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| Section | Objectives |
|---|---|
| Introduction and Objectives for Test Automation | - How SUT (System Under Test) architecture impacts test tool suitability - Benefits and limitations of test automation - Test automation within different software development lifecycle models |
| Test Automation Reporting and Metrics | - Selecting appropriate metrics (e.g., percent automated, defect detection rate) - Logging: detailed logs for debugging vs. high-level summaries - Visualizing results for different audiences (technical vs. management) - Proving value to stakeholders |
| Continuous Improvement | - Analyzing and adapting the test automation strategy over time - Maintaining automated testing assets - Streamlining test suites (removing obsolete tests) - Refactoring test code - Upgrading tools and libraries |
| 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) |
| 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 - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) - Designing a test automation solution - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Tailoring gTAA to create a specific Test Automation Architecture (TAA) |
| Implementation of Test Automation | - Test data management - Configuration management in test automation - SUT-specific adaptors - Test environment configuration (URLs, Credentials, Test data, Common core library) - Integration of test automation with CI/CD pipelines - Test automation solution (TAS) implementation |
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NEW QUESTION # 26
Consider a TAS that exclusively uses the APIs of a SUT. To make this work, significant changes have been required to the SUT by adding a set of dedicated test interfaces to the APIs. All the automated tests will use these test interfaces when interacting with the SUT. Assume that you are currently verifying the correctness of the automated test environment and test tool setup.
Which of the following would you expect to be the MOST specific risk associated with this scenario?
Answer: B
NEW QUESTION # 27
Which of the following statements BEST describe aspects of the SUT to consider when designing a TAA?
Answer: A
NEW QUESTION # 28
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: C
NEW QUESTION # 29
(Which of the following statements about how test automation is applied across different software development lifecycle models is TRUE?)
Answer: A
Explanation:
TAE guidance emphasizes that Agile/iterative delivery drives frequent change and frequent regression risk, which often leads teams to expand automated regression suites over time. As suites grow, they can become slower, costlier to maintain, and harder to keep stable-especially if the suite is concentrated too heavily at the UI level. For this reason, TAE stresses investing in automation across multiple test levels (unit
/component, API/service, and selected UI), aligning with principles behind balanced automation strategies (often illustrated by the "test pyramid"). This directly supports option A. Option B is not generally true: in Waterfall/V-model, testing activities (including automation design and implementation) are planned and may start early, but execution and refinement occur across phases aligned with integration and system readiness- not "usually only during the last phase." Option C is too absolute: the test pyramid is a common heuristic, but TAE does not mandate it "regardless of context"; constraints like legacy systems, risk, architecture, and tooling can change the optimal distribution. Option D is incorrect because unit testing is typically a developer responsibility in both Agile and V-model contexts; testers may support, review, or contribute but do not
"write automated unit tests" as a defining V-model rule. Therefore, A best matches documented lifecycle realities and maintenance concerns.
NEW QUESTION # 30
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: D
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 # 31
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