IAPP Exam AIGP Topic 1 Question 6 Discussion

Actual exam question for IAPP's AIGP exam

Question #: 6
Topic #: 1

[All AIGP Questions]

Testing data is defined as a subset of data that is used to?

AAssess a model's on-going performance in production.

BEnable a model to discover and learn patterns.

CProvide a robust evaluation of a final model.

DEvaluate a model's handling of randomized edge cases.

Show Suggested Answer

Suggested Answer: C

Testing data is a subset of data used to provide a robust evaluation of a final model. After training the model on training data, it is essential to test its performance on unseen data (testing data) to ensure it generalizes well to new, real-world scenarios. This step helps in assessing the model's accuracy, reliability, and ability to handle various data inputs. Reference: AIGP Body of Knowledge on Model Validation and Testing.

by Ashlee at Jun 22, 2024, 06:56 PM

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Theron

1 years ago

Testing data? More like testing my sanity! But in all seriousness, I'm confident C is the correct answer.

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Anika

12 months ago

I agree with you, C seems like the best choice.

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Kassandra

12 months ago

I'm not so sure, I believe it's A.

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Aja

1 years ago

I think C is the correct answer too.

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Marti

1 years ago

I'm not sure, but I think D could also be a possibility for testing data.

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Alfred

1 years ago

I think A might also be a valid option for testing data.

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Annita

1 years ago

I agree, C is the correct answer for testing data.

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Sue

1 years ago

I think testing data is crucial for evaluating a model's handling of randomized edge cases.

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Elenor

1 years ago

I believe testing data is also important for providing a robust evaluation of a final model.

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Chantell

1 years ago

I agree with Timothy, testing data helps in evaluating how well a model performs in real-world scenarios.

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Kara

1 years ago

Oh man, I always mix up the testing and training data. Let me think this through... Yep, C is the winner!

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Rikki

1 years ago

Tough one! I think I'll go with C. Seems like the most comprehensive answer to me.

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Carman

1 years ago

I think A might also be a good choice, as it assesses the model's performance in production.

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Ena

1 years ago

I agree, C does seem like the most comprehensive option.

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Timothy

1 years ago

I think testing data is used to assess a model's on-going performance in production.

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Billye

1 years ago

I'm going with B. Isn't the training data used to discover patterns, while the testing data evaluates the model's performance?

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Dana

1 years ago

Haha, this question is a classic! C is definitely the right answer. Testing data is used to assess the model's performance, not to train it.

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Titus

1 years ago

Testing data is like a checkpoint to ensure the model is ready for real-world scenarios.

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Marshall

1 years ago

I agree, it's important to have a separate set of data to test the model's performance.

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Mira

1 years ago

Yeah, testing data helps us make sure the model is performing well before deploying it.

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Paris

1 years ago

I think C is the correct answer too. Testing data is crucial for evaluating the final model.

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Gregoria

1 years ago

Hmm, I'm not sure. I was leaning towards D, to evaluate the model's handling of edge cases. But I could be wrong.

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Annamae

1 years ago

I agree, C makes sense for testing data.

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Ammie

1 years ago

I think it's C, to provide a robust evaluation of a final model.

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Freeman

1 years ago

I think the correct answer is C. Provides a robust evaluation of the final model. That's the purpose of a testing dataset, right?

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Roselle

1 years ago

Yes, you're right. Testing data is used to provide a robust evaluation of a final model.

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Joesph

1 years ago

I think the correct answer is C. Provides a robust evaluation of the final model. That's the purpose of a testing dataset, right?

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