Free AWS AIF-C01 Practice Questions & Answers 2026 Part1

Question #1

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 access to any internet traffic.Which AWS service or feature will meet these requirements?

A. AWS PrivateLink

B. Amazon Macie

C. Amazon CloudFront

D. Internet gateway

View answer

Correct Answer: A

Question #2

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? Comprehensive and Detailed Explanation From Exact AWS AI documents: Prompt engineering is the primary method for controlling tone, style, and behavior of foundation model responses. AWS generative AI guidance explains that: Prompts can define tone, voice, and response structure Iterative refinement ensures consistent outputs Prompt refinement requires no model retraining Why the other options are incorrect: Token limits (A) affect length, not tone. Batch inferencing (B) affects processing mode, not response style. Higher temperature (D) increases randomness, reducing consistency. AWS AI document references: Prompt Engineering Best Practices Controlling Model Output Tone

A. Set a low limit on the number of tokens the FM can produce

B. Use batch inferencing to process detailed responses

C. Refine the prompt until the FM produces the desired responses

D. Define a higher number for the temperature parameter

View answer

Correct Answer: C

Question #3

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 #4

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 #5

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 needs near real-time latency.Which SageMaker inference option meets these requirements?

A. eal-time inference

B. erverless inference

C. synchronous inference

D. atch transform

View answer

Correct Answer: C

Question #6

An education company wants to build a private tutor application. The application will give users the ability to enter text or provide a picture of a question. The application will respond with a written answer and an explanation of the written answer. Which model type meets these requirements? Comprehensive and Detailed Explanation From Exact AWS AI documents: A multimodal large language model (LLM) can: Accept both text and image inputs Understand visual and textual context Generate coherent written explanations AWS generative AI guidance positions multimodal LLMs as the best choice for applications requiring cross-modal understanding and text generation. Why the other options are incorrect: Computer vision (A) does not generate text explanations. Diffusion models (C) generate images. Text-to-speech (D) converts text to audio. AWS AI document references: Multimodal Foundation Models on AWS Building AI Tutors with Generative Models

A. Computer vision model

B. Multimodal LLM

C. Diffusion model

D. Text-to-speech model

View answer

Correct Answer: B

Question #7

Which AWS service makes foundation models (FMs) available to help users build and scale generative AI applications?

A. Amazon Q Developer

B. Amazon Bedrock

C. Amazon Kendra

D. Amazon Comprehend

View answer

Correct Answer: B

Question #8

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 #9

An AI practitioner is developing a recommendation system. The AI practitioner wants to document a business problem, data assumptions, training considerations, and usage risks. The company must follow guidelines for transparency and governance.Which Amazon SageMaker AI feature will meet these requirements?

A. odel Monitor

B. odel Registry

C. odel Cards

D. odel Dashboard

View answer

Correct Answer: C

Question #10

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 writing a report about the trained ML models to provide transparency and explainability to company stakeholders.What should the AI practitioner include in the report to meet the transparency and explainability requirements?

A. Code for model training

B. Partial dependence plots (PDPs)

C. Sample data for training

D. Model convergence tables

View answer

Correct Answer: B

Question #11

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 #12

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 with multiple regulatory frameworks.Which capabilities can the company show compliance for? (Choose two.)

A. uto scaling inference endpoints

B. hreat detection

C. ata protection

D. ost optimization

E. oosely coupled microservices

View answer

Correct Answer: BC

Question #13

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 #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?

A. Training

B. Inference

C. Model deployment

D. Bias correction

View answer

Correct Answer: B

Question #15

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 needs near real-time latency.Which SageMaker inference option meets these requirements?

A. Real-time inference

B. Serverless inference

C. Asynchronous inference

D. Batch transform

View answer

Correct Answer: C

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

Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?

A. Amazon Personalize

B. Amazon SageMaker JumpStart

C. PartyRock, an Amazon Bedrock Playground

D. Amazon SageMaker endpoints

View answer

Correct Answer: B

Question #18

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 #19

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 #20

A hospital is developing an AI system to assist doctors in diagnosing diseases based on patient records and medical images. To comply with regulations, the sensitive patient data must not leave the country the data is located in.Which data governance strategy will ensure compliance and protect patient privacy?

