Exam DP-100 topic 5 question 25 discussion

Actual exam question from Microsoft's DP-100

Question #: 25
Topic #: 5

You create a binary classification model. The model is registered in an Azure Machine Learning workspace. You use the Azure Machine Learning Fairness SDK to assess the model fairness.
You develop a training script for the model on a local machine.
You need to load the model fairness metrics into Azure Machine Learning studio.
What should you do?

A. Implement the download_dashboard_by_upload_id function
B. Implement the create_group_metric_set function
C. Implement the upload_dashboard_dictionary function
D. Upload the training script

Show Suggested Answer

Suggested Answer: C 🗳️

by NeitherLand at Oct. 20, 2022, 7:10 a.m.

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GHill1982

9 months, 4 weeks ago

Selected Answer: C

To load the model fairness metrics into Azure Machine Learning studio, you should do option C: Implement the upload_dashboard_dictionary function. This function takes a dictionary of fairness insights and uploads it to Azure Machine Learning, where you can see the fairness assessment dashboard. You can also use this function to upload fairness insights for multiple models or mitigated models.

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Yuriy_Ch

1 year, 8 months ago

Exactly this question was on exam 07/March/2023

upvoted 4 times

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JTWang

2 years ago

Selected Answer: C

Correct. Sample Code: from azureml.contrib.fairness import upload_dashboard_dictionary, download_dashboard_by_upload_id https://learn.microsoft.com/zh-tw/azure/machine-learning/how-to-machine-learning-fairness-aml

upvoted 2 times

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NeitherLand

2 years ago

correct