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Free AWS AIF-C01 Practice Questions & Answers 2026 Part3

Are you preparing for the AWS AIF-C01 certification exam? SPOTO offers the AWS AIF-C01 Premium File; all questions are aligned with the latest exam content and come with expert-provided answers. Our question banks cover the latest question types, core concepts, and detailed explanations, helping you familiarize yourself with the exam format and difficulty level. Whether you are reviewing core concepts or simulating a real exam environment, these resources will rapidly boost your confidence and readiness.
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Question #1
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.What should the company do to meet these requirements?
A. Evaluate the models by using built-in prompt datasets
B. Evaluate the models by using a human workforce and custom prompt datasets
C. Use public model leaderboards to identify the model
D. Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models
View answer
Correct Answer: B
Question #2
A student at a university is copying content from generative AI to write essays.Which challenge of responsible generative AI does this scenario represent?
A. Toxicity
B. Hallucinations
C. Plagiarism
D. Privacy
View answer
Correct Answer: C
Question #3
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 that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?
A. Amazon Rekognition
B. Amazon Bedrock playgrounds
C. Guardrails for Amazon Bedrock
D. Agents for Amazon Bedrock
View answer
Correct Answer: C
Question #4
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 requirements?
A. Decrease the batch size
B. Increase the epochs
C. Decrease the epochs
D. Increase the temperature parameter
View answer
Correct Answer: B
Question #5
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 responsibly to minimize bias that could negatively affect some customers.Which actions should the company take to meet these requirements? (Choose two.)
A. Detect imbalances or disparities in the data
B. Ensure that the model runs frequently
C. Evaluate the model's behavior so that the company can provide transparency to stakeholders
D. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate
E. Ensure that the model's inference time is within the accepted limits
View answer
Correct Answer: AC
Question #6
A company is developing an ML model to make loan approvals. The company must implement a solution to detect bias in the model. The company must also be able to explain the model ' s predictions.Which solution will meet these requirements?
A. mazon SageMaker Model Cards
B. mazon SageMaker Clarify
C. WS AI Service Cards
D. mazon SageMaker Data Wrangler
View answer
Correct Answer: B
Question #7
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 that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?
A. Amazon Rekognition
B. Amazon Bedrock playgrounds
C. Guardrails for Amazon Bedrock
D. Agents for Amazon Bedrock
View answer
Correct Answer: C
Question #8
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.What should the company do to meet these requirements?
A. Evaluate the models by using built-in prompt datasets
B. Evaluate the models by using a human workforce and custom prompt datasets
C. Use public model leaderboards to identify the model
D. Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models
View answer
Correct Answer: B
Question #9
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 any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?
A. AWS Audit Manager
B. AWS CloudTrail
C. Amazon Fraud Detector
D. AWS Trusted Advisor
View answer
Correct Answer: B
Question #10
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 action must the company take to use the custom model through Amazon Bedrock?
A. Purchase Provisioned Throughput for the custom model
B. Deploy the custom model in an Amazon SageMaker endpoint for real-time inference
C. Register the model with the Amazon SageMaker Model Registry
D. Grant access to the custom model in Amazon Bedrock
View answer
Correct Answer: A
Question #11
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 for new, related tasks.Which ML strategy meets these requirements?
A. Increase the number of epochs
B. Use transfer learning
C. Decrease the number of epochs
D. Use unsupervised learning
View answer
Correct Answer: B
Question #12
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 that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?
A. Amazon Rekognition
B. Amazon Bedrock playgrounds
C. Guardrails for Amazon Bedrock
D. Agents for Amazon Bedrock
View answer
Correct Answer: C
Question #13
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 implement a solution to host the model and serve predictions without managing any of the underlying infrastructure.Which solution will meet these requirements?
