Exam DP-100 topic 4 question 53 discussion

Actual exam question from Microsoft's DP-100

Question #: 53
Topic #: 4

HOTSPOT
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You create an Azure Machine learning workspace. The workspace contains a folder named src. The folder contains a Python script named script1.py.

You use the Azure Machine Learning Python SDK v2 to create a control script. You must use the control script to run script1.py as part of a training job.

You need to complete the section of script that defines the job parameters.

How should you complete the script? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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Suggested Answer:

by damaldon at July 7, 2023, 6:08 p.m.

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MonayiYC

11 months, 3 weeks ago

from azure.ai.ml import command # configure job job = command( code="./src", command="python train.py --training_data diabetes.csv", environment="AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest", compute="aml-cluster", display_name="train-model", experiment_name="train-classification-model" )

upvoted 3 times

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vv_bb

1 year ago

Command + Code https://learn.microsoft.com/en-us/training/modules/run-training-script-command-job-azure-machine-learning/3-run-script-command-job

upvoted 2 times

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damaldon

1 year, 5 months ago

Answers: command and path my_job_inputs = { "input_data": Input( type=AssetTypes.MLTABLE, path=filedataset_asset, mode=InputOutputModes.EVAL_MOUNT

upvoted 2 times

damaldon

1 year, 5 months ago

my_job_inputs = { "input_data": Input( type=AssetTypes.MLTABLE, path=filedataset_asset, mode=InputOutputModes.EVAL_MOUNT ) } job = command( code="./src", # Local path where the code is stored command="ls ${{inputs.input_data}}", inputs=my_job_inputs, environment="<environment_name>:<version>", compute="cpu-cluster",

upvoted 1 times

damaldon

1 year, 5 months ago

Sorry, correct answer: command and code job = command( code="./src", # Local path where the code is stored command="ls ${{inputs.input_data}}", inputs=my_job_inputs, environment="<environment_name>:<version>", compute="cpu-cluster",

upvoted 4 times

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