AIP-C01 Practice Questions
95 real AIP-C01 exam questions with expert-verified answers and explanations. Page 1 of 2.
- Question #1Data for Generative AI
A financial services company is building a customer support application that retrieves relevant financial regulation documents from a database based on semantic similarity to user...
Vector SearchRAGOpenSearch ServerlessData Retrieval for AI - Question #2Deployment, Operations, and Optimization
An ecommerce company is using Amazon Bedrock to build a generative AI (GenAI) application. The application uses AWS Step Functions to orchestrate a multi-agent workflow to produce...
AWS Step FunctionsAmazon BedrockGenerative AI ArchitectureData Handling & Quotas - Question #3Deployment, Operations, and Optimization
A specialty coffee company has a mobile app that generates personalized coffee roast profiles by using Amazon Bedrock with a three-stage prompt chain. The prompt chain converts use...
Amazon BedrockLLM PerformanceLLM SafetyLLM Consistency - Question #4Generative AI Foundations
A media company must use Amazon Bedrock to implement a robust governance process for AI- generated content. The company needs to manage hundreds of prompt templates. Multiple teams...
Prompt ManagementGovernanceVersion ControlApproval Workflows - Question #5Deployment, Operations, and Optimization
A company is developing a generative AI (GenAI) application that uses Amazon Bedrock foundation models. The application has several custom tool integrations. The application has ex...
Amazon Bedrock MonitoringCloudWatch Anomaly DetectionToken ConsumptionOperational Metrics - Question #6Data for Generative AI
A financial services company needs to pre-process unstructured data such as customer transcripts, financial reports, and documentation. The company stores the unstructured data in...
Data PreprocessingAWS GlueText ChunkingData Catalog - Question #7Data for Generative AI
An ecommerce company is developing a generative AI (GenAI) solution that uses Amazon Bedrock with Anthropic Claude to recommend products to customers. Customers report that some re...
Retrieval Augmented Generation (RAG)Amazon Bedrock Knowledge BasesData GroundingHallucination mitigation - Question #8Deployment, Operations, and Optimization
A financial services company is developing a real-time generative AI (GenAI) assistant to support human call center agents. The GenAI assistant must transcribe live customer speech...
Real-time processingSpeech-to-TextGenerative AI applicationsAWS managed services - Question #9Generative AI Foundations
A company is using Amazon Bedrock to build a customer-facing AI assistant that handles sensitive customer inquiries. The company must use defense-in-depth safety controls to block...
Amazon Bedrock GuardrailsPrompt InjectionLLM SecurityResponsible AI - Question #10Deployment, Operations, and Optimization
A company upgraded its Amazon Bedrock-powered foundation model (FM) that supports a multilingual customer service assistant. After the upgrade, the assistant exhibited inconsistent...
Model EvaluationMLOpsMultilingual AIGenerative AI Operations - Question #11Data for Generative AI
A financial services company is developing a Retrieval Augmented Generation (RAG) application to help investment analysts query complex financial relationships across multiple inve...
RAGGraph DatabasesAmazon Neptune AnalyticsOperational Overhead - Question #12Deployment, Operations, and Optimization
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 applicati...
API Gateway WebSocketStreaming AI ResponsesAmazon Bedrock IntegrationReal-time Architecture - Question #13Deployment, Operations, and Optimization
An elevator service company has developed an AI assistant application by using Amazon Bedrock. The application generates elevator maintenance recommendations to support the company...
Workflow OrchestrationHuman-in-the-Loop AIAWS Step FunctionsAudit Trails - Question #14Data for Generative AI
A company is developing a generative AI (GenAI) application by using Amazon Bedrock. The application will analyze patterns and relationships in the company's data. The application...
Data ResidencyData ComplianceAmazon S3Audit Trails - Question #15Deployment, Operations, and Optimization
A medical company is building a generative AI (GenAI) application that uses Retrieval Augmented Generation (RAG) to provide evidence-based medical information. The application uses...
Retrieval Augmented Generation (RAG)Hybrid SearchOpenSearch ServiceSearch Quality - Question #16Generative AI Foundations
A company is using AWS Lambda and REST APIs to build a reasoning agent to automate support workflows. The system must preserve memory across interactions, share relevant agent stat...
Generative AI AgentsAmazon BedrockAgent OrchestrationMemory Management - Question #17Generative AI Foundations
A company is developing a customer communication platform that uses an AI assistant powered by an Amazon Bedrock foundation model (FM). The AI assistant summarizes customer message...
