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You want to optimize a Lambda function that processes many requests quickly. Which approach best reduces cold start impact?

hard📝 Application Q8 of 15
AWS - Lambda
You want to optimize a Lambda function that processes many requests quickly. Which approach best reduces cold start impact?
AKeep the function warm by invoking it periodically
BIncrease the function timeout to maximum
CUse a larger memory size without testing
DDisable environment reuse
Step-by-Step Solution
Solution:
  1. Step 1: Identify cold start reduction methods

    Invoking the function periodically keeps the environment warm, reducing cold starts.
  2. Step 2: Evaluate other options

    Increasing timeout does not reduce cold starts; larger memory helps performance but not cold start directly; disabling reuse increases cold starts.
  3. Final Answer:

    Keep the function warm by invoking it periodically -> Option A
  4. Quick Check:

    Periodic invocation reduces cold starts [OK]
Quick Trick: Invoke Lambda regularly to keep environment warm [OK]
Common Mistakes:
  • Assuming timeout affects cold start
  • Blindly increasing memory without testing
  • Disabling environment reuse

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