This quiz will challenge your understanding of key concepts like model selection (Gemini Pro, Flash, Imagen), API integration (Gemini Developer API vs. Vertex AI), multi-modal inputs, chat sessions, and image generation.
These questions will help you gauge your grasp of Gemini’s features and implementation. Ready to see how much you’ve learned?
1.
What is multi-modal input content in the context of Gemini AI?
2.
Which Kotlin construct is recommended for efficiently creating a Content object with multiple inputs?
3.
Which model is specifically designed for generating images from text descriptions?
4.
What happens if Imagen's personFilterLevel is set to BLOCK_ALL?
5.
What is the primary purpose of integrating AI into Android apps using Google's tools?
6.
Which method is used to create a generative model instance in Kotlin?
7.
Why should content generation calls be performed in a coroutine?
8.
Which method is used to send a message in an ongoing chat session?
9.
How are generated images accessed from an ImagenGenerationResponse?
10.
Which method converts an ImagenInlineImage to a usable bitmap format?
11.
How can an Android app maintain context between multiple AI interactions?
12.
What does the negativePrompt property in ImagenGenerationConfig do?
13.
What is the primary function of the Imagen model?
14.
What is the key difference between generateContent() and generateContentStream()?
15.
Which Gemini model is best suited for solving complex problems involving large data volumes?
16.
What is the main advantage of using Gemini Flash over Gemini Pro?
17.
Which ImagenSafetyFilterLevel setting applies the strictest optional content filters?
