Free Amazon AIP-C01 Exam Questions

A media company is building a content recommendation engine that uses Amazon Bedrock embeddings to find similar articles based on semantic meaning. They need a fully managed vector database that can efficiently perform k-nearest neighbor (k-NN) searches across millions of article embeddings. The team wants a service that integrates natively with their existing search infrastructure and supports both keyword and vector search.Which AWS service should the team use as their vector database?

An e-commerce company uses an Amazon Bedrock Agent to handle product returns. The agent has access to two tools: GetOrderDetails and ProcessRefund.During testing, the agent fails to process refunds for orders older than 30 days. Instead of calling the ProcessRefund tool, the agent simply apologizes to the user.The developer suspects the agent is correctly identifying the return policy date limit but needs to verify the specific logic used by the agent to reach this decision.Which troubleshooting step provides the necessary visibility?

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

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 AIgenerated responses character by character as the responses are generated. The application needs to supportthousands of concurrent users with minimal latency. The responses typically take 15 to 45 seconds to finish.Which solution will meet these requirements?

A healthcare technology company is building a patient inquiry chatbot using Amazon Bedrock. Before logging conversation transcripts for quality assurance, they must ensure that all personally identifiable information (names, phone numbers, addresses, medical record numbers) is detected and redacted to comply with HIPAA privacy requirements.Which combination of AWS services should the developer use to detect and redact PII from conversation logs?