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Amazon Web Services AWS Certified Generative AI Developer - Professional AIP-C01 Question # 8 Topic 1 Discussion

Amazon Web Services AWS Certified Generative AI Developer - Professional AIP-C01 Question # 8 Topic 1 Discussion

AIP-C01 Exam Topic 1 Question 8 Discussion:
Question #: 8
Topic #: 1

A healthcare company uses a multi-agent system on Amazon Bedrock AgentCore. The system uses multiple FMs to process 2,000 medical report documents daily. The documents range from 5 to 50 pages each.

The company discovers that the system is not performing complete analysis on documents that exceed 30 pages. Documents over 30 pages miss critical information from later sections. The results are truncated, but there are no explicit errors.

The company must resolve this issue while maintaining response times under 10 seconds. The company must keep processing costs low.

Which solution will meet these requirements?


A.

Use Amazon CloudWatch Logs Insights queries to analyze Amazon Bedrock agent processing times. Increase the timeout settings for the Lambda functions that host the agents. Implement pagination for larger documents to process in sequential batches.


B.

Implement document chunking with semantic overlap between chunks where content from the end of one chunk appears at the beginning of the next chunk. Configure Amazon CloudWatch metrics to monitor InputTokenCount. Set up a CloudWatch dashboard for context utilization percentage. Configure diagnostic logging that identifies truncation points in the processing flow.


C.

Configure agent action groups to process documents sequentially by automatically creating separate tasks for each document section. Set up an AWS Step Functions workflow to coordinate processing. Combine the results from individual sections.


D.

Deploy the system in a higher memory configuration with a larger compute instance size to accommodate complete documents in memory. Add Amazon Comprehend Medical to identify and prioritize critical medical entities for improved context management.


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