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Amazon Web Services AWS Certified Machine Learning Engineer - Associate MLA-C01 Question # 10 Topic 2 Discussion

Amazon Web Services AWS Certified Machine Learning Engineer - Associate MLA-C01 Question # 10 Topic 2 Discussion

MLA-C01 Exam Topic 2 Question 10 Discussion:
Question #: 10
Topic #: 2

An ML engineer wants to re-train an XGBoost model at the end of each month. A data team prepares the training data. The training dataset is a few hundred megabytes in size. When the data is ready, the data team stores the data as a new file in an Amazon S3 bucket.

The ML engineer needs a solution to automate this pipeline. The solution must register the new model version in Amazon SageMaker Model Registry within 24 hours.

Which solution will meet these requirements?


A.

Create an AWS Lambda function that runs one time each week to poll the S3 bucket for new files. Invoke the Lambda function asynchronously. Configure the Lambda function to start the pipeline if the function detects new data.


B.

Create an Amazon CloudWatch rule that runs on a schedule to start the pipeline every 30 days.


C.

Create an S3 Lifecycle rule to start the pipeline every time a new object is uploaded to the S3 bucket.


D.

Create an Amazon EventBridge rule to start an AWS Step Functions TrainingStep every time a new object is uploaded to the S3 bucket.


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