Content ModerationGenerative AI SafetyAmazon ComprehendPre-processing - Question #18Data for Generative AI
A wildlife conservation agency operates zoos globally. The agency uses various sensors, trackers, and audiovisual recorders to monitor animal behavior. The agency wants to launch a...
Multimodal data processingData preparationGenerative AI data pipelineAWS data services - Question #19Deployment, Operations, and Optimization
A financial technology company is using Amazon Bedrock to build an assessment system for the company's customer service AI assistant. The AI assistant must provide financial recomm...
Amazon BedrockModel EvaluationJudge ModelsGenerative AI Quality - Question #20Deployment, Operations, and Optimization
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 it...
Retrieval Augmented Generation (RAG)Amazon Bedrock Knowledge BasesSource AttributionOperational Overhead - Question #21Data for Generative AI
A healthcare company is developing a document management system that stores medical research papers in an Amazon S3 bucket. The company needs a comprehensive metadata framework to...
S3 MetadataS3 Object TagsData StructuringGenerative AI Data - Question #22Data for Generative AI
A company is building a generative AI (GenAI) application that produces content based on a variety of internal and external data sources. The company wants to ensure that the gener...
Data CatalogMetadata TaggingData TraceabilityAudit Logging - Question #23Deployment, Operations, and Optimization
A retail company is using Amazon Bedrock to develop a customer service AI assistant. Analysis shows that 70% of customer inquiries are simple product questions that a smaller model...
Amazon BedrockModel RoutingCost OptimizationDeployment Strategy - Question #24Generative AI Foundations
A company is building a legal research AI assistant that uses Amazon Bedrock with an Anthropic Claude foundation model (FM). The AI assistant must retrieve highly relevant case law...
Retrieval Augmented Generation (RAG)Hybrid SearchAmazon OpenSearch ServiceVector Search - Question #25Deployment, Operations, and Optimization
A company is building a multicloud generative AI (GenAI)-powered secret resolution application that uses Amazon Bedrock and Agent Squad. The application resolves secrets from multi...
Generative AI ApplicationsAWS Step FunctionsWorkflow OrchestrationPerformance Optimization - Question #26
A company runs a generative AI (GenAI)-powered summarization application in an application AWS account that uses Amazon Bedrock. The application architecture includes an Amazon API...
- Question #27Deployment, Operations, and Optimization
A GenAI developer is evaluating Amazon Bedrock foundation models (FMs) to enhance a Europe- based company's internal business application. The company has a multi-account landing z...
Amazon BedrockCross-Region ConnectivityPrivateLinkService Control Policies (SCPs) - Question #28Deployment, Operations, and Optimization
A media company is launching a platform that allows thousands of users every hour to upload images and text content. The platform uses Amazon Bedrock to process the uploaded conten...
Generative AI SafetyBedrock GuardrailsContent ModerationPII Protection - Question #29Deployment, Operations, and Optimization
A company is designing a solution that uses foundation models (FMs) to support multiple AI workloads. Some FMs must be invoked on demand and in real time. Other FMs require consist...
Generative AI DeploymentAmazon BedrockAmazon SageMakerHybrid Cloud Architectures - Question #30Deployment, Operations, and Optimization
A financial services company is developing a customer service AI assistant application that uses a foundation model (FM) in Amazon Bedrock. The application must provide transparent...
Amazon Bedrock AgentsRetrieval Augmented Generation (RAG)Operational OverheadAuditability & Transparency - Question #31Data for Generative AI
A company uses Amazon Bedrock to build a Retrieval Augmented Generation (RAG) system. The RAG system uses an Amazon Bedrock Knowledge Bases that is based on an Amazon S3 bucket as...
Retrieval Augmented Generation (RAG)Amazon Bedrock Knowledge BasesMetadata FilteringRetrieval Optimization - Question #32Data for Generative AI
Example Corp provides a personalized video generation service that millions of enterprise customers use. Customers generate marketing videos by submitting prompts to the company's...
Retrieval Augmented Generation (RAG)Amazon Q BusinessData governancePrompt engineering - Question #33Generative AI Foundations
A company is creating a workflow to review customer-facing communications before the company sends the communications. The company uses a pre-defined message template to generate t...
Amazon Bedrock FlowsGenerative AI workflowsS3 integrationLLM orchestration - Question #34Deployment, Operations, and Optimization
A healthcare company is using Amazon Bedrock to build a Retrieval Augmented Generation (RAG) application that helps practitioners make clinical decisions. The application must achi...
