REST API serving with FastAPI in MLOps - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import FastAPI and create an app instance.

MLOps

from fastapi import [1]

app = [1]()

Drag options to blanks, or click blank then click option'

ADepends

BRequest

CResponse

DFastAPI

Attempts:

3 left

💡 Hint

Common Mistakes

Importing other classes like Request instead of FastAPI.

Forgetting to call FastAPI() to create the app instance.

We import FastAPI and create an app instance by calling FastAPI().

2fill in blank

medium

Complete the code to define a GET endpoint at path '/' that returns a welcome message.

MLOps

@app.[1]("/")
def read_root():
    return {"message": "Welcome to FastAPI!"}

Drag options to blanks, or click blank then click option'

Apost

Bput

Cget

Ddelete

Attempts:

3 left

💡 Hint

Common Mistakes

Using POST or PUT decorators for a simple read endpoint.

Misspelling the decorator name.

The @app.get decorator defines a GET HTTP method endpoint.

3fill in blank

hard

Fix the error in the code to correctly accept a path parameter 'item_id' as an integer.

MLOps

@app.get("/items/{item_id}")
def read_item(item_id: [1]):
    return {"item_id": item_id}

Drag options to blanks, or click blank then click option'

Aint

Bfloat

Cstr

Dbool

Attempts:

3 left

💡 Hint

Common Mistakes

Using string type which accepts anything, losing validation.

Using float or bool which do not match the expected parameter.

Path parameters can be typed. Here, item_id should be an integer, so use int.

4fill in blank

hard

Fill both blanks to define a POST endpoint '/items/' that accepts a JSON body with a Pydantic model 'Item'.

MLOps

from pydantic import BaseModel

class Item(BaseModel):
    name: str
    price: float

@app.[1]("/items/")
def create_item(item: [2]):
    return item

Drag options to blanks, or click blank then click option'

Apost

Bget

CItem

Dstr

Attempts:

3 left

💡 Hint

Common Mistakes

Using GET decorator for POST endpoint.

Typing the parameter as string instead of the model.

Use @app.post to define a POST endpoint and type the parameter as the Pydantic model Item to accept JSON body.

5fill in blank

hard

Fill all three blanks to run the FastAPI app with uvicorn on host '127.0.0.1' and port 8000.

MLOps

import uvicorn

if __name__ == "__main__":
    uvicorn.run([1], host=[2], port=[3])

Drag options to blanks, or click blank then click option'

A"app:app"

B"0.0.0.0"

C8000

D"127.0.0.1"

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong host like '0.0.0.0' for local-only run.

Passing port as string instead of integer.

Wrong app string format.

To run the app, use uvicorn.run("app:app", host="127.0.0.1", port=8000). The string "app:app" means module app and variable app.