A. Data residency

B. Data quality

C. Data discoverability

D. Data enrichment

View answer

Correct Answer: A

Question #21

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. ecrease the batch size

B. ncrease the epochs

C. ecrease the epochs

D. ncrease the temperature parameter

View answer

Correct Answer: B

Question #22

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 #23

Which option is a use case for generative AI models?

A. Improving network security by using intrusion detection systems

B. Creating photorealistic images from text descriptions for digital marketing

C. Enhancing database performance by using optimized indexing

D. Analyzing financial data to forecast stock market trends

View answer

Correct Answer: B

Question #24

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 #25

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 #26

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 requirements?

A. Build a speech recognition system

B. Create a natural language processing (NLP) named entity recognition system

C. Develop an anomaly detection system

D. Create a fraud forecasting system

View answer

Correct Answer: C

Question #27

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 #28

A company has implemented a generative AI solution to create personalized exercise routines for premium subscription users. The company offers free basic subscriptions and paid premium subscriptions. The company wants to evaluate the AI solution ' s return on investment over time.

A. he average revenue per user (ARPU) over the past month

B. he conversion rate and the customer retention rate

C. he decrease in the number of premium customer queries and issue volume

D. he number of daily interactions by basic subscription users

View answer

Correct Answer: B

Question #29

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. Adjust the prompt

B. Choose an LLM of a different size

C. Increase the temperature

D. Increase the Top K value

View answer

Correct Answer: A

Question #30

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 #31

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 specific groups or individuals.Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?

A. User-generated content

B. Moderation logs

C. Content moderation guidelines

D. Benchmark datasets

View answer

Correct Answer: D

Question #32

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 #33

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. ecision trees

B. inear regression

C. ogistic regression

D. eural networks

View answer

Correct Answer: A

Question #34

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 #35

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 #36

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 #37

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 #38

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. nsure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key

B. et the access permissions for the S3 buckets to allow public access to enable access over the internet

C. se prompt engineering techniques to tell the model to look for information in Amazon S3

D. nsure that the S3 data does not contain sensitive information

View answer

Correct Answer: A

Question #39

A company needs to monitor the performance of its ML systems by using a highly scalable AWS service.Which AWS service meets these requirements?

A. WS Trusted Advisor

B. WS CloudTrail

C. WS Config

D. mazon CloudWatch

View answer

Correct Answer: D

Question #40

A company is analyzing financial transaction records. The company categorizes the records as either personal or business. The company inserts the categories into the transaction records. Which data preparation step does this describe?

A. Data encoding

B. Data labeling

C. Data normalization

D. Data balancing

View answer

Correct Answer: B

Question #41

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 #42

A company wants to create a chatbot to answer employee questions about company policies. Company policies are updated frequently. The chatbot must reflect the changes in near real time. The company wants to choose a large language model (LLM).

A. ine-tune an LLM on the company policy text by using Amazon SageMaker

B. reate a Retrieval Augmented Generation (RAG) workflow by using Amazon Bedrock Knowledge Bases

C. elect a foundation model (FM) from Amazon Bedrock to build an application

D. se Amazon Q Business to build a custom Q App

View answer

Correct Answer: B

Question #43

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 writing a report about the trained ML models to provide transparency and explainability to company stakeholders.What should the AI practitioner include in the report to meet the transparency and explainability requirements?

A. ode for model training

B. artial dependence plots (PDPs)

C. ample data for training

D. odel convergence tables

View answer

Correct Answer: B

Question #44

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 company wants to implement Agents for Amazon Bedrock.What are the key benefits of using Amazon Bedrock agents that could help this retailer?

A. Generation of custom foundation models (FMs) to predict customer needs

B. Automation of repetitive tasks and orchestration of complex workflows

C. Automatically calling multiple foundation models (FMs) and consolidating the results

D. Selecting the foundation model (FM) based on predefined criteria and metrics

View answer

Correct Answer: B

Question #45

A global financial company has developed an ML application to analyze stock market data and provide stock market trends. The company wants to continuously monitor the application development phases and to ensure that company policies and industry regulations are followed. Which AWS services will help the company assess compliance requirements? (Choose two.)

