AWS Certified AI Practitioner (AIF-C01) — Question 185

A company has created a custom model by fine-tuning an existing large language model (LLM) from Amazon Bedrock. The company wants to deploy the model to production and use the model to handle a steady rate of requests each minute.

Which solution meets these requirements MOST cost-effectively?

Answer options

• A. Deploy the model by using an Amazon EC2 compute optimized instance.
• B. Use the model with on-demand throughput on Amazon Bedrock.
• C. Store the model in Amazon S3 and host the model by using AWS Lambda.
• D. Purchase Provisioned Throughput for the model on Amazon Bedrock.

Correct answer: D

Explanation

The correct answer is D because purchasing Provisioned Throughput on Amazon Bedrock allows for consistent and cost-effective handling of a steady rate of requests, ensuring optimal performance. Options A and C involve additional infrastructure management and may incur higher costs, while option B does not guarantee the same level of efficiency for a steady request load.