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| Section | Weight | Objectives |
|---|---|---|
| Preparation for Test Automation | 15% | - SUT Analysis for Test Automation - Design for Testability and Automation - Test Automation Architecture Design - Test Automation Tool Evaluation and Selection - Rollout and Deployment Considerations |
| Introduction and Objectives for Test Automation | 5% | - Success Factors for Test Automation - Purpose of Test Automation - Risks and Benefits of Test Automation |
| Transitioning from Manual to Automated Testing | 15% | - Criteria for Manual vs. Automated Testing - Automation Migration Strategies - Maintaining Automation Consistency |
| Test Automation Strategy and Roadmap | 15% | - Test Automation Planning - Test Automation Integration with CI/CD - Test Automation Maintenance - Test Automation Governance |
| Execution and Implementation of Test Automation | 35% | - Implementing Test Automation Solutions - Logging and Reporting Strategies - Designing Test Automation Solutions - Building Robust Automated Test Suites - Developing Test Automation Solutions - Verifying Test Automation Solutions |
| Test Automation Validation | 15% | - Test Automation Verification - Test Automation Assessment Metrics - Root Cause Analysis |
Itcertkr의 ISQI인증 CTAL-TAE_V2덤프로 시험공부를 하신다면 고객님의 시간은 물론이고 거금을 들여 학원등록하지 않아도 되기에 금전상에서도 많은 절약을 해드리게 됩니다. ISQI인증 CTAL-TAE_V2덤프 구매의향이 있으시면 무료샘플을 우선 체험해보세요.
질문 # 47
In which way would a feature toggle configuration be used?
정답：C
설명：
A feature toggle configuration can be defined for each SUT release or test environment to indicate which features are active. The automated testware can associate specific test cases and test suites with those features and then use the toggle configuration to determine which suites should execute for the applicable release or environment. This prevents automated tests for inactive functionality from being executed unnecessarily or producing misleading failures. Feature toggles therefore support test-selection and release-configuration management. They do not primarily determine which data sets are needed, define the test environment itself, or choose the test oracle used for verification. The CTAL-TAE syllabus explicitly identifies selection of the appropriate test suites as the test automation use of feature toggle configurations.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
질문 # 48
You are working as a TAE for a large insurance company that offers a wide range of products, including home, health, and motor insurance. Your next project will be a major change to the existing system for processing policy claims. The project's objective is to provide more flexibility in the process for claim authorization, according to the type of policy and nature of the claim, so that simple claims can be processed faster. It will follow a hybrid methodology with development and testing completed in 3-week iterations.
The most important functional and non-functional tests for the existing system have been automated. The older tests feature structured scripting, but the more recent ones have benefited from data-driven testing.
Which automation approach for the system-level tests would be MOST suitable for this project?
정답：A
설명：
Keyword-driven testing is the strongest progression for this scenario. The syllabus explains that keyword- driven testing builds on data-driven testing and expresses test cases as lists or tables of keywords together with their associated data. Crucially, keywords are defined from the user's perspective, allowing test analysts and business analysts to participate more directly in creating automated tests. This is valuable for an insurance claims system containing numerous business workflows, authorization rules, product variations, and frequent iterative changes. Structured scripting provides reusable libraries but retains greater technical dependence, while data-driven testing primarily improves reuse by executing the same scripts with multiple datasets. TDD is principally a development methodology oriented toward implementing functionality from tests. Therefore, keyword-driven testing provides the most suitable higher-level abstraction for evolving system-level business scenarios.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
질문 # 49
(Which of the following answers describes the LEAST relevant concern in selecting suitable test automation tools for a test automation project?)
정답：B
설명：
TAE tool selection focuses on factors that materially affect feasibility, total cost of ownership, and long-term sustainability of the Test Automation Solution (TAS): technical fit, skill fit, integration capability, licensing
/legal constraints, and cost model. Option A is directly relevant because the team's capability strongly influences whether a code-heavy tool and framework approach is realistic and maintainable. Option B is relevant because licensing constraints can affect usage rights, redistribution, modification, internal compliance, and legal risk-critical for tool adoption in many organizations. Option D is also highly relevant because commercial licensing costs and licensing models (named user vs. floating, execution limits, parallelism add-ons, feature tiers) impact budgeting and scaling, and therefore the project's viability. Option C, while important for general team effectiveness, is not a primary criterion for selecting automation tools; it does not describe tool capability, integration constraints, cost, or risk in a way that distinguishes one tool from another. TAE typically treats team collaboration/communication and roles as project and organizational concerns (e.g., governance and processes) rather than tool-selection criteria. Therefore, among the provided choices, "team personality mix" is the least relevant concern for choosing suitable test automation tools in a TAE-focused tool selection.
질문 # 50
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
정답：D
설명：
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)
질문 # 51
An automated test script makes a well-formed request to a REST API in the backend of a web app to add a single item for a product (with ID = 710) to the cart and expects a response confirming that the product is successfully added. The status line of the API response is HTTP/1.1 200 OK, while the response body indicates that the product is out of stock. The API response is correct, the test script fails but completes, and the message to log is: The product with ID = 710 is out of stock. Cart not updated. When this occurs, you are already aware that both the failed test and the API are behaving correctly and that the problem is in the test data. The TAS supports the following test logging levels: FATAL, ERROR, WARN, INFO, DEBUG. Which of the following is the MOST appropriate test logging level to use to log the specified message?
정답：A
설명：
TAE logging guidance focuses on making logs actionable while reflecting severity and intent. Here, the test failed due to an expected, non-system fault condition: the product is out of stock, which is a valid business- state response and confirms the API behaved correctly. The issue is that the test data (product availability) did not satisfy the test's precondition. This is not a fatal condition (FATAL) because execution continues and the overall system is not unusable. It is not best treated as ERROR either (not offered as an option here) because an error-level message usually indicates a defect, malfunction, or unexpected failure needing immediate engineering attention. INFO would be too low because it may be lost among normal run messages and does not adequately flag that the test outcome is affected by a precondition violation requiring action (e.g., reseeding data, choosing a different product ID). DEBUG is typically reserved for highly detailed diagnostic traces intended for deeper troubleshooting, not for highlighting a test-data problem affecting test validity.
WARN is intended for abnormal or noteworthy conditions that do not indicate a product defect but may require attention to maintain test reliability. Therefore, WARN is the most appropriate level.
질문 # 52
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CTAL-TAE_V2시험대비 덤프자료: https://www.itcertkr.com/CTAL-TAE_V2_exam.html
참고: Itcertkr에서 Google Drive로 공유하는 무료 2026 ISQI CTAL-TAE_V2 시험 문제집이 있습니다: https://drive.google.com/open?id=1DKx_PSCFp1X0pU6Jif7mP-3bdrOUQ04P