Question 24

Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You plan to use a Python script to run an Azure Machine Learning experiment. The script creates a reference to the experiment run context, loads data from a file, identifies the set of unique values for the label column, and completes the experiment run: https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/Microsoft_DP-100/page_429_img_1.jpg The experiment must record the unique labels in the data as metrics for the run that can be reviewed later. You must add code to the script to record the unique label values as run metrics at the point indicated by the comment. Solution: Replace the comment with the following code: run.log_list('Label Values', label_vals) Does the solution meet the goal?

Accepted Answer

A. Yes

ThoughtfulCandidate3560 · Answer

Train Model → Score Model → Evaluate ModelPretty sure that's the order to get the AUC in Azure ML designer. Not 100% if Score and Evaluate could be flipped but this matches what I've seen in labs.

Arjun · Answer

These "does it meet the goal" questions drive me up the wall, honestly. But I’m fairly certain it’s A here. run.log_list() is meant for storing multiple values per metric, so logging all unique label values this way lets you review them later, exactly as required. If anyone thinks B is better I’d be surprised.

Ajay M. · Answer

Yeah this works, A. The run.log_list method is made for exactly this use case, where you want to log a full list like label values as a metric for later review. Pretty sure that's what the question is getting at.

DP-100 Exam Dumps 2026 – Azure Data Scientist Associate Quiz

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