A marketing team wants a tool that can take a short product description and produce several draft social media captions with different tones, which staff then edit before publishing. Which AI capability should the team use?
Select an answer to reveal the explanation.
Short Explanation
The team is not asking the system to search anything or watch for something unusual, they are asking it to invent new writing based on a short prompt, giving them several tone variations to pick from and polish. That creation of original content from a starting description is the core of the capability being described. The other options are about very different jobs. One is focused on spotting oddities in data, like a strange spike or dip, which has nothing to do with drafting captions. Another is about digging through an existing pile of documents to make it searchable, which would apply to organizing old marketing files, not writing new ones. The last one works with pictures or video, and nothing here involves an image at all, only a text description going in and text captions coming out. When a scenario is about producing brand-new text, image, or other content from a prompt, that points straight to the content-generation capability every time.
Full Explanation
The correct answer is C. Generative AI is designed to produce new original content, such as text, based on a prompt, and creating multiple draft captions in different tones from a short product description is exactly that kind of content-creation task, giving the marketing team a starting point they can refine rather than writing every option from scratch. Option A is incorrect because anomaly detection identifies unusual or unexpected patterns in data, such as a sudden drop in engagement, and has no role in generating new marketing copy. Option B is incorrect because knowledge mining extracts and indexes information from an existing collection of documents so it can be searched, which is unrelated to composing new captions from a brief description. Option D is incorrect because computer vision analyzes images or video, and the task described involves only text input and text output, with no visual data being processed. The defining clue in the stem is that the team wants the system to originate new written variations rather than search, classify, or monitor existing information, which is the hallmark of generative AI.