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ISQI ISTQB Certified Tester Advanced Level - Test Automation Engineering CTAL-TAE (Syllabus v2.0) Sample Questions (Q24-Q29):

NEW QUESTION # 24
A release candidate of a SUT, after being fully integrated with all other necessary systems, has successfully passed all required functional tests (90% were automated tests and 10% were manual tests). Now, it is necessary to perform reliability tests aimed at evaluating whether, under certain conditions, that release will be able to guarantee an MTBF (Mean Time Between Failures) in the production environment higher than a certain threshold (expressed in CPU time). Which of the following test environments is BEST suited to perform these reliability tests?

Answer: B

Explanation:
Reliability testing (e.g., long-duration runs, endurance/soak, stability measurements, MTBF assessment) requires an environment that closely resembles production in terms of configuration, resource allocation, deployment topology, integrations, and operational characteristics. TAE guidance emphasizes that measurements like MTBF are highly sensitive to environmental differences such as CPU quotas, background load, database sizing, network topology, virtualization settings, and monitoring agents. A local development environment is unsuitable because it is not representative, is often unstable, and typically lacks full system integration. A build environment focuses on building/packaging and fast verification, not production-like reliability evaluation. An integration environment can validate that systems work together, but it is frequently shared, changes often, and may not match production sizing and operational constraints; it is also commonly disrupted by other teams' deployments. Preproduction (often called staging) is designed to be the closest safe approximation to production while still allowing controlled testing, including reliability and performance- related evaluations, without risking real users or live data. Therefore, preproduction is the best-suited environment to run reliability tests intended to predict production MTBF behavior with credible confidence.


NEW QUESTION # 25
Which of the following statements about the relationship between TAA, TAS and TAF is true?

Answer: A

Explanation:
In TAE terminology, the Test Automation Architecture (TAA) is the conceptual, high-level blueprint that describes how automation will be structured, what layers exist, how components interact, and how the automation connects to the SUT and supporting systems. The Test Automation Solution (TAS) is the concrete realization of that architecture in a specific context-tools, infrastructure, pipelines, conventions, and components assembled to deliver automated testing capability. The Test Automation Framework (TAF) is a structured set of reusable libraries, guidelines, and mechanisms that supports efficient development, execution, reporting, and maintenance of automated tests; it is commonly a key part used to build the TAS.
TAE documents commonly present this relationship as: TAA (design) # implemented as TAS (solution) # constructed using one or more TAFs (framework elements) plus tools and environment components. Options B, C, and D invert these relationships and misrepresent the concept that architecture is implemented by a solution, not the other way around. Therefore, the statement that a TAF can be used to implement a TAS, which is an implementation of a TAA, is the correct relationship.


NEW QUESTION # 26
(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?)

Answer: C

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 # 27
A TAS that performs automated testing in a single test environment was successfully manually installed and configured from a central repository, with all its components in the correct versions. It was also verified that all TAS components in this environment are capable of providing reliable and repeatable performance. The TAS will be used to run several suites of automated regression test scripts on various SUTs in the test environment. Your current goal is to complete all preliminary verifications to ensure that the TAS works correctly. Which of the following activities would you perform FIRST?

Answer: D

Explanation:
TAE differentiates verifying the automation environment and infrastructure (the ability of the TAS to operate) from verifying the test suites' correctness (the behavior of specific automated tests). The scenario states the TAS was installed correctly and its components perform reliably in isolation. The next preliminary verification is ensuring the TAS can actually interact with the necessary systems and interfaces required to execute tests end-to-end: SUT endpoints, browsers/devices, authentication services, databases, messaging systems, third-party integrations, and any CI/CD or artifact services it must access. If connectivity is missing or unstable, any subsequent suite executions or repeatability checks can fail for reasons unrelated to test logic, creating noise and wasted investigation. Creating installation scripts (A) is valuable for scalability, but it is not needed to confirm the TAS works in the already-installed single environment. Checking expected results in scripts (D) and running suites repeatedly for determinism (C) are important, but they assume the TAS can reliably reach all required dependencies. TAE recommends validating connectivity and access prerequisites early as a gate for meaningful execution. Therefore, the first activity is to verify TAS connectivity to all required internal/external systems and interfaces.


NEW QUESTION # 28
A TAS is used to run on a test environment a suite of automated regression tests, written at the UI level, on different releases of a web app: all executions complete successfully, always providing correct results (i.e., producing neither false positives nor false negatives). The tests, all independent of each other, consist of executable test scripts based on the flow model pattern which has been implemented in a three-layer TAF (test scripts, business logic, core libraries) by expanding the page object model via the facade pattern. Currently the suite takes too long to run, and the test scripts are considered too long in terms of LOC (Lines of Code).
Which of the following recommendations would you provide for improving the TAS (assuming it is possible to perform all of them)?

Answer: C

Explanation:
The primary problem is execution time; correctness and independence are already strong. TAE recommends improving feedback time for long-running regression suites by parallelizing execution when tests are independent and the infrastructure supports it. Because the tests are explicitly independent, they are well- suited to parallel execution across multiple environments (or multiple nodes within an environment), reducing overall wall-clock duration without changing test intent. Option B addresses crash recovery, but the scenario says executions complete successfully; crash recovery does not solve the current bottleneck. Option A changes the modeling pattern; it may or may not reduce LOC, but it introduces risk and rework without directly addressing runtime. Also, flow model and facade-expanded page objects are already architectural choices aimed at maintainability and reuse; replacing them is not the most direct solution for speed. Option D (improving SUT testability) can help in general, but it is invasive, expensive, and not targeted to the stated issue when tests already yield correct results. Therefore, the best improvement is to split the suite and run parts concurrently on different environments to reduce total execution time, consistent with TAE guidance on scaling automation execution.


NEW QUESTION # 29
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