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ISQI CTAL-TAE Exam Syllabus Topics:

Section	Objectives
Test Automation Development	- Test script design and coding standards - Framework implementation
Test Automation Metrics and Risk Management	- Measurement and reporting of automation effectiveness - Risk analysis for automation projects
Test Automation in the Software Lifecycle	- CI/CD integration considerations - Automation strategy within development processes
Deployment and Maintenance	- Maintenance and evolution of automation assets - Execution environments and tool integration
System Under Test (SUT) Analysis	- Testability and automation feasibility - SUT interfaces and dependencies
Introduction to Test Automation Engineering	- Purpose and scope of test automation - Success factors for automation
Test Automation Architecture Design	- Maintainability and scalability design - Architecture patterns for automation solutions

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ISQI ISTQB Certified Tester Advanced Level, Test Automation Engineering Sample Questions (Q53-Q58):

NEW QUESTION # 53
Consider a TAS associated to dynamically changing software frequent releases. Your goal is todetermine the amount of effort required to maintain the automated tests of the regression test suite for each new release of the SUT.
What is the MOST important metric to collect to achieve your goal?

A. The number of automated tests which fail because of a single software defect, for each new release of the SUT
B. The number ofautomated tests requiring maintenance, for each new release of the SUT.
C. The time it takes to execute all the automated tests, for each new release of the SUT.
D. The code coverage achieved with the automated tests,for each new release of the SUT

Answer: A

NEW QUESTION # 54
A regression test suite consist of 500 test cases which are all executed manually. The business case for a pilot project is based on the adoption of test automation using a commercial tool that will reduce the execution time by a factor of 90% for 100% of the tests in the regression test suite. The pilot project lasted one month ( as planned) and you are currently its results. At the end of the pilot project, 40% of the regression tests have been automated and their execution time has been reduce by 60%.
Which of the following statements is TRUE in this scenario?

A. The target defined for the business case is too accurate -it should not be measureable
B. The project selected for the pilot is too critical -if should not be too critical or too trivial
C. Thetarget defined for the business case seems difficult to hit - it should be realistic
D. The duration of the pilot project was too short -it should last unit the success factors are achieved

Answer: C

NEW QUESTION # 55
A defect in a SUT has been resolved and validated by an automated defect re-test in the current release of the software. This retest has now been addedto the automated regression test suite.
Which statement BEST describes a reason why this defect could re-occur in future releases?

A. The automated regression test suite has a narrower scope of functionality
B. Automated defect confirmation testing is not effective at confirming that the resolved defect will continue to work in future releases
C. The automated regression test suite is not run consistently for future releases.
D. The configuration management process does not properly control the synchronization between software archives

Answer: C

NEW QUESTION # 56
An automated test case that should always pass sometimes passes and sometimes fails intermittently (non- deterministic behavior) when executed in the same test environment, even if no code (i.e., SUT code or the test automation code) has been changed. Which of the following statements about the root cause of this non- deterministic behavior is TRUE?

A. The specified root cause must be in the instability of the test environment, since no code has been changed
B. Determining the specified root cause is certainly easier than if the automated test always fails (deterministic behavior)
C. Determining the specified root cause may require, in addition to the TAE, the support of others such as developers and system engineers
D. The specified root cause is a race condition that can be identified by also analyzing the log files of the test case, the SUT, and the TAF

Answer: C

Explanation:
TAE treats non-deterministic (flaky) test behavior as a symptom that can originate from multiple sources:
timing and synchronization issues, race conditions, concurrency, environmental variability (resource contention, network latency), unstable test data, third-party dependencies, or hidden state leakage between tests. Because these causes often span boundaries-application code, infrastructure, deployment configuration, test tooling, and data pipelines-finding the true root cause frequently requires collaboration beyond the TAE role. Developers may need to inspect application logs, thread behavior, and recent architectural assumptions; system engineers may need to analyze resource saturation, container orchestration events, network anomalies, or environment drift. Option A is too specific and assertive: the root cause is not necessarily a race condition, and logs may not be sufficient to identify it. Option C is incorrect because no code change does not imply the environment is the only cause; flaky behavior can stem from hidden nondeterminism in the system or tests that is always present but only sometimes triggers. Option D is also incorrect; intermittent failures are often harder to diagnose than consistent deterministic failures because evidence is less reproducible. Therefore, the true statement is that determining the root cause may require support from developers and system engineers in addition to the TAE.

NEW QUESTION # 57
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?

A. Preproduction environment
B. Build environment
C. Local development environment
D. Integration environment

Answer: A

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 # 58
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