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| Section | Objectives |
|---|---|
| Verifying the Test Automation Solution (TAS) | - Verifying that the automation code itself is correct - Checking the test environment setup - Automated test suite verification |
| Implementation of Test Automation | - Configuration management in test automation - SUT-specific adaptors - Test data management - Integration of test automation with CI/CD pipelines - Test automation solution (TAS) implementation - Test environment configuration (URLs, Credentials, Test data, Common core library) |
| The Generic Test Automation Architecture (gTAA) | - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Approaches for automating test cases - Capabilities in a test automation architecture - Designing a test automation solution - 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) |
| Test Automation Reporting and Metrics | - 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) - Proving value to stakeholders |
| 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 |
| 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 |
| Continuous Improvement | - Upgrading tools and libraries - Analyzing and adapting the test automation strategy over time - Maintaining automated testing assets - Refactoring test code - Streamlining test suites (removing obsolete tests) |
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NEW QUESTION # 41
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 # 42
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 # 43
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: A
NEW QUESTION # 44
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: A
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 # 45
Which of the following statement about the implementation of automated regression testing is FALSE?
Answer: B
NEW QUESTION # 46
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