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| Section | Objectives |
|---|---|
| Continuous Improvement | - Upgrading tools and libraries - Refactoring test code - Analyzing and adapting the test automation strategy over time - Streamlining test suites (removing obsolete tests) - Maintaining automated testing assets |
| 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) - Designing a test automation solution - Tailoring gTAA to create a specific Test Automation Architecture (TAA) |
| Introduction and Objectives for Test Automation | - How SUT (System Under Test) architecture impacts test tool suitability - Test automation within different software development lifecycle models - Benefits and limitations of test automation |
| Test Automation Reporting and Metrics | - Proving value to stakeholders - Logging: detailed logs for debugging vs. high-level summaries - Visualizing results for different audiences (technical vs. management) - Selecting appropriate metrics (e.g., percent automated, defect detection rate) |
| Preparing for Test Automation | - Design for Testability - SUT Testability (Observability and Controllability) - Evaluating automation tools and technologies - Tool Selection and evaluation for specific technology stacks |
| Implementation of Test Automation | - Test automation solution (TAS) implementation - Integration of test automation with CI/CD pipelines - Test data management - Configuration management in test automation - Test environment configuration (URLs, Credentials, Test data, Common core library) - SUT-specific adaptors |
| Verifying the Test Automation Solution (TAS) | - Checking the test environment setup - Automated test suite verification - Verifying that the automation code itself is correct |
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NEW QUESTION # 60
Which of the following BEST describes why it is important to separate test definition from test execution in a TAA?
Answer: D
NEW QUESTION # 61
Which of the following recommendations can help improve the maintainability of test automation code?
Answer: B
Explanation:
TAE emphasizes that maintainable automation code should be readable, understandable, and easy to modify when the SUT or test intent changes. Deeply nested logic increases cognitive load, makes control flow harder to follow, and complicates debugging and refactoring-especially in automation where synchronization, retries, and error handling are common. Therefore, avoiding excessive nesting is a direct, widely applicable maintainability recommendation. Option A is generally contrary to modern maintainability guidance:
exceptions (used appropriately) typically provide clearer error propagation and richer diagnostic information than manual error codes scattered across call chains. Option C is too broad and misleading: abstraction and patterns are often recommended by TAE to manage complexity and improve maintainability (when applied appropriately); the issue is not "patterns," but misusing them or overengineering. Option D is incorrect because static analysis and developer tooling can substantially improve automation code quality by detecting issues such as dead code, complexity hotspots, duplicated code, insecure practices, and style violations. Thus, the most aligned maintainability recommendation in TAE terms is to avoid overly nested methods.
NEW QUESTION # 62
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: A
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 # 63
As a TAE you are evaluating a functional test automation tool that will be for several projects within yourorganization. The projects require that tool to work effectively and efficiently with SUT's in distributed environments. The test automated tool also needs to interface with other existing test tools (test management tool and defect tracking tool.) The existing test tools subject to planned updates and their interface to the test automated tool may not work property after these updates.
Which of the following are the two LEAST important concerns related to the evaluation of the test automation in this scenario?
* Is the test automation tool able to launch processors and execute test cases on multiple machines in
* different environments?
* Does the test automation tool support a licensing scheme that allows accessing different sets?
* Does the testautomation tool have a large feature set, but only part of the features will be sets?
* Do the release notes for the planned updates on existing specify the impacts on their interfaces to other tools?
Does the test automation tool need to install specific libraries that could impact the SUT?
Answer: D
NEW QUESTION # 64
You are evaluating the best approach to implement automated tests at the UI level for a web app. Specifically, your goal is to allow test analysts to write automated tests in tabular format, within files that encapsulate logical test steps related to how a user interacts with the web UI, along with the corresponding test data. These steps must be expressed using natural language words that represent the actions performed by the user on the web UI. These files will then be interpreted and executed by a test execution tool. Which of the following approaches to test automation is BEST suited to achieve your goal?
Answer: A
Explanation:
The described goal matches the defining characteristics of keyword-driven testing: tests are expressed using keywords (action words) that represent user operations, often arranged in tabular form with parameters/test data. TAE describes keyword-driven approaches as enabling non-programmers (e.g., test analysts) to create and maintain tests by combining high-level keywords such as "Open Browser," "Click," "Enter Text,"
"Select," "Verify Text," etc., while the underlying automation framework maps those keywords to executable code. The use of files interpreted by a test execution tool is also typical: keyword tables (or similar structured specifications) are read and executed by the automation engine. Data-driven testing focuses on separating test logic from test data, typically running the same script multiple times with different datasets; it does not inherently require natural-language action words or tabular step definitions (though it can be combined).
Linear scripting is code-centric and not aligned with analyst-authored natural language step tables. TDD is unrelated to the requirement of tabular, natural-language keyword specification for UI test steps. Therefore, keyword-driven testing is the best fit for the stated approach.
NEW QUESTION # 65
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