DVC (Data Version Control) basics in MLOps - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is DVC in simple terms?

DVC is a tool that helps you save and track changes in your data and machine learning models, just like how Git tracks code changes.

beginner

How does DVC store large data files without putting them directly in Git?

DVC stores large files outside Git in a special storage called remote storage, and keeps small pointers in Git to track them.

beginner

What command do you use to start tracking a data file with DVC?

You use dvc add <filename> to tell DVC to track a data file.

beginner

Why is DVC useful for machine learning projects?

Because it helps keep track of data versions and model changes, making it easy to reproduce results and collaborate with others.

beginner

What is a DVC remote?

A DVC remote is a storage location (like cloud or server) where DVC saves your large data files safely outside your code repository.

Which command initializes DVC in a project?

A git init

B dvc start

C dvc init

D dvc create

Use dvc init to set up DVC in your project folder.

What does dvc add data.csv do?

A Converts data.csv to a Git file

B Deletes data.csv

C Uploads data.csv to remote storage immediately

D Tracks data.csv with DVC and creates a pointer file

It tells DVC to track data.csv and creates a small file to track it in Git.

Where does DVC store large data files by default?

A In a remote storage configured by the user

B Directly inside the Git repository

C In the system's temp folder

D On GitHub servers

DVC stores large files in remote storage like cloud or network drives, not inside Git.

Which file does DVC create to track data files added with dvc add?

A *.dvc file

B README.md

C .gitignore

D config.yaml

DVC creates a small .dvc file that acts as a pointer to the large data file.

Why should you use DVC with Git in machine learning projects?

A To speed up code execution

B To track both code and data versions easily

C To replace Git completely

D To avoid using any cloud storage

DVC works with Git to track data and code versions together for better project management.

Explain how DVC helps manage large data files in a machine learning project.

Think about how Git handles code and how DVC extends that for data.

Describe the basic steps to start using DVC in a new project.

Start from setting up DVC to saving data safely.