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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Reporting and Metrics | 12% | - Reporting to stakeholders - Collecting and analyzing data - Defining relevant automation metrics - Visualization and dashboards |
| Topic 2: Continuous Improvement | 19% | - Streamlining and maintaining test assets - Refactoring and optimizing automation - Upgrading tools and frameworks - Adapting to new technologies and requirements |
| Topic 3: Introduction and Objectives for Test Automation | 5% | - Test automation in software development lifecycle models - Purpose, benefits and limitations of test automation - Roles and responsibilities of a Test Automation Engineer |
| Topic 4: Implementation and Deployment Strategies | 12% | - Test execution strategies and environment management - Integration with CI/CD pipelines - Test data management approaches - Configuration management and version control |
| Topic 5: Implementing Test Automation | 11% | - Developing and maintaining automation components - Planning and running pilot projects - Handling synchronization, stability and reliability - Managing technical debt |
| Topic 6: Verifying the Test Automation Solution | 12% | - Assessing quality and reliability of automation - Validating test suite correctness - Verifying automation code and infrastructure |
| Topic 7: Test Automation Architecture | 15% | - Interoperability and integration concepts - Generic Test Automation Architecture (gTAA) - Layered frameworks and separation of concerns - Design principles and patterns for automation |
| Topic 8: Preparing for Test Automation | 14% | - Identifying automation opportunities and constraints - Cost, effort and ROI analysis - Assessing system testability and architecture - Evaluating and selecting test tools |
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NEW QUESTION # 64
You have been tasked with adding the execution of build verification tests to the current CI/CD pipeline used in an Agile project. The goal of these tests is to verify the stability of daily builds and ensure that the most recent changes have not altered core functionality. Currently, the first activity performed as part of this pipeline is the static source code analysis. Which of the following stages in the pipeline would you add the execution of these smoke tests to?
Answer: D
Explanation:
Build verification tests (often called smoke tests) are intended to provide fast confirmation that a new build is deployable and that core, end-to-end functionality remains intact. TAE describes these as early, lightweight checks that run after deployment to a suitable test environment, because they need an executable, running instance of the SUT to validate system readiness. Static analysis occurs before packaging/deployment and is a quality activity on source code; smoke tests are runtime checks. Running them before generating the build (A or B) is not feasible because there is no deployed artifact to validate. Running smoke tests as the final activity right before production release (D) defeats their purpose as an early feedback mechanism and increases risk by discovering basic failures too late. The practical and TAE-aligned placement is immediately after deploying the new build into the test environment and before launching broader, longer-running regression, system, or acceptance suites. This ensures failures are detected quickly, prevents wasting time running extensive tests on an unstable build, and provides a clear quality gate for "is this build worth testing further?" Therefore, stage C is the correct insertion point for build verification tests.
NEW QUESTION # 65
What outcome can happen as a result of a high level of test tool intrusion?
Answer: C
Explanation:
Test-tool intrusiveness occurs when the TAS interacts with or affects the SUT sufficiently that system behavior under automated testing differs from normal operational behavior. CTAL-TAE warns that close coupling between the TAS and SUT can influence functionality or performance. With a high degree of intrusion, failures may therefore appear during automated testing that would not be present in production.
Such false or automation-induced failures reduce confidence in the TAS and may force developers to reproduce failures manually before accepting them as genuine SUT defects. Although repeatability, configuration management, and test-data integrity are also relevant automation concerns, they are not the specific consequence identified for high tool intrusion. The syllabus explicitly identifies failures observed during testing but not evident in production as a possible outcome of excessive intrusiveness.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 66
(Which of the following statements refers to a typical advantage of test automation?)
Answer: B
Explanation:
In the ISTQB Test Automation Engineer (TAE) body of knowledge, a core, typical advantage of test automation is faster feedback through efficient execution, especially when tests are implemented at lower levels (e.g., API/service) rather than through the UI. UI tests inherently traverse more layers (browser, rendering, client-side code, network timing, and often multiple back-end calls), so they tend to be slower and more brittle. API-level tests bypass most UI-related overhead and interact closer to business logic/services, reducing execution time and improving reliability. Option A is incorrect because many results (e.g., visual aesthetics, subjective usability, tone, or "looks right") are not reliably machine-interpretable without specialized approaches and still often require human judgment. Option C may be possible in some contexts, but "AI redundancy identification" is not a typical, foundational advantage emphasized as a standard automation benefit. Option D is misleading: early defect detection is mainly achieved by earlier and more frequent execution (e.g., CI) and shifting tests left, not merely because a single automated run is shorter than manual execution. Therefore, the most typical advantage presented is that API automation generally runs faster than UI automation.
NEW QUESTION # 67
Which of the following statements about contract testing is TRUE?
Answer: A
Explanation:
TAE describes contract testing as verifying that two parties (e.g., consumer and provider services) adhere to an agreed interface contract, enabling earlier, more targeted detection of integration mismatches without requiring full end-to-end integration in every test run. A key distinction in approaches is indeed who defines
/publishes the contract. In provider-driven contracts, the provider defines the contract describing what it offers; consumers validate compatibility against it. In consumer-driven contract testing, consumers define expectations (often per consumer), and providers verify they satisfy those expectations. Option A is false because stubs/mocks (or simulated counterparts) are frequently used to allow each side to test independently and deterministically, which is one of contract testing's practical strengths. Option B is too narrow: contract testing can apply beyond REST (e.g., GraphQL, gRPC, messaging/event contracts). Option D is also too restrictive: it can apply to asynchronous interactions (events/messages) as well as synchronous calls.
Therefore, the accurate statement is option C.
NEW QUESTION # 68
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: C
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 # 69
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