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Answer: Configure reserved concurrency for the Lambda function.
Option C is CORRECT because configuring **reserved concurrency** for the Lambda function guarantees that a set number of concurrent executions are always available for that function. This isolates the function from others in the same account that might otherwise consume all available concurrency, resulting in throttling. Reserved concurrency ensures predictable performance during spikes and is more cost-effective than provisioned concurrency because you're not pre-warming the environment but only isolating concurrency limits.
Author: Ritesh Yadav
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Question 56/60
A company has an application that uses an Amazon API Gateway REST API and an AWS Lambda function to retrieve data from an Amazon DynamoDB instance. Users recently reported intermittent high latency in the application's response times. A data engineer finds that the Lambda function experiences frequent throttling when the company's other Lambda functions experience increased invocations.
The company wants to ensure the API's Lambda function operate without being affected by other Lambda functions.
Which solution will meet this requirement MOST cost-effectively?
A
Increase the number of read capacity unit (RCU) in DynamoDB.
B
Configure provisioned concurrency for the Lambda function.
C
Configure reserved concurrency for the Lambda function.
D
Increase the Lambda function timeout and allocated memory.
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