CTAL-TAE_V2試験に合格したい場合、CTAL-TAE_V2練習問題は欠席できない基本的な試験資料です。 忠実なお客様からは、CTAL-TAE_V2練習教材の合格率がこれまでに98〜100％に達していることが証明されています。 また、CTAL-TAE_V2試験トレントの無料アップデートが1年間無料でメールボックスに送信されます。CTAL-TAE_V2練習資料の使用中に素晴らしい経験ができることを願っています。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementation and Deployment Strategies | 12% | - Test execution strategies and environment management - Configuration management and version control - Integration with CI/CD pipelines - Test data management approaches |
| Topic 2: Verifying the Test Automation Solution | 12% | - Assessing quality and reliability of automation - Verifying automation code and infrastructure - Validating test suite correctness |
| Topic 3: Preparing for Test Automation | 14% | - Cost, effort and ROI analysis - Evaluating and selecting test tools - Identifying automation opportunities and constraints - Assessing system testability and architecture |
| Topic 4: Test Automation Architecture | 15% | - Design principles and patterns for automation - Interoperability and integration concepts - Layered frameworks and separation of concerns - Generic Test Automation Architecture (gTAA) |
| Topic 5: Implementing Test Automation | 11% | - Handling synchronization, stability and reliability - Managing technical debt - Planning and running pilot projects - Developing and maintaining automation components |
| Topic 6: Introduction and Objectives for Test Automation | 5% | - Purpose, benefits and limitations of test automation - Roles and responsibilities of a Test Automation Engineer - Test automation in software development lifecycle models |
| Topic 7: Reporting and Metrics | 12% | - Reporting to stakeholders - Defining relevant automation metrics - Visualization and dashboards - Collecting and analyzing data |
| Topic 8: Continuous Improvement | 19% | - Refactoring and optimizing automation - Adapting to new technologies and requirements - Streamlining and maintaining test assets - Upgrading tools and frameworks |
CTAL-TAE_V2学習教材の試用版を無料でダウンロードできます。 CTAL-TAE_V2学習教材の試用版を使用した後、CTAL-TAE_V2トレーニングエンジンの利点をより深く理解できると思います。社会の発展により、CTAL-TAE_V2学習教材を進歩させて使用し、より速く進歩し、この時代のリーダーになるように促しています。必要なのは、最高の試験準備資料です。私たちのCTAL-TAE_V2試験シミュレーションは、より良い未来にあなたを連れて行きます。
質問 # 74
As a TAE, you are evaluating a test automation tool to automate some UI tests for a web app. The automated tests will first locate the required HTML elements on the web page using their corresponding identifiers (locators), then perform actions on those elements, and finally check the presence of any expected text for an HTML element. These tests are independent of each other and are organized into a test suite that must be run every night against the most recent build of the web app. There is a high risk that the web app will crash while running some automated tests. Based only on the given information, which of the following is your MOST important concern related to the evaluation of the test automation tool?
正解：D
解説：
Given the explicit risk that the web app may crash during execution, the highest-priority tool capability is resilience: the ability to recover, continue, and provide usable results from unattended nightly runs. TAE emphasizes that automation must be reliable as a process, not just at the single-test level. If one crash aborts the entire suite, the organization loses feedback for many tests, reduces confidence in the pipeline, and increases triage cost. Therefore, capabilities such as automatic restart of the browser/app, test isolation, robust teardown, failure handling, skipping/marking affected tests, and resuming execution with proper reporting are critical evaluation criteria. Option A (descriptive meta-language) can help readability or non-coder authoring but is not the most urgent need based on the scenario. Option C (mock server) is useful for isolating dependencies in some test levels, but the scenario is UI tests against the most recent build; nothing indicates an API dependency problem that drives tool selection here. Option D (licensing feature sets) affects procurement, but it does not directly mitigate the stated operational risk. Hence, recovery and continuation support is the most important concern.
質問 # 75
You are employed as a TAE on a project to build a purchasing system. The main requirements for the system are:
1) Allow users to enter details of items that they wish to have purchased and, from these details, create a purchase request.
2) Take each purchase request through a workflow that will allow the requestor's line manager to approve the request, reject it, or return it for clarification/modification.
3) Forward approved requests to the Purchasing Department.
4) Allow purchasers to find the best available supplier and place the request on that supplier as a purchase order.
Requirement 1 has now been delivered and has been satisfactorily tested manually. In parallel, you have developed a TAS so that functional suitability testing can be automated.
The functional suitability testing of Requirement 1 has now been automated as fully as possible. A change to add audit logging of user activity is planned but has not yet been made. After a small change to the UI code, the last regression run contained a significant number of unexplained test failures. At the point each test stopped, the actual and expected results showed no discrepancies. In each case, the run was able to continue with the next test in the suite. Preliminary investigation showed that the points at which these tests stopped had nothing obvious in common.
Which option below contains the BEST next steps to investigate this?
正解：B
解説：
The syllabus provides a particularly strong diagnostic rule for this situation. When an automated test reports a failure but the actual and expected states of the SUT match, the most likely explanations are a defect within the TAS or an otherwise invisible mismatch. Therefore, the existing TAS and execution logs should first be analyzed to identify where the automation itself malfunctioned. An environment outage is less consistent with the evidence because such outages can cause widespread failures associated with unavailable system components, whereas these failures occurred at apparently unrelated points and execution continued. Audit logging and correlation IDs can substantially improve later analysis, but the planned feature is not yet available and is not the immediate first diagnostic action. The current evidence therefore points first toward investigating TAS execution behavior.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
質問 # 76
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?
正解：D
解説：
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.
質問 # 77
What is considered to be an ADVANTAGE of test automation?
正解：C
解説：
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)
質問 # 78
(Which of the following statements refers to a typical advantage of test automation?)
正解：D
解説：
In the ISTQB Test Automation Engineer (TAE) body of knowledge, a core, typical advantage of test automation is faster feedback through efficient execution, especially when tests are implemented at lower levels (e.g., API/service) rather than through the UI. UI tests inherently traverse more layers (browser, rendering, client-side code, network timing, and often multiple back-end calls), so they tend to be slower and more brittle. API-level tests bypass most UI-related overhead and interact closer to business logic/services, reducing execution time and improving reliability. Option A is incorrect because many results (e.g., visual aesthetics, subjective usability, tone, or "looks right") are not reliably machine-interpretable without specialized approaches and still often require human judgment. Option C may be possible in some contexts, but "AI redundancy identification" is not a typical, foundational advantage emphasized as a standard automation benefit. Option D is misleading: early defect detection is mainly achieved by earlier and more frequent execution (e.g., CI) and shifting tests left, not merely because a single automated run is shorter than manual execution. Therefore, the most typical advantage presented is that API automation generally runs faster than UI automation.
質問 # 79
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