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| Section | Weight | Objectives |
|---|---|---|
| Implementing Test Automation | 11% | - Planning and running pilot projects - Handling synchronization, stability and reliability - Developing and maintaining automation components - Managing technical debt |
| Continuous Improvement | 19% | - Refactoring and optimizing automation - Adapting to new technologies and requirements - Upgrading tools and frameworks - Streamlining and maintaining test assets |
| Introduction and Objectives for Test Automation | 5% | - Purpose, benefits and limitations of test automation - Test automation in software development lifecycle models - Roles and responsibilities of a Test Automation Engineer |
| Implementation and Deployment Strategies | 12% | - Test data management approaches - Configuration management and version control - Test execution strategies and environment management - Integration with CI/CD pipelines |
| Verifying the Test Automation Solution | 12% | - Assessing quality and reliability of automation - Verifying automation code and infrastructure - Validating test suite correctness |
| Reporting and Metrics | 12% | - Visualization and dashboards - Reporting to stakeholders - Defining relevant automation metrics - Collecting and analyzing data |
| Preparing for Test Automation | 14% | - Evaluating and selecting test tools - Cost, effort and ROI analysis - Assessing system testability and architecture - Identifying automation opportunities and constraints |
| Test Automation Architecture | 15% | - Layered frameworks and separation of concerns - Interoperability and integration concepts - Generic Test Automation Architecture (gTAA) - Design principles and patterns for automation |
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NEW QUESTION # 50
What does contract testing verify?
Answer: A
Explanation:
Contract testing is a form of integration testing used to verify that interacting services can communicate correctly and that the information exchanged between them conforms to an agreed set of rules. The syllabus specifically states that contract testing verifies that data shared between services is consistent with a specified set of rules. It goes beyond simple schema validation because both sides must agree on permitted interactions and expected behavior. Contract testing may use consumer-driven or provider-driven approaches. In consumer-driven contract testing, the consumer defines expectations about how the provider should respond; in provider-driven testing, the provider defines the contract describing its service behavior. Therefore, option D captures the core purpose of contract testing, whereas schema validation alone is insufficient and commercial contractual provisions are unrelated.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 51
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: B
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 # 52
A new TAS allows the implementation of automated data-driven test scripts. All the tasks planned for the initial deployment of this TAS, aimed at installing and configuring the TAS components and provisioning the infrastructure, will be performed manually by a dedicated, specialized team. This TAS is expected to be deployed in the future in other similar environments. As a TAE, you see a risk that the correct and reproducible deployment of the TAS cannot be guaranteed. Which of the following options is BEST suited for mitigating this risk?
Answer: C
NEW QUESTION # 53
Automated tests at the UI level for a web app adopt an asynchronous waiting mechanism that allows them to synchronize test steps with the app, so that they are executed correctly and at the right time, only when the app is ready and has processed the previous step: this is done when there are no timeouts or pending asynchronous requests. In this way, the tests automatically synchronize with the app's web pages. The same initialization tasks to set test preconditions are implemented as test steps for all tests. Regarding the pre- processing (Setup) features defined at the test suite level, the TAS provides both a Suite Setup (which runs exactly once when the suite starts) and a Test Setup (which runs at the start of each test case in the suite).
Which of the following recommendations would you provide for improving the TAS (assuming it is possible to perform all of them)?
Answer: A
Explanation:
TAE strongly discourages replacing robust, app-aware synchronization with manual waits. Automatic synchronization based on application readiness signals (e.g., no pending async requests) reduces flakiness and unnecessary delays. Hard-coded waits (A) are brittle and slow; polling waits (C) can be better than fixed sleeps but are still generally inferior to event/readiness-based synchronization already in place. The improvement opportunity described is that the same initialization steps are repeated in every test as explicit test steps, which increases test script length, duplication, and maintenance effort. TAE recommends centralizing common setup logic using framework setup/teardown mechanisms to enforce consistency and reduce duplication. Since the initialization tasks are needed to set preconditions for each test (so each test starts from a known state and remains independent), they belong in the Test Setup, which runs before each test case. Putting them in Suite Setup (D) would run them only once, risking that later tests inherit polluted state, making tests interdependent and more brittle. Therefore, moving shared per-test initialization tasks into the Test Setup is the best recommendation.
NEW QUESTION # 54
Some automated regression test scripts run by a TAS in a given test environment make calls to private APIs that require authentication for all requests (the authentication method is the same for all APIs). The SUT is a business-critical system. The following two changes are planned: a change in the authentication method of all APIs and a minor upgrade of the OS (Operating System) in the test environment. You have updated the test scripts to cope with the change in the API authentication method. Which of the following sequences of activities is BEST to ensure that the test scripts are not adversely affected by these changes?
Answer: B
Explanation:
TAE recommends controlled change management to isolate causes when multiple changes are introduced.
When you apply more than one change at once, diagnosing failures becomes harder because you cannot easily attribute effects to a specific change. The best practice is to implement changes incrementally, validating automation and system behavior after each change using a representative subset of tests (e.g., smoke/build verification or targeted regression) to quickly detect issues. Because the system is business-critical, risk mitigation is stronger: you want early detection and clear attribution. After each change is validated with a subset, you then execute the full updated regression suite to ensure overall coverage and confidence. Options A and C apply two changes before running tests, which reduces diagnostic clarity and increases the risk of late discovery. Option D describes incremental changes with subset testing but omits the final full-suite run, which TAE would recommend to ensure broad coverage after all changes have been applied. Therefore, the best sequence is: change one item, run a subset, repeat for the next change, then run all updated scripts.
NEW QUESTION # 55
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