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Exam DP-100 topic 4 question 64 discussion

Actual exam question from Microsoft's DP-100
Question #: 64
Topic #: 4
[All DP-100 Questions]

DRAG DROP
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You create a multi-class image classification deep learning model.

The model must be retrained monthly with the new image data fetched from a public web portal. You create an Azure Machine Learning pipeline to fetch new data, standardize the size of images, and retrain the model.

You need to use the Azure Machine Learning Python SDK v2 to configure the schedule for the pipeline. The schedule should be defined by using the frequency and interval properties, with frequency set to “month" and interval set to "1".

Which three classes should you instantiate in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

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damaldon
Highly Voted 1 year, 9 months ago
Correct. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-schedule-pipeline-job?view=azureml-api-2&tabs=python#schedule-a-pipeline-job
upvoted 5 times
gunn_m
5 months ago
Couldn't I do this using cron?
upvoted 1 times
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sl_mslconsulting
Most Recent 11 months ago
The link provided by damaldon tells everything you need to know. Click on the studio UI table and you will see everything become clearer. When you have a pipeline job with satisfying performance and outputs, you can set up a schedule to automatically trigger this job on a regular basis...
upvoted 1 times
sl_mslconsulting
11 months ago
*tab not table
upvoted 1 times
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haby
1 year, 4 months ago
A B - This is a wired answer, it is a pipeline trigger, but doesn't have "frequency and interval" parameters, it uses Cron expression. I will take this one only coz question says 3 answers. E I didn't find any docs showing Pipeline is available as a trigger. https://learn.microsoft.com/en-us/python/api/azure-ai-ml/azure.ai.ml.entities.pipelinejob?view=azure-python
upvoted 1 times
haby
1 year, 4 months ago
Pipeline Job is not a Obj, it's a schema in json, answer should be D-E-A.
upvoted 2 times
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