AIP-C01 Free Practice Test

A financial services company uses an AI application to process financial documents by using Amazon Bedrock. During business hours, the application handles approximately 10,000 requests each hour, which requires consistent throughput.
The company uses the CreateProvisionedModelThroughput API to purchase provisioned throughput. Amazon CloudWatch metrics show that the provisioned capacity is unused while on-demand requests are being throttled. The company finds the following code in the application:
python
response = bedrock_runtime.invoke_model(modelId="anthropic.claude-v2", body=json.dumps(payload))
The company needs the application to use the provisioned throughput and to resolve the throttling issues.
Which solution will meet these requirements?

1. A. Increase the number of model units (MUs) in the provisioned throughput configuration.
2. B. Replace the model ID parameter with the ARN of the provisioned model that the CreateProvisionedModelThroughput API returns.
3. C. Add exponential backoff retry logic to handle throttling exceptions during peak hours.
4. D. Modify the application to use the InvokeModelWithResponseStream API instead of the InvokeModel API.

Correct Answer: B

A financial services company is developing a customer service AI assistant by using Amazon Bedrock. The AI assistant must not discuss investment advice with users. The AI assistant must block harmful content, mask personally identifiable information (PII), and maintain audit trails for compliance reporting. The AI assistant must apply content filtering to both user inputs and model responses based on content sensitivity.
The company requires an Amazon Bedrock guardrail configuration that will effectively enforce policies with minimal false positives. The solution must provide multiple handling strategies for multiple types of sensitive content.
Which solution will meet these requirements?

1. A. Configure a single guardrail and set content filters to high for all categorie
2. B. Set up denied topics for investment advice and include sample phrases to bloc
3. C. Set up sensitive information filters that apply the block action for all PII entitie
4. D. Apply the guardrail to all model inference calls.
5. E. Configure multiple guardrails by using tiered policie
6. F. Create one guardrail and set content filters to hig
7. G. Configure the guardrail to block PII for public interaction
8. H. Configure a second guardrail and set content filters to mediu
9. I. Configure the second guardrail to mask PII for internal us
10. J. Configure multiple topic-specific guardrails to block investment advice and set up contextual grounding checks.
11. K. Configure a guardrail and set content filters to medium for harmful conten
12. L. Set updenied topics for investment advice and include clear definitions and sample phrases to bloc
13. M. Configure sensitive information filters to mask PII in responses and to block financial information in input
14. N. Enable both input and output evaluations that use custom blocked messages for audits.
15. O. Create a separate guardrail for each use cas
16. P. Create one guardrail that applies a harmful content filte
17. Q. Create a guardrail to apply topic filters for investment advic
18. R. Create a guardrail to apply sensitive information filters to block PI
19. S. Use AWS Step Functions to chain the guardrails sequentially.

Correct Answer: C

A company is developing a customer support application that uses Amazon Bedrock foundation models (FMs) to provide real-time AI assistance to the company??s employees. The application must display AI-generated responses character by character as the responses are generated. The application needs to support thousands of concurrent users with minimal latency. The responses typically take 15 to 45 seconds to finish.
Which solution will meet these requirements?

1. A. Configure an Amazon API Gateway WebSocket API with an AWS Lambda integratio
2. B. Configure the WebSocket API to invoke the Amazon Bedrock InvokeModelWithResponseStream API and stream partial responses through WebSocket connections.
3. C. Configure an Amazon API Gateway REST API with an AWS Lambda integratio
4. D. Configure the REST API to invoke the Amazon Bedrock standard InvokeModel API and implement frontend client-side polling every 100 ms for complete response chunks.
5. E. Implement direct frontend client connections to Amazon Bedrock by using IAM user credentials and the InvokeModelWithResponseStream API without any intermediate gateway or proxy layer.
6. F. Configure an Amazon API Gateway HTTP API with an AWS Lambda integratio
7. G. Configure the HTTP API to cache complete responses in an Amazon DynamoDB table and serve the responses through multiple paginated GET requests to frontend clients.

Correct Answer: A