PracHub
QuestionsPremiumLearningGuidesCheatsheetNEWCoaches
|Home/Software Engineering Fundamentals/Shopify

Demonstrate Git and build workflow

Last updated: Mar 29, 2026

Quick Overview

This question evaluates proficiency with version control workflows, local development and build toolchains, continuous integration configuration, and reproducible testing practices in the context of a Machine Learning Engineer working on a Python project.

  • medium
  • Shopify
  • Software Engineering Fundamentals
  • Machine Learning Engineer

Demonstrate Git and build workflow

Company: Shopify

Role: Machine Learning Engineer

Category: Software Engineering Fundamentals

Difficulty: medium

Interview Round: Technical Screen

Demonstrate your end-to-end Git and tooling workflow for this take-home. Given a repository URL, show the exact steps and commands to prepare your IDE and SDK, clone the repository, create and switch to a feature branch, initialize the project and build from scratch, add and run unit tests, commit with meaningful messages, push to the remote branch, and open a pull request; also describe how you would configure CI to run the tests on each push.

Quick Answer: This question evaluates proficiency with version control workflows, local development and build toolchains, continuous integration configuration, and reproducible testing practices in the context of a Machine Learning Engineer working on a Python project.

Related Interview Questions

  • How would you improve AI-generated code? - Shopify (easy)
Shopify logo
Shopify
Aug 12, 2025, 12:00 AM
Machine Learning Engineer
Technical Screen
Software Engineering Fundamentals
5
0

End-to-End Git and Tooling Workflow (Feature Branch + CI)

Context

You are given a repository URL and asked to demonstrate a pragmatic, reproducible workflow from local setup to CI. Assume a typical backend/ML Python project, GitHub as the remote, and a Unix-like environment (macOS/Linux). If the actual stack differs, adapt the steps accordingly.

Task

Show the exact steps and commands to:

  1. Prepare your IDE and SDK locally (install/check Git, Python, virtualenv; open in IDE).
  2. Clone the repository.
  3. Create and switch to a feature branch.
  4. Initialize the project and build from scratch (install dependencies; package if applicable).
  5. Add and run unit tests locally.
  6. Commit with meaningful messages.
  7. Push to the remote feature branch.
  8. Open a pull request.
  9. Configure CI to run the test suite on every push and pull request.

Include commands and any minimal files needed (e.g., YAML for CI). Call out assumptions you make.

Solution

Show

Comments (0)

Sign in to leave a comment

Loading comments...

Browse More Questions

More Software Engineering Fundamentals•More Shopify•More Machine Learning Engineer•Shopify Machine Learning Engineer•Shopify Software Engineering Fundamentals•Machine Learning Engineer Software Engineering Fundamentals
PracHub

Master your tech interviews with 7,500+ real questions from top companies.

Product

  • Questions
  • Learning Tracks
  • Interview Guides
  • Resources
  • Premium
  • For Universities
  • Student Access

Browse

  • By Company
  • By Role
  • By Category
  • Topic Hubs
  • SQL Questions
  • Compare Platforms
  • Discord Community

Support

  • support@prachub.com
  • (916) 541-4762

Legal

  • Privacy Policy
  • Terms of Service
  • About Us

© 2026 PracHub. All rights reserved.