What is the memory limit for Lambda functions?

You have a Lambda that processes a small JSON payload. How would you decide how much memory to allocate, and what happens if you set it too low?

If a Lambda runs out of memory, what error do you see in CloudWatch logs and how does it affect the invocation?

Your function currently uses 128 MB but occasionally fails. What change would you make to the memory setting to fix it?

A Lambda that resizes images is taking longer than expected. How would you use memory settings to improve its performance, and what trade‑offs would you consider?

After increasing concurrency, a Lambda started throwing OutOfMemory errors. Walk me through how you would debug and resolve the issue.

Explain how changing the memory allocation impacts CPU allocation and cost for a function that runs 200 ms.

Design a strategy for a high‑throughput data ingestion pipeline using Lambdas. How would you choose memory sizes across stages to balance latency, cost, and concurrency limits?

Your service uses many Lambdas and you need to reduce spend while keeping performance. How would you profile and right‑size memory for each function at scale?

If a Lambda must load a 5 GB model, what architectural alternatives would you consider given the 10 GB memory ceiling?

We are migrating a monolithic batch job to a serverless architecture with Lambda. Given the memory ceiling, how would you redesign the workload and address cross‑team concerns like CI/CD, monitoring, and cost governance?

Your organization wants to standardize Lambda memory configurations across dozens of services. What governance model and tooling would you propose to enforce optimal settings while allowing flexibility?

Discuss the long‑term implications of relying on Lambda memory limits for stateful processing, and how you would evolve the architecture if future workloads exceed the 10 GB limit.