A financial services company wants to develop an Amazon Bedrock application that gives analysts the ability to query quarterly earnings reports and financial statements. The financial documents are typically 5–100 pages long and contain both tabular data and text. The application must provide contextually accurate responses that preserve the relationship between financial metrics and their explanatory text. To support accurate and scalable retrieval, the application must incorporate document segmentation and context management strategies.
Which solution will meet these requirements?

1. A. Use a direct model invocation approach that uses Anthropic Claude to process each financial document as a single inpu
2. B. Use fine-tuned prompts that instruct the model to parse tables and text separately.
3. C. Use Amazon Bedrock Knowledge Bases to create a Retrieval Augmented Generation (RAG) application that retrieves relevant information from contextually chunked sections of financial document
4. D. Segment documents based on their structural layou
5. E. Include citations that reference the original source materials.
6. F. Deploy an Amazon Bedrock agent that has an action group that calls custom AWS Lambda functions to analyze financial document
7. G. Configure the Lambda functions to perform fixed-size chunking when a user submits a query about financial metrics.
8. H. Create one specialized Amazon Bedrock application that is optimized for structured dat
9. I. Create a second application that is optimized for unstructured dat
10. J. Configure each application to use a tailored chunking strategy that is suited to the application's content typ
11. K. Implement logic to link queries to the appropriate sources.

Correct Answer: B

A company uses an organization in AWS Organizations with all features enabled to manage multiple AWS accounts. Employees use Amazon Bedrock across multiple accounts. The company must prevent specific topics and proprietary information from being included in prompts to Amazon Bedrock models. The company must ensure that employees can use only approved Amazon Bedrock models. The company wants to manage these controls centrally.
Which combination of solutions will meet these requirements? (Select TWO.)

1. A. Create an IAM permissions boundary for each employee's IAM rol
2. B. Configure the permissions boundary to require an approved Amazon Bedrock guardrail identifier to invoke Amazon Bedrock model
3. C. Create an SCP that allows employees to use only approved models.
4. D. Create an SCP that allows employees to use only approved model
5. E. Configure the SCP to require employees to specify a guardrail identifier in calls to invoke an approved model.
6. F. Create an SCP that prevents an employee from invoking a model if a centrally deployed guardrail identifier is not specified in a call to the mode
7. G. Create a permissions boundary on each employee's IAM role that allows each employee to invoke only approved models.
8. H. Use AWS CloudFormation to create a custom Amazon Bedrock guardrail that has a block filtering polic
9. I. Use stack sets to deploy the guardrail to each account in the organization.
10. J. Use AWS CloudFormation to create a custom Amazon Bedrock guardrail that has a mask filtering polic
11. K. Use stack sets to deploy the guardrail to each account in the organization.

Correct Answer: CD

A financial services company is deploying a generative AI (GenAI) application that uses Amazon Bedrock to assist customer service representatives to provide personalized investment advice to customers. The company must implement a comprehensive governance solution that follows responsible AI practices and meets regulatory requirements.
The solution must detect and prevent hallucinations in recommendations. The solution must have safety controls for customer interactions. The solution must also monitor model behavior drift in real time and maintain audit trails of all prompt-response pairs for regulatory review. The company must deploy the solution within 60 days. The solution must integrate with the company's existing compliance dashboard and respond to customers within 200 ms.
Which solution will meet these requirements with the LEAST operational overhead?

1. A. Configure Amazon Bedrock guardrails to apply custom content filters and toxicity detectio
2. B. Use Amazon Bedrock Model Evaluation to detect hallucination
3. C. Store prompt- response pairs in Amazon DynamoDB to capture audit trails and set a TT
4. D. Integrate Amazon CloudWatch custom metrics with the existing compliance dashboard.
5. E. Deploy Amazon Bedrock and use AWS PrivateLink to access the application securel
6. F. Use AWS Lambda functions to implement custom prompt validatio
7. G. Store prompt-response pairs in an Amazon S3 bucket and configure S3 Lifecycle policie
8. H. Create custom Amazon CloudWatch dashboards to monitor model performance metrics.
9. I. Use Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases to ground response
10. J. Use Amazon Bedrock Guardrails to enforce content safet
11. K. Use Amazon OpenSearch Service to store and index prompt-response pair
12. L. Integrate OpenSearch Service with Amazon QuickSight to create compliance reports and to detect model behavior drift.
13. M. Use Amazon SageMaker Model Monitor to detect model behavior drif
14. N. Use AWS WAF to filter conten
15. O. Store customer interactions in an encrypted Amazon RDS databas
16. P. Use Amazon API Gateway to create custom HTTP APIs to integrate with the compliance dashboard.

Correct Answer: A

A pharmaceutical company is developing a Retrieval Augmented Generation (RAG) application that uses an Amazon Bedrock knowledge base. The knowledge base uses Amazon OpenSearch Service as a data source for more than 25 million scientific papers. Users report that the application produces inconsistent answers that cite irrelevant sections of papers when queries span methodology, results, and discussion sections of the papers.
The company needs to improve the knowledge base to preserve semantic context across related paragraphs on the scale of the entire corpus of data.
Which solution will meet these requirements?

1. A. Configure the knowledge base to use fixed-size chunkin
2. B. Set a 300-token maximum chunk size and a 10% overlap between chunk
3. C. Use an appropriate Amazon Bedrock embedding model.
4. D. Configure the knowledge base to use hierarchical chunkin
5. E. Use parent chunks that contain 1,000 tokens and child chunks that contain 200 token
6. F. Set a 50-token overlap between chunks.
7. G. Configure the knowledge base to use semantic chunkin
8. H. Use a buffer size of 1 and a breakpoint percentile threshold of 85% to determine chunk boundaries based on content meaning.
9. I. Configure the knowledge base not to use chunkin
10. J. Manually split each document into separate files before ingestio
11. K. Apply post-processing reranking during retrieval.

Correct Answer: B

A company is building an AI advisory application by using Amazon Bedrock. The application will provide recommendations to customers. The company needs the application to explain its reasoning process and cite specific sources for data. The application must retrieve information from company data sources and show step-by-step reasoning for recommendations. The application must also link data claims to source documents and maintain response latency under 3 seconds.
Which solution will meet these requirements with the LEAST operational overhead?

1. A. Use Amazon Bedrock Knowledge Bases with source attribution enable
2. B. Use the Anthropic Claude Messages API with RAG to set high-relevance thresholds for sourcedocument
3. C. Store reasoning and citations in Amazon S3 for auditing purposes.
4. D. Use Amazon Bedrock with Anthropic Claude models and extended thinkin
5. E. Configure a 4,000-token thinking budge
6. F. Store reasoning traces and citations in Amazon DynamoDB for auditing purposes.
7. G. Configure Amazon SageMaker AI with a custom Anthropic Claude mode
8. H. Use the model??s reasoning parameter and AWS Lambda to process response
9. I. Add source citations from a separate Amazon RDS database.
10. J. Use Amazon Bedrock with Anthropic Claude models and chain-of-thought reasonin
11. K. Configure custom retrieval tracking with the Amazon Bedrock Knowledge Bases AP
12. L. Use Amazon CloudWatch to monitor response latency metrics.

Correct Answer: A