A. Use Amazon SageMaker Serverless Inference to deploy the model
B. Use Amazon CloudFront to deploy the model
C. Use Amazon API Gateway to host the model and serve predictions
D. Use AWS Batch to host the model and serve predictions
View answer
Correct Answer: A
Question #14
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 pricing model meets these requirements?
A. On-Demand
B. Model customization
C. Provisioned Throughput
D. Spot Instance
View answer
Correct Answer: A
Question #15
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 process.Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?
A. Amazon EC2 C series
B. Amazon EC2 G series
C. Amazon EC2 P series
D. Amazon EC2 Trn series
View answer
Correct Answer: D
Question #16
A student at a university is copying content from generative AI to write essays.Which challenge of responsible generative AI does this scenario represent?
A. Toxicity
B. Hallucinations
C. Plagiarism
D. Privacy
View answer
Correct Answer: C
Question #17
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 of the customer calls.Which solution meets these requirements?
A. xtract information from call recordings by using Amazon SageMaker Model Monitor
B. uild a conversational chatbot by using Amazon Lex
C. ranscribe call recordings by using Amazon Transcribe
D. reate classification labels by using Amazon Comprehend
View answer
Correct Answer: C
Question #18
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 action must the company take to use the custom model through Amazon Bedrock?
A. Purchase Provisioned Throughput for the custom model
B. Deploy the custom model in an Amazon SageMaker endpoint for real-time inference
C. Register the model with the Amazon SageMaker Model Registry
D. Grant access to the custom model in Amazon Bedrock
View answer
Correct Answer: A
Question #19
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 will meet these requirements?
A. Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
B. Data augmentation by using an Amazon Bedrock knowledge base
C. Image recognition by using Amazon Rekognition
D. Data summarization by using Amazon QuickSight
View answer
Correct Answer: A
Question #20
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 solution meets these requirements MOST cost-effectively?
A. Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock
B. Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock
C. Use all the PDF documents to fine-tune a model with Amazon Bedrock
D. Upload PDF documents to an Amazon Bedrock knowledge base
View answer
Correct Answer: D
Question #21
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 process.Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?
A. Amazon EC2 C series
B. Amazon EC2 G series
C. Amazon EC2 P series
D. Amazon EC2 Trn series
View answer
Correct Answer: D
Question #22
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 requirements?
A. Deploy optimized small language models (SLMs) on edge devices
B. Deploy optimized large language models (LLMs) on edge devices
C. Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices
D. Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices
View answer
Correct Answer: A
Question #23
Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?
A. Integration with Amazon S3 for object storage
B. Support for geospatial indexing and queries
C. Scalable index management and nearest neighbor search capability
D. Ability to perform real - time analysis on streaming data
View answer
Correct Answer: C
Question #24
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 that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?
A. Amazon Rekognition
B. Amazon Bedrock playgrounds
C. Guardrails for Amazon Bedrock
D. Agents for Amazon Bedrock
View answer
Correct Answer: C
Question #25
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 input text that employees provide. The employees have minimal experience with technology.Which solution meets these requirements?
A. enerative pre-trained transformers (GPT)
B. esidual neural network
C. upport vector machine
D. aveNet
View answer
Correct Answer: A
Question #26
A student at a university is copying content from generative AI to write essays.Which challenge of responsible generative AI does this scenario represent?
A. Toxicity
B. Hallucinations
C. Plagiarism
D. Privacy
View answer
Correct Answer: C
Question #27
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.What should the company do to meet these requirements?
A. Evaluate the models by using built-in prompt datasets
B. Evaluate the models by using a human workforce and custom prompt datasets
C. Use public model leaderboards to identify the model
D. Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models
View answer
Correct Answer: B
Question #28
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 will meet these requirements?
A. Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
B. Data augmentation by using an Amazon Bedrock knowledge base
C. Image recognition by using Amazon Rekognition
D. Data summarization by using Amazon QuickSight Q
View answer
Correct Answer: A
Question #29
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 responsibly to minimize bias that could negatively affect some customers.Which actions should the company take to meet these requirements? (Choose two.)
