, comma-separated.
You need to import the class from the azure ai ml. sweep package used to create the list of values.
Which class should you import?
  • DP-100 Exam Question 52

    You manage an Azure Al Foundry project.
    You deploy a large language model from the model catalog.
    You need to manually evaluate the model, collect the statistics, and be able to review the results later.

    DP-100 Exam Question 53

    You use Azure Machine Learning designer to create a real-time service endpoint. You have a single Azure Machine Learning service compute resource. You train the model and prepare the real-time pipeline for deployment You need to publish the inference pipeline as a web service. Which compute type should you use?
  • DP-100 Exam Question 54

    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 use Azure Machine Learning designer to load the following datasets into an experiment:

    You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.
    Solution: Use the Add Rows module.
    Does the solution meet the goal?
  • DP-100 Exam Question 55

    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.
    An IT department creates the following Azure resource groups and resources:

    The IT department creates an Azure Kubernetes Service (AKS)-based inference compute target named aks- cluster in the Azure Machine Learning workspace.
    You have a Microsoft Surface Book computer with a GPU. Python 3.6 and Visual Studio Code are installed.
    You need to run a script that trains a deep neural network (DNN) model and logs the loss and accuracy metrics.
    Solution: Install the Azure ML SDK on the Surface Book. Run Python code to connect to the workspace and then run the training script as an experiment on local compute.