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Evaluating Prototype Behavior at Scale with Amazon Bedrock
In this lab, you will evaluate an Amazon Bedrock prototype by executing a representative workload and collecting operational metrics across repeated foundation model invocations. You will use a prototype runner to process a predefined workload, recording operational measurements such as token usage, latency, response length, and execution status for each request. Throughout the lab, you will examine the accumulated metrics to identify operational trends that are not apparent from individual model responses. Finally, you will evaluate the collected operational signals to assess prototype readiness and understand how repeated measurements provide a more reliable basis for determining production suitability than isolated test executions.
Lab Info
Table of Contents
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Challenge
Execute a representative workload
Run a prototype application against a predefined workload to collect operational measurements across multiple Amazon Bedrock foundation model invocations.
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Challenge
Analyze operational signals
Review metrics such as token usage, latency, response length, and execution status to identify trends that help characterize overall prototype behavior.
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Challenge
Assess prototype readiness
Evaluate operational consistency across repeated requests and recognize how representative workloads provide a more realistic basis for determining production readiness.
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