Multimodal LLMs and Vision-Language Models CT-GENAI Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   Which of the following is a challenge when using multimodal LLMs in software testing?

   • AThey are only useful for unit testing, not integration testing.
   • BHigh computational requirements for training and inference.
   • CThey eliminate the need for human testers entirely.
   • DThey cannot process text at all.
   Reveal Solution Discussion Select an answer first
2. 17application · easy

   A product owner wants to quickly create mockups of a new error message dialog box to show stakeholders. They have a detailed text description of the message, button labels, and icon style. Which multimodal LLM capability is most directly suited to produce these visual mockups?

   • AImage captioning
   • BText-to-image generation
   • CText summarization
   • DVisual question answering
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   What is visual question answering (VQA) in the context of multimodal LLMs?

   • AThe model summarizes a text document.
   • BThe model translates a question from one language to another.
   • CThe model generates an image from a text description.
   • DThe model answers a question about an image.
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which of the following is an example of using a multimodal LLM in software testing?

   • AGenerating test data from images, such as extracting text from screenshots to create input values.
   • BRunning performance tests on a server.
   • CSetting up a CI/CD pipeline.
   • DWriting network firewall rules.
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   What is the defining characteristic of a multimodal large language model (LLM) compared to a traditional text-only LLM?

   • AIt can process and generate content across multiple data types such as text, images, and audio.
   • BIt is trained exclusively on image data to produce textual descriptions.
   • CIt can only process audio and text, but not images.
   • DIt uses a larger vocabulary than text-only models to improve language generation.
   Reveal Solution Discussion Select an answer first