AIP-C01 Practice Questions
95 real AIP-C01 exam questions with expert-verified answers and explanations. Page 2 of 2.
- Question #51Data for Generative AI
An enterprise application uses an Amazon Bedrock foundation model (FM) to process and analyze 50 to 200 pages of technical documents. Users are experiencing inconsistent responses...
Chunking StrategiesContext Window ManagementSemantic ChunkingData Preparation - Question #52Deployment, Operations, and Optimization
A company has a generative AI (GenAI) application that uses Amazon Bedrock to provide real- time responses to customer queries. The company has noticed intermittent failures with A...
API Retry MechanismsDistributed TracingObservabilityGenerative AI Operations - Question #53Deployment, Operations, and Optimization
A company is planning to deploy multiple generative AI (GenAI) applications to five independent business units that operate in multiple countries in Europe and the Americas. Each a...
Infrastructure as CodeCI/CDGenerative AI ArchitectureGovernance - Question #54Generative AI Foundations
A pharmaceutical company is developing a Retrieval Augmented Generation (RAG) application that uses an Amazon Bedrock knowledge base. The knowledge base uses Amazon OpenSearch Serv...
RAGKnowledge BasesChunking StrategiesSemantic Context - Question #55Deployment, Operations, and Optimization
A company is designing a canary deployment strategy for a payment processing API. The system must support automated gradual traffic shifting between multiple Amazon Bedrock models...
Canary DeploymentAmazon BedrockModel DeploymentTraffic Shifting - Question #56Deployment, Operations, and Optimization
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...
Amazon Bedrock GuardrailsContent FilteringPolicy EnforcementDenied Topics - Question #57Data for Generative AI
A medical device company wants to feed reports of medical procedures that used the company's devices into an AI assistant. To protect patient privacy, the AI assistant must expose...
Retrieval Augmented Generation (RAG)Data GovernanceData Lifecycle ManagementAmazon Bedrock Knowledge Bases - Question #58Deployment, Operations, and Optimization
A company is using Amazon Bedrock to develop an AI-powered application that uses a foundation model (FM) that supports cross-Region inference and provisioned throughput. The applic...
Amazon BedrockMulti-Region DeploymentData ResidencyApplication Resilience - Question #59Deployment, Operations, and Optimization
A company has a recommendation system running on Amazon EC2 instances. The applications make API calls to Amazon Bedrock foundation models (FMs) to analyze customer behavior and ge...
Generative AI MonitoringApplication Performance MonitoringAnomaly DetectionCloudWatch - Question #60Deployment, Operations, and Optimization
A company is building a generative AI (GenAI) application that uses Amazon Bedrock APIs to process complex customer inquiries. During peak usage periods, the application experience...
Resilience PatternsAPI Error HandlingAmazon Bedrock OptimizationToken Management - Question #61Deployment, Operations, and Optimization
A financial services company is deploying a generative AI (GenAI) application that uses Amazon Bedrock to assist customer service representatives to provide personalized investment...
Generative AI GovernanceAmazon Bedrock GuardrailsModel MonitoringAudit Trails - Question #62Model Development and Training
You are tasked with creating a deep learning model to generate realistic images from text descriptions. Which AWS service would be best suited for training this model?
Deep Learning TrainingAmazon SageMakerGenerative AIText-to-Image - Question #63Deployment, Operations, and Optimization
Which of the following AWS services can be used for automating the deployment and scaling of machine learning models into production environments?
MLOpsModel DeploymentSageMaker PipelinesAutomation - Question #64Generative AI Foundations
You are building a generative AI solution that requires real-time text-to-speech conversion. Which AWS service would you use to convert text input into lifelike speech output?
Amazon PollyText-to-Speech (TTS)AWS AI ServicesGenerative AI Components - Question #65Deployment, Operations, and Optimization
A company is designing an API for a generative AI (GenAI) application that uses a foundation model (FM) that is hosted on a managed model service. The API must stream responses to...
API GatewayAWS LambdaAmazon BedrockServerless Architecture - Question #66Data for Generative AI
A healthcare company is using Amazon Bedrock to develop a real-time patient care AI assistant to respond to queries for separate departments that handle clinical inquiries, insuran...
Amazon Bedrock AgentsKnowledge BasesMulti-agent ArchitectureRetrieval Augmented Generation (RAG) - Question #67Deployment, Operations, and Optimization
A healthcare company is using Amazon Bedrock to build a system to help practitioners make clinical decisions. The system must provide treatment recommendations to physicians based...
Retrieval Augmented Generation (RAG)Amazon Bedrock Knowledge BasesLLM GroundingSource Attribution - Question #68Deployment, Operations, and Optimization
A financial services company uses multiple foundation models (FMs) through Amazon Bedrock for its generative AI (GenAI) applications. To comply with a new regulation for GenAI use...
Token ManagementAmazon BedrockAWS LambdaGenerative AI Architecture - Question #69Generative AI Foundations
Company configures a landing zone in AWS Control Tower. The company handles sensitive data that must remain within the European Union. The company must use only the eu-central-1 Re...
Service Control Policies (SCPs)Amazon BedrockCross-Region Inference (CRI)Data Residency - Question #70Deployment, Operations, and Optimization
A company is creating a generative AI (GenAI) application that uses Amazon Bedrock foundation models (FMs). The application must use Microsoft Entra ID to authenticate. All FM API...
Identity and Access Management (IAM)Amazon BedrockNetwork SecurityAuditing & Logging - Question #71Deployment, Operations, and Optimization
A company has set up Amazon Q Developer Pro licenses for all developers at the company. The company maintains a list of approved resources that developers must use when developing...
