Bird
Raised Fist0
FastAPIframework~10 mins

Multiple query parameters in FastAPI - Interactive Code Practice

Choose your learning style10 modes available
Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to define a FastAPI GET endpoint that accepts two query parameters: 'name' and 'age'.

FastAPI
from fastapi import FastAPI
app = FastAPI()

@app.get("/user")
async def get_user(name: str, age: [1]):
    return {"name": name, "age": age}
Drag options to blanks, or click blank then click option'
Aint
Bfloat
Cstr
Dbool
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'str' for age which should be a number.
Forgetting to specify the type for the query parameter.
2fill in blank
medium

Complete the code to make the 'age' query parameter optional with a default value of 18.

FastAPI
from fastapi import FastAPI
app = FastAPI()

@app.get("/user")
async def get_user(name: str, age: [1] = 18):
    return {"name": name, "age": age}
Drag options to blanks, or click blank then click option'
AOptional[int]
Bstr
Cint
Dfloat
Attempts:
3 left
💡 Hint
Common Mistakes
Using Optional[int] without importing Optional.
Not assigning a default value to make the parameter optional.
3fill in blank
hard

Fix the error in the code to correctly accept multiple query parameters 'q' and 'limit'.

FastAPI
from fastapi import FastAPI
app = FastAPI()

@app.get("/search")
async def search(q: str, limit: [1] = 10):
    return {"query": q, "limit": limit}
Drag options to blanks, or click blank then click option'
Astr
Bint
Cbool
Dfloat
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'str' for 'limit' which should be a number.
Forgetting to assign a default value to 'limit'.
4fill in blank
hard

Fill both blanks to create a FastAPI endpoint that accepts a list of tags as query parameters.

FastAPI
from fastapi import FastAPI
from typing import [1]
app = FastAPI()

@app.get("/items")
async def get_items(tags: [2][str] = []):
    return {"tags": tags}
Drag options to blanks, or click blank then click option'
AList
BDict
CSet
DTuple
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'Dict' or 'Set' which are not ordered lists.
Not importing 'List' from typing.
5fill in blank
hard

Fill all three blanks to create a FastAPI endpoint that accepts multiple optional query parameters with default values.

FastAPI
from fastapi import FastAPI
from typing import [1], [2]
app = FastAPI()

@app.get("/filter")
async def filter_items(categories: [1][[2][str]] = None, limit: [3] = 5):
    return {"categories": categories, "limit": limit}
Drag options to blanks, or click blank then click option'
AOptional
BList
Cint
DDict
Attempts:
3 left
💡 Hint
Common Mistakes
Not importing Optional when using it.
Using Dict instead of List for categories.
Not assigning a default value to limit.

Practice

(1/5)
1. What is the main purpose of using multiple query parameters in a FastAPI endpoint?
easy
A. To accept several inputs from the URL to customize the response
B. To define multiple routes in one function
C. To handle only POST request data
D. To create database models automatically

Solution

  1. Step 1: Understand query parameters in FastAPI

    Query parameters allow passing data in the URL after a question mark, like ?name=John.
  2. Step 2: Purpose of multiple query parameters

    Using multiple query parameters lets the API accept many inputs to customize what it returns.
  3. Final Answer:

    To accept several inputs from the URL to customize the response -> Option A
  4. Quick Check:

    Multiple query parameters = multiple inputs [OK]
Hint: Multiple query parameters let you send many inputs in URL [OK]
Common Mistakes:
  • Confusing query parameters with request body
  • Thinking multiple query parameters define routes
  • Assuming query parameters only work with POST
2. Which of the following is the correct way to declare two query parameters name (string) and age (integer) in a FastAPI path operation function?
easy
A. def read_user(name: str = Query(...), age: int = Query(...)):
B. def read_user(name: str, age: int = None):
C. def read_user(name: int, age: str):
D. def read_user(name, age):

Solution

  1. Step 1: Understand FastAPI query parameter declaration

    Using Query(...) marks parameters as required query parameters with type hints.
  2. Step 2: Check parameter types and usage

    Parameters must have correct types and use Query(...) to be recognized as query parameters.
  3. Final Answer:

    def read_user(name: str = Query(...), age: int = Query(...)): -> Option A
  4. Quick Check:

