GCP ML Engineer Mock Exam

I built this practice application while preparing for the Google Cloud Professional Machine Learning Engineer exam. The aim was to make a question bank easier to use: choose a topic, work through a timed session and review the answers afterwards.

It is a static web application built with Jekyll, JavaScript, YAML and TailwindCSS, hosted on GitHub Pages. Questions live in editable data files, so the approach can be adapted to other subjects without building a separate backend.

• Filter questions by topic tags and sample across sections.
• Choose a timed mode; the historical interface includes Full, Quick and Sample sessions.
• Use the countdown to pace the session, with automatic submission when time runs out.
• Review correct and incorrect choices in an answer summary, or focus on the questions you missed.
• Save a print-friendly summary as a PDF for later review.

The original build stores section question banks under _data/sections/. Each YAML entry contains a question, an options list, the expected answer and topic tags. This keeps content editing separate from the browser interactions and presentation.

Jekyll generates the static pages; JavaScript handles the session in the browser. The documented design combines section-weighted sampling with tag filtering, rather than making every practice session a fixed sequence of the same questions.