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Microsoft Exam DP-100 Topic 10 Question 49 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 49
Topic #: 10
[All DP-100 Questions]

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:

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?

Show Suggested Answer Hide Answer
Suggested Answer: A

run.log_list log a list of values to the run with the given name using log_list.

Example: run.log_list('accuracies', [0.6, 0.7, 0.87])

Note:

Data= pd.read_csv('data.csv')

Data is read into a pandas.DataFrame, which is a two-dimensional, size-mutable, potentially heterogeneous tabular data.

label_vals =data['label'].unique

label_vals contains a list of unique label values.


https://www.element61.be/en/resource/azure-machine-learning-services-complete-toolbox-ai

https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run(class)

https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html

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