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| Section | Objectives |
|---|---|
| Topic 1: Preparing for Test Automation | - SUT Testability (Observability and Controllability) - Design for Testability - Tool Selection and evaluation for specific technology stacks - Evaluating automation tools and technologies |
| Topic 2: The Generic Test Automation Architecture (gTAA) | - Approaches for automating test cases - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Designing a test automation solution - Capabilities in a test automation architecture - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) |
| Topic 3: Continuous Improvement | - Upgrading tools and libraries - Refactoring test code - Maintaining automated testing assets - Streamlining test suites (removing obsolete tests) - Analyzing and adapting the test automation strategy over time |
| Topic 4: Introduction and Objectives for Test Automation | - Benefits and limitations of test automation - How SUT (System Under Test) architecture impacts test tool suitability - Test automation within different software development lifecycle models |
| Topic 5: Test Automation Reporting and Metrics | - Logging: detailed logs for debugging vs. high-level summaries - Visualizing results for different audiences (technical vs. management) - Proving value to stakeholders - Selecting appropriate metrics (e.g., percent automated, defect detection rate) |
| Topic 6: Verifying the Test Automation Solution (TAS) | - Verifying that the automation code itself is correct - Automated test suite verification - Checking the test environment setup |
| Topic 7: Implementation of Test Automation | - Test data management - Test automation solution (TAS) implementation - Integration of test automation with CI/CD pipelines - Configuration management in test automation - SUT-specific adaptors - Test environment configuration (URLs, Credentials, Test data, Common core library) |
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NEW QUESTION # 38
Which of the following is NOT an advantage of test automation?
Answer: D
NEW QUESTION # 39
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: D
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 # 40
You are evaluating the best approach to implement automated tests at the UI level for a web app. Specifically, your goal is to allow test analysts to write automated tests in tabular format, within files that encapsulate logical test steps related to how a user interacts with the web UI, along with the corresponding test data. These steps must be expressed using natural language words that represent the actions performed by the user on the web UI. These files will then be interpreted and executed by a test execution tool. Which of the following approaches to test automation is BEST suited to achieve your goal?
Answer: D
Explanation:
The described goal matches the defining characteristics of keyword-driven testing: tests are expressed using keywords (action words) that represent user operations, often arranged in tabular form with parameters/test data. TAE describes keyword-driven approaches as enabling non-programmers (e.g., test analysts) to create and maintain tests by combining high-level keywords such as "Open Browser," "Click," "Enter Text,"
"Select," "Verify Text," etc., while the underlying automation framework maps those keywords to executable code. The use of files interpreted by a test execution tool is also typical: keyword tables (or similar structured specifications) are read and executed by the automation engine. Data-driven testing focuses on separating test logic from test data, typically running the same script multiple times with different datasets; it does not inherently require natural-language action words or tabular step definitions (though it can be combined).
Linear scripting is code-centric and not aligned with analyst-authored natural language step tables. TDD is unrelated to the requirement of tabular, natural-language keyword specification for UI test steps. Therefore, keyword-driven testing is the best fit for the stated approach.
NEW QUESTION # 41
(Which of the following statements refers to a typical advantage of test automation?)
Answer: D
Explanation:
In the ISTQB Test Automation Engineer (TAE) body of knowledge, a core, typical advantage of test automation is faster feedback through efficient execution, especially when tests are implemented at lower levels (e.g., API/service) rather than through the UI. UI tests inherently traverse more layers (browser, rendering, client-side code, network timing, and often multiple back-end calls), so they tend to be slower and more brittle. API-level tests bypass most UI-related overhead and interact closer to business logic/services, reducing execution time and improving reliability. Option A is incorrect because many results (e.g., visual aesthetics, subjective usability, tone, or "looks right") are not reliably machine-interpretable without specialized approaches and still often require human judgment. Option C may be possible in some contexts, but "AI redundancy identification" is not a typical, foundational advantage emphasized as a standard automation benefit. Option D is misleading: early defect detection is mainly achieved by earlier and more frequent execution (e.g., CI) and shifting tests left, not merely because a single automated run is shorter than manual execution. Therefore, the most typical advantage presented is that API automation generally runs faster than UI automation.
NEW QUESTION # 42
In a first possible implementation, the automated test scripts within a suite locate and interact with elements of a web UI indirectly through the browsers using browser-specific drivers and APIs, provided by an automated test tool used as part of the TAS. In an alternative implementation, these test scripts locate and interact with elements of the same web UI directly at the HTML level by accessing the DOM (Document Object Model) and internal JavaScript code. The first possible implementation:
Answer: A
Explanation:
TAE describes "intrusiveness" as the degree to which automation reaches into internal implementation details of the SUT rather than interacting through externally visible, user-realistic interfaces. Using browser drivers and browser automation APIs exercises the UI similarly to a real user (via the browser's supported automation hooks), which is generally less intrusive than directly manipulating the DOM and internal JavaScript. Direct DOM/JS access can bypass real user interaction pathways, skip browser event chains, and depend on internal structures that are not part of the stable external contract. This increases the risk of false positives: tests may
"pass" by forcing UI states or reading internal values even when the application would not behave correctly for real users. Less intrusive automation (through browser-level drivers) tends to provide higher confidence that observed behavior reflects real user experience, reducing the chance that tests succeed while user-visible behavior is broken. TAE therefore associates lower intrusion with stronger validity of results and lower false- positive risk, especially for system/UI-level validation. While browser-driven automation can still be flaky for other reasons (timing, environment), in the specific comparison of interaction method, browser-driver-based execution is the less intrusive option and is less likely to create false positives than direct internal DOM/JS manipulation.
NEW QUESTION # 43
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