    Use Query(...) with correct types for query parameters [OK]
Hint: Use Query(...) with type hints for required query parameters [OK]
Common Mistakes:
  • Swapping types of parameters
  • Not using Query for required parameters
  • Omitting type hints
3. Given this FastAPI endpoint code:
from fastapi import FastAPI, Query
from typing import List

app = FastAPI()

@app.get('/items/')
async def read_items(q: List[str] = Query([])):
    return {"q": q}

What will be the output if the URL is /items/?q=apple&q=banana?
medium
A. {"q": ["apple"]}
B. {"q": "apple,banana"}
C. {"q": ["apple", "banana"]}
D. {"q": []}

Solution

  1. Step 1: Understand List query parameters in FastAPI

    Using List[str] with Query([]) allows multiple values for the same query key to be collected into a list.
  2. Step 2: Analyze the URL query parameters

    The URL has q=apple and q=banana, so FastAPI collects both into a list.
  3. Final Answer:

    {"q": ["apple", "banana"]} -> Option C
  4. Quick Check:

    Multiple query keys = list of values [OK]
Hint: Multiple same keys in URL become list in FastAPI [OK]
Common Mistakes:
  • Expecting a single string with commas
  • Getting only the first value
  • Getting an empty list
4. What is wrong with this FastAPI endpoint code that tries to accept two query parameters name and age?:
from fastapi import FastAPI
app = FastAPI()

@app.get('/user/')
def get_user(name: str, age: int = None):
    return {"name": name, "age": age}
medium
A. The route path should not end with a slash
B. The function must be async
C. Missing Query() for both parameters
D. The parameter age should use Optional[int] for optional query

Solution

  1. Step 1: Check optional query parameter typing

    In FastAPI, optional parameters should use Optional[type] or type | None to mark them optional properly.
  2. Step 2: Analyze age: int = None

    Just setting default to None is not enough; the type hint should be Optional[int] or int | None for FastAPI to treat it as optional.
  3. Final Answer:

    The parameter age should use Optional[int] for optional query -> Option D
  4. Quick Check:

    Optional query params need Optional[type] or type | None [OK]
Hint: Use Optional[int] or int | None for optional query params [OK]
Common Mistakes:
  • Assuming default None alone makes param optional
  • Forgetting to import Optional
  • Thinking async is required for all endpoints
5. You want to create a FastAPI endpoint that accepts multiple optional query parameters: tags (list of strings), limit (integer, default 10), and search (optional string). Which of the following function signatures correctly implements this?
hard
A. def get_items(tags: List[str] = Query([]), limit: int = 10, search: str = None):
B. def get_items(tags: List[str] = Query([]), limit: int = Query(10), search: Optional[str] = Query(None)):
C. def get_items(tags: List[str] = [], limit: int = 10, search: str = ''):
D. def get_items(tags: List[str], limit: int = Query(10), search: Optional[str] = Query(None)):

Solution

  1. Step 1: Use Query() for query parameters with defaults

    FastAPI requires using Query() to specify default values and metadata for query parameters.
  2. Step 2: Correctly type optional parameters

    Use Optional[str] or str | None with Query(None) for optional string parameters.
  3. Step 3: Check all parameters in def get_items(tags: List[str] = Query([]), limit: int = Query(10), search: Optional[str] = Query(None)):

    def get_items(tags: List[str] = Query([]), limit: int = Query(10), search: Optional[str] = Query(None)): uses Query([]) for list default, Query(10) for limit default, and Optional[str] = Query(None) for optional search, which is correct.
  4. Final Answer:

    def get_items(tags: List[str] = Query([]), limit: int = Query(10), search: Optional[str] = Query(None)): -> Option B
  5. Quick Check:

    Use Query() with correct types and defaults for multiple optional queries [OK]
Hint: Use Query() with defaults and Optional for optional query params [OK]
Common Mistakes:
  • Using mutable default [] without Query()
  • Not marking optional string with Optional
  • Omitting Query() for default values
Recommended

Ready to prove it?

Pass the test and this pattern moves unknown strong while earning +1 Grip toward your certificate.

10 questions~5 mineasy hard