IAPP Exam AIGP Topic 2 Question 17 Discussion

Actual exam question for IAPP's AIGP exam

Question #: 17
Topic #: 2

[All AIGP Questions]

Training data is best defined as a subset of data that is used to?

AEnable a model to detect and learn patterns.

BFine-tune a model to improve accuracy and prevent overfitting.

CDetect the initial sources of biases to mitigate prior to deployment.

DResemble the structure and statistical properties of production data.

Show Suggested Answer

Suggested Answer: A

Training data is used to enable a model to detect and learn patterns. During the training phase, the model learns from the labeled data, identifying patterns and relationships that it will later use to make predictions on new, unseen data. This process is fundamental in building an AI model's capability to perform tasks accurately. Reference: AIGP Body of Knowledge on Model Training and Pattern Recognition.

by Chuck at Sep 13, 2024, 05:06 PM

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Marion

2 months ago

I'm going with A. Patterns? That's what machine learning is all about, isn't it? Woof!

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Gerry

2 months ago

C is my pick. Gotta detect those biases early on, no matter how ugly they are.

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Veta

2 months ago

Hmm, D seems to be the winner. We want the training data to resemble the real thing.

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Stephanie

23 days ago

D) Resemble the structure and statistical properties of production data.

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Lashon

24 days ago

B) Fine-tune a model to improve accuracy and prevent overfitting.

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Clay

1 months ago

A) Enable a model to detect and learn patterns.

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Nobuko

2 months ago

I think B is the correct answer. Fine-tuning the model is crucial to improve accuracy.

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Jesusa

2 months ago

Option A sounds like the one! Training data is used to teach the model, right?

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Lavonna

2 months ago

I'm just glad they didn't ask about 'test data' - that's where the real fun begins! But for this question, I'd say A is the correct answer.

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Sabra

1 months ago

D) Resemble the structure and statistical properties of production data.

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Kimberely

1 months ago

B) Fine-tune a model to improve accuracy and prevent overfitting.

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Chauncey

1 months ago

A) Enable a model to detect and learn patterns.

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Aleisha

2 months ago

Training data? More like 'training pain' am I right? Anyway, I think A is the way to go.

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Mohammad

2 months ago

I believe training data should resemble the structure and statistical properties of production data to ensure the model performs well in real-world scenarios.

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Britt

2 months ago

I agree with Paz, training data helps the model to generalize and make accurate predictions.

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Julio

2 months ago

Hmm, this is a tricky one. I'm going with B - the training data is used to fine-tune the model and prevent overfitting.

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Elza

1 months ago

I'm not sure, but I think D might be the correct answer. Training data should resemble the structure and statistical properties of production data.

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Jaime

2 months ago

I agree with you, I also think B is the correct answer. Training data is used to fine-tune the model and prevent overfitting.

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Benton

2 months ago

I think A is the correct answer, training data is used to enable a model to detect and learn patterns.

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Kristeen

2 months ago

D seems like it could also be a good answer, since the training data should resemble the production data, right? But A is probably the most direct definition.

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