AIF-C01 practice questions 351–360

1. Question 351 · 417 in bank

   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?

   • AComputer vision model
   • BMultimodal LLM
   • CDiffusion model
   • DText-to-speech model

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   Answer: B

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2. Question 352 · 417 in bank

   Which AI technique combines large language models (LLMs) with external knowledge bases to improve response accuracy?

   • AReinforcement learning (RL)
   • BNatural language processing (NLP)
   • CRetrieval Augmented Generation (RAG)
   • DTransfer learning

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   Answer: C

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3. Question 353 · 417 in bank

   A company has deployed an AI application in production on AWS. The application’s responses have become less accurate over time. The company needs a solution to send alerts when the application performance drifts. Which AWS service or feature will meet this requirement?

   • AAmazon Augmented AI (Amazon A2I)
   • BAmazon SageMaker Model Monitor
   • CAmazon Rekognition
   • DAWS Trusted Advisor

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   Answer: B

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4. Question 354 · 417 in bank

   A company stores its AI datasets in Amazon S3 buckets. The company wants to share the S3 buckets with its business partners. The company needs to avoid accidentally sharing sensitive data. Which AWS service should the company use to discover sensitive data in the dataset?

   • AAmazon Kendra
   • BAmazon Macie
   • CAmazon Textract
   • DAWS Data Exchange

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   Answer: B

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5. Question 355 · 417 in bank

   What is continues pre-training?

   • AThe process of fine-tuning a pre-trained language model on labeled data for a specific task
   • BThe process of providing unlabeled data to a pre-trained language model to improve the model’s domain knowledge
   • CThe process of training a language model from the beginning on a specific dataset
   • DThe process of evaluating the performance of a pre-trained language model on a test set

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   Answer: B

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6. Question 356 · 417 in bank

   A real estate company is developing an ML model to predict house prices by using sales and marketing data. The company wants to use feature engineering to build a model that makes accurate predictions. Which approach will meet these requirements?

   • AUnderstand patterns by providing data visualization.
   • BTune the model’s hyperparameters.
   • CCreate or select relevant features for model training.
   • DCollect data from multiple sources.

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   Answer: C

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7. Question 357 · 417 in bank

   Which statement describes a generative AI use case for multimodal models?

   • ADeploy multiple scalable and cost-effective versions of a model.
   • BProcess large amounts of data to train multiple models.
   • CWrite code in multiple programming languages.
   • DProcess different data types, such as images, audio, and video.

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   Answer: D

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8. Question 358 · 417 in bank

   Which term is the speed at which a pre-trained foundation model (FM) processes requests and delivers output?

   • AModel size
   • BInference latency
   • CContext window
   • DFine-tuning

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   Answer: B

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9. Question 359 · 417 in bank

   A company is using a large collection of web data to produce a large language model (LLM). The company completes a random initialization of the model’s weights. Next, the company fits the model to the data through a language objective modelling function. Which stage of the model training process does this scenario describe?

   • AFine-tuning
   • BPre-training
   • CModel selection
   • DDeployment

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   Answer: B

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10. Question 360 · 417 in bank

    A financial company is training a generative AI model to predict outcomes of loan applications. The training dataset is small. The dataset categorizes loan applicants as “younger-aged,” “middle-aged,” or “older-aged.” Most individuals in the dataset are characterized as "middle-aged." The company removes the age range feature from the training dataset. Which model behavior will likely happen as a result of this change to the dataset?

    • AThe model will inaccurately predict outcomes for younger and older age groups.
    • BThe model will require less training data.
    • CThe model will predict accurate outcomes for only younger age groups.
    • DThe model will accurately predict outcomes for all ages.

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    Answer: A

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AIF-C01 practice, question 351. 417 questions available.