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How does AWS Lambda reuse execution environments to improve performance when handling multiple requests?

hard📝 Application Q9 of 15
AWS - Lambda
How does AWS Lambda reuse execution environments to improve performance when handling multiple requests?
ABy creating a new environment for every request to avoid state issues
BBy keeping the environment alive for some time after invocation to serve new requests
CBy storing function state permanently in the environment
DBy running multiple functions in the same environment simultaneously
Step-by-Step Solution
Solution:
  1. Step 1: Understand environment reuse

    Lambda keeps the environment alive briefly after a request to reuse it for subsequent requests, reducing startup time.
  2. Step 2: Eliminate incorrect options

    New environment per request increases latency; state is not stored permanently; environments do not run multiple functions simultaneously.
  3. Final Answer:

    By keeping the environment alive for some time after invocation to serve new requests -> Option B
  4. Quick Check:

    Environment reuse = alive briefly for next requests [OK]
Quick Trick: Lambda reuses environments briefly after invocation [OK]
Common Mistakes:
  • Thinking new environment is created every time
  • Assuming permanent state storage
  • Believing multiple functions share one environment

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