A. Detect imbalances or disparities in the data
B. Ensure that the model runs frequently
C. Evaluate the model's behavior so that the company can provide transparency to stakeholders
D. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate
E. Ensure that the model's inference time is within the accepted limits
View answer
Correct Answer: AC
Question #30
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, the model's performance decreased significantly.What should the company do to mitigate this problem?
A. educe the volume of data that is used in training
B. dd hyperparameters to the model
C. ncrease the volume of data that is used in training
D. ncrease the model training time
View answer
Correct Answer: C
Question #31
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 private data sources.Which solution will meet this requirement?
A. se a different FM
B. hoose a lower temperature value
C. reate an Amazon Bedrock knowledge base
D. nable model invocation logging
View answer
Correct Answer: C
Question #32
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 data-driven predictive model. The company needs to perform analysis on internal data and external data.Which solution will meet these requirements?
A. Store the data in Amazon S3
B. Import the data into Amazon SageMaker Data Wrangler
C. Import the data into Amazon SageMaker Data Wrangler
D. Import the data into Amazon SageMaker Canvas
View answer
Correct Answer: D
Question #33
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 responsibly to minimize bias that could negatively affect some customers.Which actions should the company take to meet these requirements? (Choose two.)
A. Detect imbalances or disparities in the data
B. Ensure that the model runs frequently
C. Evaluate the model's behavior so that the company can provide transparency to stakeholders
D. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate
E. Ensure that the model's inference time is within the accepted limits
View answer
Correct Answer: AC
Question #34
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.Which solution will meet these requirements?
A. Configure the security and compliance by using Amazon Inspector
B. Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify
C. Encrypt and secure training data by using Amazon Macie
D. Gather more data
View answer
Correct Answer: B
Question #35
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 responsibly to minimize bias that could negatively affect some customers.Which actions should the company take to meet these requirements? (Choose two.)
A. Detect imbalances or disparities in the data
B. Ensure that the model runs frequently
C. Evaluate the model's behavior so that the company can provide transparency to stakeholders
D. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate
E. Ensure that the model's inference time is within the accepted limits
View answer
Correct Answer: AC
Question #36
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 encrypted with Amazon S3 managed keys (SSE-S3).The FM encounters a failure when attempting to access the S3 bucket data.Which solution will meet these requirements?
A. Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key
B. Set the access permissions for the S3 buckets to allow public access to enable access over the internet
C. Use prompt engineering techniques to tell the model to look for information in Amazon S3
D. Ensure that the S3 data does not contain sensitive information
View answer
Correct Answer: A
Question #37
A student at a university is copying content from generative AI to write essays.Which challenge of responsible generative AI does this scenario represent?
A. Toxicity
B. Hallucinations
C. Plagiarism
D. Privacy
View answer
Correct Answer: C
Question #38
Which metric measures the runtime efficiency of operating AI models?
A. Customer satisfaction score (CSAT)
B. Training time for each epoch
C. Average response time
D. Number of training instances
View answer
Correct Answer: C
Question #39
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 data-driven predictive model. The company needs to perform analysis on internal data and external data.Which solution will meet these requirements?
A. Store the data in Amazon S3
B. Import the data into Amazon SageMaker Data Wrangler
C. Import the data into Amazon SageMaker Data Wrangler
D. Import the data into Amazon SageMaker Canvas
View answer
Correct Answer: D
Question #40
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 on the matrix.Which solution scope gives the company the MOST ownership of security responsibilities?
A. Using a third-party enterprise application that has embedded generative AI features
B. Building an application by using an existing third-party generative AI foundation model (FM)
C. Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business
D. Building and training a generative AI model from scratch by using specific data that a customer owns
View answer
Correct Answer: D
Question #41
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 responsibly to minimize bias that could negatively affect some customers.Which actions should the company take to meet these requirements? (Choose two.)
