Which of the following best explains why background tasks are important in Django applications?
Think about what happens when a user waits for a slow task to finish on a website.
Background tasks let heavy or slow work happen separately from user requests, so the website stays fast and responsive.
Consider a Django app using a background task queue like Celery. What is the main behavior when a background task is triggered?
Think about how background workers help with multitasking.
Background tasks are handled by separate worker processes, so the main web server can respond to users without waiting.
What will be the output to the user when a Django view triggers a background task to send an email?
Assume the task is correctly configured and the email sending takes several seconds.
from django.http import HttpResponse from myapp.tasks import send_email_task def send_email_view(request): send_email_task.delay('user@example.com') return HttpResponse('Email is being sent!')
Remember what delay() does in Celery tasks.
Calling delay() queues the task to run later, so the view returns the response immediately.
Which of the following code snippets correctly defines a Celery task in Django?
Look for the modern decorator used to define reusable tasks.
@shared_task is the recommended decorator to define tasks that can be called asynchronously in Django projects using Celery.
Given this Django Celery task code, why might the task never execute?
from celery import shared_task
@shared_task
def process_data():
data = fetch_data()
save_results(data)
# In views.py
process_data()How do you trigger a Celery task to run asynchronously?
Calling the task function directly runs it immediately in the current process, not in the background. To run asynchronously, use delay() or apply_async().