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| Section | Weight | Objectives |
|---|---|---|
| Reporting and Metrics | 12% | - Collecting and analyzing data - Defining relevant automation metrics - Visualization and dashboards - Reporting to stakeholders |
| Implementation and Deployment Strategies | 12% | - Integration with CI/CD pipelines - Test data management approaches - Configuration management and version control - Test execution strategies and environment management |
| Verifying the Test Automation Solution | 12% | - Verifying automation code and infrastructure - Assessing quality and reliability of automation - Validating test suite correctness |
| Continuous Improvement | 19% | - Upgrading tools and frameworks - Adapting to new technologies and requirements - Streamlining and maintaining test assets - Refactoring and optimizing automation |
| Preparing for Test Automation | 14% | - Evaluating and selecting test tools - Assessing system testability and architecture - Cost, effort and ROI analysis - Identifying automation opportunities and constraints |
| Test Automation Architecture | 15% | - Interoperability and integration concepts - Generic Test Automation Architecture (gTAA) - Design principles and patterns for automation - Layered frameworks and separation of concerns |
| Implementing Test Automation | 11% | - Planning and running pilot projects - Developing and maintaining automation components - Managing technical debt - Handling synchronization, stability and reliability |
| Introduction and Objectives for Test Automation | 5% | - Purpose, benefits and limitations of test automation - Roles and responsibilities of a Test Automation Engineer - Test automation in software development lifecycle models |
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NEW QUESTION # 23
Consider a TAS implemented to perform automated testing on native mobile apps at the UI level, where the TAF implements a client-server architecture. The client runs on-premise and allows creation of automated test scripts using TAF libraries to recognize and interact with the app's UI objects. The server runs in the cloud as part of a PaaS service, receiving commands from the client, translating them into actions for the mobile device, and sending the results to the client. The cloud platform hosts several mobile devices dedicated for use by this TAS. The device on which to run test scripts/test suites is specified at run time. You are currently verifying whether the test automation environment and all other TAS/TAF components work correctly. Which of the following activities would you perform to achieve your goal?
Answer: B
Explanation:
The task is to verify the test automation environment and TAS/TAF components, not to validate the correctness of specific test suites. In a client-server TAF for mobile automation, a critical component is the automation library layer that exposes functions to locate and interact with UI objects, and that communicates with the cloud server/device farm. TAE guidance highlights that environment verification should focus on ensuring that the automation tooling stack can reliably perform its fundamental operations: connect to the execution infrastructure, select target devices at runtime, execute commands, and receive results. Checking that the TAF libraries correctly recognize and interact with widgets directly validates that the end-to-end automation mechanism (client # server # device # response) is functioning. Option A is not appropriate because the server is on PaaS; infrastructure management is typically handled by the provider and is not part of validating your TAS operation. Option B is incorrect because the scenario states the device is specified at run time, so hard-coding device references is not the expected design and is not the right verification focus.
Option D concerns test suite correctness (expected results), which is a later step after confirming the automation environment works. Therefore, verifying that the TAF libraries function as expected is the correct activity.
NEW QUESTION # 24
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 # 25
As a TA-E, you have successfully verified that a test automation environment and all other components of the TAS are working as expected. Now your goal is to verify the correct behavior for a given automated test suite that will be run by the TAS. Which of the following should NOT be part of the verifications aimed at achieving your goal?
Answer: B
Explanation:
TAE separates two verification scopes: (1) verifying the automation environment and TAS components (infrastructure, connectivity, toolchain readiness), and (2) verifying the correctness and trustworthiness of a specific automated test suite (test completeness, determinism, result validity). The scenario explicitly states that the environment and all TAS components have already been verified as working as expected.
Connectivity between the TAS and internal/external systems is an environment-level readiness check and therefore belongs primarily to the first scope. For the second scope-verifying the behavior of the automated test suite-TAE emphasizes ensuring tests are complete (including correct expected results and data), are repeatable/deterministic across runs, and that the approach/tool intrusion level is understood so stakeholders can interpret confidence in results. That maps to options B, C, and D as suite-focused considerations. Option A repeats an environment connectivity check that should have been addressed in the prior phase and is not a core part of verifying the suite's behavior once environment readiness has been established. Therefore, option A should NOT be part of the suite-behavior verification in this stated situation.
NEW QUESTION # 26
(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: D
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 as preproduction (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 the preproduction environment, aligning with TAE's guidance on balancing realism with risk containment.
NEW QUESTION # 27
To improve the maintainability of test automation code, it is recommended to adopt design principles and design patterns that allow the code to be structured into:
Answer: D
Explanation:
TAE aligns maintainable automation with classic software design fundamentals: modules should have clear responsibilities (high cohesion) and minimal dependencies on one another (low coupling). High cohesion means each module focuses on a well-defined purpose-e.g., a page object responsible only for UI element interaction for a page, or an API client responsible only for a service boundary-making it easier to understand, test, and change. Low coupling means changes in one module are less likely to ripple across many others, which is crucial in test automation where UI locators, workflows, and environments change frequently.
Patterns and principles promoted in TAE contexts (e.g., layered frameworks, encapsulation, separation of concerns, facade/page objects, adapters) are commonly used to achieve this structure. Options A and D are undesirable because low cohesion increases confusion and duplication, while high coupling increases fragility and maintenance cost. Option B (high coupling, high cohesion) still leaves the codebase vulnerable to cascading changes and tight dependencies on tools or SUT details. Therefore, the recommended structure for maintainable test automation code is loosely coupled and highly cohesive modules.
NEW QUESTION # 28
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