1.1 Describe Core Generative AI (gen AI) Concepts and Use Cases. GENERATIVE-AI-LEADER Practice Questions (Page 5)

Questions 21–25

1. 21application · easy

   A startup wants to build an application that generates realistic images from text descriptions, such as 'a photorealistic cat sitting on a beach at sunset.' Which type of model is specifically designed for this text-to-image generation task?

   • ALarge language model
   • BReinforcement learning agent
   • CDiffusion model
   • DSupervised classification model
   Reveal Solution Discussion Select an answer first
2. 22foundation · easy

   What is the primary difference between prompt tuning and prompt engineering?

   • APrompt tuning adjusts model weights, while prompt engineering only changes the input text.
   • BPrompt tuning modifies the model's parameters, while prompt engineering modifies the training data.
   • CPrompt tuning involves adjusting the model's architecture, while prompt engineering involves crafting input prompts.
   • DPrompt tuning adjusts learnable prompt vectors, while prompt engineering involves crafting the input text to guide the model.
   Reveal Solution Discussion Select an answer first
4. 23application · easy

   A marketing team wants to use gen AI to analyze customer feedback. They have two data sources: a SQL database of customer satisfaction scores (1–5) and a collection of free-text survey comments. The team plans to use the text comments to generate a summary of common themes. Which statement correctly describes the data types involved?

   • ASatisfaction scores are structured data; free-text comments are unstructured data
   • BBoth are unstructured data because they are used in a gen AI model
   • CSatisfaction scores are unstructured data; free-text comments are structured data
   • DBoth are structured data because they come from the same survey
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A company wants to build a model that can understand and generate responses in multiple languages, as well as analyze images and text together (e.g., answering questions about a photo). Which type of model should they select?

   • ADiffusion model
   • BMultimodal foundation model
   • CText-only large language model
   • DSupervised classification model
   Reveal Solution Discussion Select an answer first
6. 25expert · hard

   A hospital is building a gen AI model to assist doctors by summarizing patient records. The records are stored in different formats across departments: some are PDFs, some are scanned images, and some are structured EHR exports. The team has limited budget and must decide how to preprocess the data. Which consideration is MOST important for ensuring the model produces accurate summaries?

   • AData consistency, ensuring all records use the same terminology
   • BData accessibility, ensuring all records can be converted to a consistent, machine-readable format
   • CData relevance, only keeping records from the last year
   • DData cost, choosing the cheapest storage option
   Reveal Solution Discussion Select an answer first