1.1 Describe Core Generative AI (gen AI) Concepts and Use Cases. GENERATIVE-AI-LEADER Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A media company wants to automatically generate short video clips from long-form content and add captions. They plan to use gen AI to process the original video, extract key moments, and produce both the clip and text captions. Which combination of data types and model capabilities is required?

   • AVideo and audio input with a multimodal model that outputs video and text
   • BStructured metadata input with a supervised model that outputs captions
   • CText input only with a large language model that outputs video
   • DImage input only with a diffusion model that outputs text
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A data science team has trained a churn prediction model and deployed it to production. Three months later, they notice the model's accuracy has declined because customer behavior has changed. According to the ML lifecycle, which stage should the team focus on to address this issue?

   • AModel training, to retrain on the original dataset
   • BModel management, to monitor performance and trigger retraining when needed
   • CData ingestion, to collect more of the same historical data
   • DData preparation, to clean the existing training data
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   What is a key business implication of using image data in generative AI?

   • AIt reduces the need for data storage.
   • BIt eliminates the need for text data.
   • CIt guarantees accurate analysis of customer sentiment.
   • DIt enables the creation of visual content for marketing materials.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   Which scenario is a valid use case for generative AI in data analysis?

   • AStoring data in a relational database
   • BGenerating natural language summaries of sales trends from raw data
   • CBacking up data to the cloud
   • DEncrypting data at rest
   Reveal Solution Discussion Select an answer first
6. 10expert · hard

   A financial services company must choose a foundation model for a customer-facing chat assistant. The model will handle sensitive financial data, so the company requires that data not be used to improve the vendor's shared model. The company also needs low-latency responses and the ability to customize the model's tone to match their brand. Which selection factor is MOST critical to evaluate first, given these constraints?

   • ACost per token to minimize operational expenses
   • BContext window size to handle long customer conversations
   • CSecurity and data governance features, such as data isolation and no-retention policies
   • DFine-tuning capability to match the brand tone
   Reveal Solution Discussion Select an answer first