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| Section | Objectives |
|---|---|
| Verifying the Test Automation Solution (TAS) | - Checking the test environment setup - Verifying that the automation code itself is correct - Automated test suite verification |
| The Generic Test Automation Architecture (gTAA) | - Approaches for automating test cases - Capabilities in a test automation architecture - 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) - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Designing a test automation solution |
| Introduction and Objectives for Test Automation | - Benefits and limitations of test automation - Test automation within different software development lifecycle models - How SUT (System Under Test) architecture impacts test tool suitability |
| Preparing for Test Automation | - Evaluating automation tools and technologies - SUT Testability (Observability and Controllability) - Design for Testability - Tool Selection and evaluation for specific technology stacks |
| Implementation of Test Automation | - SUT-specific adaptors - Integration of test automation with CI/CD pipelines - Test environment configuration (URLs, Credentials, Test data, Common core library) - Test automation solution (TAS) implementation - Test data management - Configuration management in test automation |
| Continuous Improvement | - Streamlining test suites (removing obsolete tests) - Maintaining automated testing assets - Analyzing and adapting the test automation strategy over time - Refactoring test code - Upgrading tools and libraries |
| Test Automation Reporting and Metrics | - Logging: detailed logs for debugging vs. high-level summaries - Proving value to stakeholders - Selecting appropriate metrics (e.g., percent automated, defect detection rate) - Visualizing results for different audiences (technical vs. management) |
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NEW QUESTION # 72
The last few runs for a suite of automated keyword-driven tests on a SUT were never completed. The test where the run was aborted was not the same between runs. Currently, it is not possible to identify the root cause of these aborts, but only determine that test execution aborted when exceptions (e.g., NullPointerException, OutOfMemoryError) occurred on the SUT by analyzing its log files. Test execution log files are currently generated, in HTML format, by the TAS as follows: all expected logging data is logged for each keyword in intermediate log files. This data is then inserted into the final log file only for keywords that fail, while only a configurable subset of that data is logged for keywords that execute successfully. Which of the following actions (assuming it is possible to perform all of them) would you take FIRST to help find the root cause of the aborts?
Answer: C
Explanation:
TAE stresses that when diagnosing intermittent aborts with unclear root cause, the first priority is ensuring sufficient, consistent observability from the automation side to reconstruct what happened immediately before termination. In this scenario, the suite aborts in different tests across runs, and the final HTML report currently contains full detail only for failing keywords, while successful keywords have reduced logging. If the run aborts due to an exception in the SUT, the "last executed successful keywords" and their full context may be essential to correlate actions with the SUT failure point. The fastest, most direct improvement is to include complete keyword-level logging for successful steps as well, at least until the issue is understood.
This aligns with TAE guidance to temporarily increase logging verbosity during investigation to capture the sequence of actions, inputs, timings, and states leading up to failure. Option A could be helpful, but it changes SUT-side logging and may require additional access or instrumentation; also, it does not guarantee visibility into the exact automation step sequence. Options B and D improve presentation/performance of logs but do not add diagnostic content. Therefore, first increase the completeness of the final execution logs for all keywords to maximize evidence for root cause analysis.
NEW QUESTION # 73
Assume that you are the TAE responsible for the correct functioning of a TAS, deployed in a test environment that consists of a few machines running the same version of the operating system. The TAS has been working and stable since its deployment, it has been used to run an automated test suite consisting of many similar automated test. The infrastructure team is planning to update the operating system on these machines by installing a new the service pack for security reasons. Since the vendor of the operating system assurance full backward compatibility, the infrastructure team assurance that there will be no impacts on the functioning of the TAS.
What is the BEST approach to confirm the correct functioning of the TAS in this scenario?
Answer: C
NEW QUESTION # 74
Which of the following BEST describes why it is important to separate test definition from test execution in a TAA?
Answer: D
NEW QUESTION # 75
(Which of the following aspects of "design for testability" is MOST directly associated with the need to define precisely which interfaces are available in the SUT for test automation at different test levels?)
Answer: D
Explanation:
In TAE, "design for testability" includes attributes that make it easier to create, execute, and maintain automated tests across levels (component, integration, system, UI). The need to define precisely which interfaces are available at different test levels-e.g., public APIs, service endpoints, message queues, UI automation hooks, test seams, logs, and internal test interfaces-maps most directly toarchitecture transparency. Architecture transparency concerns how clearly the system's structure, layers, and accessible interfaces are documented and exposed so test automation can reliably connect to the right interaction points.
This includes understanding which interfaces are stable, supported, and appropriate for each level of testing, and avoiding "guesswork" that increases brittleness. Controllability is about the ability to set inputs, states, and preconditions (e.g., reset data, seed databases, drive system state). Observability is about the ability to see outputs, internal states, and logs to assess outcomes. Autonomy concerns whether tests can run independently without external dependencies or manual intervention (e.g., isolated environments, stable test data). While controllability/observability/autonomy are critical for automation, the specific emphasis on "precisely defining which interfaces are available" is fundamentally an architectural transparency issue: clear interface availability and documentation enable correct, maintainable automation connections across test levels.
NEW QUESTION # 76
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: D
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 # 77
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