Question 1

Drag and Drop Question
You have an Azure Machine Learning workspace that contains a training cluster and an inference cluster.
You plan to create a classification model by using the Azure Machine Learning designer.
You need to ensure that client applications can submit data as HTTP requests and receive predictions as responses.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Question 2


You need to obtain the output from the pipeline execution. Where will you find the output?
  • Question 3

    You manage an Azure Machine Learning workspace named workspace1 and a Data Science Virtual Machine (DSVM) named DSMV1.
    You must an experiment in DSMV1 by using a Jupiter notebook and Python SDK v2 code. You must store metrics and artifacts in workspace 1 You start by creating Python SCK v2 code to import ail required packages.
    You need to implement the Python SOK v2 code to store metrics and article in workspace1.
    Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them the correctly order.

    Question 4

    You are tuning a hyperparameter for an algorithm. The following table shows a data set with different hyperparameter, training error, and validation errors.

    Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.

    Question 5

    You are preparing to use the Azure ML SDK to run an experiment and need to create compute. You run the following 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.