Exam DP-100 topic 4 question 60 discussion

Actual exam question from Microsoft's DP-100

Question #: 60
Topic #: 4

You create an Azure Machine Learning workspace.

You must use the Python SDK v2 to implement an experiment from a Jupyter notebook in the workspace. The experiment must log string metrics.

You need to implement the method to log the string metrics.

Which method should you use?

A. mlflow.log_artifact()
B. mlflow.log.dict()
C. mlflow.log_metric()
D. mlflow.log_text()

Show Suggested Answer

Suggested Answer: D 🗳️

by damaldon at July 7, 2023, 6:39 p.m.

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Ben999

5 months, 2 weeks ago

Selected Answer: A

MLflow is primarily used to log numerical metrics. However, you can log string data as a parameter - mlflow.log_param(), or an artifact if string is too long or to safe as a file - mlfow.log_artifact

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gunn_m

6 months, 3 weeks ago

Selected Answer: C

C is correct, becase D is to Log text in a text file and the question does not tals about text file. Log text in a text file mlflow.log_text("text string", "notes.txt") Text is persisted inside of the run in a text file with name notes.txt. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-log-view-metrics?view=azureml-api-2&tabs=interactive#logging-metrics

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damaldon

1 year, 11 months ago

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

upvoted 2 times

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