Which of the following would NOT influence AWS Lambda operational costs?

The operational costs of AWS Lambda are primarily influenced by three main factors: the number of invocations, the duration of execution, and the memory allocation chosen for the function. Each invocation incurs a cost, and the total cost is affected by how long your code runs (execution duration) and how much memory it consumes.

The number of invocations is straightforward; you are charged for each time your function is executed. The duration of execution refers to the time it takes for the function to complete its tasks, measured in milliseconds, which also directly impacts costs. Memory allocation involves the amount of memory you provision for your function, which affects both the price and performance, as AWS Lambda charges are based on the amount of memory allocated and the execution duration.

Data processing speed, while important for performance and user experience, does not directly affect the operational costs you incur with AWS Lambda. It may influence how quickly a function completes its tasks or its overall efficiency, but it is not a measurable factor in the billing model of AWS Lambda. As such, the speed at which data is processed, independent of invocation count, execution time, or memory usage, does not contribute to operational costs.