Enhance your skills in identifying and resolving issues across serverless environments with this focused quiz. Evaluate your expertise in debugging methods, common pitfalls, and troubleshooting strategies for serverless workloads.
When a serverless function experiences delays immediately after being triggered for the first time, which issue is most likely occurring?
Explanation: Cold start latency refers to the delay that occurs when a serverless function is initialized for the first time or after being idle for a while. Hot start timeout is not a standard concept and misleading. Function throttling involves limiting invocations, not startup delays, and runtime compilation errors occur during code execution, not on startup. Recognizing cold start issues helps developers optimize performance for serverless workloads.
A serverless database update function returns a 'permission denied' error when processing user requests. What is the most probable root cause?
Explanation: Insufficient execution role access often results in 'permission denied' errors, as the function lacks authority to interact with necessary resources. An incorrect data type in the payload would result in data validation or type errors, not permission issues. An outdated function version may result in logic errors, but not permission problems. Excessive memory allocation would affect billing or performance, not access rights.
If a serverless function repeatedly fails due to an 'unexpected token' error while processing incoming events, what is the best first step to diagnose the issue?
Explanation: An 'unexpected token' error typically indicates that the incoming data does not match the expected format, often due to malformed JSON or incorrect structure. Increasing function timeout or reducing concurrency are unrelated to data parsing. Allocating more storage does not address parsing errors. Reviewing the event data structure helps diagnose and resolve the underlying format issue.
A serverless function intermittently fails with 'out of memory' errors during heavy processing tasks. Which action is most effective for troubleshooting?
Explanation: Increasing the function's allocated memory is the most direct way to address out of memory errors during execution. Restricting event sources limits incoming triggers but does not solve memory constraints. Enabling versioning aids in deployment tracking, not memory issues. Removing environment variables generally has negligible impact on operational memory use.
If a sequence of serverless functions takes significantly longer to complete than expected, where should you begin investigating?
Explanation: Reviewing logs and traces for each invocation allows you to pinpoint which step in the chain is causing latency. Shortening a handler name does not affect execution time. Upgrading the runtime may offer performance benefits, but it's not an immediate troubleshooting step. Switching to synchronous event sources changes invocation style but doesn't specifically reveal latency sources.