Interview Readiness

Prepare for Python Automation QA interviews with these topics, questions, and tasks.

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Core Python Questions

Data Types & Variables

Question	Key Points
What is the difference between list and tuple?	List is mutable, tuple is immutable
What is dynamic typing?	Variable type is determined at runtime
What are falsy values in Python?	0, "", [], {}, None, False
What is the difference between is and ==?	is checks identity, == checks value

Functions

Question	Key Points
What is *args and **kwargs?	*args = positional tuple, **kwargs = keyword dict
What is a lambda function?	Anonymous, one-line function
What is a closure?	Function that remembers variables from outer scope
What are decorators?	Functions that wrap other functions to add behavior

OOP

Question	Key Points
What is encapsulation?	Hiding internal details, exposing interface
What is polymorphism?	Same method name, different behavior
When to use composition vs inheritance?	Composition for "has a", inheritance for "is a"
What are dunder methods?	Special methods like __init__, __str__, __eq__

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Testing Questions

Question	Key Points
What is the test pyramid?	Many unit, fewer integration, fewest E2E
What is a fixture in pytest?	Function that provides test setup/data
How do you handle flaky tests?	Mock dependencies, isolate state, use proper waits
What is POM?	Page Object Model — page interactions in a class
What is parametrize?	Run same test with different data sets
Difference between mock and stub?	Mock verifies behavior, stub provides data

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Coding Tasks

Task 1: Reverse a String

def reverse_string(s: str) -> str:
    return s[::-1]

assert reverse_string("hello") == "olleh"

Task 2: Find Duplicates

def find_duplicates(items: list) -> list:
    seen: set = set()
    duplicates: set = set()
    for item in items:
        if item in seen:
            duplicates.add(item)
        seen.add(item)
    return sorted(duplicates)

assert find_duplicates([1, 2, 2, 3, 3, 4]) == [2, 3]

Task 3: Flatten a Nested List

def flatten(nested: list) -> list:
    result: list = []
    for item in nested:
        if isinstance(item, list):
            result.extend(flatten(item))
        else:
            result.append(item)
    return result

assert flatten([1, [2, [3, 4]], 5]) == [1, 2, 3, 4, 5]

Task 4: Count Words

def count_words(text: str) -> dict[str, int]:
    words: dict[str, int] = {}
    for word in text.lower().split():
        words[word] = words.get(word, 0) + 1
    return words

assert count_words("the cat and the dog") == {
    "the": 2, "cat": 1, "and": 1, "dog": 1,
}

Task 5: Validate Email (Simple)

def is_valid_email(email: str) -> bool:
    if "@" not in email:
        return False
    local, domain = email.rsplit("@", 1)
    return bool(local) and "." in domain

assert is_valid_email("user@example.com")
assert not is_valid_email("user@")
assert not is_valid_email("@example.com")

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Automation-Specific Questions

Question	Key Points
How to validate API response schema?	Use Pydantic models
How to handle authentication in tests?	Fixtures with tokens/sessions
How to make tests independent?	Each test sets up and cleans up its own data
What locator strategy do you use?	data-testid > role > text > CSS > XPath
How do you debug a flaky test?	Check logs, isolate, mock externals, add waits

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Preparation Tips

1. Practice coding — solve 2-3 Python tasks daily
2. Know pytest — fixtures, parametrize, markers, conftest
3. Understand OOP — SOLID, composition, design patterns
4. Review your projects — be ready to explain architecture decisions
5. Know your tools — uv, ruff, mypy, playwright
6. Read error messages — practice debugging stack traces