Topic 1 Question 84
A company needs to create a central catalog for all the company's ML models. The models are in AWS accounts where the company developed the models initially. The models are hosted in Amazon Elastic Container Registry (Amazon ECR) repositories. Which solution will meet these requirements?
Configure ECR cross-account replication for each existing ECR repository. Ensure that each model is visible in each AWS account.
Create a new AWS account with a new ECR repository as the central catalog. Configure ECR cross-account replication between the initial ECR repositories and the central catalog.
Use the Amazon SageMaker Model Registry to create a model group for models hosted in Amazon ECR. Create a new AWS account. In the new account, use the SageMaker Model Registry as the central catalog. Attach a cross-account resource policy to each model group in the initial AWS accounts.
Use an AWS Glue Data Catalog to store the models. Run an AWS Glue crawler to migrate the models from the ECR repositories to the Data Catalog. Configure cross-account access to the Data Catalog.
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コメント(2)
- 正解だと思う選択肢: C
The question asks for a "central catalog" so I believe metadata, lineage tracking are also "included". ECR could not be the solution.
👍 5GiorgioGss2024/11/28 - 正解だと思う選択肢: B
This approach allows you to centralize all models in a single ECR repository, making it easier to manage and access them across different AWS accounts. Cross-account replication ensures that the models are synchronized between the initial repositories and the central catalog, maintaining consistency and availability.
👍 1a4002bd2024/11/26
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