RAG evaluationHallucination detectionLLM-as-a-judgeHybrid evaluation systems - Question #35Deployment, Operations, and Optimization
A publishing company is developing a chat assistant that uses a containerized large language model (LLM) that runs on Amazon SageMaker AI. The architecture consists of an Amazon AP...
SageMaker InferenceLLM DeploymentLow LatencyReal-time AI - Question #36Generative AI Foundations
A company is using Amazon Bedrock to design an application to help researchers apply for grants. The application is based on an Amazon Nova Pro foundation model (FM). The applicati...
Amazon BedrockGuardrailsPrompt EngineeringContent Moderation - Question #37Deployment, Operations, and Optimization
A healthcare company uses Amazon Bedrock to deploy an application that generates summaries of clinical documents. The application experiences inconsistent response quality with occ...
MonitoringHallucination DetectionCost OptimizationGenerative AI Operations - Question #38Deployment, Operations, and Optimization
A financial services company is developing a generative AI (GenAI) application that serves both premium customers and standard customers. The application uses AWS Lambda functions...
AWS AppConfigConfiguration ManagementFeature FlagsA/B Testing - Question #39Deployment, Operations, and Optimization
A company is building a video analysis platform on AWS. The platform will analyze a large video archive by using Amazon Rekognition and Amazon Bedrock. The platform must comply wit...
IAM ABACBedrock SecurityAccess ControlFoundation Model Governance - Question #40Deployment, Operations, and Optimization
A company is developing a generative AI (GenAI)-powered customer support application that uses Amazon Bedrock foundation models (FMs). The application must maintain conversational...
Generative AI ArchitectureConversational Context ManagementAWS Step FunctionsScalable Data Storage - Question #41Deployment, Operations, and Optimization
A company runs a Retrieval Augmented Generation (RAG) application that uses Amazon Bedrock Knowledge Bases to perform regulatory compliance queries. The application uses the Retrie...
Retrieval Augmented Generation (RAG)Amazon Bedrock Knowledge BasesRerankingPerformance Optimization - Question #42Deployment, Operations, and Optimization
A company is implementing a serverless inference API by using AWS Lambda. The API will dynamically invoke multiple AI models hosted on Amazon Bedrock. The company needs to design a...
Serverless AI InferenceConfiguration ManagementSafe DeploymentAWS AppConfig - Question #43Deployment, Operations, and Optimization
A medical company uses Amazon Bedrock to power a clinical documentation summarization system. The system produces inconsistent summaries when handling complex clinical documents. T...
Prompt EngineeringPrompt EvaluationVersion ControlGenerative AI MLOps - Question #44Data for Generative AI
A legal research company has a Retrieval Augmented Generation (RAG) application that uses Amazon Bedrock and Amazon OpenSearch Service. The application stores 768-dimensional vecto...
RAGChunking StrategyRetrieval RelevanceData Preparation - Question #45Generative AI Foundations
A finance company is developing an AI assistant to help clients plan investments and manage their portfolios. The company identifies several high-risk conversation patterns such as...
Amazon Bedrock GuardrailsGenerative AI SafetyContent ModerationGrounding - Question #46Deployment, Operations, and Optimization
An ecommerce company operates a global product recommendation system that needs to switch between multiple foundation models (FM) in Amazon Bedrock based on regulations, cost optim...
Dynamic ConfigurationRouting LogicAWS AppConfigServerless Architecture - Question #47Deployment, Operations, and Optimization
A company provides a service that helps users from around the world discover new restaurants. The service has 50 million monthly active users. The company wants to implement a sema...
Semantic SearchFoundation ModelsAmazon OpenSearch ServiceGenerative AI Applications - Question #48Deployment, Operations, and Optimization
A company is using Amazon Bedrock and Anthropic Claude 3 Haiku to develop an AI assistant. The AI assistant normally processes 10,000 requests each hour but experiences surges of u...
Generative AI optimizationAmazon BedrockThroughput and LatencyMulti-Region Architecture - Question #49Deployment, Operations, and Optimization
A company uses an AI assistant application to summarize the company's website content and provide information to customers. The company plans to use Amazon Bedrock to give the appl...
Amazon BedrockModel SwitchingApplication DeploymentAWS CDK - Question #50Deployment, Operations, and Optimization
A company deploys multiple Amazon Bedrock-based generative AI (GenAI) applications across multiple business units for customer service, content generation, and document analysis. S...
Generative AI ObservabilityAmazon Bedrock MonitoringCloudWatchData Lake Analytics