Android AI-ML overview quiz

1. An Android developer is building an app that requires on-device text summarization to ensure user data remains private and the feature works offline. Which of the following would be the most suitable Android AI solution?

   Cloud-based generative AI with Firebase AI Logic SDK

   On-device generative AI with ML Kit's GenAI APIs

   Custom on-device ML with LiteRT for a highly specialized, pre-trained summarization model not offered by ML Kit

   Generate images with Imagen 3

2. What is the primary purpose of the Android AI Sample Catalog?

   To provide a comprehensive theoretical guide to all AI-ML concepts.

   To offer pre-trained models for direct download and integration into production apps.

   To showcase individual, self-contained examples demonstrating various generative AI capabilities on Android.

   To serve as a platform for submitting and sharing custom AI models with the developer community.

3. According to the provided learning pathway, what is a key use case for Imagen 3 in Android apps?

   Performing complex natural language understanding tasks.

   Enabling on-device, real-time translation.

   Generating custom avatars for user profiles or personalized visual assets.

   Optimizing battery life through AI-powered resource management.

4. An experienced Android developer wants to quickly implement features like barcode scanning and face detection without needing deep machine learning expertise. Which of the following provides ready-to-use, on-device APIs for these tasks?

   LiteRT

   Firebase AI Logic SDK

   ML Kit

   Android AI Sample Catalog

5. If an Android developer needs to deploy their own custom-trained machine learning model directly on an Android device, which technology is specifically mentioned in the learning pathway for this purpose?

   ML Kit's GenAI APIs

   Imagen 3

   LiteRT

   Firebase AI Logic SDK

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