Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 7 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01

Question #: 7
Topic #: 1

[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

HOTSPOT -
A company wants to host an ML model on Amazon SageMaker. An ML engineer is configuring a continuous integration and continuous delivery (Cl/CD) pipeline in AWS CodePipeline to deploy the model. The pipeline must run automatically when new training data for the model is uploaded to an Amazon S3 bucket.
Select and order the pipeline's correct steps from the following list. Each step should be selected one time or not at all. (Select and order three.)
• An S3 event notification invokes the pipeline when new data is uploaded.
• S3 Lifecycle rule invokes the pipeline when new data is uploaded.
• SageMaker retrains the model by using the data in the S3 bucket.
• The pipeline deploys the model to a SageMaker endpoint.
• The pipeline deploys the model to SageMaker Model Registry.

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by 0c2d840 at Jan. 15, 2025, 1:17 p.m.

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djeong95

Highly Voted 4 months ago

1. An S3 event notification invokes the pipeline when new data is uploaded. 2. SageMaker retrains the model by using the data in the S3 bucket. 3. The pipeline deploys the model to a SageMaker endpoint.

upvoted 5 times

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0c2d840

Most Recent 4 months, 3 weeks ago

First two steps are obvious. For the last (third) step, there are two choices. 1. The pipeline deploys the model to a SageMaker endpoint. 2. The pipeline deploys the model to SageMaker Model Registry. Since the question says deploy the model, 1st option is correct. If we add the model to Model Registry, it will be just there in the catalog, but won't get deployed. It needs to be explicitly deployed to the endpoint. So 2 is the correct third step.

upvoted 2 times

chris_spencer

2 months, 3 weeks ago

I suppose you had a typo in "So 2 is the correct third step.". The model should be deployed to an endpoint (not registry): • An S3 event notification invokes the pipeline when new data is uploaded. • SageMaker retrains the model by using the data in the S3 bucket. • The pipeline deploys the model to a SageMaker endpoint.

upvoted 2 times

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