AIF-C01 practice questions 291–300

1. Question 291 · 417 in bank

   A company has guidelines for data storage and deletion. Which data governance strategy does this describe?

   • AData de-identification
   • BData quality standards
   • CData retention
   • DLog storage

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   Answer: C

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2. Question 292 · 417 in bank

   A company needs to apply numerical transformations to a set of images to transpose and rotate the images. Which solution will meet these requirements in the MOST operationally efficient way?

   • ACreate a deep neural network by using the images as input.
   • BCreate an AWS Lambda function to perform the transformations.
   • CUse an Amazon Bedrock large language model (LLM) with a high temperature.
   • DUse AWS Glue Data Quality to make corrections to each image.

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   Answer: B

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3. Question 293 · 417 in bank

   An AI practitioner is writing software code. The AI practitioner wants to quickly develop a test case and create documentation for the code. Which solution will meet these requirements with the LEAST effort?

   • AUpload the code to an online coding assistant.
   • BDevelop an application to use foundation models (FMs).
   • CUse Amazon Q Developer in an integrated development environment (IDE).
   • DResearch and write test cases. Then, create test cases and add documentation.

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   Answer: C

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4. Question 294 · 417 in bank

   A company is developing a generative AI application to automatically generate product descriptions for an ecommerce website. The product descriptions must consist of paragraphs of text that are consistent in style and tone. The application must generate thousands of unique descriptions each day. Which type of generative model will meet these requirements?

   • AA variational autoencoder (VAE) model
   • BA transformer-based model
   • CA diffusion model
   • DA generative adversarial network (GAN) model

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   Answer: B

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5. Question 295 · 417 in bank

   An AI practitioner has trained a model on a training dataset. The model performs well on the training data. However, the model does not perform well on evaluation data. What is the MOST likely cause of this issue?

   • AThe model is underfit.
   • BThe model requires prompt engineering.
   • CThe model is biased.
   • DThe model is overfit.

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   Answer: D

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6. Question 296 · 417 in bank

   A company wants to develop an interpretable ML model to assess the risk of loan applications. Which type of ML model or algorithm will meet these requirements?

   • ADeep learning model
   • BLogistic regression model
   • CK-means algorithm
   • DRandom cut forest algorithm

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   Answer: B

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7. Question 297 · 417 in bank

   A company stores customer personally identifiable information (PII) data. The company must store the PII data within the company's AWS Region. Which aspect of governance does this describe?

   • AData mining
   • BData residency
   • CPre-training bias
   • DGeolocation routing

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   Answer: B

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8. Question 298 · 417 in bank

   A company wants to implement a generative AI solution to improve its marketing operations. The company wants to increase its revenue in the next 6 months. Which approach will meet these requirements?

   • AImmediately start training a custom FM by using the company's existing data.
   • BConduct stakeholder interviews to refine use cases and set measurable goals.
   • CImplement a prebuilt AI assistant solution and measure its impact on customer satisfaction.
   • DAnalyze industry AI implementations and replicate the most successful features.

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   Answer: B

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9. Question 299 · 417 in bank

   A healthcare company wants to create a model to improve disease diagnostics by analyzing patient voices. The company has recorded hundreds of patient voices for this project. The company is currently filtering voice recordings according to duration and language. Which phase of the ML lifecycle describes the current project phase?

   • AData collection
   • BData preprocessing
   • CFeature engineering
   • DModel training

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   Answer: B

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10. Question 300 · 417 in bank

    A company is using Amazon Bedrock to build an AI assistant. The AI assistant helps customers find relevant products by making suggestions. However, the AI assistant's responses are often generic and irrelevant. The company wants to use prompt engineering to improve the AI assistant's responses. Which solution will meet these requirements?

    • AUse few-shot prompting to add domain-specific context and explicit instructions.
    • BUse chain-of-thought prompting with hidden reasoning steps to ignore explicit domain instructions.
    • CModify the AI assistant's conversational style to use more formal language and include technical product specifications.
    • DUse zero-shot prompting to augment retrieval from a product database.

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    Answer: A

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AIF-C01 practice, question 291. 417 questions available.