A developer is creating a machine learning (ML) pipeline in AWS Step Functions that contains AWS Lambda functions. The developer has configured an Amazon Simple Queue Service (Amazon SQS) queue to deliver ML model parameters to the ML pipeline to train ML models. The developer uploads the trained models are uploaded to an Amazon S3 bucket.
The developer needs a solution that can locally test the ML pipeline without making service integration calls to Amazon SQS and Amazon S3.
Which solution will meet these requirements?

A. Use the Amazon CodeGuru Profiler to analyze the Lambda functions used in the AWS Step Functions pipeline.

B. Use the AWS Step Functions Local Docker Image to run and locally test the Lambda functions.

C. Use the AWS Serverless Application Model (AWS SAM) CLI to run and locally test the Lambda functions.

D. Use AWS Step Functions Local with mocked service integrations.








 

Suggested Answer: D

Community Answer: D




This question is in DVA-C02 AWS Certified Developer – Associate Exam
For getting AWS Certified Developer – Associate Certificate


Disclaimers:
The website is not related to, affiliated with, endorsed or authorized by Amazon.
Trademarks, certification & product names are used for reference only and belong to Amazon.
The website does not contain actual questions and answers from Amazon's Certification Exam.