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Free AWS-CERTIFIED-AI-PRACTITIONER-AIF-C01 – Amazon AWS-CERTIFIED-AI-PRACTITIONER-AIF-C01 Practice Test Question

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Showing 34–36 of 45 questions

Question 34 (Topic 1)

A company receives a large amount of unstructured user feedback in text format. The company wants to analyze the sentiment of the user feedback. Which solution will meet these requirements?

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  • ○ Use a large language model (LLM) to perform natural language processing (NLP) for sentiment analysis.
  • ○ Use a regression algorithm to classify the feedback based on predefined categories. Then, analyze user sentiment.
  • ○ Use a recommendation engine algorithm to detect user sentiment.
  • ○ Use a time series algorithm to predict user sentiment based on past feedback.
Question 35 (Topic 1)

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?

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  • ○ A variational autoencoder (VAE) model
  • ○ A transformer-based model
  • ○ A diffusion model
  • ○ A generative adversarial network (GAN) model
Question 36 (Topic 1)

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?

Select an option, then click Submit answer.

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