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FastAPI Training — Topic-Wise Mock Tests
Choose any syllabus topic below to start a live timed MCQ exam (max 2 attempts per topic per day). Want structured live classes with a seasoned Industry Expert, all 244 full-length Mock Test sets, real module projects, Live Client Production deployment & Official Internship Letter? Enroll in the complete cohort for just ₹3,999!
All Modules & Topics in FastAPI Training
FastAPI First Steps — Starlette ASGI Core, Uvicorn Event Loop & OpenAPI 3.1 Auto-Docs
Purpose: To understand and apply FastAPI First Steps — Starlette ASGI Core, Uvicorn Event Loop & OpenAPI 3.1 Auto-Docs in real FastAPI systems — specifically: How FastAPI unites Starlette ASGI routing with Pydantic v2 type introspection to deliver Node/Go-class throughput and zero-config OpenAPI 3.1 Swagger UI, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Path Parameters — Type Coercion, Route Declaration Order, StrEnum & Path Converters
Purpose: To understand and apply FastAPI Path Parameters — Type Coercion, Route Declaration Order, StrEnum & Path Converters in real FastAPI systems — specifically: Extracting typed URL segments (`int`, `UUID`, `StrEnum`, `{file_path:path}`) with automatic Pydantic v2 parsing, coercion, and structured 422 Unprocessable Entity errors, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Query Parameters — Defaults, Optional Unions (`str | None`), Booleans & Required Flags
Purpose: To understand and apply FastAPI Query Parameters — Defaults, Optional Unions (`str | None`), Booleans & Required Flags in real FastAPI systems — specifically: How function parameters not present in the URL path template are automatically bound from URL query strings (`?skip=0&limit=20&published=true`) with smart boolean coercion, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Request Body — Pydantic v2 `BaseModel`, `model_dump()` & Path + Query + Body Mixing
Purpose: To understand and apply FastAPI Request Body — Pydantic v2 `BaseModel`, `model_dump()` & Path + Query + Body Mixing in real FastAPI systems — specifically: Validating incoming JSON payloads into strongly typed Python objects via Pydantic v2 (`pydantic-core` in Rust) while seamlessly mixing URL path and query parameters, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Query Validations — `Annotated[str, Query()]`, `min_length`, `pattern`, Lists & Aliases
Purpose: To understand and apply FastAPI Query Validations — `Annotated[str, Query()]`, `min_length`, `pattern`, Lists & Aliases in real FastAPI systems — specifically: Enforcing declarative length limits, regex patterns, repeated list parameters (`?tag=py&tag=api`), and hyphenated query aliases cleanly via `Annotated` and `Query()`, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Path Validations — `Annotated[int, Path(gt=0, le=10000)]` & Numeric Boundary Rules
Purpose: To understand and apply FastAPI Path Validations — `Annotated[int, Path(gt=0, le=10000)]` & Numeric Boundary Rules in real FastAPI systems — specifically: Constraining URL path IDs and numeric route parameters with `gt`, `ge`, `lt`, and `le` rules while eliminating Python default-argument ordering conflicts via `Annotated`, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Body Fields — `pydantic.Field()`, `default_factory`, `ConfigDict` & OpenAPI Examples
Purpose: To understand and apply FastAPI Body Fields — `pydantic.Field()`, `default_factory`, `ConfigDict` & OpenAPI Examples in real FastAPI systems — specifically: Enforcing attribute-level numeric/string validation, safe mutable defaults (`default_factory`), strict unknown-field rejection (`extra="forbid"`), and rich OpenAPI schema examples inside Pydantic models, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Nested Models — Sub-Models, `list[SubModel]`, `set[str]` Deduplication & `HttpUrl`
Purpose: To understand and apply FastAPI Nested Models — Sub-Models, `list[SubModel]`, `set[str]` Deduplication & `HttpUrl` in real FastAPI systems — specifically: Modeling arbitrarily deep JSON trees with nested `BaseModel` compositions, automatic `set[str]` duplicate elimination, `HttpUrl` parsing, and exact error-path reporting, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Cookie & Header Parameters — Underscore-to-Hyphen Conversion, Duplicate Headers & Models
Purpose: To understand and apply FastAPI Cookie & Header Parameters — Underscore-to-Hyphen Conversion, Duplicate Headers & Models in real FastAPI systems — specifically: Extracting typed HTTP `Cookie()` and `Header()` values (including `X-Token` hyphen mapping, multi-value header lists, and grouped Pydantic Header/Cookie models), so your code stays reliable, fast, and easy to maintain in production.
