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| Section | Objectives |
|---|---|
| Topic 1: Introduction and Objectives for Test Automation | - Test automation within different software development lifecycle models - Benefits and limitations of test automation - How SUT (System Under Test) architecture impacts test tool suitability |
| Topic 2: Test Automation Reporting and Metrics | - Visualizing results for different audiences (technical vs. management) - Logging: detailed logs for debugging vs. high-level summaries - Proving value to stakeholders - Selecting appropriate metrics (e.g., percent automated, defect detection rate) |
| Topic 3: Implementation of Test Automation | - SUT-specific adaptors - Integration of test automation with CI/CD pipelines - Test data management - Configuration management in test automation - Test environment configuration (URLs, Credentials, Test data, Common core library) - Test automation solution (TAS) implementation |
| Topic 4: Verifying the Test Automation Solution (TAS) | - Checking the test environment setup - Automated test suite verification - Verifying that the automation code itself is correct |
| Topic 5: Preparing for Test Automation | - Design for Testability - Tool Selection and evaluation for specific technology stacks - Evaluating automation tools and technologies - SUT Testability (Observability and Controllability) |
| Topic 6: The Generic Test Automation Architecture (gTAA) | - Capabilities in a test automation architecture - Approaches for automating test cases - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Designing a test automation solution - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) |
| Topic 7: Continuous Improvement | - Streamlining test suites (removing obsolete tests) - Maintaining automated testing assets - Upgrading tools and libraries - Analyzing and adapting the test automation strategy over time - Refactoring test code |
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NEW QUESTION # 66
Consider the following layers of the gTAA structure:
a.Test generation layer
b.Test definition layer
c.Test execution layer
d.Test execution layer
Consider the following capabilities associated with these layers.
Acquire all the necessary resources before each test and release all after run, in order to avoid interdependences between test Allow the automated test scripts on an abstract level to interact with components, configurations and interfaces of the SUT.
Design test directives that allow configuring the algorithms used to automatically produce the test cases a given model of the SUT.
Allow the definition and implementation of test cases and data by means of templates and/or guidelines.
Which of the following BEST matches each layer with the appropriate capability?
Answer: A
NEW QUESTION # 67
Which of the following information in API documentation is LEAST relevant for implementing automated tests on that API?
Answer: A
Explanation:
To implement automated API tests, TAE emphasizes that testers need precise, actionable interface specifications: what endpoints exist, what inputs they accept, how to authenticate/authorize requests, and what outputs are returned (status codes, headers, response body schemas/formats). Options B, C, and D directly support test design and implementation: parameter details enable valid/invalid request construction and boundary coverage; authentication mechanisms are required to execute any protected calls and to test auth- related behaviors; response formats enable robust assertions (including schema validation). Release notes and change logs are valuable for understanding evolution, migration, and backward compatibility considerations, but they are not typically required to implement the tests for the current API behavior when the current specification is available. They may help explain why something changed or guide test updates over time, yet they are less directly relevant to writing the core automated checks compared with endpoint inputs, auth, and response structure. Therefore, among the options, past release notes/change logs are the least relevant for implementing automated tests on the API.
NEW QUESTION # 68
Consider a TAS associated to dynamically changing software frequent releases. Your goal is to determine the amount of effort required to maintain the automated tests of the regression test suite for each new release of the SUT.
What is the MOST important metric to collect to achieve your goal?
Answer: D
NEW QUESTION # 69
Which of the following practices can be used to specify the active (i.e., actually available) features for each release of the SUT and determine the corresponding automated tests that must be executed for a given release?
Answer: B
Explanation:
TAE materials commonly describe feature toggles (feature flags) as a mechanism to control which features are active in a given release or deployment without necessarily changing the codebase structure for each variant. Because toggles determine what functionality is actually enabled, they provide a practical basis for selecting which automated tests should run for that release configuration. When a feature is disabled via a toggle, executing tests for it can create false failures or wasted effort; when enabled, the corresponding tests become relevant as release evidence. Feature-driven development is a product/development planning approach and does not, by itself, provide an operational mechanism to declare what is active at runtime.
Feature files (often associated with BDD) specify behavior scenarios, but they do not inherently indicate whether a feature is active in a particular release unless explicitly tied to toggles or release configuration.
TDD focuses on coding practices at the unit level and similarly does not specify release-time feature availability. Feature toggles directly express "active vs. inactive" functionality and can be used to drive risk- based and relevance-based test execution decisions, matching the requirement precisely.
NEW QUESTION # 70
Which of the following recommendations can help improve the maintainability of test automation code?
Answer: A
Explanation:
TAE emphasizes that maintainable automation code should be readable, understandable, and easy to modify when the SUT or test intent changes. Deeply nested logic increases cognitive load, makes control flow harder to follow, and complicates debugging and refactoring-especially in automation where synchronization, retries, and error handling are common. Therefore, avoiding excessive nesting is a direct, widely applicable maintainability recommendation. Option A is generally contrary to modern maintainability guidance:
exceptions (used appropriately) typically provide clearer error propagation and richer diagnostic information than manual error codes scattered across call chains. Option C is too broad and misleading: abstraction and patterns are often recommended by TAE to manage complexity and improve maintainability (when applied appropriately); the issue is not "patterns," but misusing them or overengineering. Option D is incorrect because static analysis and developer tooling can substantially improve automation code quality by detecting issues such as dead code, complexity hotspots, duplicated code, insecure practices, and style violations. Thus, the most aligned maintainability recommendation in TAE terms is to avoid overly nested methods.
NEW QUESTION # 71
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