Free AWS MLA-C01 Actual Exam Questions - Question 13 Discussion
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. 
The pipeline should start with the S3 event notification to trigger it, then SageMaker retrains the model using the new data, and finally, it deploys the updated model to the SageMaker endpoint for real-time use.
S3 event notification is definitely the trigger, so that removes the lifecycle rule option. After retraining, deploying to Model Registry makes sense before endpoint deployment, but since only three steps are allowed, I’d pick S3 event, retrain, then deploy to Model Registry.
S3 event triggers pipeline, then retrain, then deploy to Model Registry.
S3 event triggers pipeline, retrain model, then deploy to endpoint sounds complete.
S3 event triggers the pipeline, then retrain, then deploy to Model Registry.
The pipeline should start with the S3 event notification, then retrain the model, and finally deploy to the Model Registry.
S3 event triggers pipeline, retrain model next, then deploy to Model Registry.
The lifecycle rule can't trigger the pipeline, so that step is out. It makes sense to have the S3 event notification start it, then retrain the model with the new data, and finally deploy to the Model Registry before going live.
A, SageMaker retrains the model, then deploys to Model Registry.