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| Section | Objectives |
|---|---|
| Topic 1: The Generic Test Automation Architecture (gTAA) | - Designing a test automation solution - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Capabilities in a test automation architecture - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) - Approaches for automating test cases |
| Topic 2: Preparing for Test Automation | - SUT Testability (Observability and Controllability) - Design for Testability - Tool Selection and evaluation for specific technology stacks - Evaluating automation tools and technologies |
| Topic 3: Test Automation Reporting and Metrics | - Selecting appropriate metrics (e.g., percent automated, defect detection rate) - Proving value to stakeholders - Logging: detailed logs for debugging vs. high-level summaries - Visualizing results for different audiences (technical vs. management) |
| Topic 4: Continuous Improvement | - Refactoring test code - Upgrading tools and libraries - Streamlining test suites (removing obsolete tests) - Analyzing and adapting the test automation strategy over time - Maintaining automated testing assets |
| Topic 5: Verifying the Test Automation Solution (TAS) | - Verifying that the automation code itself is correct - Automated test suite verification - Checking the test environment setup |
| Topic 6: Introduction and Objectives for Test Automation | - How SUT (System Under Test) architecture impacts test tool suitability - Benefits and limitations of test automation - Test automation within different software development lifecycle models |
| Topic 7: Implementation of Test Automation | - SUT-specific adaptors - Configuration management in test automation - Integration of test automation with CI/CD pipelines - Test automation solution (TAS) implementation - Test environment configuration (URLs, Credentials, Test data, Common core library) - Test data management |
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NEW QUESTION # 73
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: A
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 # 74
Consider a SUT that small run on multiple platform during the execution of automated test runs. In each test run an automated test suite needs to be executed, with the same version of the TAF, against the same version of the SUT of each platform. Each platform shall have its own dedicated test environment. Your goal is to implement a process as automated as possible ( i.e with minimal manual intervention) that allows implementing a consistent setup of the TAS across the multiple test environments.
Which two of the following aspects are MOST relevant for achieving your goal in this scenario?
* The configuration of the TAS uses automated installation scripts
* The TAF saves the logs needed to debug errors in XML format
C)Features of the TAF not used by the automated tests have been tested
D)All the automated test cases contain the expected results
E)The TAS components are under configuration management
Answer: D
NEW QUESTION # 75
A SUT has an existing automated test suite.
Which of the following statements relating to the introduction of new features in the SUT is TRUE?
Answer: B
NEW QUESTION # 76
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: A
NEW QUESTION # 77
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: A
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 # 78
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