AIF-C01 Exam Questions
378 real AIF-C01 exam questions with expert-verified answers and explanations. Page 1 of 8.
- Question #1
A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations. Which solution...
Amazon SageMaker Ground Truth PlusHuman-in-the-loopData labelingML data quality - Question #2Security
A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify a...
AWS CloudTrailSecurity loggingUnauthorized access detectionIAM - Question #3Machine Learning Solutions
A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company...
Amazon TextractOCRPDF to text conversionDocument processing - Question #4Generative AI on AWS
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files. Which so...
Amazon BedrockLLM applicationsRetrieval Augmented Generation (RAG)Cost optimization - Question #5
Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual i...
AI conceptsNLPEmbeddings - Question #6Foundations of Generative AI
A company is building an application that needs to generate synthetic data that is based on existing data. Which type of model can the company use to meet this requirement?
Generative AIGenerative adversarial networkGANSynthetic data generation - Question #7
A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer. What can Amazon Q Developer do to hel...
Amazon Q DeveloperGenerative AICode GenerationDeveloper Productivity - Question #8Cost Management
A company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment. Which Amazon Bedrock pricin...
Amazon BedrockBedrock pricingOn-Demand pricing - Question #9
A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a dat...
SageMaker CanvasNo-code MLPredictive analyticsDemand forecasting - Question #10
What are tokens in the context of generative AI models?
Generative AI tokensAI fundamentalsTokenization - Question #11Model Monitoring
An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to moni...
Amazon BedrockInvocation loggingModel monitoring - Question #12
A company needs to build its own large language model (LLM) based on only the company's private data. The company is concerned about the environmental effect of the training proces...
EC2 Trn instancesLLM trainingMachine learning acceleratorsSustainable AI - Question #13Networking
A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed ac...
AWS PrivateLinkVPC private connectivityNetwork complianceAmazon Bedrock private access - Question #14
A company built a deep learning model for object detection and deployed the model to production. Which AI process occurs when the model analyzes a new image to identify objects?
AI/ML inferenceDeep learning conceptsObject detection - Question #15Data Engineering
A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data...
SageMaker networkingS3 Gateway EndpointPrivate connectivity - Question #16
A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models...
Transfer learningPre-trained modelsML strategies - Question #17
A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source. Which solution meets these requireme...
Anomaly DetectionAI SecurityThreat Detection - Question #18
A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering te...
Prompt injection mitigationLLM securityPrompt engineeringAI guardrails - Question #19Modeling
A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, th...
Model OverfittingMachine Learning PerformanceTraining Data Volume - Question #20None
A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probab...
ML solution designOperational overheadRule-based algorithmsProbability calculations - Question #21Model Evaluation
Which functionality does Amazon SageMaker Clarify provide?
SageMaker ClarifyML model biasdata preparation bias - Question #22
A company is building an ML model. The company collected new data and analyzed the data by creating a correlation matrix, calculating statistics, and visualizing the data. Which st...
ML pipeline stagesExploratory data analysisData analysisData visualization - Question #23
A company has documents that are missing some words because of a database error. The company wants to build an ML model that can suggest potential words to fill in the missing text...
Natural Language ProcessingBERT modelsText completionModel selection - Question #24
A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few...
Amazon BedrockLLMFew-shot learningIntent detection - Question #25
A company is building a large language model (LLM) question answering chatbot. The company wants to decrease the number of actions call center employees need to take to respond to...
LLM chatbotBusiness metricsOperational efficiencyAI impact - Question #26
A company is using few-shot prompting on a base model that is hosted on Amazon Bedrock. The model currently uses 10 examples in the prompt. The model is invoked once daily and is p...
Amazon BedrockLLM cost optimizationFew-shot promptingPrompt token usage - Question #27
A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt. Which consider...
Amazon BedrockLLMContext window - Question #28NO_OFFICIAL_DOMAINS_PROVIDED
An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance. Which metric will h...
Model evaluationClassification metricsConfusion matrix - Question #29
An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attribute...
AI model biasData bias mitigationData augmentationResponsible AI - Question #30ML Implementation
A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access...
SageMaker Batch TransformML inferenceBatch processingOffline predictions - Question #31Model Evaluation
A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer....
Amazon BedrockLLM evaluationModel selectionHuman evaluation - Question #32Security
A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based...
Generative AI securityAI shared responsibilityAI solution scopesModel ownership - Question #33
A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company ne...
SageMaker inferenceReal-time inferenceML deploymentLatency considerations - Question #34
A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible. Which solution will meet these r...
Edge AISLM deploymentLow-latency inference - Question #35Data Engineering
A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio o...
Amazon TranscribeSpeech-to-textAudio analysisContact center solutions - Question #36
A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams. Which SageMaker feature...
Amazon SageMaker Feature StoreML feature managementMLOpsML model development - Question #37
A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific...
LLM Prompt EngineeringLLM Output CustomizationChatbot Development - Question #38
A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data. Which st...
Foundation Model fine-tuningAmazon BedrockLabeled data training - Question #39
An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort. Which...
Object detectionComputer VisionImage analysis - Question #40Optimize ML Performance
A research company implemented a chatbot by using a foundation model (FM) from Amazon Bedrock. The chatbot searches for answers to questions from a large database of research paper...
Amazon BedrockFoundation Model Fine-tuningDomain Adaptation - Question #41Responsible AI
A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient info...
Guardrails for Amazon BedrockAI Content FilteringData Privacy ComplianceAmazon CloudWatch Alarms - Question #42Prompt Engineering
An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically chang...
Generative AIPrompt engineeringModel output controlContextual prompting - Question #43Model Evaluation
A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against...
LLM evaluationBias detectionContent moderationBenchmark datasets - Question #44Modeling
Which strategy evaluates the accuracy of a foundation model (FM) that is used in image classification tasks?
Model evaluationML accuracyImage classificationFoundation models - Question #45
A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from inp...
Generative AILarge Language ModelsNatural Language to SQLAI service selection - Question #46
Which metric measures the runtime efficiency of operating AI models?
AI model performanceOperational metricsRuntime efficiency - Question #47Model Development
Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)?
fine-tuningfoundation modelpre-trainingmodel performance - Question #48
An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images. Which type of FM shoul...
Foundation ModelsMulti-modal EmbeddingsAI Search Applications - Question #49Deploy and Operate Generative AI Solutions
A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality. Which acti...
Amazon BedrockCustom model deploymentSageMaker inference endpoints - Question #50
A company has built a solution by using generative AI. The solution uses large language models (LLMs) to translate training manuals from English into other languages. The company w...
Generative AI evaluationLLM translationNLP metricsBLEU score