How polgrd/qcm_app_google_gen_ai_leader works
This is a client-side, offline-capable mock exam for the Google Cloud Generative AI Leader certification. The user starts or resumes a 60-question session, answers questions one at a time, receives explanations and source links, then reviews scores by domain, weak concepts, and missed questions. The app also saves in-progress sessions and exam history in browser storage. The graph focuses on runtime behavior; the README documents the development and standalone entry points. Some internal screen and scoring details are grouped because they share src/app.js.
Main entry points: app.js Exam application · questions.js Question bank
Components 8
Exam experience
- Exam application
src/app.js - Question flow
src/app.js - Answer feedback
src/app.js - Results review
src/app.js
Exam content
- Question bank
src/questions.js
Session state
- Session state
src/app.js - Browser storage
Other components
- Candidate
Connections 7
- Candidate → Exam application: uses
README.md - Exam application → Question bank: requires data
src/app.js - Exam application → Question flow: shows questions
src/app.js - Question flow → Answer feedback: reveals after answer
README.md - Exam application → Results review: shows at end
README.md - Exam application → Session state: maintains
src/app.js - Session state → Browser storage: persists
README.md