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Amazon Web Services AIP-C01 Exam Dumps Questions and Answers

Exam Code: AIP-C01
Exam Name: AWS Certified Generative AI Developer - Professional
Certification: AWS Certified Professional
Vendor: Amazon Web Services
Last Update: Oct 9, 2026
Questions: 161 With Expert Explanation
10  Customers Passed Amazon Web Services AIP-C01
88%  Average Success In Real Exam
85%  Questions came word by word from this dump
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Amazon Web Services Related Certification Exams

AWS Certified Generative AI Developer - Professional Questions and Answers

Questions 1

A company uses Amazon Bedrock to generate technical content for customers. The company has recently experienced a surge in hallucinated outputs when the company’s model generates summaries of long technical documents. The model outputs include inaccurate or fabricated details. The company’s current solution uses a large foundation model (FM) with a basic one-shot prompt that includes the full document in a single input.

The company needs a solution that will reduce hallucinations and meet factual accuracy goals. The solution must process more than 1,000 documents each hour and deliver summaries within 3 seconds for each document.

Which combination of solutions will meet these requirements? (Select TWO.)

Options:

A.

Implement zero-shot chain-of-thought (CoT) instructions that require step-by-step reasoning with explicit fact verification before the model generates each summary.

B.

Use Retrieval Augmented Generation (RAG) with an Amazon Bedrock knowledge base. Apply semantic chunking and tuned embeddings to ground summaries in source content.

C.

Configure Amazon Bedrock guardrails to block any generated output that matches patterns that are associated with hallucinated content.

D.

Increase the temperature parameter in Amazon Bedrock.

E.

Prompt the Amazon Bedrock model to summarize each full document in one pass.

Questions 2

A company uses AWS Lambda functions to build an AI agent solution. A GenAI developer must set up a Model Context Protocol (MCP) server that accesses user information. The GenAI developer must also configure the AI agent to use the new MCP server. The GenAI developer must ensure that only authorized users can access the MCP server.

Which solution will meet these requirements?

Options:

A.

Use a Lambda function to host the MCP server. Grant the AI agent Lambda functions permission to invoke the Lambda function that hosts the MCP server. Configure the AI agent’s MCP client to invoke the MCP server asynchronously.

B.

Use a Lambda function to host the MCP server. Grant the AI agent Lambda functions permission to invoke the Lambda function that hosts the MCP server. Configure the AI agent to use the STDIO transport with the MCP server.

C.

Use a Lambda function to host the MCP server. Create an Amazon API Gateway HTTP API that proxies requests to the Lambda function. Configure the AI agent solution to use the Streamable HTTP transport to make requests through the HTTP API. Use Amazon Cognito to enforce OAuth 2.1.

D.

Use a Lambda layer to host the MCP server. Add the Lambda layer to the AI agent Lambda functions. Configure the agentic AI solution to use the STDIO transport to send requests to the MCP server. In the AI agent’s MCP configuration, specify the Lambda layer ARN as the command. Specify the user credentials as environment variables.

Questions 3

A financial services company deploys a RAG application. The application uses Amazon OpenSearch Service to provide vector storage and Amazon Bedrock to generate text. The application ingests thousands of documents daily and processes hundreds of user queries each hour.

Several weeks after the deployment, users report increased response times despite sufficient compute resources. The company needs a monitoring solution that proactively identifies performance issues across the entire RAG pipeline.

Which solution will meet this requirement?

Options:

A.

Configure Amazon CloudWatch alarms for the OpenSearchDashboardsHealthyNodes metric and the SearchLatency metric. Manually investigate and restart OpenSearch Service instances whenever query response times exceed predefined thresholds based on historical performance patterns.

B.

Use Amazon CloudWatch Container Insights to monitor the OpenSearch Service cluster. Use Amazon EventBridge to invoke AWS Systems Manager Automation to restart the OpenSearch Service instances whenever memory usage exceeds 80%.

C.

Create basic Amazon CloudWatch dashboards to track CPU and memory usage for individual services. Configure alarms based on static thresholds for query latency. Set up email notifications when thresholds are exceeded.

D.

Use Amazon CloudWatch dashboards to monitor end-to-end RAG metrics including vector search latency, foundation model (FM) response times, and document ingestion rates. Set up anomaly detection for the metrics to proactively identify performance degradation before users are affected.

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