Exam DP-100 topic 4 question 58 discussion

Actual exam question from Microsoft's DP-100

Question #: 58
Topic #: 4

You use the Azure Machine Learning SDK v2 for Python and notebooks to train a model. You use Python code to create a compute target, an environment, and a training script.

You need to prepare information to submit a training job.

Which class should you use?

A. MLClient
B. BuildContext
C. EndpointConnection
D. command

Show Suggested Answer

Suggested Answer: D 🗳️

by damaldon at July 7, 2023, 6:26 p.m.

Comments

Submit Cancel

evangelist

11 months, 2 weeks ago

D is correct

upvoted 1 times

...

deyoz

1 year, 4 months ago

i overlooked word "preparing" and thought to submit. Anyway after the preparation, to submit the for job run, the required class in ml_client. correct answer is command, which is class to prepare or configure a run.

upvoted 1 times

...

phdykd

1 year, 10 months ago

command. To run this script, you'll use a command that executes main.py Python script located under ./sdk/python/jobs/single-step/lightgbm/iris/src/. The command will be run by submitting it as a job to Azure ML.

upvoted 2 times

...

damaldon

1 year, 11 months ago

Correct. #import required libraries from azure.ai.ml import MLClient, command from azure.ai.ml.entities import Environment from azure.identity import DefaultAzureCredential #connect to the workspace ml_client = MLClient.from_config(DefaultAzureCredential()) # set up pytorch environment env = Environment( image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04", conda_file="pytorch-env.yml", name="pytorch-env" ) # define the command command_job = command( code="./src", command="train.py", environment=env, compute="cpu-cluster", ) returned_job = ml_client.jobs.create_or_update(command_job) returned_job

upvoted 2 times

...