Gunicorn as WSGI server in Django - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ component_behavior

intermediate

Gunicorn Worker Process Behavior

What happens when you send multiple simultaneous HTTP requests to a Django app served by Gunicorn with 3 worker processes?

A Gunicorn distributes requests among the 3 workers, allowing parallel processing of up to 3 requests.

B Gunicorn queues all requests and processes them one by one in a single worker.

C Gunicorn processes all requests in a single worker ignoring the others.

D Gunicorn rejects requests exceeding one at a time until the first finishes.

💡 Hint

Think about how multiple workers help handle concurrent requests.

Gunicorn uses multiple worker processes to handle requests in parallel. With 3 workers, it can process up to 3 requests simultaneously by distributing them among workers.

📝 Syntax

intermediate

Correct Gunicorn Command to Run Django App

Which Gunicorn command correctly runs a Django project named myproject with the WSGI application located at myproject.wsgi:application?

A gunicorn wsgi:myproject.application

B gunicorn myproject:application

C gunicorn myproject.wsgi:application

D gunicorn application.myproject:wsgi

💡 Hint

The Gunicorn command requires the Python path to the WSGI callable.

The correct syntax is gunicorn module_path:callable. For Django, the WSGI callable is usually application inside the wsgi.py module of the project.

🔧 Debug

advanced

Gunicorn Fails to Start with ImportError

You run gunicorn myproject.wsgi:application but get an ImportError: No module named 'myproject'. What is the most likely cause?

A The Django project is missing the <code>manage.py</code> file.

B Gunicorn is run outside the Django project root or PYTHONPATH is not set correctly.

C Gunicorn requires a different command syntax for Django projects.

D The <code>application</code> callable is missing inside <code>wsgi.py</code>.

💡 Hint

Think about how Python finds modules when importing.

Python needs the project directory in its path to import the myproject module. Running Gunicorn outside the project root or without proper PYTHONPATH causes ImportError.

❓ state_output

advanced

Effect of Increasing Gunicorn Workers on Memory Usage

If you increase Gunicorn worker count from 2 to 10 for a Django app, what is the expected effect on memory usage and request handling?

A Memory usage decreases because workers share code in memory.

B Memory usage stays the same; Gunicorn shares memory across workers.

C Memory usage increases slightly but request handling capacity decreases.

D Memory usage increases roughly 5 times; more requests can be handled concurrently.

💡 Hint

Consider how each worker is a separate process.

Each Gunicorn worker is a separate process with its own memory space. Increasing workers increases memory usage roughly proportionally but allows more concurrent requests.

🧠 Conceptual

expert

Why Use Gunicorn Instead of Django's Development Server in Production?

Which reason best explains why Gunicorn is preferred over Django's built-in development server for production deployments?

A Gunicorn is designed to handle multiple concurrent requests efficiently and is more stable for production use.

B Django's development server does not support Python 3.12 and newer versions.

C Gunicorn automatically updates Django code without restarting the server.

D Django's development server cannot serve static files at all.

💡 Hint

Think about stability and concurrency in production environments.

Django's development server is single-threaded and meant only for testing. Gunicorn supports multiple workers and is built for production stability and performance.