Core Testing Fundamentals in Automation and Configuration Management Quiz

This quiz tests your knowledge of testing fundamentals, focusing on unit vs integration tests and the use of mocking when automating or managing system configurations. Assess your understanding of testing strategies, external dependency handling, and best practices for reliable automation.

  1. Unit Test Identification

    Which type of test focuses on verifying the smallest piece of code, such as a single function, in isolation?

    1. System test
    2. End-to-end test
    3. Unit test
    4. Integration test

    Explanation: A unit test examines a specific small component, like a function or method, independently from the rest of the application. Integration tests, on the other hand, check how components work together, while end-to-end and system tests cover broader application flows. Only a unit test is designed for isolated, detailed checks of minimal code units.

  2. Integration Test Purpose

    What is the main purpose of an integration test in automation frameworks?

    1. To check spelling in code comments
    2. To measure server uptime
    3. To test how combined components interact
    4. To refactor source code automatically

    Explanation: Integration tests focus on the interactions between different modules or components to ensure they function together correctly. Options like checking spelling in comments and measuring uptime are unrelated to functional testing, and code refactoring is a development activity, not a test.

  3. Mocking Definition

    In testing, what does 'mocking' typically refer to?

    1. Simulating the behavior of external systems
    2. Changing source code after deployment
    3. Encrypting sensitive data
    4. Improving code readability

    Explanation: Mocking means creating fake versions or substitutes for external systems or dependencies, so tests can run in isolation without real external effects. Changing code after deployment and encrypting data are unrelated actions, while improving readability is about code style, not testing simulation.

  4. External Dependencies

    When running unit tests, why is it important to avoid making real network requests to an external database?

    1. To reduce color contrast in UI
    2. To test the actual database performance
    3. To ensure tests run quickly and reliably
    4. To increase memory usage intentionally

    Explanation: Unit tests should run fast and predictably, which is why real external calls are avoided and mocked instead. Adjusting UI color contrast and increasing memory usage are unrelated to test reliability. Testing actual database performance is not the goal of unit tests, but may be considered in specialized performance tests.

  5. Testing Automation Configs

    Which is an example of a unit test for a configuration management automation script?

    1. Monitoring the power usage of a server rack
    2. Checking if a single function returns the expected command string
    3. Deploying a full environment and validating connectivity
    4. Manually editing configuration files on a production server

    Explanation: A unit test for configuration automation would verify that a function produces the correct command, isolated from any real execution or environments. Deploying a full environment is more complex and fits integration or system testing, while manual edits and power monitoring are operational and outside the scope of testing scripts.

  6. Isolation Benefit

    What is a main benefit of isolating units of code in unit tests?

    1. Live monitoring of network latency
    2. Easier identification of errors
    3. Automatic database scaling
    4. Enabling code obfuscation

    Explanation: Isolating code in unit tests makes it simpler to locate the source of problems when failures occur. The other options—automatic scaling, network latency monitoring, and code obfuscation—are not directly related to the isolation achieved through unit testing.

  7. Integration vs Unit Test

    If a test verifies that an automation script correctly configures and connects to both a web server and a database, which kind of test is this?

    1. Static analysis
    2. Integration test
    3. Unit test
    4. Syntax check

    Explanation: Such a test involves multiple components working together, which is the core idea behind integration testing. Syntax checks and static analysis relate to code structure, not runtime operation, while a unit test would focus on just one isolated piece.

  8. Mocking Example

    In an automated test, replacing a real email server with a dummy object that mimics responses is called what?

    1. Compiling
    2. Formatting
    3. Sharding
    4. Mocking

    Explanation: This replacement process is known as mocking because it uses a test substitute for the external dependency. Compiling and formatting are unrelated to testing, while sharding deals with database or system partitioning, not testing.

  9. Unit Testing Fast Execution

    Why should unit tests be designed to execute quickly and independently?

    1. To maximize code duplication
    2. To make tests more complex
    3. To allow frequent and efficient runs
    4. To increase CPU temperature

    Explanation: Fast, independent unit tests can be run often, easing the development process and supporting quick feedback. Increasing CPU temperature and maximizing duplication are unnecessary and counterproductive, while complexity is minimized—not increased—in good unit tests.

  10. Configuration Mocking

    When testing a script that updates system configurations, why might you use a mock configuration file?

    1. To obfuscate code variables
    2. To simulate user keyboard input
    3. To prevent unintended changes to actual systems
    4. To enable multi-core execution

    Explanation: Using a mock configuration ensures real systems are not affected, keeping tests safe. Multi-core execution and simulating keyboard input relate to different concerns, and obfuscating variables is a security practice, not a testing requirement.

  11. Test Naming

    Why is it helpful to use descriptive names for unit test functions?

    1. To cause more configuration errors
    2. To increase memory leaks
    3. So the purpose of each test is clear
    4. To make code slower to load

    Explanation: Descriptive test names help ensure that the goal of a test is understood at a glance. The distractors mention negative side effects, such as slower load times, memory leaks, or configuration errors, none of which are caused by clear naming.

  12. Test Independence

    What does it mean for a test to be 'independent' in the context of unit testing?

    1. It should not rely on the results of any other test
    2. It should be written in multiple programming languages
    3. It should change global software settings
    4. It should require complex input data from users

    Explanation: Independent tests ensure reliable outcomes, as their success doesn't depend on the order or output of other tests. The distractors suggest side effects or complexities, such as altering global settings or needing diverse languages, which are not requirements of test independence.

  13. Integration Failures

    If an integration test passes individually but fails when run with others, what is a possible issue?

    1. Compiler typo
    2. Network cable unplugged
    3. Monitor brightness too low
    4. Test dependencies or shared state

    Explanation: Shared state or dependencies between tests can cause unpredictable failures when tests are run together. Compiler typos, network cables, and monitor settings are separate issues not related to test execution reliability.

  14. Choosing Unit vs Integration

    If you want to ensure a configuration file parser handles various formats but not test file loading itself, which type of test is most suitable?

    1. Integration test
    2. Unit test
    3. Manual test
    4. System test

    Explanation: Testing just the parsing logic in isolation, without actual file inputs, is the goal of a unit test. Integration and system tests cover broader operation flows, while manual testing does not guarantee automation or coverage.

  15. Unit Test Failures

    Why might a unit test fail when a mocked external dependency changes behavior unexpectedly?

    1. Due to hard disk failure
    2. Because the programming language is outdated
    3. Due to excessive capitalization in code
    4. Because the unit relies on the dependency's defined outcome

    Explanation: Mocked dependencies are set to return specific outcomes, so if those change, unit test expectations might not match. Hard disk failure or outdated language would affect broader software functionality, and code capitalization has no effect on most runtime behavior.