AWS Certified AI Practitioner AIF-C01 Practice Question
A company operates a customer-service chatbot that calls an Amazon Bedrock foundation model around the clock at a steady rate of several requests per second. They need consistently low latency and want to minimize the cost per request. Which pricing approach best meets these requirements?
Configure Provisioned Throughput for the model endpoint
Switch to a larger model with a higher context length
Deploy the model in an additional Region and enable latency-based routing
Continue using On-Demand pay-per-request invocations
With steady, predictable traffic, Provisioned Throughput reserves dedicated model capacity for a fixed hourly fee. The reserved capacity delivers consistent low-latency responses and, when fully utilized, reduces the effective cost per request compared with pay-as-you-go On-Demand invocations. On-Demand remains more economical for sporadic or low traffic, but becomes more expensive per request at sustained high volume. Choosing a larger model or deploying to another Region does not directly lower per-request cost, and latency-based routing adds network overhead without addressing pricing.
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What is Provisioned Throughput in Amazon Bedrock?
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What is the difference between Provisioned Throughput and On-Demand invocations?
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How does latency-based routing work, and why isn't it suitable in this scenario?
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AWS Certified AI Practitioner AIF-C01
Fundamentals of Generative AI
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