Exam DP-100 topic 3 question 96 discussion

Actual exam question from Microsoft's DP-100

Question #: 96
Topic #: 3

You use the Azure Machine Learning Python SDK to define a pipeline to train a model.
The data used to train the model is read from a folder in a datastore.
You need to ensure the pipeline runs automatically whenever the data in the folder changes.
What should you do?

A. Set the regenerate_outputs property of the pipeline to True
B. Create a ScheduleRecurrance object with a Frequency of auto. Use the object to create a Schedule for the pipeline
C. Create a PipelineParameter with a default value that references the location where the training data is stored
D. Create a Schedule for the pipeline. Specify the datastore in the datastore property, and the folder containing the training data in the path_on_datastore property

Show Suggested Answer

Suggested Answer: D 🗳️
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-trigger-published-pipeline

by azurecert2021 at July 10, 2021, 3:12 p.m.

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azurecert2021

Highly Voted 3 years, 6 months ago

given answer is correct. To create a file-reactive Schedule, you must set the datastore parameter in the call to Schedule.create. To monitor a folder, set the path_on_datastore argument. The polling_interval argument allows you to specify, in minutes, the frequency at which the datastore is checked for changes. If the pipeline was constructed with a DataPath PipelineParameter, you can set that variable to the name of the changed file by setting the data_path_parameter_name argument.

upvoted 12 times

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evangelist

Most Recent 7 months, 4 weeks ago

Selected Answer: D

Nothing but D triggers automatically training when data changed

upvoted 1 times

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james2033

1 year, 3 months ago

Selected Answer: D

Quote 'To monitor a folder, set the path_on_datastore argument.' at https://learn.microsoft.com/en-us/azure/machine-learning/how-to-trigger-published-pipeline?view=azureml-api-1#create-a-change-based-schedule --> Choose D, where has path_on_datastore

upvoted 1 times

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JTWang

2 years, 3 months ago

Correct. https://learn.microsoft.com/en-us/azure/machine-learning/v1/how-to-trigger-published-pipeline

upvoted 3 times

AzureJobsTillRetire

1 year, 11 months ago

To run a pipeline on a recurring basis, you'll create a schedule. A Schedule associates a pipeline, an experiment, and a trigger. The trigger can either be aScheduleRecurrence that describes the wait between jobs or a Datastore path that specifies a directory to watch for changes.

upvoted 1 times

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