0
0
PyTesttesting~20 mins

Fixture scope with parallel tests in PyTest - Practice Problems & Coding Challenges

Choose your learning style9 modes available
Challenge - 5 Problems
🎖️
Parallel Fixture Master
Get all challenges correct to earn this badge!
Test your skills under time pressure!
🧠 Conceptual
intermediate
2:00remaining
Understanding fixture scope behavior in parallel pytest runs

In pytest, when running tests in parallel using pytest-xdist, which fixture scope ensures that a fixture is created once per worker process?

Afunction
Bsession
Cmodule
Dpackage
Attempts:
2 left
💡 Hint

Think about the widest scope that pytest-xdist respects per worker.

Predict Output
intermediate
2:00remaining
Output of fixture usage with 'module' scope in parallel tests

Consider this pytest code run with 2 parallel workers using pytest-xdist:

import pytest

@pytest.fixture(scope='module')
def resource():
    print('Setup resource')
    yield
    print('Teardown resource')

def test_one(resource):
    pass

def test_two(resource):
    pass

How many times will 'Setup resource' be printed?

A0
B1
C4
D2
Attempts:
2 left
💡 Hint

Remember that each worker runs tests independently and module scope is per module per worker.

assertion
advanced
2:00remaining
Correct assertion for fixture usage count in parallel tests

You want to assert that a fixture with 'session' scope is created exactly once per worker when running 3 parallel pytest workers.

Which assertion correctly verifies this if setup_count tracks the number of fixture setups?

PyTest
def test_fixture_count(setup_count):
    # assert here
    pass
Aassert setup_count == 3
Bassert setup_count == 1
Cassert setup_count >= 3
Dassert setup_count <= 1
Attempts:
2 left
💡 Hint

Each worker runs its own session-scoped fixture instance.

🔧 Debug
advanced
2:00remaining
Debugging fixture sharing issue in parallel pytest

You have a fixture with 'session' scope but notice it runs multiple times when running tests in parallel with pytest-xdist. What is the most likely cause?

AThe fixture scope is ignored when using pytest-xdist
BThe fixture is defined inside a test function, causing multiple runs
CEach worker process has its own session, so fixture runs once per worker
DThe fixture uses yield instead of return, causing multiple setups
Attempts:
2 left
💡 Hint

Think about how pytest-xdist manages processes.

framework
expert
2:00remaining
Best practice for sharing expensive fixture setup across parallel pytest workers

You have an expensive setup fixture that you want to share across all parallel pytest workers to avoid repeated setup. Which approach is best?

AUse a session-scoped fixture combined with a shared external resource like a database or file system lock
BSet fixture scope to 'function' and rely on pytest-xdist to optimize
CUse module-scoped fixtures and run tests sequentially
DUse pytest's cache to store fixture state between workers automatically
Attempts:
2 left
💡 Hint

Think about sharing state beyond process boundaries.