Sample Questions for AWS' Machine Learning Associate Certification
To pass the AWS Machine Learning Associate exam, utilize sample questions and answers from certificationexams.pro.
Serverless Pattern for Amazon Lookout for Vision
Which serverless pattern enriches each Amazon Lookout for Vision inference with metadata from a DynamoDB table and updates the corresponding item?
- A. AWS Step Functions writing outputs to Amazon S3
- B. AWS Lambda calling Lookout for Vision, reading from DynamoDB, enriching, then updating DynamoDB
- C. Amazon EventBridge triggering AWS Glue ETL to write to DynamoDB
- D. Amazon Kinesis Data Firehose to Amazon Redshift for joins with DynamoDB data
- E. Amazon EC2 polling Lookout for Vision with AWS Batch to push updates to DynamoDB
Distinguishing Amazon Bedrock from Amazon SageMaker JumpStart
Which statement correctly distinguishes Amazon Bedrock from Amazon SageMaker JumpStart for rapid prototyping with minimal setup?
- A. SageMaker JumpStart gives a unified API to multiple third-party foundation models; Amazon Bedrock centers on AWS-only models
- B. (Option not provided)
No distinguishing statement between Amazon Bedrock and Amazon SageMaker JumpStart is fully provided.
Author's summary: Prepare for AWS Machine Learning Associate certification with sample questions.