FastAPI `response_model` — Secret Stripping, Input/Output DTO Separation & `exclude_unset`
Purpose: To understand and apply FastAPI `response_model` — Secret Stripping, Input/Output DTO Separation & `exclude_unset` in real FastAPI systems — specifically: Using `@app.post(..., response_model=UserPublic)` to validate, serialize, document, and strip sensitive fields (`password_hash`, internal tokens) before JSON bytes leave the server, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Response Status Codes — `fastapi.status` Constants, `201 Created`, `204 No Content` & Dynamic Status
Purpose: To understand and apply FastAPI Response Status Codes — `fastapi.status` Constants, `201 Created`, `204 No Content` & Dynamic Status in real FastAPI systems — specifically: Communicating exact REST semantics using `status_code=status.HTTP_201_CREATED`, `204` empty-body deletions, and dynamic upsert status codes (`200` vs `201`) via `Response`, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Forms & Files — `Form()`, `UploadFile`, `SpooledTemporaryFile` & Multipart Streaming
Purpose: To understand and apply FastAPI Forms & Files — `Form()`, `UploadFile`, `SpooledTemporaryFile` & Multipart Streaming in real FastAPI systems — specifically: Handling `multipart/form-data` form fields alongside async `UploadFile` spooled file handles (`python-multipart`) without exhausting worker RAM, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Error Handling — `HTTPException`, Custom Headers & `@app.exception_handler`
Purpose: To understand and apply FastAPI Error Handling — `HTTPException`, Custom Headers & `@app.exception_handler` in real FastAPI systems — specifically: Aborting invalid requests cleanly from any route or sub-dependency via `raise HTTPException(...)` and unifying domain/validation errors with custom exception handlers, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Dependencies (`Depends`) — Sub-Dependency DAGs, Per-Request Caching, `yield` & Overrides
Purpose: To understand and apply FastAPI Dependencies (`Depends`) — Sub-Dependency DAGs, Per-Request Caching, `yield` & Overrides in real FastAPI systems — specifically: Powering authentication, RBAC, DB sessions, and shared pagination through FastAPI’s declarative Dependency Injection graph (`Depends`, `yield` cleanup, and `dependency_overrides`), so your code stays reliable, fast, and easy to maintain in production.
FastAPI Security — `OAuth2PasswordBearer`, JWT Verification, Argon2 Hashing & RBAC Scopes
Purpose: To understand and apply FastAPI Security — `OAuth2PasswordBearer`, JWT Verification, Argon2 Hashing & RBAC Scopes in real FastAPI systems — specifically: First-class OpenAPI security schemes (`OAuth2PasswordBearer`, `SecurityScopes`, APIKeyHeader) integrated directly into `Depends()` and Swagger UI’s interactive Authorize modal, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Middleware — `@app.middleware("http")`, Execution Onion Order & Pure ASGI Middleware
Purpose: To understand and apply FastAPI Middleware — `@app.middleware("http")`, Execution Onion Order & Pure ASGI Middleware in real FastAPI systems — specifically: Intercepting every incoming `Request` and outgoing `Response` via `call_next(request)` or pure ASGI middleware (`TrustedHostMiddleware`, `GZipMiddleware`, timing & trace headers), so your code stays reliable, fast, and easy to maintain in production.
FastAPI CORS — `CORSMiddleware`, `OPTIONS` Preflight Handshakes & Credentialed Origin Rules
Purpose: To understand and apply FastAPI CORS — `CORSMiddleware`, `OPTIONS` Preflight Handshakes & Credentialed Origin Rules in real FastAPI systems — specifically: Managing browser Same-Origin Policy preflight `OPTIONS` requests, `Access-Control-Allow-Origin`, `allow_credentials`, and `expose_headers` cleanly via `CORSMiddleware`, so your code stays reliable, fast, and easy to maintain in production.
FastAPI SQL Databases — SQLAlchemy 2.0 / SQLModel, `Session` per Request & `from_attributes=True`
Purpose: To understand and apply FastAPI SQL Databases — SQLAlchemy 2.0 / SQLModel, `Session` per Request & `from_attributes=True` in real FastAPI systems — specifically: Connecting FastAPI to PostgreSQL/SQLite using SQLAlchemy 2.0 `Session` / `AsyncSession` `yield` dependencies, parameterized ORM queries, and `from_attributes=True` DTO projection, so your code stays reliable, fast, and easy to maintain in production.
