AIF-C01 Exam Questions
377 real AIF-C01 exam questions with expert-verified answers and explanations. Page 2 of 8.
- Question #51
How can companies use large language models (LLMs) securely on Amazon Bedrock?
Amazon Bedrock securityLLM securityAWS IAM rolesPrompt engineering - Question #52
A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources. Which AI learning...
AI learning strategiesReinforcement learningChatbot AI - Question #53Security and Compliance
A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply...
SageMaker JumpStartAI/ML complianceData protectionThreat detection - Question #54Machine Learning Implementation & Operations
An e-commerce company wants to build a solution to determine customer sentiments based on written customer reviews of products. Which AWS services meet these requirements? (Select...
Amazon ComprehendAmazon BedrockSentiment analysis - Question #55
A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the com...
Generative AIPrompt engineeringContent generation - Question #56
A student at a university is copying content from generative AI to write essays. Which challenge of responsible generative AI does this scenario represent?
Generative AI ethicsAI responsible usePlagiarism - Question #57
A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the ch...
Foundation ModelsPrompt EngineeringAI ChatbotGenerative AI control - Question #58
A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disp...
ML model biasData biasAI fairnessAlgorithmic bias - Question #59Implement Machine Learning Solutions
A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to classify the sentiment of text passages as positive or negative....
LLM Prompt EngineeringAmazon BedrockSentiment AnalysisFew-shot Prompting - Question #60
Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?
Foundation ModelsSageMaker JumpStartAI/ML Deployment - Question #61
A company has a database of petabytes of unstructured data from internal sources. The company wants to transform this data into a structured format so that its data scientists can...
AWS GlueETLData transformationML data preparation - Question #62ML Implementation and Operations
A company has thousands of customer support interactions per day and wants to analyze these interactions to identify frequently asked questions and develop insights. Which AWS serv...
Amazon ComprehendText AnalyticsNLPAI/ML Services - Question #63
Which type of learning involves an agent improving its actions based on a system of rewards and penalties?
Reinforcement LearningMachine Learning Fundamentals - Question #64
Your company plans to launch a chatbot to improve customer service using generative AI. Which AWS services and techniques will support this use case?
Generative AIChatbot developmentAmazon BedrockAmazon Lex - Question #65
Which practices are essential for selecting datasets to ensure responsible AI? (Choose two.)
Responsible AIDataset selectionAI fairnessData diversity - Question #66
You are tasked with building a solution to classify customer reviews as positive or negative. The solution must handle real-time inferencing. Which of the following approaches and...
SageMaker model trainingSageMaker model deploymentReal-time inferenceText classification - Question #67
An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model d...
Amazon Bedrock Custom ModelsTraining Data PrivacyModel Retraining StrategiesConfidential Data Management - Question #68Database
Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?
Amazon OpenSearch Servicevector databasenearest neighbor search - Question #69
A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months. Which AWS solution should the company use to automate...
Amazon QAmazon QuickSightData VisualizationBusiness Intelligence - Question #70
A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure th...
Amazon BedrockGuardrails for Amazon BedrockAI Content SafetyGenerative AI Moderation - Question #71Machine Learning Operations
A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model. The company needs to...
ML model deploymentServerless inferenceSageMaker Serverless InferenceModel hosting - Question #72Machine Learning Concepts
A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company...
Unsupervised learningCustomer segmentationUnlabeled dataMachine learning methodology - Question #73
A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts. An AI practitioner is writi...
ML explainabilityPartial dependence plotsModel transparency - Question #74
Which option is a use case for generative AI models?
Generative AI modelsText-to-image generationGenerative AI applications - Question #75
An AI practitioner is using a large language model (LLM) to create content for marketing campaigns. The generated content sounds plausible and factual but is incorrect. Which probl...
LLM hallucinationGenerative AI issuesLarge language models - Question #76ERROR: No domains were provided in the list.
A loan company is building a generative AI-based solution to offer new applicants discounts based on specific business criteria. The company wants to build and use an AI model resp...
Generative AI ethicsAI bias detectionResponsible AI principlesModel fairness evaluation - Question #77Machine Learning Operations
A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements. Whi...
SageMaker ClarifyExplainable AIFoundation Models - Question #78Responsible AI
A healthcare organization plans to use AI to process patient data while adhering to HIPAA regulations. What measures should they implement to secure the AI system?
HIPAA complianceAWS KMS encryptionAWS PrivateLinkSageMaker Clarify - Question #79
What is the purpose of the temperature parameter in generative AI models?
Generative AIAI model parametersTemperature parameter - Question #80
Your organization is building an AI-powered e-commerce recommendation engine using foundation models. Which AWS services will you choose for this use case?
Generative AIFoundation ModelsAmazon BedrockAmazon SageMaker - Question #81Responsible AI
An accounting firm wants to implement a large language model (LLM) to automate document processing. The firm must proceed responsibly to avoid potential harms. What should the firm...
Responsible AILLM bias mitigationAI fairness metrics - Question #82Model Evaluation
A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctl...
Image classificationModel evaluationClassification metricsAccuracy - Question #83
A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The compan...
Amazon Bedrock AgentsAI workflow automationCustomer support automation - Question #84
A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level. Which solution will meet these requirement...
Foundation ModelsModel TrainingTraining EpochsModel Accuracy - Question #85Responsible AI
A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted ima...
Content moderationAI safetyImage moderationChatbot safety - Question #86Designing AI/ML Solutions
A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents. Which soluti...
Large Language Models (LLMs)Text SummarizationAI Application DesignContent Extraction - Question #87Modeling
A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects...
Decision TreesClassification AlgorithmsModel Interpretability - Question #88Security
A company wants to develop a large language model (LLM) application by using Amazon Bedrock and customer data that is uploaded to Amazon S3. The company's security policy states th...
Amazon BedrockAmazon S3IAM Service RolesData Access Control - Question #89
What is the primary purpose of Amazon SageMaker Model Cards?
Amazon SageMaker Model CardsML GovernanceModel DocumentationAI Transparency - Question #90
Which of the following is a key feature of responsible AI systems?
Responsible AIAI principles - Question #91Fundamentals of Generative AI
What is the primary role of fine-tuning in the foundation model lifecycle?
Fine-tuningFoundation ModelsModel lifecycleDomain adaptation - Question #92
A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is enc...
Amazon BedrockAmazon S3SSE-S3IAM Permissions - Question #93Data Storage for AI/ML Workloads
A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to...
Amazon BedrockAmazon S3Foundation Model DataModel Validation - Question #94
A company wants to assess the costs that are associated with using a large language model (LLM) to generate inferences. The company wants to use Amazon Bedrock to build generative...
Amazon BedrockLLM inference costsToken-based pricing - Question #95
An AI company periodically evaluates its systems and processes with the help of independent software vendors (ISVs). The company needs to receive email message notifications when a...
AWS Data ExchangeISV dataCompliance reporting - Question #96
A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company needs the LLM to produce more consistent responses to the same input promp...
Amazon BedrockLLM inference parametersTemperature parameterModel response consistency - Question #97
A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's privat...
Amazon BedrockKnowledge BasesFoundation ModelsRAG - Question #98
Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?
SageMaker Model CardsAI model documentation - Question #99ERROR: Official Exam Domains list was not provided in the prompt.
A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication. Which solution meets these requirements?
Text SummarizationAmazon BedrockLarge Language ModelsGenerative AI - Question #101
A company needs to train an ML model to classify images of different types of animals. The company has a large dataset of labeled images and will not label more data. Which type of...
Supervised learningImage classificationLabeled datasets