Scenario: You are designing a real-time data processing system using AWS Lambda. How would you optimize the execution model to handle sudden spikes in incoming data?

  • Implement asynchronous processing
  • Increase memory allocation
  • Reduce function timeout
  • Scale concurrency settings
Scaling concurrency settings dynamically allocates resources to match the workload, making it an effective way to handle sudden spikes in incoming data.
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