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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Preparation for Test Automation | 15% | - Design for Testability and Automation - Rollout and Deployment Considerations - Test Automation Architecture Design - SUT Analysis for Test Automation - Test Automation Tool Evaluation and Selection |
| Topic 2: Test Automation Strategy and Roadmap | 15% | - Test Automation Maintenance - Test Automation Planning - Test Automation Integration with CI/CD - Test Automation Governance |
| Topic 3: Execution and Implementation of Test Automation | 35% | - Implementing Test Automation Solutions - Building Robust Automated Test Suites - Designing Test Automation Solutions - Logging and Reporting Strategies - Verifying Test Automation Solutions - Developing Test Automation Solutions |
| Topic 4: Transitioning from Manual to Automated Testing | 15% | - Maintaining Automation Consistency - Criteria for Manual vs. Automated Testing - Automation Migration Strategies |
| Topic 5: Introduction and Objectives for Test Automation | 5% | - Purpose of Test Automation - Success Factors for Test Automation - Risks and Benefits of Test Automation |
| Topic 6: Test Automation Validation | 15% | - Test Automation Assessment Metrics - Test Automation Verification - Root Cause Analysis |
>> CTAL-TAE_V2 Test Collection <<
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NEW QUESTION # 38
What is considered to be an ADVANTAGE of test automation?
Answer: A
Explanation:
One explicit advantage listed in CTAL-TAE is the ability to create and execute tests that cannot practically be performed manually. Examples include real-time response testing, remote testing, and parallel execution. This directly supports option D. Automation is not automatically cheaper or faster to develop and maintain than manual testing; substantial initial implementation and ongoing maintenance costs may be required.
Automated tests also do not inherently discover more defects, because defect detection depends on test design, coverage, risk focus, and suitable oracles rather than simply whether execution is automated.
Likewise, automated tests may actually require significant maintenance when the SUT changes, particularly when automation is tightly coupled to unstable interfaces. The genuine advantage is that automation enables repeatable, high-volume, time-sensitive, concurrent, or technically impractical test execution beyond what human manual execution can reasonably achieve.
(https://istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 39
The last few runs for a suite of automated keyword-driven tests on a SUT were never completed. The test where the run was aborted was not the same between runs. Currently, it is not possible to identify the root cause of these aborts, but only determine that test execution aborted when exceptions (e.g., NullPointerException, OutOfMemoryError) occurred on the SUT by analyzing its log files. Test execution log files are currently generated, in HTML format, by the TAS as follows: all expected logging data is logged for each keyword in intermediate log files. This data is then inserted into the final log file only for keywords that fail, while only a configurable subset of that data is logged for keywords that execute successfully. Which of the following actions (assuming it is possible to perform all of them) would you take FIRST to help find the root cause of the aborts?
Answer: D
Explanation:
TAE stresses that when diagnosing intermittent aborts with unclear root cause, the first priority is ensuring sufficient, consistent observability from the automation side to reconstruct what happened immediately before termination. In this scenario, the suite aborts in different tests across runs, and the final HTML report currently contains full detail only for failing keywords, while successful keywords have reduced logging. If the run aborts due to an exception in the SUT, the "last executed successful keywords" and their full context may be essential to correlate actions with the SUT failure point. The fastest, most direct improvement is to include complete keyword-level logging for successful steps as well, at least until the issue is understood.
This aligns with TAE guidance to temporarily increase logging verbosity during investigation to capture the sequence of actions, inputs, timings, and states leading up to failure. Option A could be helpful, but it changes SUT-side logging and may require additional access or instrumentation; also, it does not guarantee visibility into the exact automation step sequence. Options B and D improve presentation/performance of logs but do not add diagnostic content. Therefore, first increase the completeness of the final execution logs for all keywords to maximize evidence for root cause analysis.
NEW QUESTION # 40
A new TAS allows the implementation of automated data-driven test scripts. All the tasks planned for the initial deployment of this TAS, aimed at installing and configuring the TAS components and provisioning the infrastructure, will be performed manually by a dedicated, specialized team. This TAS is expected to be deployed in the future in other similar environments. As a TAE, you see a risk that the correct and reproducible deployment of the TAS cannot be guaranteed. Which of the following options is BEST suited for mitigating this risk?
Answer: B
Explanation:
TAE guidance treats repeatable, reliable deployment of the Test Automation Solution as a foundational requirement, especially when the TAS will be rolled out to multiple environments. Manual installation and provisioning are error-prone and difficult to reproduce consistently, even with skilled teams, due to small variations in steps, configuration drift, and undocumented assumptions. The recommended mitigation is to automate deployment activities using repeatable mechanisms (e.g., scripted installation, configuration management, Infrastructure as Code, versioned environment definitions). This supports traceability (what changed and when), repeatability (same inputs produce same environment), and rapid recovery (rebuild environments quickly after failure). Option A is explicitly unsafe because human processes are never guaranteed error-free and do not scale well across environments. Options B and C focus on test data and library organization, which can improve test maintainability, but they do not address the stated risk:
inconsistent and non-reproducible TAS deployment. By automating installation/configuration and infrastructure provisioning, the organization reduces deployment variance and ensures that future deployments of the TAS can be performed reliably, consistently, and auditable across similar environments, aligning directly with TAE best practices for sustaining automation at scale.
NEW QUESTION # 41
You are a TAE responsible for a TAS that is used on several products, all of which have simple UIs and utilize a range of APIs. Automation of the regression test suites for these products is generally going well, with repeatability and pass rates both at high levels. These regression suites include a large quantity of tests and the volume of code that has been written for them is substantial.
You are looking for ways to improve the test cases in this TAS. What approach would you use FIRST?
Answer: D
Explanation:
Schema validation is the most appropriate first improvement because the scenario emphasizes extensive API usage and a substantial volume of automation code, while reliability and repeatability are already high. CTAL- TAE explains that schema validation can validate API response properties, mandatory elements, object types, formats, and other rules against a defined schema. Instead of writing numerous individual assertions for every response field, one schema validation operation can perform many checks, significantly shortening test automation code and improving defect-detection efficiency. Test histograms are particularly useful for identifying fragile or unstable tests, which is not the main problem because repeatability is already high. AI- based self-healing is especially relevant to UI locator changes, while reliability growth models do not directly address excessive API test implementation code.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 42
Which of the following descriptions of what some test automation tools can be used to do is TRUE?
Answer: B
Explanation:
TAE recognizes a range of supporting capabilities offered by test tools beyond pure scripted execution, including reporting, evidence capture, and run artifacts that help stakeholders understand what was tested.
Video recording of UI test sessions is a common feature in several UI automation ecosystems and cloud device
/browser platforms, used to provide visual evidence of steps performed, failures observed, and the application' s look-and-feel during execution. This supports debugging and communication with non-technical stakeholders. Option A overstates what test automation tools do: autonomously designing intuitive UIs and evaluating UX is largely outside typical test automation tool scope and requires human-centered design methods. Option C is also overstated: exploratory testing is inherently human-driven; tools can assist (session notes, heuristics support, telemetry) but do not truly conduct exploratory testing autonomously based on charters in the general TAE framing. Option B touches on advanced analytics and AI/ML-assisted quality insights; while some platforms offer risk prediction features, the phrasing implies broad predictive defect capability, which is not a standard, dependable tool function emphasized in TAE compared with concrete capabilities like artifact capture. Therefore, the clearly true, commonly supported capability is making video recordings of UI testing sessions.
NEW QUESTION # 43
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