A data engineer maintains custom Python scripts that perform a data formatting process that many AWS Lambda functions use. When the data engineer needs to modify the Python scripts, the data engineer must manually update all the Lambda functions. The data engineer requires a less manual way to update the Lambda functions. Which solution will meet this requirement?

QuestionsCategory: DEA-C01A data engineer maintains custom Python scripts that perform a data formatting process that many AWS Lambda functions use. When the data engineer needs to modify the Python scripts, the data engineer must manually update all the Lambda functions. The data engineer requires a less manual way to update the Lambda functions. Which solution will meet this requirement?
Admin Staff asked 3 months ago
A data engineer maintains custom Python scripts that perform a data formatting process that many AWS Lambda functions use. When the data engineer needs to modify the Python scripts, the data engineer must manually update all the Lambda functions.
The data engineer requires a less manual way to update the Lambda functions.
Which solution will meet this requirement?

A. Store a pointer to the custom Python scripts in the execution context object in a shared Amazon S3 bucket.

B. Package the custom Python scripts into Lambda layers. Apply the Lambda layers to the Lambda functions.

C. Store a pointer to the custom Python scripts in environment variables in a shared Amazon S3 bucket.

D. Assign the same alias to each Lambda function. Call reach Lambda function by specifying the function's alias.








 

Suggested Answer: C

Community Answer: B




This question is in DEA-C01 AWS Certified Data Analytics – Specialty Exam
For getting AWS Certified Data Analytics – Specialty Certificate


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