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Answer: All of the above.
All the options mentioned are effective in managing concurrency and performance for Lambda functions. Increasing memory can improve processing speed, setting reserved concurrency can control the number of concurrent executions, and enabling provisioned concurrency can reduce cold start times, ensuring consistent performance.
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You are configuring an AWS Lambda function to handle a high volume of concurrent requests for a real-time data processing application. Which settings would you adjust to meet the concurrency and performance needs?
A
Increase the memory allocation for the Lambda function.
B
Set a reserved concurrency limit to control the number of concurrent executions.
C
Enable provisioned concurrency to keep instances warm and reduce cold start times.
D
All of the above.
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