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| Section | Objectives |
|---|---|
| Topic 1: Test Automation Reporting and Metrics | - Proving value to stakeholders - Selecting appropriate metrics (e.g., percent automated, defect detection rate) - Visualizing results for different audiences (technical vs. management) - Logging: detailed logs for debugging vs. high-level summaries |
| Topic 2: Implementation of Test Automation | - Test data management - Test environment configuration (URLs, Credentials, Test data, Common core library) - Integration of test automation with CI/CD pipelines - SUT-specific adaptors - Test automation solution (TAS) implementation - Configuration management in test automation |
| Topic 3: Preparing for Test Automation | - Design for Testability - Tool Selection and evaluation for specific technology stacks - SUT Testability (Observability and Controllability) - Evaluating automation tools and technologies |
| Topic 4: Introduction and Objectives for Test Automation | - Test automation within different software development lifecycle models - How SUT (System Under Test) architecture impacts test tool suitability - Benefits and limitations of test automation |
| Topic 5: The Generic Test Automation Architecture (gTAA) | - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Designing a test automation solution - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) - Approaches for automating test cases - Capabilities in a test automation architecture |
| Topic 6: Continuous Improvement | - Analyzing and adapting the test automation strategy over time - Upgrading tools and libraries - Streamlining test suites (removing obsolete tests) - Maintaining automated testing assets - Refactoring test code |
| Topic 7: Verifying the Test Automation Solution (TAS) | - Checking the test environment setup - Verifying that the automation code itself is correct - Automated test suite verification |
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NEW QUESTION # 65
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: C
NEW QUESTION # 66
You are working on a TAS forstandaloneapplication. The automated tests are developed based on a automation framework that allows interaction with GUI elements using on object orientated API. The GUI elements includemenus, buttons, radio buttons, text toolbars and their properties.
Whilst automating a test, you have discovered that the GUI elements of some third party components are not identifiable by the automated tool you are using.
Which of the following is the FIRST step that you take to investigate this issue?
Answer: A
NEW QUESTION # 67
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: B
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 # 68
You are executing the first test run of a test automation suite of 200 tests. All the relevant information related to the state of the SUT and to the automated test execution is stored in a small database. During the Automated test run you observe that the first 10 test pass, while an abnormal termination occurs when executing the 11thtest. This test does not complete its execution and the overall execution of the suite is aborted. An immediate analysis of the abnormal termination is expected to be time consuming and you have been asked to produce a detailed report of the execution results for the first test run, as soon as possible.
What is the MOST important FIRST step to be taken immediately after the abnormal occurred when executing the 11thtest?
Answer: B
NEW QUESTION # 69
A TAS is used to run on a test environment a suite of automated regression tests, written at the UI level, on different releases of a web app: all executions complete successfully, always providing correct results (i.e., producing neither false positives nor false negatives). The tests, all independent of each other, consist of executable test scripts based on the flow model pattern which has been implemented in a three-layer TAF (test scripts, business logic, core libraries) by expanding the page object model via the facade pattern. Currently the suite takes too long to run, and the test scripts are considered too long in terms of LOC (Lines of Code).
Which of the following recommendations would you provide for improving the TAS (assuming it is possible to perform all of them)?
Answer: B
Explanation:
The primary problem is execution time; correctness and independence are already strong. TAE recommends improving feedback time for long-running regression suites by parallelizing execution when tests are independent and the infrastructure supports it. Because the tests are explicitly independent, they are well- suited to parallel execution across multiple environments (or multiple nodes within an environment), reducing overall wall-clock duration without changing test intent. Option B addresses crash recovery, but the scenario says executions complete successfully; crash recovery does not solve the current bottleneck. Option A changes the modeling pattern; it may or may not reduce LOC, but it introduces risk and rework without directly addressing runtime. Also, flow model and facade-expanded page objects are already architectural choices aimed at maintainability and reuse; replacing them is not the most direct solution for speed. Option D (improving SUT testability) can help in general, but it is invasive, expensive, and not targeted to the stated issue when tests already yield correct results. Therefore, the best improvement is to split the suite and run parts concurrently on different environments to reduce total execution time, consistent with TAE guidance on scaling automation execution.
NEW QUESTION # 70
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