AWS Certified AI Practitioner AIF-C01 Practice Question

Because each Lambda invocation runs inside a container with a fixed amount of RAM, the team must verify that the model's weights can be loaded within that allowance. The overall model size-often expressed by parameter count and the corresponding memory footprint-directly determines how much RAM and storage are required during initialization and inference. The other factors are important for specific use cases but do not address whether the model can be loaded at all. Multi-lingual support affects language capability, temperature influences randomness, and maximum output length affects response verbosity; none of these resolve the fundamental resource-fit question.