PCPP2 Software Testing Practice Test 2 — 15 Questions

Question 1

When asserting that a mock was called with specific arguments, which method should be used to verify the call history?

Accepted Answer

mock.assert_called_with(). assert_called_with is the standard method for verifying the most recent call or the specific instance of a call.

Answer

mock.verify_args()

Answer

mock.check_args()

Answer

mock.called_with()

Question 2

What is the purpose of the 'autospec' argument in 'patch'?

Accepted Answer

It creates a mock with the same API as the original object.. autospec ensures the mock has the same attributes and methods as the object it is replacing, preventing tests from passing when they call non-existent methods.

Answer

It speeds up test execution.

Answer

It automatically generates a return value.

Answer

It automatically documents the mock calls.

Question 3

How do you check how many times a mock object was called?

Accepted Answer

mock.call_count. The 'call_count' attribute on a MagicMock or Mock object keeps track of the number of times it has been called.

Answer

mock.called_times

Answer

len(mock.calls)

Answer

mock.get_call_count()

Question 4

What is the purpose of 'pytest.mark.xfail'?

Accepted Answer

To allow a known failure to not break the build.. It marks a test as expected to fail, allowing the build to pass even if the test fails.

Answer

To debug a failing test.

Answer

To force a test to fail.

Answer

To skip a test temporarily.

Question 5

Which TWO of the following are valid ways to pass data into a pytest test function?

Accepted Answer

Using function arguments that match fixture names. Fixtures and parametrization are the standard ways to inject data into pytest functions.

Answer

Defining global variables in the same file

Answer

Accessing the 'sys.argv' list

Answer

Using the 'unittest.TestCase' setup method

Question 6

What is the result of using 'unittest.mock.patch.object' instead of 'unittest.mock.patch'?

Accepted Answer

It targets an attribute on an object instance.. patch.object is used to patch a specific attribute on an object, rather than patching an object by its string path.

Answer

It is faster.

Answer

It requires less memory.

Answer

It cannot be used with context managers.

Question 7

In pytest, how can you dynamically add a marker to a test at runtime?

Accepted Answer

In the pytest_collection_modifyitems hook.. The 'pytest_collection_modifyitems' hook allows you to modify the collected tests, including adding markers dynamically.

Answer

In the __init__ file.

Answer

Using @pytest.mark.add_marker()

Answer

By calling pytest.add_marker() inside the test.

Question 8

Which of these is the most effective way to test a function that uses 'time.sleep()' without actually waiting?

Accepted Answer

Patch 'time.sleep'.. Mocking the 'time.sleep' function prevents it from actually executing the sleep command, making tests run faster.

Answer

Use a faster machine.

Answer

Use pytest.raises.

Answer

Change the sleep duration to 0.

Question 9

Which command-line argument shows the values of local variables in the event of a test failure?

Accepted Answer

--showlocals. The --showlocals flag instructs pytest to display local variables in the traceback output upon failure.

Answer

--debug

Answer

--traceback

Answer

--locals

Question 10

Which TWO of the following are true regarding 'unittest' test suites?

Accepted Answer

Test classes must inherit from unittest.TestCase.. Suites can be built using TestLoader, and tests are aggregated from classes inheriting from unittest.TestCase.

Answer

Fixtures must be named 'setUp' and 'tearDown'.

Answer

You cannot run unittest from the command line.

Answer

Test suites are limited to 10 tests each.

Question 11

Which THREE of the following are valid scopes for a pytest fixture?

Accepted Answer

function. The valid scopes in pytest are function, class, module, package, and session.

Answer

method

Answer

test

Question 12

Which TWO of the following pytest command-line options allow for filtering which tests are run?

Accepted Answer

-m. -k allows filtering by substring and -m allows filtering by markers.

Answer

-v

Answer

-q

Answer

-s

Question 13

Which TWO of the following are valid ways to run tests?

Accepted Answer

python -m unittest. Both 'pytest' and 'python -m unittest' are the standard command-line ways to execute Python test suites.

Answer

unittest.execute()

Answer

python run_tests.py

Answer

import pytest; pytest.run()

Question 14

Which THREE attributes of 'unittest.mock.Mock' allow for verifying call interactions?

Accepted Answer

call_args_list. call_args, call_args_list, and method_calls provide metadata about how the mock was interacted with during a test.

Answer

return_value

Answer

side_effect

Question 15

Which THREE of the following are common benefits of using a mocking framework in testing?

Accepted Answer

Isolating the code from external dependencies.. Mocking isolates the unit under test, speeds up tests by replacing I/O, and enables testing of error paths that are hard to trigger.

Answer

Automatically rewriting broken business logic.

Answer

Deploying the application to production.