Exam DP-100 topic 2 question 57 discussion

Actual exam question from Microsoft's DP-100

Question #: 57
Topic #: 2

You use Azure Machine Learning to train a model based on a dataset named dataset1.
You define a dataset monitor and create a dataset named dataset2 that contains new data.
You need to compare dataset1 and dataset2 by using the Azure Machine Learning SDK for Python.
Which method of the DataDriftDetector class should you use?

A. run
B. get
C. backfill
D. update

Show Suggested Answer

Suggested Answer: C 🗳️

by klowqw at Sept. 2, 2022, 7:38 p.m.

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viineet

1 week ago

Selected Answer: A

option A is correct, given answer is in correct as backfill use to generate report on datadrift in historical dataset over time

upvoted 1 times

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labriji

7 months, 3 weeks ago

Selected Answer: C

given answer is correct, have a look at the code provided in the official doc: https://learn.microsoft.com/en-us/azure/machine-learning/v1/how-to-monitor-datasets?view=azureml-api-1&tabs=python#:~:text=SDK%20documentation.-,Create%20dataset%20monitor,-Create%20a%20dataset

upvoted 4 times

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reddragondms

1 year, 2 months ago

A DataDriftDetector object represents a data drift job definition that can be used to run three job run types: an adhoc run for analyzing a specific day's worth of data; see the run method. a scheduled run in a pipeline; see the enable_schedule method. a backfill run to see how data changes over time; see the backfill method.

upvoted 2 times

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klowqw

1 year, 3 months ago

correct

upvoted 3 times

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