AIF-C01 practice questions 301–310

1. Question 301 · 417 in bank

   A company runs a website for users to make travel reservations. The company wants an AI solution to help create consistent branding for hotels on the website. The AI solution needs to generate hotel descriptions for the website in a consistent writing style. Which AWS service will meet these requirements?

   • AAmazon Comprehend
   • BAmazon Personalize
   • CAmazon Rekognition
   • DAmazon Bedrock

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   Answer: D

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2. Question 302 · 417 in bank

   A company is using a pre-trained large language model (LLM). The LLM must perform multiple tasks that require specific domain knowledge. The LLM does not have information about several technical topics in the domain. The company has unlabeled data that the company can use to fine-tune the model. Which fine-tuning method will meet these requirements?

   • AFull training
   • BSupervised fine-tuning
   • CContinued pre-training
   • DRetrieval Augmented Generation (RAG)

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   Answer: C

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3. Question 303 · 417 in bank

   A company wants to classify images of different objects based on custom features extracted from a dataset. Which solution will meet this requirement with the LEAST development effort?

   • AUse traditional ML algorithms with custom features extracted from the dataset.
   • BUse a pre-trained deep learning model. Fine-tune the model on the dataset.
   • CUse a generative adversarial network (GAN) model to classify the images.
   • DUse a support vector machine (SVM) with manually engineered features for classification.

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   Answer: B

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4. Question 304 · 417 in bank

   A company wants to customize Amazon Bedrock foundation models (FMs) to improve an application's performance. The company must prepare a training dataset for text-to-text model fine-tuning. Which dataset format should the company use to train the models?

   • AA JSON file with labeled data
   • BA CSV file with unlabeled data
   • CA CSV file with tabular data
   • DA text file with unlabeled data

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   Answer: A

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5. Question 305 · 417 in bank

   An airline company wants to use a generative AI model to convert a flight booking system from one coding language into another coding language. The company must select a model for this task. Which criteria should the company use to select the correct generative AI model for this task?

   • ASyntax, semantic understanding, and code optimization capabilities
   • BCode generation speed and error handling capabilities
   • CAbility to generate creative content
   • DModel size and resource requirements

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   Answer: A

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6. Question 306 · 417 in bank

   An AI practitioner is using Amazon Bedrock Prompt Management to create a reusable prompt. The prompt must be able to interact with external services by calling an external API. Which solution will meet this requirement?

   • AUse special tokens.
   • BUse a tools configuration.
   • CUse prompt variables.
   • DUse a stop sequence.

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   Answer: B

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7. Question 307 · 417 in bank

   Select 2

   A company wants to use Amazon Q Business for its data. The company needs to ensure the security and privacy of the data. Which combination of steps will meet these requirements? (Choose two.)

   • AEnable AWS Key Management Service (AWS KMS) keys for the Amazon Q Business Enterprise index.
   • BSet up cross-account access to the Amazon Q index.
   • CConfigure Amazon Inspector for authentication.
   • DAllow public access to the Amazon Q index.
   • EConfigure AWS Identity and Access Management (IAM) for authentication.

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   Answer: AE

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8. Question 308 · 417 in bank

   A company uses Amazon Comprehend to analyze customer feedback. A customer has several unique trained models. The company uses Comprehend to assign each model an endpoint. The company wants to automate a report on each endpoint that is not used for more than 15 days. Which service will meet these requirements?

   • AAWS Trusted Advisor
   • BAmazon CloudWatch
   • CAWS CloudTrail
   • DAWS Config

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   Answer: A

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9. Question 309 · 417 in bank

   A company plans to use a generative AI model to provide real-time service quotes to users. Which criteria should the company use to select the correct model for this use case?

   • AModel size
   • BTraining data quality
   • CGeneral-purpose use and high-powered GPU availability
   • DModel latency and optimized inference speed

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   Answer: D

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10. Question 310 · 417 in bank

    An AI practitioner must fine-tune an open source large language model (LLM) for text categorization. The dataset is already prepared. Which solution will meet these requirements with the LEAST operational effort?

    • ACreate a custom model training job in PartyRock on Amazon Bedrock.
    • BUse Amazon SageMaker JumpStart to create a training job.
    • CUse a custom script to run an Amazon SageMaker AI model training job.
    • DCreate a Jupyter notebook on an Amazon EC2 instance. Use the notebook to train the model.

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    Answer: B

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AIF-C01 practice, question 301. 417 questions available.