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1. What best describes the role of AI-assisted coding in modern development?
A) It’s mainly a way to speed up writing boilerplate while humans still review and steer. B) It helps people of any background turn ideas into prototypes faster by guiding code generation. C) It is intended only for expert engineers building enterprise systems. D) It’s exclusively for creating documentation from existing code.
2. Which statement best defines the difference between frontend and backend?
A) Frontend contains business logic; backend renders visuals. B) Frontend handles what users see and do; backend manages data, rules, and external integrations. C) Both layers store long-term data by default. D) Backend runs only on the client device; frontend runs only on servers.
3. What is the main purpose of persistence in application design?
A) To allow an app to retain information between sessions. B) To optimize images and scripts for faster loading. C) To keep the AI model continuously training on user data. D) To store credentials in the frontend for easy access.
4. What is an effective debugging approach in AI-assisted projects?
A) Ask the AI to rewrite everything until the error disappears. B) Comment out large chunks of code randomly and hope the issue vanishes. C) Form a hypothesis, read error/context carefully, test small changes, and iterate to isolate root causes. D) Ignore logs and rely on retries, since generation will eventually fix itself.
5. Why combine external APIs with an AI model in the same app?
A) So the model can directly replace storage and persistence layers. B) Because APIs remove the need to read any documentation. C) To avoid building a backend entirely; the AI can infer everything. D) To bring in real-world data/actions via APIs while AI adds reasoning or natural-language capability.
6. What is the purpose of authentication/authorization in apps?
A) Verifying identity and controlling access to protected resources and actions. B) Speeding up servers via content caching. C) Letting client code embed API keys in public for easier collaboration. D) Eliminating the need to validate requests on the backend.
7. In a simple web app, how do the main parts interact?
A) The frontend sends SQL directly to the database for fastest reads/writes; the backend just renders HTML. B) The user’s browser executes server code and database queries locally for security. C) The server renders the UI while the frontend handles all permission checks; data is cached in the browser instead of a database. D) The frontend manages UI and sends requests; the backend processes logic and talks to the database via endpoints; the database persists state.
8. Why is scaling important when building apps?
A) It ensures the system can handle more users and data without breaking performance. B) It makes debugging unnecessary once the app grows. C) It requires rewriting all AI-generated code from scratch. D) It focuses only on UI design improvements.
9. Why is continuous refactoring especially important in AI-generated codebases?
A) It keeps the structure clean, maintainable, and aligned with evolving requirements. B) It prevents authentication from functioning properly. C) It eliminates the need for testing new features. D) It increases the number of bugs intentionally to test robustness.
10. What’s the most practical mindset when using AI tools to build software?
A) Rely entirely on AI output without questioning results. B) Use AI as a collaborator — prompting, reviewing, and iterating toward better outcomes. C) Avoid manual coding altogether once the first version works. D) Trust AI to decide the product’s core logic and user flow.
