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Answer: Create a Lambda function alias. Modify the client application to use the function alias ARN. Reconfigure the Lambda alias to point to new versions of the function when the company finishes testing.
Option D is the most suitable solution with the least operational overhead. Here's why: 1. **Lambda Function Alias**: - By using a Lambda function alias, you create a named pointer to a specific function version. Aliases are more flexible and powerful compared to using version ARNs directly because you can easily update the alias to point to a new version without changing the function version ARN in the client application. 2. **Simplified Application Updates**: - When the company needs to update the environment variables and publish a new version of the function, they only need to update the alias to point to the new version rather than modifying the client application to invoke a new function version ARN. This greatly reduces the risk of disruptions to users since the function alias ARN remains consistent. 3. **Operational Overhead Reduction**: - By reconfiguring the Lambda alias to point to the new version after testing, the company avoids the need for frequent and potentially disruptive changes to the custom application. The operational overhead is significantly reduced as the process becomes much more streamlined. 4. **Best Practices**: - Using Lambda aliases is a best practice for managing different versions of Lambda functions, enabling seamless updates and rollbacks. This approach aligns with AWS recommended practices for Lambda function versioning and deployment. Thus, using a Lambda function alias provides a robust, less disruptive, and flexible way to manage Lambda function versions and their updates.
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A company gives users the ability to upload images from a custom application. The upload process invokes an AWS Lambda function that processes and stores the image in an Amazon S3 bucket. The application invokes the Lambda function by using a specific function version ARN. The Lambda function accepts image processing parameters by using environment variables. The company often adjusts the environment variables of the Lambda function to achieve optimal image processing output. The company tests different parameters and publishes a new function version with the updated environment variables after validating results. This update process also requires frequent changes to the custom application to invoke the new function version ARN. These changes cause interruptions for users. A solutions architect needs to simplify this process to minimize disruption to users. Which solution will meet these requirements with the LEAST operational overhead?
A
Directly modify the environment variables of the published Lambda function version. Use the SLATEST version to test image processing parameters.
B
Create an Amazon DynamoDB table to store the image processing parameters. Modify the Lambda function to retrieve the image processing parameters from the DynamoDB table.
C
Directly code the image processing parameters within the Lambda function and remove the environment variables. Publish a new function version when the company updates the parameters.
D
Create a Lambda function alias. Modify the client application to use the function alias ARN. Reconfigure the Lambda alias to point to new versions of the function when the company finishes testing.