A. Detect imbalances or disparities in the data
B. Ensure that the model runs frequently
C. Evaluate the model's behavior so that the company can provide transparency to stakeholders
D. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate
E. Ensure that the model's inference time is within the accepted limits
View answer
Correct Answer: AC
Question #42
A company is using a pre-trained large language model (LLM) to extract information from documents. The company noticed that a newer LLM from a different provider is available on Amazon Bedrock. The company wants to transition to the new LLM on Amazon Bedrock.What does the company need to do to transition to the new LLM?
A. Create a new labeled dataset
B. Perform feature engineering
C. Adjust the prompt template
D. Fine-tune the LLM
View answer
Correct Answer: C
Question #43
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 will meet these requirements?
A. Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
B. Data augmentation by using an Amazon Bedrock knowledge base
C. Image recognition by using Amazon Rekognition
D. Data summarization by using Amazon QuickSight Q
View answer
Correct Answer: A
Question #44
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 correctly.Which evaluation metric should the company use to measure the model's performance?
A. R-squared score
B. Accuracy
C. Root mean squared error (RMSE)
D. Learning rate
View answer
Correct Answer: B
Question #45
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 responsibly to minimize bias that could negatively affect some customers.Which actions should the company take to meet these requirements? (Choose two.)
A. Detect imbalances or disparities in the data
B. Ensure that the model runs frequently
C. Evaluate the model's behavior so that the company can provide transparency to stakeholders
D. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate
E. Ensure that the model's inference time is within the accepted limits
View answer
Correct Answer: AC
Question #46
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 language.Which solution will align the LLM response quality with the company's expectations?
A. djust the prompt
B. hoose an LLM of a different size
C. ncrease the temperature
D. ncrease the Top K value
View answer
Correct Answer: A
Question #47
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 that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?
A. Amazon Rekognition
B. Amazon Bedrock playgrounds
C. Guardrails for Amazon Bedrock
D. Agents for Amazon Bedrock
View answer
Correct Answer: C
Question #48
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 data-driven predictive model. The company needs to perform analysis on internal data and external data.Which solution will meet these requirements?
A. Store the data in Amazon S3
B. Import the data into Amazon SageMaker Data Wrangler
C. Import the data into Amazon SageMaker Data Wrangler
D. Import the data into Amazon SageMaker Canvas
View answer
Correct Answer: D
Question #49
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 data-driven predictive model. The company needs to perform analysis on internal data and external data.Which solution will meet these requirements?
A. Store the data in Amazon S3
B. Import the data into Amazon SageMaker Data Wrangler
C. Import the data into Amazon SageMaker Data Wrangler
D. Import the data into Amazon SageMaker Canvas
View answer
Correct Answer: D
Question #50
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 process.Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?
A. Amazon EC2 C series
B. Amazon EC2 G series
C. Amazon EC2 P series
D. Amazon EC2 Trn series
View answer
Correct Answer: D
Question #51
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 the output.Which ML algorithm meets these requirements?
A. Decision trees
B. Linear regression
C. Logistic regression
D. Neural networks
View answer
Correct Answer: A
Question #52
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's products.Which methodology should the company use to meet these requirements?
A. Supervised learning
B. Unsupervised learning
C. Reinforcement learning
D. Reinforcement learning from human feedback (RLHF)
View answer
Correct Answer: B
Question #53
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 data-driven predictive model. The company needs to perform analysis on internal data and external data.Which solution will meet these requirements?
A. Store the data in Amazon S3
B. Import the data into Amazon SageMaker Data Wrangler
C. Import the data into Amazon SageMaker Data Wrangler
D. Import the data into Amazon SageMaker Canvas
View answer
Correct Answer: D
Question #54
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 responsibly to minimize bias that could negatively affect some customers.Which actions should the company take to meet these requirements? (Choose two.)