A. AWS Audit Manager

B. AWS Config

C. Amazon Inspector

D. Amazon CloudWatch

E. AWS CloudTrail

View answer

Correct Answer: AB

Question #46

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 monitor model input and output data.Which strategy should the AI practitioner use?

A. onfigure AWS CloudTrail as the logs destination for the model

B. onfigure model invocation logging in Amazon EventBridge

C. onfigure AWS Audit Manager as the logs destination for the model

D. nable invocation logging in Amazon Bedrock

View answer

Correct Answer: D

Question #47

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 should the AI practitioner use to power the search application?

A. Multi-modal embedding model

B. Text embedding model

C. Multi-modal generation model

D. Image generation model

View answer

Correct Answer: A

Question #48

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. uild an automatic named entity recognition system

B. reate a recommendation engine

C. evelop a summarization chatbot

D. evelop a multi-language translation system

View answer

Correct Answer: C

Question #49

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 #50

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 #51

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 probability of choosing a green marble from the jar?"Which solution meets these requirements with the LEAST operational overhead?

A. Use supervised learning to create a regression model that will predict probability

B. Use reinforcement learning to train a model to return the probability

C. Use code that will calculate probability by using simple rules and computations

D. Use unsupervised learning to create a model that will estimate probability density

View answer

Correct Answer: C

Question #52

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 customer questions.Which business objective should the company use to evaluate the effect of the LLM chatbot?

A. Website engagement rate

B. Average call duration

C. Corporate social responsibility

D. Regulatory compliance

View answer

Correct Answer: B

Question #53

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 #54

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 #55

Which functionality does Amazon SageMaker Clarify provide?

A. Integrates a Retrieval Augmented Generation (RAG) workflow

B. Monitors the quality of ML models in production

C. Documents critical details about ML models

D. Identifies potential bias during data preparation

View answer

Correct Answer: D

Question #56

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 #57

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 #58

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. Set a low limit on the number of tokens the FM can produce

B. Use batch inferencing to process detailed responses

C. Experiment and refine the prompt until the FM produces the desired responses

D. Define a higher number for the temperature parameter

View answer

Correct Answer: C

Question #59

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. Adjust the prompt

B. Choose an LLM of a different size

C. Increase the temperature

D. Increase the Top K value

View answer

Correct Answer: A

Question #60

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.Which prompt engineering strategy meets these requirements?

A. Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified

B. Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt

C. Provide the new text passage to be classified without any additional context or examples

D. Provide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering

View answer

Correct Answer: A

Question #61

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 strategy meets these requirements?

A. Object detection

B. Anomaly detection

C. Named entity recognition

D. Inpainting

View answer

Correct Answer: A

Question #62

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 #63

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 #64

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 an ISV's compliance reports become available.Which AWS service can the company use to meet this requirement?

A. AWS Audit Manager

B. AWS Artifact

C. AWS Trusted Advisor

D. AWS Data Exchange

View answer

Correct Answer: B

Question #65

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 #66

A company wants to improve a large language model (LLM) for content moderation within 3 months. The company wants the model to moderate content according to the company's values and ethics. The LLM must also be able to handle emerging trends and new types of problematic content.Which solution will meet these requirements?

A. Conduct continuous pre-training on a large amount of text-based internet content

B. Create a high-quality dataset of historical moderation decisions

C. Fine-tune the LLM on a diverse set of general ethical guidelines from various sources

D. Conduct reinforcement learning from human feedback (RLHF) by using real-time input from skilled moderators

View answer

Correct Answer: D

Question #67

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 customer questions.Which business objective should the company use to evaluate the effect of the LLM chatbot?

A. ebsite engagement rate

B. verage call duration

C. orporate social responsibility

D. egulatory compliance

View answer

Correct Answer: B

Question #68

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 #69

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 #70

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

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