AWS Certified Solutions Architect Associate SAA-C03 Practice Question
A Lambda function that performs image processing requires high memory and compute power. The function's execution time is sensitive, and performance must be prioritized. Which Lambda memory configuration is BEST suited to meet these requirements?
Configure the Lambda function with 10 GB of memory.
Configure the Lambda function with 512 MB of memory.
Configure the Lambda function with 1 GB of memory.
Configure the Lambda function with 128 MB of memory.
Selecting a Lambda memory configuration that provides sufficient memory for high compute power is critical for performance-sensitive tasks such as image processing. Choosing the highest available Lambda memory configuration (10 GB) ensures the function has enough compute power to execute quickly, reducing the execution time. While other memory configurations might also allow the function to complete, performance may not be optimized, potentially leading to longer execution times and increased costs, as Lambda pricing is based on the number of requests, execution duration, and the amount of memory allocated.
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What does it mean to configure Lambda memory for performance-sensitive tasks?
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