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| Section | Objectives |
|---|---|
| Topic 1: Verifying the Test Automation Solution (TAS) | - Checking the test environment setup - Verifying that the automation code itself is correct - Automated test suite verification |
| Topic 2: Preparing for Test Automation | - Tool Selection and evaluation for specific technology stacks - SUT Testability (Observability and Controllability) - Design for Testability - Evaluating automation tools and technologies |
| Topic 3: Test Automation Reporting and Metrics | - Proving value to stakeholders - Logging: detailed logs for debugging vs. high-level summaries - Selecting appropriate metrics (e.g., percent automated, defect detection rate) - Visualizing results for different audiences (technical vs. management) |
| Topic 4: Implementation of Test Automation | - Test data management - Configuration management in test automation - Test environment configuration (URLs, Credentials, Test data, Common core library) - Test automation solution (TAS) implementation - SUT-specific adaptors - Integration of test automation with CI/CD pipelines |
| Topic 5: Continuous Improvement | - Upgrading tools and libraries - Analyzing and adapting the test automation strategy over time - Refactoring test code - Streamlining test suites (removing obsolete tests) - Maintaining automated testing assets |
| Topic 6: 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 |
| Topic 7: The Generic Test Automation Architecture (gTAA) | - 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) - Approaches for automating test cases - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Designing a test automation solution |
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NEW QUESTION # 51
Which of the following statements about the reuse of TAS artefacts is TRUE?
Answer: C
NEW QUESTION # 52
Consider a TAS that is going to be deployed for the first time. The TAS requires share resources and run it its own test environment. The infrastructure for the TAS has been created along with maintenance procedures. It is very unlikely the TAS will be required to work in other target Environments. There is a high-risk that when the TAS is deployed in its own test environment, a number of existing application will no longer work because of conflicts with the existing shared resources.
Which of the following activities would you expect to be MOST effective at mitigating the risk associated with the first deployment of the TAS?
Answer: B
NEW QUESTION # 53
Consider a TAS deployed into production. The SUT is a web application and the test suite consists of a set of automated regression tests developed via GUI. A keyword-driven framework has been adopted for automating the regression tests. The tests are based on identification at low-levels of the web page components (e.g class indexes, tab sequence indexes and coordinates) in the next planned release the SUT will be subject to significant corrective maintenance (bug-fixes) and evolution (new features) Maintenance costs to update the test scripts should be as low as possible and the scripts must be highly reusable.
Which of the following statements is most likely to be TRUE?
Answer: A
NEW QUESTION # 54
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?
Answer: A
Explanation:
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.
NEW QUESTION # 55
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 # 56
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