AWS Certified Developer Associate DVA-C02 Practice Question
A development team is utilizing a serverless architecture for their application. They need to ensure that the application performs optimally during different stages of deployment such as development, testing, and production. The serverless function requires specific configuration data that should change depending on the stage without altering the function's code. Which method facilitates the function's ability to adapt its behavior dynamically in response to the deployment stage?
Configure environmental parameters on the serverless API endpoint that are passed to the serverless function during invocation.
Maintain multiple versions of the serverless function, each tailored to a specific deployment environment.
Implement a file in a cloud storage service that stores the configuration information, which the serverless function checks upon every invocation.
Embed environment-specific code branches within the serverless function, with logic to select the right branch during execution.
Stage variables in a common serverless API service are used to pass environmental parameters to a serverless function, allowing the function to adapt to different deployment stages with the same code. These variables can be set uniquely for each environment and are accessible within the serverless function during execution. This technique aligns with best practices for managing multiple environments and promoting code reusability. Other suggestions would either require code changes for each environment or are not typically used for dynamic environment-specific configuration management.
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What are stage variables in serverless architecture?
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How does passing environmental parameters via API Gateway improve serverless application performance?
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Why are alternative methods like embedding code branches or using cloud storage files less suitable for dynamic configuration management?
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AWS Certified Developer Associate DVA-C02
Deployment
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