Module 1 Quiz: Python Fundamentals for AI

Q1

Which Python package manager is written in Rust and known for being significantly faster than pip?

poetry

uv

conda

pipenv

✅ Correct! uv is a Rust-based Python package manager that's 10-100x faster than pip. It's becoming increasingly popular in 2025 for AI projects.

Q2

What is the main purpose of Pydantic in Python applications?

Handle asynchronous operations

Data validation and settings management using Python type hints

Connect to databases

Make HTTP requests

✅ Correct! Pydantic provides data validation and settings management using Python type hints. It's essential for validating API responses in AI applications.

Q3

Which library is used for making asynchronous HTTP requests in Python?

requests

aiohttp

urllib

httpx (a synchronous-only HTTP library)

✅ Correct! aiohttp is the most popular library for async HTTP requests. While httpx also supports async, aiohttp is more widely used in production AI applications.

Q4

What keyword is used to define an asynchronous function in Python?

async

await

asyncio

coroutine

✅ Correct! async def is used to define an asynchronous function (coroutine). You use await to call async functions.

Q5

Which function from the asyncio module is used to run an async main function?

asyncio.run()

asyncio.start()

asyncio.execute()

asyncio.launch()

✅ Correct! asyncio.run(main()) is the entry point for running async code. It creates an event loop, runs the coroutine, and closes the loop.

Q6

What is the purpose of python-dotenv?

Load environment variables from a .env file

Validate Python code

Run unit tests

Format Python code

✅ Correct! python-dotenv loads environment variables from a .env file into os.environ. This is essential for managing API keys securely.

Q7

What is the correct way to create a virtual environment using Python's built-in venv module?

python -m venv .venv

python venv create

virtualenv .venv

pip install venv

✅ Correct! python -m venv .venv creates a virtual environment. The -m flag runs the venv module.

Q8

Which library is typically used for making synchronous HTTP requests in Python?

requests

aiohttp

asyncio

flask

✅ Correct! The requests library is the most popular choice for synchronous HTTP requests. It's simple and widely used.

Q9

What does the Field(alias='..') parameter in Pydantic do?

Maps a different field name from the API to a Python variable name

Validates the field type

Sets a default value

Makes the field required

✅ Correct! Field(alias='capitalInfo') maps capitalInfo from the API to capital_info in Python, following Python naming conventions.

Q10

What is the purpose of asyncio.gather()?

Run multiple async functions concurrently and wait for all to complete

Run async functions one after another

Cancel running async tasks

Pause execution

✅ Correct! asyncio.gather() runs multiple coroutines concurrently and returns their results. It's essential for parallel API calls.

Q11

Which Python 3.12+ feature allows you to create generic type aliases using a new syntax?

type keyword

generic keyword

alias keyword

typedef keyword

✅ Correct! Python 3.12 introduced the type keyword for creating type aliases: type Vector = list[float]

Q12

What does JSON stand for?

JavaScript Object Notation

Java Syntax Object Notation

JScript Object Network

Joint Standard Object Notation

✅ Correct! JSON stands for JavaScript Object Notation. It's a lightweight data interchange format used extensively in APIs.

Q13

What HTTP status code indicates a successful request?

200

404

500

301

✅ Correct! HTTP 200 OK indicates a successful request. Other codes: 404 (not found), 500 (server error), 301 (redirect).

Q14

Which method is used to parse JSON data in Python?

json.loads() for strings or response.json() for requests

json.parse()

json.decode()

json.read()

✅ Correct! json.loads() parses a JSON string, and response.json() is a convenience method in requests.

Q15

What library would you use for numerical computing and working with arrays in Python?

NumPy

Pandas

Matplotlib

SciPy

✅ Correct! NumPy provides support for large, multi-dimensional arrays and matrices, along with mathematical functions. It's fundamental for AI development.

Q16

What is the recommended way to handle sensitive data like API keys in Python applications?

Store them in a .env file and load with python-dotenv

Hardcode them in the source code

Put them in code comments

Store them in README.md

✅ Correct! Always store sensitive data in a .env file (not tracked by git) and load it with python-dotenv. Never hardcode API keys!

Q17

Which context manager ensures an aiohttp ClientSession is properly closed?

async with

try/finally

session.close()

await session

✅ Correct! async with aiohttp.ClientSession() as session: ensures the session is properly closed, even if errors occur.

Q18

What is the file extension for Python files?

.py

.python

.pyt

.pt

✅ Correct! Python files use the .py extension.

Q19

Which exception should you catch when handling aiohttp request errors?

aiohttp.ClientError

HTTPError

RequestError

Exception

✅ Correct! aiohttp.ClientError is the base exception for all aiohttp client errors. You can also catch more specific errors like ClientConnectionError.

Q20

What is the primary benefit of using async programming for AI applications?

Handle multiple API calls concurrently without blocking, improving performance

Makes code simpler

Increases security

Reduces memory usage

✅ Correct! Async programming allows you to make multiple AI API calls concurrently without blocking. This dramatically improves performance when working with LLMs.

Quiz Complete!