A. Detect imbalances or disparities in the data
B. Ensure that the model runs frequently
C. Evaluate the model's behavior so that the company can provide transparency to stakeholders
D. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate
E. Ensure that the model's inference time is within the accepted limits
View answer
Correct Answer: AC
Question #55
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 will meet these requirements?
A. uman-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
B. ata augmentation by using an Amazon Bedrock knowledge base
C. mage recognition by using Amazon Rekognition
D. ata summarization by using Amazon QuickSight Q
View answer
Correct Answer: A
Question #56
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 that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?
A. Amazon Rekognition
B. Amazon Bedrock playgrounds
C. Guardrails for Amazon Bedrock
D. Agents for Amazon Bedrock
View answer
Correct Answer: C
Question #57
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.Which solution will meet these requirements?
A. onfigure the security and compliance by using Amazon Inspector
B. enerate simple metrics, reports, and examples by using Amazon SageMaker Clarify
C. ncrypt and secure training data by using Amazon Macie
D. ather more data
View answer
Correct Answer: B
Question #58
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 solution meets these requirements?
A. Build an automatic named entity recognition system
B. Create a recommendation engine
C. Develop a summarization chatbot
D. Develop a multi-language translation system
View answer
Correct Answer: C
Question #59
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 chatbot. The chatbot needs to produce responses that adhere to company tone.Which solution meets these requirements?
A. efine a higher number for the temperature parameter
B. se batch inferencing to process detailed responses
C. et a low limit on the number of tokens the FM can produce
D. efine the prompt until the FM produces the desired responses
View answer
Correct Answer: D
Question #60
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 help the company meet these requirements?
A. Create software snippets, reference tracking, and open source license tracking
B. Run an application without provisioning or managing servers
C. Enable voice commands for coding and providing natural language search
D. Convert audio files to text documents by using ML models
View answer
Correct Answer: A
Question #61
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 process.Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?
A. Amazon EC2 C series
B. Amazon EC2 G series
C. Amazon EC2 P series
D. Amazon EC2 Trn series
View answer
Correct Answer: D
Question #62
A student at a university is copying content from generative AI to write essays.Which challenge of responsible generative AI does this scenario represent?
A. Toxicity
B. Hallucinations
C. Plagiarism
D. Privacy
View answer
Correct Answer: C
Question #63
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?
A. Generative adversarial network (GAN)
B. XGBoost
C. Residual neural network
D. WaveNet
View answer
Correct Answer: A
Question #64
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?
A. Generative adversarial network (GAN)
B. XGBoost
C. Residual neural network
D. WaveNet
View answer
Correct Answer: A
Question #65
An AI practitioner needs to improve the accuracy of a natural language generation model. The model uses rapidly changing inventory data.Which technique will improve the model's accuracy?
A. Transfer learning
B. Federated learning
C. Retrieval Augmented Generation (RAG)
D. One-shot prompting
View answer
Correct Answer: C
Question #66
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.What should the company do to meet these requirements?
A. Evaluate the models by using built-in prompt datasets
B. Evaluate the models by using a human workforce and custom prompt datasets
C. Use public model leaderboards to identify the model
D. Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models
View answer
Correct Answer: B
Question #67
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 action must the company take to use the custom model through Amazon Bedrock?
A. Purchase Provisioned Throughput for the custom model
B. Deploy the custom model in an Amazon SageMaker endpoint for real-time inference
C. Register the model with the Amazon SageMaker Model Registry
D. Grant access to the custom model in Amazon Bedrock
View answer
Correct Answer: A
Question #68
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.What should the company do to meet these requirements?
A. Evaluate the models by using built-in prompt datasets
B. Evaluate the models by using a human workforce and custom prompt datasets
C. Use public model leaderboards to identify the model
D. Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models
View answer
Correct Answer: B
Question #69
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 consideration will inform the company's decision?
A. Temperature
B. Context window
C. Batch size
D. Model size
View answer
Correct Answer: B
Question #70
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?
