Exam DP-100 topic 4 question 50 discussion

Actual exam question from Microsoft's DP-100

Question #: 50
Topic #: 4

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You create an Azure Machine Learning workspace and install the MLflow library.

You need to log different types of data by using the MLflow library.

Which method should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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Suggested Answer:

by adamcodes716 at April 26, 2023, 11:44 a.m.

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phdykd

1 year, 9 months ago

Log matlotlib plot or image file---mlflow.log_figure(fig, "figure.png") Log numpy metrics or PIL image objects mlflow.log_image(img, "figure.png") Log a boolean value---mlflow.log_metric("my_metric", 0). so given answer is correct!

upvoted 3 times

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adamcodes716

2 years ago

Looks right https://learn.microsoft.com/en-us/azure/machine-learning/how-to-log-view-metrics?view=azureml-api-2&tabs=interactive#logging-images

upvoted 2 times

damaldon

1 year, 9 months ago

According to you link: matlotlib --> log image Boolean --> log metric

upvoted 2 times

Vince_1

8 months ago

Actually, if you really look at the documentation properly you would notice that log_image is for " numpy metrics or PIL image objects" while log_figure is for "matlotlib plot or image file" under the section of Log Images. So, the answer is correct: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-log-view-metrics?view=azureml-api-2&tabs=interactive#log-images

upvoted 1 times

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