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| Section | Objectives |
|---|---|
| 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 |
| Verifying the Test Automation Solution (TAS) | - Verifying that the automation code itself is correct - Automated test suite verification - Checking the test environment setup |
| Implementation of Test Automation | - Integration of test automation with CI/CD pipelines - Test data management - SUT-specific adaptors - Test environment configuration (URLs, Credentials, Test data, Common core library) - Test automation solution (TAS) implementation - Configuration management in test automation |
| Continuous Improvement | - Refactoring test code - Upgrading tools and libraries - Analyzing and adapting the test automation strategy over time - Maintaining automated testing assets - Streamlining test suites (removing obsolete tests) |
| Preparing for Test Automation | - Evaluating automation tools and technologies - SUT Testability (Observability and Controllability) - Design for Testability - Tool Selection and evaluation for specific technology stacks |
| The Generic Test Automation Architecture (gTAA) | - Designing a test automation solution - 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) |
| Test Automation Reporting and Metrics | - Visualizing results for different audiences (technical vs. management) - Proving value to stakeholders - Selecting appropriate metrics (e.g., percent automated, defect detection rate) - Logging: detailed logs for debugging vs. high-level summaries |
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NEW QUESTION # 10
Some automated regression test scripts run by a TAS in a given test environment make calls to private APIs that require authentication for all requests (the authentication method is the same for all APIs). The SUT is a business-critical system. The following two changes are planned: a change in the authentication method of all APIs and a minor upgrade of the OS (Operating System) in the test environment. You have updated the test scripts to cope with the change in the API authentication method. Which of the following sequences of activities is BEST to ensure that the test scripts are not adversely affected by these changes?
Answer: C
Explanation:
TAE recommends controlled change management to isolate causes when multiple changes are introduced.
When you apply more than one change at once, diagnosing failures becomes harder because you cannot easily attribute effects to a specific change. The best practice is to implement changes incrementally, validating automation and system behavior after each change using a representative subset of tests (e.g., smoke/build verification or targeted regression) to quickly detect issues. Because the system is business-critical, risk mitigation is stronger: you want early detection and clear attribution. After each change is validated with a subset, you then execute the full updated regression suite to ensure overall coverage and confidence. Options A and C apply two changes before running tests, which reduces diagnostic clarity and increases the risk of late discovery. Option D describes incremental changes with subset testing but omits the final full-suite run, which TAE would recommend to ensure broad coverage after all changes have been applied. Therefore, the best sequence is: change one item, run a subset, repeat for the next change, then run all updated scripts.
NEW QUESTION # 11
A defect in a SUT has been resolved and validated by an automated defect re-test in the current release of the software. This retest has now been addedto the automated regression test suite.
Which statement BEST describes a reason why this defect could re-occur in future releases?
Answer: B
NEW QUESTION # 12
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: D
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 # 13
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 # 14
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: C
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 # 15
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