A. raining
B. nference
C. odel deployment
D. ias correction
View answer
Correct Answer: B
Question #71
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?
A. Generative adversarial network (GAN)
B. XGBoost
C. Residual neural network
D. WaveNet
View answer
Correct Answer: A
Question #72
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 that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?
A. Amazon Rekognition
B. Amazon Bedrock playgrounds
C. Guardrails for Amazon Bedrock
D. Agents for Amazon Bedrock
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Correct Answer: C
Question #73
A student at a university is copying content from generative AI to write essays.Which challenge of responsible generative AI does this scenario represent?
A. Toxicity
B. Hallucinations
C. Plagiarism
D. Privacy
View answer
Correct Answer: C
Question #74
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 process.Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?
A. Amazon EC2 C series
B. Amazon EC2 G series
C. Amazon EC2 P series
D. Amazon EC2 Trn series
View answer
Correct Answer: D
Question #75
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?
A. Generative adversarial network (GAN)
B. XGBoost
C. Residual neural network
D. WaveNet
View answer
Correct Answer: A
Question #76
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 techniques to perform undesirable actions or expose sensitive information.Which action will reduce these risks?
A. Create a prompt template that teaches the LLM to detect attack patterns
B. Increase the temperature parameter on invocation requests to the LLM
C. Avoid using LLMs that are not listed in Amazon SageMaker
D. Decrease the number of input tokens on invocations of the LLM
View answer
Correct Answer: A
Question #77
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, the model's performance decreased significantly.What should the company do to mitigate this problem?
A. Reduce the volume of data that is used in training
B. Add hyperparameters to the model
C. Increase the volume of data that is used in training
D. Increase the model training time
View answer
Correct Answer: C
Question #78
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 action must the company take to use the custom model through Amazon Bedrock?
A. Purchase Provisioned Throughput for the custom model
B. Deploy the custom model in an Amazon SageMaker endpoint for real-time inference
C. Register the model with the Amazon SageMaker Model Registry
D. Grant access to the custom model in Amazon Bedrock
View answer
Correct Answer: A
Question #79
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 for new, related tasks.Which ML strategy meets these requirements?
A. Increase the number of epochs
B. Use transfer learning
C. Decrease the number of epochs
D. Use unsupervised learning
View answer
Correct Answer: B
Question #80
Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?
A. Integration with Amazon S3 for object storage
B. Support for geospatial indexing and queries
C. Scalable index management and nearest neighbor search capability
D. Ability to perform real-time analysis on streaming data
View answer
Correct Answer: C
Question #81
A media streaming platform wants to provide movie recommendations to users based on the users' account history. Amazon Personalize is a fully managed ML service for personalized recommendations (movies, products, music, etc.) based on user behavior and history. Polly converts text to lifelike speech. Comprehend performs NLP tasks like sentiment analysis. Transcribe is speech-to-text. Reference: AWS Documentation -- Amazon Personalize
A. Amazon Polly
B. Amazon Comprehend
C. Amazon Transcribe
D. Amazon Personalize
View answer
Correct Answer: D
Question #82
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 responsibly to minimize bias that could negatively affect some customers.Which actions should the company take to meet these requirements? (Choose two.)
A. Detect imbalances or disparities in the data
B. Ensure that the model runs frequently
C. Evaluate the model's behavior so that the company can provide transparency to stakeholders
D. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate
E. Ensure that the model's inference time is within the accepted limits
View answer
Correct Answer: AC
Question #83
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 company's brand voice and messaging requirements.Which solution meets these requirements?
A. Optimize the model's architecture and hyperparameters to improve the model's overall performance
B. Increase the model's complexity by adding more layers to the model's architecture
C. Create effective prompts that provide clear instructions and context to guide the model's generation
D. Select a large, diverse dataset to pre-train a new generative model
View answer
Correct Answer: C

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