Amazon Q DeveloperCustomizationCode GenerationOrganizational Guidelines - Question #72Data for Generative AI
A bank is building a generative AI (GenAI) application that uses Amazon Bedrock to assess loan applications by using scanned financial documents. The application must extract struc...
Generative AI ApplicationsDocument ProcessingData Privacy & ComplianceHuman-in-the-Loop - Question #73Deployment, Operations, and Optimization
A bank is developing a generative AI (GenAI)-powered AI assistant that uses Amazon Bedrock to assist the bank's website users with account inquiries and financial guidance. The ban...
Amazon Bedrock GuardrailsGenerative AI SafetyData PrivacyContent Moderation - Question #74Generative AI Foundations
Which AWS service allows you to use pre-built machine learning models and make API calls for tasks like object recognition, text translation, and speech transcription?
AWS AI ServicesPre-built ML ModelsAPI-driven AICognitive Services - Question #75Deployment, Operations, and Optimization
You are working with a generative AI model that is very resource-intensive. Which AWS tool should you use to monitor and optimize the model's performance during real-time inference...
Model MonitoringGenerative AI InferencePerformance OptimizationAmazon SageMaker - Question #76Deployment, Operations, and Optimization
When designing a large-scale, low-latency inference architecture for a generative AI model, which AWS service would you use to automatically scale the inference workload based on t...
Generative AIInference ScalingSageMaker EndpointsAuto Scaling - Question #77Data for Generative AI
A company uses AWS Lake Formation to set up a data lake that contains databases and tables for multiple business units across multiple AWS Regions. The company wants to use a found...
AWS Lake FormationAccess ControlPII RedactionAudit Logging - Question #78Deployment, Operations, and Optimization
A company is developing a generative AI (GenAI) application that analyzes customer service calls in real time and generates suggested responses for human customer service agents. T...
Real-time InferenceScalabilityLatency OptimizationAmazon Bedrock - Question #79Deployment, Operations, and Optimization
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 dev...
Generative AI AgentsServerless ArchitectureAPI SecurityAWS Lambda - Question #80Deployment, Operations, and Optimization
A company is building a serverless application that uses AWS Lambda functions to help students around the world summarize notes. The application uses Anthropic Claude through Amazo...
Amazon BedrockThrottlingMonitoringPerformance Optimization - Question #81Data for Generative AI
A financial services company is creating a Retrieval Augmented Generation (RAG) application that uses Amazon Bedrock to generate summaries of market activities. The application rel...
Vector DatabasesRAG ArchitectureSimilarity SearchIndexing Algorithms - Question #82Deployment, Operations, and Optimization
A financial services company needs to build a document analysis system that uses Amazon Bedrock to process quarterly reports. The system must analyze financial data, perform sentim...
Workflow orchestrationParallel processingPerformance optimizationServerless architecture - Question #83Deployment, Operations, and Optimization
A company uses Amazon Bedrock to implement a Retrieval Augmented Generation (RAG)-based system to serve medical information to users. The company needs to compare multiple chunking...
Amazon BedrockRAG SystemsModel EvaluationData Chunking - Question #84Deployment, Operations, and Optimization
A retail company has a generative AI (GenAI) product recommendation application that uses Amazon Bedrock. The application suggests products to customers based on browsing history a...
Generative AI EvaluationPrompt EngineeringFairness and BiasAmazon Bedrock - Question #85Deployment, Operations, and Optimization
A company has a customer service application that uses Amazon Bedrock to generate personalized responses to customer inquiries. The company needs to establish a quality assurance p...
Generative AI EvaluationPrompt EngineeringModel Quality AssuranceDeployment Gates - Question #86Data for Generative AI
A hotel company wants to enhance a legacy Java-based property management system (PMS) by adding AI capabilities. The company wants to use Amazon Bedrock Knowledge Bases to provide...
Amazon Bedrock Knowledge BasesMulti-tenancyAccess ControlRAG Architecture - Question #87Deployment, Operations, and Optimization
You are developing a generative AI application that requires large-scale text generation using a pre-trained language model. Which of the following AWS services would be the most s...
Model DeploymentReal-time InferenceAmazon SageMakerGenerative AI - Question #88Model Development and Training
You are working with a large dataset to train a generative model. The dataset is stored in an S3 bucket, and the training process requires significant compute resources. Which of t...
SageMaker Distributed TrainingSpot InstancesTraining Optimization - Question #89Generative AI Foundations
Which AWS service is specifically designed to help developers with natural language understanding (NLU) tasks, such as sentiment analysis, entity recognition, and language translat...
AWS AI ServicesNatural Language ProcessingAmazon ComprehendNLU tasks - Question #90Model Development and Training
Your team is working on fine-tuning a pre-trained model for a generative AI application. What should you do to minimize training time and costs while ensuring the model performs we...
SageMakerSpot InstancesCost OptimizationModel Training - Question #91Deployment, Operations, and Optimization
A company is building a generative AI (GenAI) application that processes financial reports and provides summaries for analysts. The application must run two compute environments. I...
Amazon BedrockConversational AIIAM authenticationGenAI Application Design - Question #92Generative AI Foundations
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 s...
Retrieval Augmented Generation (RAG)Bedrock GuardrailsHallucination MitigationFactual Accuracy - Question #93Data for Generative AI
A software company is using Amazon Q Business to build an AI assistant that allows employees to access company information and personal information by using natural language prompt...
Amazon QS3 Data SourceAccess ControlIAM Identity Center - Question #94Deployment, Operations, and Optimization
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 requ...
Amazon BedrockProvisioned ThroughputAPI IntegrationThrottling - Question #95Data for Generative AI
A GenAI developer is building a Retrieval Augmented Generation (RAG)-based customer support application that uses Amazon Bedrock foundation models (FMs). The application needs to p...
Data ProcessingPII RedactionEmbeddingsWorkflow Orchestration