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| Section | Weight | Objectives |
|---|---|---|
| Implementing Test Automation | 11% | - Handling data and interfaces - Testware development and maintenance - Development standards and practices |
| Preparation for Test Automation | 14% | - Assessing suitability for automation - Evaluation and selection of tools - Cost-benefit analysis |
| Reporting and Metrics | 12% | - Metrics for effectiveness and efficiency - Data collection and analysis - Reporting formats and stakeholders |
| Verification of Test Automation Solution | 12% | - Infrastructure validation - Verifying functionality and quality - Reliability and performance checks |
| Implementation and Deployment Strategies | 12% | - Deployment and execution strategies - Integration with CI/CD pipelines - Pilot projects and rollout |
| Test Automation Architecture | 15% | - Architecture concepts and layers - Frameworks and design patterns - Infrastructure and environment setup |
| Introduction and Objectives for Test Automation | 5% | - Test automation in software development lifecycle - Purpose and benefits of test automation - Roles and responsibilities |
| Continuous Improvement | 19% | - Optimization and maintenance - Evolving with technology and processes - Monitoring and feedback loops |
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NEW QUESTION # 39
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 # 40
Which of the following practices can be used to specify the active (i.e., actually available) features for each release of the SUT and determine the corresponding automated tests that must be executed for a given release?
Answer: C
Explanation:
TAE materials commonly describe feature toggles (feature flags) as a mechanism to control which features are active in a given release or deployment without necessarily changing the codebase structure for each variant. Because toggles determine what functionality is actually enabled, they provide a practical basis for selecting which automated tests should run for that release configuration. When a feature is disabled via a toggle, executing tests for it can create false failures or wasted effort; when enabled, the corresponding tests become relevant as release evidence. Feature-driven development is a product/development planning approach and does not, by itself, provide an operational mechanism to declare what is active at runtime.
Feature files (often associated with BDD) specify behavior scenarios, but they do not inherently indicate whether a feature is active in a particular release unless explicitly tied to toggles or release configuration.
TDD focuses on coding practices at the unit level and similarly does not specify release-time feature availability. Feature toggles directly express "active vs. inactive" functionality and can be used to drive risk- based and relevance-based test execution decisions, matching the requirement precisely.
NEW QUESTION # 41
You have been tasked with adding the execution of build verification tests to the current CI/CD pipeline used in an Agile project. The goal of these tests is to verify the stability of daily builds and ensure that the most recent changes have not altered core functionality. Currently, the first activity performed as part of this pipeline is the static source code analysis. Which of the following stages in the pipeline would you add the execution of these smoke tests to?
Answer: B
Explanation:
Build verification tests (often called smoke tests) are intended to provide fast confirmation that a new build is deployable and that core, end-to-end functionality remains intact. TAE describes these as early, lightweight checks that run after deployment to a suitable test environment, because they need an executable, running instance of the SUT to validate system readiness. Static analysis occurs before packaging/deployment and is a quality activity on source code; smoke tests are runtime checks. Running them before generating the build (A or B) is not feasible because there is no deployed artifact to validate. Running smoke tests as the final activity right before production release (D) defeats their purpose as an early feedback mechanism and increases risk by discovering basic failures too late. The practical and TAE-aligned placement is immediately after deploying the new build into the test environment and before launching broader, longer-running regression, system, or acceptance suites. This ensures failures are detected quickly, prevents wasting time running extensive tests on an unstable build, and provides a clear quality gate for "is this build worth testing further?" Therefore, stage C is the correct insertion point for build verification tests.
NEW QUESTION # 42
You are currently conducting a Proof of Concept (PoC) aimed at selecting a tool that will be used for the development of a TAS. This TAS will exclusively be used by one team within your organization to implement automated UI-level test scripts for two web apps. The two tools selected for the PoC use JavaScript
/TypeScript to implement the automated test scripts and offer capture and playback capabilities. Three test cases for each of the two web apps were selected to be automated during the PoC. The PoC will compare these two tools in terms of their effectiveness in recognizing and interacting with UI widgets exercised by the test cases, to quickly determine whether test automation is possible and which tool is better. Which of the following TAFs is BEST suited for conducting the PoC?
Answer: B
Explanation:
For a PoC whose primary goal is rapid feasibility assessment and tool comparison (especially around object recognition and interaction), TAE recommends minimizing framework complexity and upfront engineering.
In a PoC, you want the shortest path to executing representative tests so you can observe tool behavior, stability, locator robustness, synchronization support, and ease of driving the UI widgets in scope. A one-layer approach-simple test scripts with minimal abstraction-reduces the time spent building reusable libraries, enforcing architecture, or creating business layers that are not necessary for answering the PoC question.
Multi-layer frameworks (two-layer and beyond) are more appropriate when you are establishing maintainability, reuse, and scaling for long-term automation. Those benefits matter in the full TAS implementation, but they can distort PoC outcomes by introducing additional design decisions, patterns, and glue code that hide or compensate for tool limitations. Since only six test cases are being automated and the objective is to quickly determine whether UI automation is possible and which tool performs better at widget interaction, the simplest structure (one-layer TAF) is best aligned with TAE PoC guidance: rapid learning, minimal overhead, and clear attribution of outcomes to the tool rather than to framework design.
NEW QUESTION # 43
Which of the following statements about the reuse of TAS artefacts is TRUE?
Answer: A
NEW QUESTION # 44
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