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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 29 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 29
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

A company that has hundreds of data scientists is using Amazon SageMaker to create ML models. The models are in model groups in the SageMaker Model Registry.
The data scientists are grouped into three categories: computer vision, natural language processing (NLP), and speech recognition. An ML engineer needs to implement a solution to organize the existing models into these groups to improve model discoverability at scale. The solution must not affect the integrity of the model artifacts and their existing groupings.
Which solution will meet these requirements?

  • A. Create a custom tag for each of the three categories. Add the tags to the model packages in the SageMaker Model Registry.
  • B. Create a model group for each category. Move the existing models into these category model groups.
  • C. Use SageMaker ML Lineage Tracking to automatically identify and tag which model groups should contain the models.
  • D. Create a Model Registry collection for each of the three categories. Move the existing model groups into the collections.
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Suggested Answer: D 🗳️
by a4002bd at Nov. 27, 2024, 3:17 a.m.
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abrarjahin
1 month, 2 weeks ago
Selected Answer: D
Because according to the documentation - "Any operation you perform on your Collections does not affect the integrity of the individual Model Groups they contain—the underlying Model Group artifacts in Amazon S3 and Amazon ECR are not modified."
upvoted 1 times
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Saransundar
3 months ago
Selected Answer: D
Option-D Any operation you perform on your Collections does not affect the integrity of the individual Model Groups they contain—the underlying Model Group artifacts in Amazon S3 and Amazon ECR are not modified.
upvoted 1 times
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Linux_master
3 months, 1 week ago
Selected Answer: D
https://docs.aws.amazon.com/sagemaker/latest/dg/modelcollections.html
upvoted 2 times
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GiorgioGss
3 months, 1 week ago
Selected Answer: D
A could also be a valid option but in here we see exactly this: https://docs.aws.amazon.com/sagemaker/latest/dg/modelcollections.html "Any operation you perform on your Collections does not affect the integrity of the individual Model Groups they contain—the underlying Model Group artifacts in Amazon S3 and Amazon ECR are not modified."
upvoted 1 times
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a4002bd
3 months, 1 week ago
Selected Answer: D
I pick D. Creating custom tags for each of the three categories and adding them to the model packages in the SageMaker Model Registry (Option A) is a valid approach. However, it might not be as effective for organizing models at scale compared to using Model Registry collections.
upvoted 1 times
helloworldabc
3 months, 1 week ago
just A
upvoted 1 times
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