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| Section | Objectives |
|---|---|
| Implementation of Test Automation | - Integration of test automation with CI/CD pipelines - Test automation solution (TAS) implementation - Configuration management in test automation - SUT-specific adaptors - Test data management - Test environment configuration (URLs, Credentials, Test data, Common core library) |
| Preparing for Test Automation | - Evaluating automation tools and technologies - Tool Selection and evaluation for specific technology stacks - SUT Testability (Observability and Controllability) - Design for Testability |
| The Generic Test Automation Architecture (gTAA) | - Designing a test automation solution - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Approaches for automating test cases - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Capabilities in a test automation architecture |
| Test Automation Reporting and Metrics | - 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 - Proving value to stakeholders |
| Introduction and Objectives for Test Automation | - Benefits and limitations of test automation - How SUT (System Under Test) architecture impacts test tool suitability - Test automation within different software development lifecycle models |
| Continuous Improvement | - Upgrading tools and libraries - Streamlining test suites (removing obsolete tests) - Refactoring test code - Analyzing and adapting the test automation strategy over time - Maintaining automated testing assets |
| Verifying the Test Automation Solution (TAS) | - Verifying that the automation code itself is correct - Checking the test environment setup - Automated test suite verification |
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NEW QUESTION # 73
Which of thefollowingstatementsdoes NOT describe good practice for maintaining the TAS?
Answer: A
NEW QUESTION # 74
What is NOT a factor in considering when you are asked to ensure an effective transition from manual to automated tests?
Answer: C
NEW QUESTION # 75
(In User Acceptance Testing (UAT) for a new SUT, in addition to the manual tests performed by the end- users, automated tests are performed that focus on the execution of repetitive and routine test scenarios. In which of the following environments are all these tests typically performed?)
Answer: C
Explanation:
TAE distinguishes test environments by purpose and risk. User Acceptance Testing is typically performed in an environment that is as production-like as feasible (configuration, data shape, integrations) but still controlled and safe for testing activities. This is commonly referred to aspreproduction(often "staging"): it supports realistic end-to-end flows, allows business users to validate that the SUT meets acceptance criteria, and enables running routine/repetitive automated checks without risking live operations. A build environment is focused on compiling/packaging and basic verification, not business acceptance. An integration environment is used to validate interactions among components/systems, but may not reflect full production- like configuration, and it's often shared and volatile-less suitable for formal acceptance activities involving end users. Production is generally avoided for UAT because acceptance testing can alter live data, disrupt users, and introduce unacceptable business risk; production testing is typically limited to tightly controlled smoke checks, monitoring, or specific "in-production" validation patterns with strong safeguards. Therefore, the environment in which both end-user manual UAT and supporting automated routine scenarios are typically executed is thepreproduction environment, aligning with TAE's guidance on balancing realism with risk containment.
NEW QUESTION # 76
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 # 77
Which of the following metrics could suggest, under certain condition that an automated regression test suite has NOT been updated for new functionalities added to the SUT?
Answer: C
NEW QUESTION # 78
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