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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test Automation Architecture | 15% | - Generic Test Automation Architecture (gTAA) - Interoperability and integration concepts - Layered frameworks and separation of concerns - Design principles and patterns for automation |
| 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: Implementing Test Automation | 11% | - Developing and maintaining automation components - Managing technical debt - Planning and running pilot projects - Handling synchronization, stability and reliability |
| Topic 4: Implementation and Deployment Strategies | 12% | - Configuration management and version control - Test execution strategies and environment management - Test data management approaches - Integration with CI/CD pipelines |
| Topic 5: Reporting and Metrics | 12% | - Defining relevant automation metrics - Collecting and analyzing data - Reporting to stakeholders - Visualization and dashboards |
| 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: Preparing for Test Automation | 14% | - Cost, effort and ROI analysis - Assessing system testability and architecture - Evaluating and selecting test tools - Identifying automation opportunities and constraints |
| Topic 8: Verifying the Test Automation Solution | 12% | - Validating test suite correctness - Assessing quality and reliability of automation - Verifying automation code and infrastructure |
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質問 # 40
You are evaluating the best approach to implement automated tests at the UI level for a web app. Specifically, your goal is to allow test analysts to write automated tests in tabular format, within files that encapsulate logical test steps related to how a user interacts with the web UI, along with the corresponding test data. These steps must be expressed using natural language words that represent the actions performed by the user on the web UI. These files will then be interpreted and executed by a test execution tool. Which of the following approaches to test automation is BEST suited to achieve your goal?
正解：C
解説：
The described goal matches the defining characteristics of keyword-driven testing: tests are expressed using keywords (action words) that represent user operations, often arranged in tabular form with parameters/test data. TAE describes keyword-driven approaches as enabling non-programmers (e.g., test analysts) to create and maintain tests by combining high-level keywords such as "Open Browser," "Click," "Enter Text,"
"Select," "Verify Text," etc., while the underlying automation framework maps those keywords to executable code. The use of files interpreted by a test execution tool is also typical: keyword tables (or similar structured specifications) are read and executed by the automation engine. Data-driven testing focuses on separating test logic from test data, typically running the same script multiple times with different datasets; it does not inherently require natural-language action words or tabular step definitions (though it can be combined).
Linear scripting is code-centric and not aligned with analyst-authored natural language step tables. TDD is unrelated to the requirement of tabular, natural-language keyword specification for UI test steps. Therefore, keyword-driven testing is the best fit for the stated approach.
質問 # 41
Which option correctly pairs test automation design principles and patterns with their characteristics?
1. Hides implementation details to expose only what the testers need to create in their test cases.
2. Creates a class file so that updates to locators need to be made in only one place.
3. Includes the idea that components should be freely substitutable with no adverse impact.
4. Introduces an additional facade which stores user actions that interact with page objects.
正解：A、B、C、D
解説：
The mappings correspond directly to the design principles and patterns defined in the CTAL-TAE syllabus.
The Facade pattern hides implementation details and exposes only what testers require when creating tests.
The Page Object Model encapsulates page-specific locators in a class so changes to the SUT structure generally require updating the locator in one place. SOLID includes the Liskov Substitution Principle, under which components should be substitutable without adversely affecting correct behavior. The Flow Model extends the Page Object Model by introducing an additional facade that stores reusable user actions interacting with page objects. These patterns improve abstraction, maintainability, readability, reuse, and scalability of automation code. Therefore, the correct mapping is 1-A, 2-D, 3-B, and 4-C.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
質問 # 42
(Which of the following answers describes the LEAST relevant concern in selecting suitable test automation tools for a test automation project?)
正解：A
解説：
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.
質問 # 43
(In User Acceptance Testing (UAT) for a new SUT, in addition to the manual tests performed by the end- users, automated tests are performed that focus on the execution of repetitive and routine test scenarios. In which of the following environments are all these tests typically performed?)
正解：B
解説：
TAE distinguishes test environments by purpose and risk. User Acceptance Testing is typically performed in an environment that is as production-like as feasible (configuration, data shape, integrations) but still controlled and safe for testing activities. This is commonly referred to as preproduction (often "staging"): it supports realistic end-to-end flows, allows business users to validate that the SUT meets acceptance criteria, and enables running routine/repetitive automated checks without risking live operations. A build environment is focused on compiling/packaging and basic verification, not business acceptance. An integration environment is used to validate interactions among components/systems, but may not reflect full production- like configuration, and it's often shared and volatile-less suitable for formal acceptance activities involving end users. Production is generally avoided for UAT because acceptance testing can alter live data, disrupt users, and introduce unacceptable business risk; production testing is typically limited to tightly controlled smoke checks, monitoring, or specific "in-production" validation patterns with strong safeguards. Therefore, the environment in which both end-user manual UAT and supporting automated routine scenarios are typically executed is the preproduction environment, aligning with TAE's guidance on balancing realism with risk containment.
質問 # 44
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：D
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 # 45
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