AWS Certified AI Practitioner (AIF-C01) — Question 261

An AI practitioner is developing a prompt for large language models (LLMs) in Amazon Bedrock. The AI practitioner must ensure that the prompt works across all Amazon Bedrock LLMs.

Which characteristic can differ across the LLMs?

Answer options

• A. Maximum token count
• B. On-demand inference parameter support
• C. The ability to control model output randomness
• D. Compatibility with Amazon Bedrock Guardrails

Correct answer: A

Explanation

The maximum token count can vary between different LLMs, affecting how much information can be processed in a single prompt. The other options, such as on-demand inference parameter support, model output randomness control, and compatibility with Amazon Bedrock Guardrails, are generally consistent across the models, ensuring a uniform experience regardless of the specific LLM used.