Test data management in Testing Fundamentals - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Why is test data management important in software testing?

Choose the best reason why managing test data properly is crucial for software testing.

A It guarantees that production data is always used directly in testing.

B It allows testers to skip writing test cases and rely only on data variations.

C It reduces the need for automation by manually entering data each time.

D It ensures tests run with consistent and valid data, improving reliability of test results.

💡 Hint

Think about how data affects test repeatability and accuracy.

Proper test data management ensures tests use consistent, valid data sets. This helps produce reliable and repeatable test results. Using production data directly or skipping test cases can cause issues.

❓ Predict Output

intermediate

What is the output of this test data filtering code?

Given the following Python code that filters test data, what will be printed?

Testing Fundamentals

test_data = [
    {'id': 1, 'status': 'active'},
    {'id': 2, 'status': 'inactive'},
    {'id': 3, 'status': 'active'},
]
active_ids = [item['id'] for item in test_data if item['status'] == 'active']
print(active_ids)

A [1, 3]

B []

C [1, 2, 3]

D [2]

💡 Hint

Look at the condition filtering items by status.

The list comprehension filters items where 'status' is 'active', so it collects ids 1 and 3.

❓ assertion

advanced

Which assertion correctly verifies test data contains exactly 5 unique users?

You have a list users representing test data user IDs. Which assertion correctly checks that there are exactly 5 unique users?

A assert users.count(5) == 1

B assert len(set(users)) == 5

C assert len(users) == 5

D assert users[5] is not None

💡 Hint

Think about how to count unique elements in a list.

Using set(users) removes duplicates, so checking its length ensures the count of unique users is 5.

🔧 Debug

advanced

Identify the bug in this test data setup code

What is the error in the following Python code that prepares test data for a test case?

Testing Fundamentals

test_data = [{'name': 'Alice', 'age': 30}, {'name': 'Bob', 'age': 25}]
for user in test_data:
    print(user['name'])

A KeyError because 'Name' key does not exist (case sensitive).

B TypeError because test_data is not iterable.

C SyntaxError due to missing colon in for loop.

D IndexError because list index is out of range.

💡 Hint

Check the dictionary keys carefully for case sensitivity.

The dictionaries use key 'name' in lowercase, but code tries to access 'Name' with uppercase N, causing KeyError.

❓ framework

expert

Which test data management strategy best supports parallel test execution?

In a test automation framework, which test data management approach best supports running tests in parallel without data conflicts?

A Manually resetting test data in the database after all tests complete.

B Using a shared global test data file that all tests read and write to.

C Generating isolated test data instances dynamically for each parallel test run.

D Hardcoding test data values inside test scripts for reuse.

💡 Hint

Consider how to avoid data clashes when tests run at the same time.

Generating isolated test data dynamically ensures each parallel test has its own data, preventing conflicts and making tests independent.