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Microsoft DP-100 Exam - Topic 7 Question 52 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 52
Topic #: 7
[All DP-100 Questions]

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?

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Suggested Answer: C

Contribute your Thoughts:

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Shannan
4 months ago
'backfill' sounds like it could be useful, but not for this.
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Carin
4 months ago
Wait, I thought 'get' was for retrieving data, not comparing it?
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Jin
4 months ago
I'm not so sure, isn't 'update' also relevant here?
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Geraldine
5 months ago
Definitely agree, 'run' is the way to go!
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Sina
5 months ago
I think you should use the 'run' method for comparing datasets.
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Salena
5 months ago
I vaguely recall that 'backfill' might be used for historical data, but I don't think it's the right choice for comparing datasets directly.
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Kanisha
5 months ago
I’m leaning towards 'update' since it seems related to keeping the model current, but I could be mixing it up with another concept.
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Tammara
5 months ago
I remember practicing a question where we had to monitor data drift, and I feel like 'get' was involved somehow.
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Lindsey
5 months ago
I think we might need to use the 'run' method to actually execute the comparison, but I'm not entirely sure.
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Earleen
5 months ago
I'm a bit confused by the options here. "Initiative horizon" and "Goals horizon" - what's the difference between those? I'll need to re-read the question and think through the context.
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Mozell
5 months ago
I think the answer is D - the delivery steps for the pilot courses have been aligned to the management stages, which allows the project board to approve the plan before committing resources. This seems like a textbook example of applying the Plans theme effectively to control the project.
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