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ISQI ISTQB Certified Tester Advanced Level - Test Automation Engineering CTAL-TAE (Syllabus v2.0) Sample Questions (Q14-Q19):
NEW QUESTION # 14
Which of the following practices can be used to specify the active (i.e., actually available) features for each release of the SUT and determine the corresponding automated tests that must be executed for a given release?
- A. Test-driven development
- B. The use of feature toggles
- C. Feature-driven development
- D. The use of feature files
Answer: B
Explanation:
TAE materials commonly describe feature toggles (feature flags) as a mechanism to control which features are active in a given release or deployment without necessarily changing the codebase structure for each variant. Because toggles determine what functionality is actually enabled, they provide a practical basis for selecting which automated tests should run for that release configuration. When a feature is disabled via a toggle, executing tests for it can create false failures or wasted effort; when enabled, the corresponding tests become relevant as release evidence. Feature-driven development is a product/development planning approach and does not, by itself, provide an operational mechanism to declare what is active at runtime.
Feature files (often associated with BDD) specify behavior scenarios, but they do not inherently indicate whether a feature is active in a particular release unless explicitly tied to toggles or release configuration.
TDD focuses on coding practices at the unit level and similarly does not specify release-time feature availability. Feature toggles directly express "active vs. inactive" functionality and can be used to drive risk- based and relevance-based test execution decisions, matching the requirement precisely.
NEW QUESTION # 15
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?
- A. First implement the change in the API authentication method, then upgrade the OS, and finally run all the updated test scripts
- B. First upgrade the OS, then implement the change in the API authentication method, and finally run all the updated test scripts
- C. Implement one change at a time and run a subset of the updated test scripts after each change, and finally run all the updated test scripts
- D. Implement one change at a time and run a subset of the updated test scripts after each change
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 # 16
Which of the following statements about contract testing is TRUE?
- A. Contract testing can be viewed as a specialized form of API testing that can be applied to effectively and efficiently test integration between microservices, but only if they interact with REST APIs
- B. Contract testing can be viewed as a specialized form of API testing that can be applied to effectively and efficiently test integration between systems, but only if they interact synchronously
- C. Contract testing, regardless of the approach chosen (provider-driven or consumer-driven) does not need to rely on the creation of stubs/mocks since it is used to implement integration testing, not unit
/component testing - D. The differences between the two approaches to contract testing stem primarily from which side creates the contract: this creation is done by the provider for the provider-driven approach and by the consumer (s) for the consumer-driven approach
Answer: D
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 # 17
A CI/CD pipeline consists of two phases: build and deployment. The build phase, among other activities, runs automated test cases at the following test levels: Component Testing (CT) and Component Integration Testing (CIT). If the build phase is successful, the deployment phase is started. The deployment phase first provisions the test environment infrastructure needed to deploy the SUT, then deploys the SUT to this environment, and finally triggers another separate pipeline that runs automated test cases at the following test levels: System Testing (ST) and Acceptance Testing (AT). Which of the following statements is TRUE?
- A. Automated test cases for CT-CIT can act as quality gates, while automated test cases for ST-AT cannot act as quality gates
- B. Both automated test cases for CT-CIT and ST-AT can act as quality gates
- C. Automated test cases for CT-CIT cannot act as quality gates, while automated test cases for ST-AT can act as quality gates
- D. Neither automated test cases for CT-CIT nor automated test cases for ST-AT can act as quality gates
Answer: B
Explanation:
TAE describes quality gates as defined checkpoints in pipelines where objective criteria determine whether the pipeline may proceed (e.g., thresholds, pass/fail rules, coverage, or risk-based acceptance). Automated tests at multiple levels can serve as such gates. In the build phase, CT and CIT are commonly used as strong, fast quality gates because they provide quick feedback on code correctness and integration of closely related components; failures typically block promotion. In the deployment phase, after provisioning and deploying into a test environment, automated System Testing and Acceptance Testing can also serve as quality gates for promoting a build to later stages or release candidates, especially when the organization relies on automated regression and automated acceptance criteria for release decisions. While ST/AT may take longer and may be more prone to environmental factors, TAE still supports using them as gates when they are sufficiently stable, relevant, and aligned with release risk. The scenario explicitly places ST/AT in a separate triggered pipeline, which still qualifies as a gating mechanism if downstream promotion depends on its outcome. Therefore, both CT-CIT and ST-AT can act as quality gates.
NEW QUESTION # 18
(Which of the following aspects of "design for testability" is MOST directly associated with the need to define precisely which interfaces are available in the SUT for test automation at different test levels?)
- A. Autonomy
- B. Architecture transparency
- C. Observability
- D. Controllability
Answer: B
Explanation:
In TAE, "design for testability" includes attributes that make it easier to create, execute, and maintain automated tests across levels (component, integration, system, UI). The need to define precisely which interfaces are available at different test levels-e.g., public APIs, service endpoints, message queues, UI automation hooks, test seams, logs, and internal test interfaces-maps most directly to architecture transparency. Architecture transparency concerns how clearly the system's structure, layers, and accessible interfaces are documented and exposed so test automation can reliably connect to the right interaction points.
This includes understanding which interfaces are stable, supported, and appropriate for each level of testing, and avoiding "guesswork" that increases brittleness. Controllability is about the ability to set inputs, states, and preconditions (e.g., reset data, seed databases, drive system state). Observability is about the ability to see outputs, internal states, and logs to assess outcomes. Autonomy concerns whether tests can run independently without external dependencies or manual intervention (e.g., isolated environments, stable test data). While controllability/observability/autonomy are critical for automation, the specific emphasis on "precisely defining which interfaces are available" is fundamentally an architectural transparency issue: clear interface availability and documentation enable correct, maintainable automation connections across test levels.
NEW QUESTION # 19
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