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Exam DP-100 topic 5 question 1 discussion

Actual exam question from Microsoft's DP-100
Question #: 1
Topic #: 5
[All DP-100 Questions]

You are a data scientist working for a bank and have used Azure ML to train and register a machine learning model that predicts whether a customer is likely to repay a loan.
You want to understand how your model is making selections and must be sure that the model does not violate government regulations such as denying loans based on where an applicant lives.
You need to determine the extent to which each feature in the customer data is influencing predictions.
What should you do?

  • A. Enable data drift monitoring for the model and its training dataset.
  • B. Score the model against some test data with known label values and use the results to calculate a confusion matrix.
  • C. Use the Hyperdrive library to test the model with multiple hyperparameter values.
  • D. Use the interpretability package to generate an explainer for the model.
  • E. Add tags to the model registration indicating the names of the features in the training dataset.
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️
by Aleem at May 6, 2021, 11:38 a.m.

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Abhiwkudhewhud
Highly Voted 3 years, 4 months ago
explainer gives us exactlt what this question is asking ... we are asked to see if the location is having influence we are given this value after we re ure by getting the sharpley values
upvoted 7 times
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ljljljlj
Highly Voted 3 years, 3 months ago
On exam 2021/7/10
upvoted 7 times
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evangelist
Most Recent 5 months, 2 weeks ago
Explain packages, such as Azure ML's explain package, provide tools to generate interpreters for your models that detail how each feature affects the model's decisions. This can help you understand the model's decision-making process and ensure that the model is not making decisions based on inappropriate characteristics, such as residence. Therefore, this option meets the question requirements.
upvoted 1 times
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pancman
2 years, 6 months ago
Selected Answer: D
Given answer is correct
upvoted 6 times
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synapse
2 years, 7 months ago
Selected Answer: D
azureml.interpret package to get feature importance
upvoted 4 times
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TheCyanideLancer
2 years, 9 months ago
Fairlearn is that package, correct?
upvoted 1 times
synapse
2 years, 7 months ago
No.. this question is about understanding the influence of each feature. it's azureml.interpret package
upvoted 1 times
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Aleem
3 years, 5 months ago
Answer should be to remove location features from the model so that they have zero influence.
upvoted 4 times
Pranav_K
3 years, 4 months ago
Question says "that the model does not violate government regulations such as denying loans based on where an applicant lives." ... means there can be other factors too.. how to determine other factors ? Hence interpretability is right choice.
upvoted 4 times
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allanm
3 years, 5 months ago
While you make an excellent point, this is not one of the options listed for the answer. Please make this explicit in your statement to avoid confusing other readers.
upvoted 16 times
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