Design The Data Model First

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-vibecoder-data-model-first

1. What is the main risk of building an app without first defining its data model?

   1. The development team will not have enough coding tools to work with
   2. The app's functionality will be unclear and prone to bugs because the underlying data structure is vague
   3. The app will automatically become too fast for users to handle
   4. The app will look visually unappealing to users

2. When defining the smallest useful scope for an AI-coded app, what should you aim to create?

   1. A testing environment with no real user-facing functionality
   2. A demo that impresses investors with flashy animations
   3. A feature-complete application that rivals production software
   4. The minimum set of features that provides genuine value to a user and can be completed in one attempt

3. Why is it recommended to run your AI-generated app as a user rather than as someone who admires the tool?

   1. Because the tool will stop working if you compliment it
   2. Because admiration prevents you from noticing actual usability problems and bugs
   3. Because users are not allowed to test apps that developers admire
   4. Because the tool requires positive feedback to improve

4. What are RLS mistakes in the context of database-powered applications?

   1. Rapid Loading System errors that slow down apps
   2. Runtime Logic Sequence failures in AI responses
   3. Row-Level Security misconfigurations that accidentally expose private data to unauthorized users
   4. Really Long Script errors in the code

5. What is scope creep in AI app development?

   1. The gradual expansion of project requirements beyond the original plan, leading to unfinishable projects
   2. An error message that appears when the app becomes too popular
   3. A phenomenon where code grows automatically over time
   4. A visual error where app buttons stretch unexpectedly

6. What does it mean to 'inspect the diff' when reviewing AI-generated code?

   1. To delete the previous version and compare nothing
   2. To examine the exact changes made to the codebase, looking for errors or unexpected modifications
   3. To compare the new code against a different programming language
   4. To run a diffusing algorithm on the app's visual design

7. Which question should you ask to determine what data your app must protect?

   1. How many screens should the app have?
   2. Which programming language is most popular this year?
   3. What color scheme attracts the most users?
   4. What data should the app never expose to unauthorized users?

8. What is the purpose of defining a rollback plan before deploying an AI-generated app?

   1. To ensure the app always rolls back to previous versions automatically
   2. To prevent users from ever leaving the app
   3. To have a way to undo changes and restore the previous state if something goes wrong
   4. To make the app run faster by rolling calculations

9. In the context of this lesson, what does 'vibe coding' refer to?

   1. Using AI tools to generate code quickly, where the human provides overall direction but lets the AI handle implementation
   2. A debugging technique that relies on intuition
   3. A specific programming language for creating mood applications
   4. Writing code while listening to music

10. Why is it important to define ownership rules in a data model?

    1. To ensure users can only access and modify data they own or are authorized to handle
    2. To make the app look more professional with attribution
    3. To automatically generate user profiles
    4. To increase the storage capacity of the database

11. What does CRUD stand for in database terminology?

    1. Computer Routine Update Data
    2. Create, Read, Update, Delete—four basic operations for managing data
    3. Centralized Resource Upload Download
    4. Code Review Unit Diagnosis

12. What does inspecting the 'failure path' help you understand?

    1. How to make the app fail on purpose
    2. The path users take when they want to leave the app
    3. What happens when something goes wrong, including error messages and recovery options
    4. How to delete failed code permanently

13. What are 'brittle fix loops' in AI-generated applications?

    1. A debugging tool included in AI coding platforms
    2. Repetitive attempts to fix problems that keep breaking in different ways, creating an endless cycle
    3. A type of database that stores temporary data
    4. A visual design pattern for looping animations

14. When designing a data model, what is a schema?

    1. A security certificate for the application
    2. A visual diagram of the app's user interface
    3. A template for email messages sent by the app
    4. The structure defining tables, fields, relationships, and rules for how data is organized

15. Why should you inspect data access patterns after generating an app with AI?

    1. To count how many times the database is accessed
    2. To add more features to the app
    3. To make the app load faster with caching
    4. To verify that users can only reach data they are supposed to and that no private information is accidentally public