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The ISTQB Certified Tester Advanced Level - Test Automation Engineering CTAL-TAE (Syllabus v2.0) (CTAL-TAE_V2) certification is a valuable credential that every ISQI professional should earn it. The ISQI CTAL-TAE_V2 certification exam offers a great opportunity for beginners and experienced professionals to demonstrate their expertise. With the ISTQB Certified Tester Advanced Level - Test Automation Engineering CTAL-TAE (Syllabus v2.0) (CTAL-TAE_V2) certification exam everyone can upgrade their skills and knowledge. There are other several benefits that the CTAL-TAE_V2 Exam holders can achieve after the success of the ISTQB Certified Tester Advanced Level - Test Automation Engineering CTAL-TAE (Syllabus v2.0) (CTAL-TAE_V2) certification exam. However, you should keep in mind to pass the ISQI CTAL-TAE_V2 certification exam is not an easy task. It is a challenging job.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementation and Deployment Strategies | 12% | - Test data management approaches - Integration with CI/CD pipelines - Configuration management and version control - Test execution strategies and environment management |
| Topic 2: Continuous Improvement | 19% | - Refactoring and optimizing automation - Adapting to new technologies and requirements - Streamlining and maintaining test assets - Upgrading tools and frameworks |
| Topic 3: Reporting and Metrics | 12% | - Collecting and analyzing data - Visualization and dashboards - Reporting to stakeholders - Defining relevant automation metrics |
| Topic 4: 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 5: Test Automation Architecture | 15% | - Generic Test Automation Architecture (gTAA) - Interoperability and integration concepts - Design principles and patterns for automation - Layered frameworks and separation of concerns |
| Topic 6: Preparing for Test Automation | 14% | - Cost, effort and ROI analysis - Identifying automation opportunities and constraints - Assessing system testability and architecture - Evaluating and selecting test tools |
| Topic 7: Verifying the Test Automation Solution | 12% | - Validating test suite correctness - Verifying automation code and infrastructure - Assessing quality and reliability of automation |
| Topic 8: Implementing Test Automation | 11% | - Developing and maintaining automation components - Handling synchronization, stability and reliability - Managing technical debt - Planning and running pilot projects |
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NEW QUESTION # 37
When choosing an automation tool, which would be the BEST option for automation testers who have programming skills?
Answer: A
Explanation:
The syllabus states that a test automation approach and architecture should account for the roles and skill sets that must be supported. During tool evaluation, the language and technology of the automation tool and its IDE are explicit assessment criteria. For testers who already possess programming skills, selecting a tool whose language aligns with the SUT technology can leverage existing technical expertise, simplify integration, and reduce the learning and maintenance burden. A COTS tool is not automatically superior merely because it is commercial, and open-source tools should not be rejected solely because of their licensing model. Low-code or no-code tools can be useful where programming expertise is limited, but they do not exploit the stated strength of this team. Therefore, option A is the best contextual choice.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 38
You are a TAE responsible for a TAS that is used on several products, all of which have complex UIs. A substantial proportion of the automated tests break on a regular basis, usually for reasons associated with the UI. The investigation and maintenance this requires is significantly reducing the productivity of the teams and the return on investment.
You are looking for ways to improve the test cases in this TAS. Which of the following approaches would be MOST appropriate?
a) Artificial intelligence
b) Test histograms
c) Reliability growth modelling
d) Schema validation
e) Operational profiles
Answer: B
Explanation:
Both artificial intelligence and test histograms directly address unstable UI automation. CTAL-TAE explains that test histograms visualize test-result and test-data trends and help TAEs identify fragile test cases that should be refactored or redesigned. This is particularly useful when a substantial proportion of tests repeatedly break. AI and machine-learning techniques provide an additional UI-specific improvement: tools can detect changed locator values, identify replacement selectors through ML or image-recognition techniques, and apply self-healing mechanisms that reduce locator-related maintenance. Schema validation is primarily applicable to API and database data structures rather than complex UI instability. Reliability growth modelling and operational profiles address software reliability concerns rather than recurring automated UI maintenance. Therefore, combining test histograms for identifying fragile tests with AI-based self-healing for UI locator changes gives the strongest solution.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 39
A suite of automated test cases was run multiple times on the same release of the SUT in the same test environment. Consider analyzing a test histogram that shows the distribution of test results (pass, fail, etc.) for each test case across these runs. Which of the following potential issues is MOST likely to be identified as a result of such an analysis?
Answer: C
Explanation:
TAE recommends monitoring test results over repeated executions to detect non-determinism and flakiness. A histogram showing pass/fail distributions per test across multiple runs in the same environment and on the same SUT version is especially useful for identifying tests whose outcomes vary without corresponding changes. If a test sometimes passes and sometimes fails under equivalent conditions, the distribution reveals instability: repeated failures for the same test, intermittent patterns, or inconsistent outcomes compared with other tests that remain stable. This is a classic indicator of flaky tests or unstable test design (e.g., synchronization issues, hidden dependencies, data leakage, timing sensitivity) and is a key maintainability
/reliability concern in automation programs. While execution time outliers (A) require time-series or duration metrics rather than pass/fail distributions, a result histogram primarily focuses on outcome variability, not performance. Security vulnerabilities (B) are not identifiable from outcome distributions; they require static analysis, code review, or security testing methods. Maintainability issues (D) are generally inferred from code structure metrics (complexity, duplication), change frequency, or effort trends, not from pass/fail distributions across runs. Therefore, the most likely issue identified by analyzing such a histogram is unstable automated test cases.
NEW QUESTION # 40
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?
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 # 41
A SUT (SUT1) is a client-server system based on a thin client. The client is primarily a display and input interface, while the server provides almost all the resources and functionality of the system. Another SUT (SUT2) is a client-server system based on a fat client that relies little on the server and provides most of the resources and functionality of the system. A given TAS is used to implement automated tests on both SUT1 and SUT2. The main objective of the TAS is to cover as many system functionalities as possible through automated tests executed as fast as possible. Which of the following statements about the automation solution is BEST in this scenario?
Answer: A
Explanation:
TAE promotes selecting automation interfaces that maximize speed, robustness, and functional coverage while minimizing unnecessary UI traversal. For a thin client architecture, most business logic and system functionality resides on the server. To cover functionality efficiently, tests should interact as close as possible to where the logic is implemented-typically via server-side interfaces (e.g., APIs/services, backend endpoints, message interfaces). This reduces GUI overhead and accelerates execution while improving reliability. For a fat client, substantial logic resides on the client side; server-side automation alone may miss critical client behavior, validations, local processing, and UI-driven flows that embody much of the functionality. In such cases, client-side automation (often UI automation or client-level interfaces) is more directly aligned to achieving high functional coverage. TAE also highlights that the "best" interface depends on where behavior is implemented and which interface yields the most stable, fastest checks for the targeted risks. Therefore, the optimal combination is server-side automation for SUT1 (thin client) and client-side automation for SUT2 (fat client), which best meets the goal of broad coverage with minimal execution time.
NEW QUESTION # 42
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