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Amazon Exam AIF-C01 Topic 1 Question 19 Discussion

Actual exam question for Amazon's AIF-C01 exam
Question #: 19
Topic #: 1
[All AIF-C01 Questions]

Which AWS feature records details about ML instance data for governance and reporting?

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Suggested Answer: A

Amazon SageMaker Model Cards provide a centralized and standardized repository for documenting machine learning models. They capture key details such as the model's intended use, training and evaluation datasets, performance metrics, ethical considerations, and other relevant information. This documentation facilitates governance and reporting by ensuring that all stakeholders have access to consistent and comprehensive information about each model. While Amazon SageMaker Debugger is used for real-time debugging and monitoring during training, and Amazon SageMaker Model Monitor tracks deployed models for data and prediction quality, neither offers the comprehensive documentation capabilities of Model Cards. Amazon SageMaker JumpStart provides pre-built models and solutions but does not focus on governance documentation.


Contribute your Thoughts:

Caprice
2 months ago
Is there an option for 'Amazon SageMaker Model Shredder'? That's the one I always use when my models don't perform as expected.
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Ettie
2 months ago
I thought it was Amazon SageMaker Snoozer, where you just take a nap while the model trains itself. Oh well, C it is.
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Pilar
22 days ago
Let's go with C) Amazon SageMaker Model Monitor then.
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Anabel
24 days ago
I thought it was Amazon SageMaker Snoozer too, but C) is the correct answer.
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Kenneth
26 days ago
Yeah, I agree. It keeps track of the data for governance and reporting.
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Tula
1 months ago
I think it's C) Amazon SageMaker Model Monitor.
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Carri
2 months ago
D) Amazon SageMaker JumpStart? Nah, that's for model deployment, not monitoring. I'm going with C.
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Lucina
26 days ago
So, C) Amazon SageMaker Model Monitor it is then.
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Joesph
27 days ago
Definitely not D) Amazon SageMaker JumpStart, that's for model deployment.
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Stephania
28 days ago
Yeah, I agree. It's specifically for recording details about ML instance data.
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Selma
29 days ago
I think C) Amazon SageMaker Model Monitor is the right choice.
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Marya
2 months ago
I'm not sure, but I think it's A) Amazon SageMaker Model Cards.
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Jennifer
2 months ago
I agree with Donte, because Model Monitor helps track data for governance.
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Verdell
2 months ago
Definitely C) Amazon SageMaker Model Monitor. That's the feature designed for governance and reporting, I remember that from the training.
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Donte
2 months ago
I think the answer is C) Amazon SageMaker Model Monitor.
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Laticia
3 months ago
Hmm, I'm leaning towards B) Amazon SageMaker Debugger. Doesn't that help you debug and monitor your model during training?
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Mee
1 months ago
Yes, that's correct. It's important for governance and reporting purposes.
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Shawnda
1 months ago
Oh, I see. So C) Amazon SageMaker Model Monitor is the one I should go for then.
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Rosalind
1 months ago
C) Amazon SageMaker Model Monitor actually records details about ML instance data for governance and reporting.
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Tammy
2 months ago
A) Amazon SageMaker Debugger is great for monitoring and debugging during training.
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Brittney
3 months ago
I'm pretty sure it's C) Amazon SageMaker Model Monitor. That's the feature that tracks the data and model performance, right?
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Claudio
2 months ago
That's right! Amazon SageMaker Model Monitor tracks the data and model performance for governance and reporting purposes.
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Nu
3 months ago
Yes, you're correct! Amazon SageMaker Model Monitor is the feature that records details about ML instance data for governance and reporting.
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