Bigger FastAPI Applications — `APIRouter`, Versioned Prefixes, Router Dependencies & `lifespan`
Purpose: To understand and apply Bigger FastAPI Applications — `APIRouter`, Versioned Prefixes, Router Dependencies & `lifespan` in real FastAPI systems — specifically: Organizing enterprise FastAPI codebases into clean domain slices (`routers/`, `schemas/`, `services/`, `dependencies.py`) using `APIRouter` and `@asynccontextmanager` `lifespan`, so your code stays reliable, fast, and easy to maintain in production.
FastAPI `BackgroundTasks` — Post-Response Execution, Session Safety & Celery / SQS Trade-Offs
Purpose: To understand and apply FastAPI `BackgroundTasks` — Post-Response Execution, Session Safety & Celery / SQS Trade-Offs in real FastAPI systems — specifically: Returning fast `202 Accepted` HTTP responses immediately while scheduling lightweight in-process audit logs, webhook pings, or email dispatches via `BackgroundTasks`, so your code stays reliable, fast, and easy to maintain in production.
AsyncEngine, async_sessionmaker & Scoped Per-Request Yield Dependencies
Purpose: To understand and apply AsyncEngine, async_sessionmaker & Scoped Per-Request Yield Dependencies in real FastAPI systems — specifically: Run non-blocking asyncpg queries cleanly without session leaks or blocking the event loop, so your code stays reliable, fast, and easy to maintain in production.
Eager Loading (selectinload) in Async Mode to Prevent MissingGreenlet
Purpose: To understand and apply Eager Loading (selectinload) in Async Mode to Prevent MissingGreenlet in real FastAPI systems — specifically: Avoid implicit lazy-load crashes in async SQLAlchemy while eliminating N+1 queries, so your code stays reliable, fast, and easy to maintain in production.
Alembic Async Migrations & Keyset Cursor Pagination
Purpose: To understand and apply Alembic Async Migrations & Keyset Cursor Pagination in real FastAPI systems — specifically: Evolve PostgreSQL schemas safely and paginate millions of rows in constant O(1) index time, so your code stays reliable, fast, and easy to maintain in production.
Transactional Outbox & Atomic SELECT ... FOR UPDATE Locks
Purpose: To understand and apply Transactional Outbox & Atomic SELECT ... FOR UPDATE Locks in real FastAPI systems — specifically: Guarantee race-free balance updates and reliable downstream event publishing, so your code stays reliable, fast, and easy to maintain in production.
OAuth2PasswordBearer + Security() Granular Permission Scopes
Purpose: To understand and apply OAuth2PasswordBearer + Security() Granular Permission Scopes in real FastAPI systems — specifically: Document and enforce exact read/write scopes right inside OpenAPI & Swagger UI, so your code stays reliable, fast, and easy to maintain in production.
Asymmetric RS256 JWT Verification & Redis Refresh Token Rotation
Purpose: To understand and apply Asymmetric RS256 JWT Verification & Redis Refresh Token Rotation in real FastAPI systems — specifically: Validate tokens fast across replicas and revoke stolen sessions immediately, so your code stays reliable, fast, and easy to maintain in production.
Sliding-Window Redis Rate Limiter & Idempotency-Key Middleware
Purpose: To understand and apply Sliding-Window Redis Rate Limiter & Idempotency-Key Middleware in real FastAPI systems — specifically: Prevent brute-force floods and duplicate payment execution under mobile retries, so your code stays reliable, fast, and easy to maintain in production.
Strict Pydantic v2 Validators, CORS Allowlists & TrustedHost Hardening
Purpose: To understand and apply Strict Pydantic v2 Validators, CORS Allowlists & TrustedHost Hardening in real FastAPI systems — specifically: Reject malformed payloads in Rust-powered microseconds before hitting business code, so your code stays reliable, fast, and easy to maintain in production.
FastAPI Lifespan Context Manager for Shared HTTPX, Redis & ML Pools
Purpose: To understand and apply FastAPI Lifespan Context Manager for Shared HTTPX, Redis & ML Pools in real FastAPI systems — specifically: Initialize and tear down connection pools cleanly once per worker process, so your code stays reliable, fast, and easy to maintain in production.
Authenticated WebSockets & Server-Sent Events (StreamingResponse)
Purpose: To understand and apply Authenticated WebSockets & Server-Sent Events (StreamingResponse) in real FastAPI systems — specifically: Stream live notifications, stock ticks, and GenAI tokens with minimal memory overhead, so your code stays reliable, fast, and easy to maintain in production.
