DP-100 Exam Question 1

You create an Azure Machine Learning compute target named ComputeOne by using the STANDARD_D1 virtual machine image.
You define a Python variable named was that references the Azure Machine Learning workspace. You run the following Python code:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

DP-100 Exam Question 2

You create a training pipeline by using the Azure Machine Learning designer. You need to load data into a machine learning pipeline by using the Import Data component. Which two data sources could you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point
  • DP-100 Exam Question 3

    You must use in Azure Data Science Virtual Machine (DSVM) as a compute target.
    You need to attach an existing DSVM to the workspace by using the Azure Machine Learning SDK for Python.
    How should you complete the following code segment? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.

    DP-100 Exam Question 4

    You have an Azure Machine Learning workspace named workspaces.
    You must add a datastore that connects an Azure Blob storage container to workspaces. You must be able to configure a privilege level.
    You need to configure authentication.
    Which authentication method should you use?
  • DP-100 Exam Question 5

    You are preparing to build a deep learning convolutional neural network model for image classification. You create a script to train the model using CUDA devices.
    You must submit an experiment that runs this script in the Azure Machine Learning workspace.
    The following compute resources are available:
    a Microsoft Surface device on which Microsoft Office has been installed. Corporate IT policies prevent the installation of additional software a Compute Instance named ds-workstation in the workspace with 2 CPUs and 8 GB of memory an Azure Machine Learning compute target named cpu-cluster with eight CPU-based nodes an Azure Machine Learning compute target named gpu-cluster with four CPU and GPU-based nodes You need to specify the compute resources to be used for running the code to submit the experiment, and for running the script in order to minimize model training time.
    Which resources should the data scientist use? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.