Snowflake Exam DSA-C02 Topic 1 Question 19 Discussion

Actual exam question for Snowflake's DSA-C02 exam

Question #: 19
Topic #: 1

[All DSA-C02 Questions]

You are training a binary classification model to support admission approval decisions for a college degree program.

How can you evaluate if the model is fair, and doesn't discriminate based on ethnicity?

AEvaluate each trained model with a validation dataset and use the model with the highest accuracy score.

BRemove the ethnicity feature from the training dataset.

CCompare disparity between selection rates and performance metrics across ethnicities.

DNone of the above.

Show Suggested Answer

Suggested Answer: C

By using ethnicity as a sensitive field, and comparing disparity between selection rates and performance metrics for each ethnicity value, you can evaluate the fairness of the model.

by Leontine at May 18, 2024, 08:15 AM

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Dwight

6 months ago

Haha, D? Really? That's like saying 'None of the above' to a multiple-choice question on fairness. Good one!

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Serina

5 months ago

Haha, D? Really? That's like saying 'None of the above' to a multiple-choice question on fairness. Good one!

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Shenika

5 months ago

C) Compare disparity between selection rates and performance metrics across ethnicities.

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Gregg

6 months ago

A) Evaluate each trained model with a validation dataset and use the model with the highest accuracy score.

upvoted 0 times

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Osvaldo

6 months ago

B is tempting, but removing the ethnicity feature doesn't solve the problem. You need to actually analyze the model's behavior across different groups.

upvoted 0 times