BackgroundTasks vs Distributed Redis Worker Queues (ARQ / Celery)
Purpose: To understand and apply BackgroundTasks vs Distributed Redis Worker Queues (ARQ / Celery) in real FastAPI systems — specifically: Know when lightweight in-process tasks suffice vs durable retryable worker queues, so your code stays reliable, fast, and easy to maintain in production.
Resilient Outbound HTTPX AsyncClient with Timeouts & Circuit Fallbacks
Purpose: To understand and apply Resilient Outbound HTTPX AsyncClient with Timeouts & Circuit Fallbacks in real FastAPI systems — specifically: Call partner webhooks safely without letting slow external APIs stall Uvicorn, so your code stays reliable, fast, and easy to maintain in production.
pytest-asyncio + httpx.AsyncClient + Dependency Overrides
Purpose: To understand and apply pytest-asyncio + httpx.AsyncClient + Dependency Overrides in real FastAPI systems — specifically: Test every async endpoint, auth guard, and DB rollback in seconds, so your code stays reliable, fast, and easy to maintain in production.
RFC 9457 Problem-Details Exception Handlers & Correlation Request IDs
Purpose: To understand and apply RFC 9457 Problem-Details Exception Handlers & Correlation Request IDs in real FastAPI systems — specifically: Return predictable JSON error contracts linked directly to structured JSON logs, so your code stays reliable, fast, and easy to maintain in production.
OpenTelemetry Auto-Instrumentation & Prometheus /metrics Endpoint
Purpose: To understand and apply OpenTelemetry Auto-Instrumentation & Prometheus /metrics Endpoint in real FastAPI systems — specifically: Measure p50/p95/p99 route latency and async DB query spans in Grafana, so your code stays reliable, fast, and easy to maintain in production.
Multi-Stage uv/pip Dockerfiles, Uvicorn Worker Tuning & Graceful Shutdown
Purpose: To understand and apply Multi-Stage uv/pip Dockerfiles, Uvicorn Worker Tuning & Graceful Shutdown in real FastAPI systems — specifically: Deploy lean non-root FastAPI containers that drain active requests cleanly on deploy, so your code stays reliable, fast, and easy to maintain in production.
Event-Loop Safety: async def vs def Threadpool Routing & Lifespan Connection Pools
Purpose: To understand and apply Event-Loop Safety: async def vs def Threadpool Routing & Lifespan Connection Pools in real FastAPI systems — specifically: Never block the Uvicorn asyncio loop with synchronous CPU/IO calls under high concurrency, so your code stays reliable, fast, and easy to maintain in production.
Server-Sent Events (SSE), StreamingResponse & WebSocket Real-Time Channels
Purpose: To understand and apply Server-Sent Events (SSE), StreamingResponse & WebSocket Real-Time Channels in real FastAPI systems — specifically: Stream live AI tokens, progress updates, and telemetry feeds cleanly to web and mobile clients, so your code stays reliable, fast, and easy to maintain in production.
Redis Sliding-Window Rate Limiting, Idempotency Middleware & RFC 7807 Errors
Purpose: To understand and apply Redis Sliding-Window Rate Limiting, Idempotency Middleware & RFC 7807 Errors in real FastAPI systems — specifically: Standardize validation errors and protect public FastAPI routes from abusive traffic, so your code stays reliable, fast, and easy to maintain in production.
Async SQLAlchemy 2.0 Sessions, Alembic Async Migrations & Avoiding MissingGreenlet
Purpose: To understand and apply Async SQLAlchemy 2.0 Sessions, Alembic Async Migrations & Avoiding MissingGreenlet in real FastAPI systems — specifically: Write clean non-blocking database repositories with explicit eager loading and transaction scopes, so your code stays reliable, fast, and easy to maintain in production.
Dependency Override Testing with httpx.AsyncClient & pytest-asyncio Fixtures
Purpose: To understand and apply Dependency Override Testing with httpx.AsyncClient & pytest-asyncio Fixtures in real FastAPI systems — specifically: Test auth scopes, validation failures, and DB rollbacks rapidly in isolated async suites, so your code stays reliable, fast, and easy to maintain in production.
Production Uvicorn Workers, OpenTelemetry Tracing & FastAPI Interview Mastery
Purpose: To understand and apply Production Uvicorn Workers, OpenTelemetry Tracing & FastAPI Interview Mastery in real FastAPI systems — specifically: Tune reverse-proxy headers, graceful shutdowns, and Pydantic v2 serialization speed, so your code stays reliable, fast, and easy to maintain in production.