Django REST Framework Interview Guide: Serializers, Views, and API Design
Django REST Framework (DRF) powers the APIs behind some of the largest Python web applications in production. Despite the rise of FastAPI, DRF remains the dominant choice for teams with existing Django codebases or those who value the batteries-included ecosystem. Senior Python interviews at companies running Django at scale will probe your depth with DRF's architecture and its sharp edges.
DRF Architecture: The Request Lifecycle
A DRF request passes through: URL routing → view dispatch → authentication → permissions → throttling → content negotiation → serializer validation → queryset → response rendering.
Understanding where each concern lives lets you place logic correctly. Authentication failures return 401; permission failures return 403. Throttling occurs before business logic. Serializer validation errors return 400 with structured error bodies.
Serializers: The Core Abstraction
Serializers handle both input validation and output representation. ModelSerializer auto-generates fields from your model:
class ArticleSerializer(serializers.ModelSerializer):
author_name = serializers.SerializerMethodField()
class Meta:
model = Article
fields = ['id', 'title', 'body', 'author_name', 'created_at']
read_only_fields = ['id', 'created_at']
def get_author_name(self, obj):
return obj.author.get_full_name()
def validate_title(self, value):
if len(value) < 5:
raise serializers.ValidationError("Title too short.")
return value
Interview candidates often stumble on the difference between field-level validation (validate), object-level validation (validate), and .create()/.update() overrides. Be ready to implement a nested writable serializer — a common question that reveals whether you understand validateddata structure.
ViewSets and Routers
ViewSet classes combine related actions. ModelViewSet provides list, create, retrieve, update, partial_update, and destroy out of the box.
class ArticleViewSet(viewsets.ModelViewSet):
queryset = Article.objects.select_related('author').all()
serializer_class = ArticleSerializer
permission_classes = [IsAuthenticatedOrReadOnly]
def perform_create(self, serializer):
serializer.save(author=self.request.user)
@action(detail=True, methods=['post'])
def publish(self, request, pk=None):
article = self.get_object()
article.publish()
return Response({'status': 'published'})
DefaultRouter auto-generates URL patterns including a browsable API root. Custom actions via @action are a favorite interview topic — explain when detail=True vs detail=False and how they affect URL generation.
Authentication: Token, JWT, and OAuth
DRF ships with BasicAuthentication, SessionAuthentication, and TokenAuthentication. For stateless APIs, TokenAuthentication issues a per-user token stored in the database.
For production, most teams use djangorestframework-simplejwt for JWT:
REST_FRAMEWORK = {
'DEFAULT_AUTHENTICATION_CLASSES': [
'rest_framework_simplejwt.authentication.JWTAuthentication',
],
}
Interviewers ask about token refresh flows, JWT expiry handling, and the tradeoffs between stateless JWT (no server-side revocation without a blocklist) and database tokens (revocable but requires DB lookup on every request).
Permissions and Throttling
Custom permissions are straightforward:
class IsOwnerOrReadOnly(permissions.BasePermission):
def has_object_permission(self, request, view, obj):
if request.method in permissions.SAFE_METHODS:
return True
return obj.owner == request.user
Throttling uses cache-backed rate limiting. AnonRateThrottle and UserRateThrottle are built in. Custom throttle scopes let you set different limits per endpoint:
class BurstRateThrottle(UserRateThrottle):
scope = 'burst'
THROTTLE_RATES = {'burst': '60/min', 'sustained': '1000/day'}
Queryset Optimization
N+1 queries are the most common performance issue in DRF apps. Use selectrelated for foreign keys and onlyfields/defer for column projection. prefetch_related handles reverse FK and M2M relationships.
queryset = Article.objects.select_related('author').prefetch_related('tags').only(
'id', 'title', 'created_at', 'author__username'
)
Know how to use Django Debug Toolbar or query logging to catch N+1 in development. In interviews, explain why SerializerMethodField that hits the DB per row is an N+1 source and how to fix it with annotation or prefetch.
DRF vs FastAPI: When to Use Each
| Concern | DRF | FastAPI |
|---|---|---|
| Existing Django app | Natural fit | Migration overhead |
| Async-first, high concurrency | Poor fit | Native support |
| Admin, ORM, migrations needed | Batteries included | Bring your own |
| Schema generation | drf-spectacular | Built-in OpenAPI |
| Team Python expertise | Mature, familiar | Newer patterns |
DRF wins when you need Django's ORM, admin, and ecosystem. FastAPI wins for greenfield high-throughput services, async I/O, and type-driven development.
Sample Interview Questions with Answers
Q: What's the difference between torepresentation and tointernal_value?
A: torepresentation converts a model instance to Python primitives for output. tointernal_value converts incoming data to validated Python objects. Override both to customize serialization behavior fully.
Q: How do you handle conditional field inclusion in a serializer?
A: Override init to pop fields from self.fields based on context — passing context={'request': request} from the view gives you access to the current user and query params.
Q: What happens if you don't call serializer.isvalid(raiseexception=True)?
A: validated_data is unavailable and calling .save() raises an AssertionError. Always validate before saving.
Q: How would you implement cursor-based pagination for a high-traffic feed endpoint?
A: Use DRF's CursorPagination with an ordering field on a stable column (like created_at + id). Offset pagination degrades at large offsets because the DB must count skipped rows.
DRF mastery comes from understanding where to place logic, how to keep serializers thin, and how to protect your database from the N+1 problem. These are the questions that reveal experienced Django engineers.
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