Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 22 discussion

Answer B. GenAI is used to generate content: text, images, code, etc.

The correct answer is B. Creating photorealistic images from text descriptions for digital marketing. Generative AI models are designed to create new content, such as text, images, audio, or code. Creating images from text descriptions is a prime example of this capability.   Here's why the other options are not primarily use cases for generative AI: A. Improving network security by using intrusion detection systems: While AI can be used for intrusion detection, this is more of a discriminative or predictive task (classifying network traffic as malicious or benign), not generating new content. C. Enhancing database performance by using optimized indexing: This is related to database management and optimization, not content generation. D. Analyzing financial data to forecast stock market trends: This involves statistical analysis and prediction based on existing data, again a predictive task, not generating new content.

Why not D ? Because we can also fine tune model using historic data to predict market trends using gen AI.

The correct answer is: B. Creating photorealistic images from text descriptions for digital marketing Here's a detailed explanation: Understanding Generative AI's Capabilities Generative AI models, like DALL-E, Midjourney, and Stable Diffusion, are specifically designed to create new content based on text prompts. In this case, generating images from textual descriptions is a quintessential use case.

Generative AI models are designed to create new content, which includes generating images, text, audio, or other types of media based on input dat