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| Section | Objectives |
|---|---|
| The Generic Test Automation Architecture (gTAA) | - Approaches for automating test cases - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) - Capabilities in a test automation architecture - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Designing a test automation solution |
| 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 |
| Verifying the Test Automation Solution (TAS) | - Automated test suite verification - Verifying that the automation code itself is correct - Checking the test environment setup |
| Test Automation Reporting and Metrics | - Visualizing results for different audiences (technical vs. management) - Selecting appropriate metrics (e.g., percent automated, defect detection rate) - Proving value to stakeholders - Logging: detailed logs for debugging vs. high-level summaries |
| Implementation of Test Automation | - Test environment configuration (URLs, Credentials, Test data, Common core library) - Integration of test automation with CI/CD pipelines - Test automation solution (TAS) implementation - SUT-specific adaptors - Configuration management in test automation - Test data management |
| Preparing for Test Automation | - Design for Testability - SUT Testability (Observability and Controllability) - Tool Selection and evaluation for specific technology stacks - Evaluating automation tools and technologies |
| Continuous Improvement | - Maintaining automated testing assets - Refactoring test code - Streamlining test suites (removing obsolete tests) - Upgrading tools and libraries - Analyzing and adapting the test automation strategy over time |
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NEW QUESTION # 41
You are using a gTAA to create a TAS for a project. The TAS is aimed at automatically and executing test cases based on a use-case Modeling approaching that uses UML as a modeling language. All the interaction between TAS and SUT will only be at the API and GUI level.
Which of the following components of the gTAA would you EXCLUDE from the TAS?
Answer: B
NEW QUESTION # 42
A release candidate of a SUT, after being fully integrated with all other necessary systems, has successfully passed all required functional tests (90% were automated tests and 10% were manual tests). Now, it is necessary to perform reliability tests aimed at evaluating whether, under certain conditions, that release will be able to guarantee an MTBF (Mean Time Between Failures) in the production environment higher than a certain threshold (expressed in CPU time). Which of the following test environments is BEST suited to perform these reliability tests?
Answer: C
Explanation:
Reliability testing (e.g., long-duration runs, endurance/soak, stability measurements, MTBF assessment) requires an environment that closely resembles production in terms of configuration, resource allocation, deployment topology, integrations, and operational characteristics. TAE guidance emphasizes that measurements like MTBF are highly sensitive to environmental differences such as CPU quotas, background load, database sizing, network topology, virtualization settings, and monitoring agents. A local development environment is unsuitable because it is not representative, is often unstable, and typically lacks full system integration. A build environment focuses on building/packaging and fast verification, not production-like reliability evaluation. An integration environment can validate that systems work together, but it is frequently shared, changes often, and may not match production sizing and operational constraints; it is also commonly disrupted by other teams' deployments. Preproduction (often called staging) is designed to be the closest safe approximation to production while still allowing controlled testing, including reliability and performance- related evaluations, without risking real users or live data. Therefore, preproduction is the best-suited environment to run reliability tests intended to predict production MTBF behavior with credible confidence.
NEW QUESTION # 43
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: C
NEW QUESTION # 44
Which of the following is the BEST example of how static analysis tools can help improve the test automation code quality in terms of security?
Answer: C
Explanation:
TAE highlights that test automation code can introduce security risks, particularly when it handles secrets (API keys, passwords, tokens), test accounts, and connections to production-like systems. Static analysis tools can scan source code for insecure patterns and policy violations without executing the code. A common, high- impact security issue in automation is hard-coded credentials or secrets embedded in scripts, configuration files committed to version control, or test utilities. Detecting these is a direct security-quality improvement: it reduces exposure risk and supports compliance. Option A is incorrect because static analysis can produce false positives; detection heuristics are not perfect. Option B is useful for maintainability (duplication), but it is not specifically a security improvement example. Option D overclaims: static analysis cannot guarantee the absence of security vulnerabilities; it can only detect certain classes of issues. Therefore, the best security- focused example is that static analysis can identify hard-coded credentials and other sensitive data exposure in test automation code.
NEW QUESTION # 45
Which of the following descriptions of what some test automation tools can be used to do is TRUE?
Answer: A
Explanation:
TAE recognizes a range of supporting capabilities offered by test tools beyond pure scripted execution, including reporting, evidence capture, and run artifacts that help stakeholders understand what was tested.
Video recording of UI test sessions is a common feature in several UI automation ecosystems and cloud device
/browser platforms, used to provide visual evidence of steps performed, failures observed, and the application' s look-and-feel during execution. This supports debugging and communication with non-technical stakeholders. Option A overstates what test automation tools do: autonomously designing intuitive UIs and evaluating UX is largely outside typical test automation tool scope and requires human-centered design methods. Option C is also overstated: exploratory testing is inherently human-driven; tools can assist (session notes, heuristics support, telemetry) but do not truly conduct exploratory testing autonomously based on charters in the general TAE framing. Option B touches on advanced analytics and AI/ML-assisted quality insights; while some platforms offer risk prediction features, the phrasing implies broad predictive defect capability, which is not a standard, dependable tool function emphasized in TAE compared with concrete capabilities like artifact capture. Therefore, the clearly true, commonly supported capability is making video recordings of UI testing sessions.
NEW QUESTION # 46
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