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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Continuous Improvement | 19% | - Refactoring and optimizing automation - Streamlining and maintaining test assets - Adapting to new technologies and requirements - Upgrading tools and frameworks |
| Topic 2: Test Automation Architecture | 15% | - Generic Test Automation Architecture (gTAA) - Design principles and patterns for automation - Layered frameworks and separation of concerns - Interoperability and integration concepts |
| Topic 3: Preparing for Test Automation | 14% | - Evaluating and selecting test tools - Assessing system testability and architecture - Identifying automation opportunities and constraints - Cost, effort and ROI analysis |
| Topic 4: Reporting and Metrics | 12% | - Reporting to stakeholders - Defining relevant automation metrics - Visualization and dashboards - Collecting and analyzing data |
| Topic 5: Implementation and Deployment Strategies | 12% | - Integration with CI/CD pipelines - Test data management approaches - Test execution strategies and environment management - Configuration management and version control |
| Topic 6: Introduction and Objectives for Test Automation | 5% | - Test automation in software development lifecycle models - Purpose, benefits and limitations of test automation - Roles and responsibilities of a Test Automation Engineer |
| Topic 7: Implementing Test Automation | 11% | - Planning and running pilot projects - Developing and maintaining automation components - Handling synchronization, stability and reliability - Managing technical debt |
| Topic 8: Verifying the Test Automation Solution | 12% | - Validating test suite correctness - Assessing quality and reliability of automation - Verifying automation code and infrastructure |
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24. Frage
A CI/CD pipeline consists of two phases: build and deployment. The build phase, among other activities, runs automated test cases at the following test levels: Component Testing (CT) and Component Integration Testing (CIT). If the build phase is successful, the deployment phase is started. The deployment phase first provisions the test environment infrastructure needed to deploy the SUT, then deploys the SUT to this environment, and finally triggers another separate pipeline that runs automated test cases at the following test levels: System Testing (ST) and Acceptance Testing (AT). Which of the following statements is TRUE?
Antwort: B
Begründung:
TAE describes quality gates as defined checkpoints in pipelines where objective criteria determine whether the pipeline may proceed (e.g., thresholds, pass/fail rules, coverage, or risk-based acceptance). Automated tests at multiple levels can serve as such gates. In the build phase, CT and CIT are commonly used as strong, fast quality gates because they provide quick feedback on code correctness and integration of closely related components; failures typically block promotion. In the deployment phase, after provisioning and deploying into a test environment, automated System Testing and Acceptance Testing can also serve as quality gates for promoting a build to later stages or release candidates, especially when the organization relies on automated regression and automated acceptance criteria for release decisions. While ST/AT may take longer and may be more prone to environmental factors, TAE still supports using them as gates when they are sufficiently stable, relevant, and aligned with release risk. The scenario explicitly places ST/AT in a separate triggered pipeline, which still qualifies as a gating mechanism if downstream promotion depends on its outcome. Therefore, both CT-CIT and ST-AT can act as quality gates.
25. Frage
Which of the following statements about a test progress report produced for an automated test suite is TRUE?
Antwort: C
Begründung:
TAE reporting guidance emphasizes that stakeholders must be able to interpret results in context. A fundamental contextual attribute is the test environment: where the SUT was deployed, what configuration was used, and (by implication) what data and integrations were in play. Without environment identification, results can be misleading, non-reproducible, or not comparable across runs (e.g., failures caused by environment instability vs. product defects). Therefore, including the environment in the progress report is a core requirement. Option B is incorrect because TAE explicitly promotes tailoring reports to stakeholder needs; different audiences require different levels of detail, summaries, and views. Option A is generally too granular for a progress report: step-level timestamps belong more to detailed execution logs and troubleshooting artifacts, not to a progress report intended to communicate status efficiently. Option D may be included in some reports, but it is not as universally required as the environment identifier; and in TAE,
"progress report" tends to focus on overall status (what ran, what passed/failed, trends, coverage, environment) rather than per-test timing metadata. Thus, the reliably true statement is that the report should indicate the test environment.
26. Frage
An automated test script makes a well-formed request to a REST API in the backend of a web app to add a single item for a product (with ID = 710) to the cart and expects a response confirming that the product is successfully added. The status line of the API response is HTTP/1.1 200 OK, while the response body indicates that the product is out of stock. The API response is correct, the test script fails but completes, and the message to log is: The product with ID = 710 is out of stock. Cart not updated. When this occurs, you are already aware that both the failed test and the API are behaving correctly and that the problem is in the test data. The TAS supports the following test logging levels: FATAL, ERROR, WARN, INFO, DEBUG. Which of the following is the MOST appropriate test logging level to use to log the specified message?
Antwort: D
Begründung:
TAE logging guidance focuses on making logs actionable while reflecting severity and intent. Here, the test failed due to an expected, non-system fault condition: the product is out of stock, which is a valid business- state response and confirms the API behaved correctly. The issue is that the test data (product availability) did not satisfy the test's precondition. This is not a fatal condition (FATAL) because execution continues and the overall system is not unusable. It is not best treated as ERROR either (not offered as an option here) because an error-level message usually indicates a defect, malfunction, or unexpected failure needing immediate engineering attention. INFO would be too low because it may be lost among normal run messages and does not adequately flag that the test outcome is affected by a precondition violation requiring action (e.g., reseeding data, choosing a different product ID). DEBUG is typically reserved for highly detailed diagnostic traces intended for deeper troubleshooting, not for highlighting a test-data problem affecting test validity.
WARN is intended for abnormal or noteworthy conditions that do not indicate a product defect but may require attention to maintain test reliability. Therefore, WARN is the most appropriate level.
27. Frage
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?
Antwort: B
Begründung:
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.
28. Frage
Which of the following descriptions of what some test automation tools can be used to do is TRUE?
Antwort: C
Begründung:
TAE recognizes a range of supporting capabilities offered by test tools beyond pure scripted execution, including reporting, evidence capture, and run artifacts that help stakeholders understand what was tested.
Video recording of UI test sessions is a common feature in several UI automation ecosystems and cloud device
/browser platforms, used to provide visual evidence of steps performed, failures observed, and the application' s look-and-feel during execution. This supports debugging and communication with non-technical stakeholders. Option A overstates what test automation tools do: autonomously designing intuitive UIs and evaluating UX is largely outside typical test automation tool scope and requires human-centered design methods. Option C is also overstated: exploratory testing is inherently human-driven; tools can assist (session notes, heuristics support, telemetry) but do not truly conduct exploratory testing autonomously based on charters in the general TAE framing. Option B touches on advanced analytics and AI/ML-assisted quality insights; while some platforms offer risk prediction features, the phrasing implies broad predictive defect capability, which is not a standard, dependable tool function emphasized in TAE compared with concrete capabilities like artifact capture. Therefore, the clearly true, commonly supported capability is making video recordings of UI testing sessions.
29. Frage
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