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Answer: Allocate more reserved concurrency to the Lambda function., Submit a request to raise the service quota for Lambda concurrency limits.
To reduce function throttling in AWS Lambda, the most operationally efficient solutions are: 1. Increase the function’s reserved concurrency (Option C): Reserved concurrency ensures that a specific number of concurrent executions are always available for your function. This prevents the function from being throttled due to high usage of other functions in your account. 2. Request a service quota change for increased concurrency (Option E): Lambda has default service quotas for the maximum number of concurrent executions across all functions in your account. If the function is throttled due to reaching these limits, requesting an increase in the service quota for Lambda concurrency can help mitigate the issue.
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A developer observes increased function throttle metrics for a recently deployed AWS Lambda function in Amazon CloudWatch. Identify two operationally efficient strategies to mitigate this throttling issue.
A
Migrate the Lambda function to Amazon Elastic Kubernetes Service (Amazon EKS).
B
Extend the maximum event age setting within Lambda.
C
Allocate more reserved concurrency to the Lambda function.
D
Authorize the execution role to include the lambda:GetFunctionConcurrency action.
E
Submit a request to raise the service quota for Lambda concurrency limits.