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A healthcare company runs a multi-step workflow that uses Amazon Bedrock foundation models (FMs) to...

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A healthcare company runs a multi-step workflow that uses Amazon Bedrock foundation models (FMs) to assist clinicians with making patient clinical decisions. Recent data shows that 25% of decision processes fail to finish. However, the company cannot identify which specific workflow step is causing the failures.

The company needs to implement a monitoring solution to identify the exact failure points in the workflow. The solution must provide detailed analytics for the completion rates of each workflow step.

Which solution will meet these requirements?

A.

Configure Amazon CloudWatch alarms to monitor the workflow ' s InvocationServerErrors API and InvocationClientErrors API error rates. Set up notifications for when errors exceed 25%. Configure custom metrics to track each workflow step separately.

B.

Enable AWS CloudTrail logging for the Amazon Bedrock FM workflow. Create scheduled Amazon Athena queries that analyze log patterns to identify which steps of the workflow fail most frequently.

C.

Enable tracing for InvokeAgent API requests to capture OrchestrationTrace and FailureTrace objects. Develop analytics on the structured trace data to calculate completion rates for each workflow step.

D.

Use Amazon EventBridge to capture workflow events for state transitions. Store the event data in Amazon S3. Use Amazon QuickSight to create dashboards that display completion rates for each workflow step.

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