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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementing Test Automation | 11% | - Managing technical debt - Developing and maintaining automation components - Handling synchronization, stability and reliability - Planning and running pilot projects |
| Topic 2: Implementation and Deployment Strategies | 12% | - Configuration management and version control - Test data management approaches - Integration with CI/CD pipelines - Test execution strategies and environment management |
| Topic 3: Introduction and Objectives for Test Automation | 5% | - Roles and responsibilities of a Test Automation Engineer - Test automation in software development lifecycle models - Purpose, benefits and limitations of test automation |
| Topic 4: Continuous Improvement | 19% | - Upgrading tools and frameworks - Refactoring and optimizing automation - Streamlining and maintaining test assets - Adapting to new technologies and requirements |
| Topic 5: Preparing for Test Automation | 14% | - Evaluating and selecting test tools - Cost, effort and ROI analysis - Identifying automation opportunities and constraints - Assessing system testability and architecture |
| Topic 6: Test Automation Architecture | 15% | - Layered frameworks and separation of concerns - Generic Test Automation Architecture (gTAA) - Design principles and patterns for automation - Interoperability and integration concepts |
| Topic 7: Reporting and Metrics | 12% | - Collecting and analyzing data - Defining relevant automation metrics - Reporting to stakeholders - Visualization and dashboards |
| Topic 8: Verifying the Test Automation Solution | 12% | - Verifying automation code and infrastructure - Assessing quality and reliability of automation - Validating test suite correctness |
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質問 # 19
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?
正解：A
解説：
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.
質問 # 20
Some automated regression test scripts run by a TAS in a given test environment make calls to private APIs that require authentication for all requests (the authentication method is the same for all APIs). The SUT is a business-critical system. The following two changes are planned: a change in the authentication method of all APIs and a minor upgrade of the OS (Operating System) in the test environment. You have updated the test scripts to cope with the change in the API authentication method. Which of the following sequences of activities is BEST to ensure that the test scripts are not adversely affected by these changes?
正解：D
解説：
TAE recommends controlled change management to isolate causes when multiple changes are introduced.
When you apply more than one change at once, diagnosing failures becomes harder because you cannot easily attribute effects to a specific change. The best practice is to implement changes incrementally, validating automation and system behavior after each change using a representative subset of tests (e.g., smoke/build verification or targeted regression) to quickly detect issues. Because the system is business-critical, risk mitigation is stronger: you want early detection and clear attribution. After each change is validated with a subset, you then execute the full updated regression suite to ensure overall coverage and confidence. Options A and C apply two changes before running tests, which reduces diagnostic clarity and increases the risk of late discovery. Option D describes incremental changes with subset testing but omits the final full-suite run, which TAE would recommend to ensure broad coverage after all changes have been applied. Therefore, the best sequence is: change one item, run a subset, repeat for the next change, then run all updated scripts.
質問 # 21
Which of the following information in API documentation is LEAST relevant for implementing automated tests on that API?
正解：D
解説：
To implement automated API tests, TAE emphasizes that testers need precise, actionable interface specifications: what endpoints exist, what inputs they accept, how to authenticate/authorize requests, and what outputs are returned (status codes, headers, response body schemas/formats). Options B, C, and D directly support test design and implementation: parameter details enable valid/invalid request construction and boundary coverage; authentication mechanisms are required to execute any protected calls and to test auth- related behaviors; response formats enable robust assertions (including schema validation). Release notes and change logs are valuable for understanding evolution, migration, and backward compatibility considerations, but they are not typically required to implement the tests for the current API behavior when the current specification is available. They may help explain why something changed or guide test updates over time, yet they are less directly relevant to writing the core automated checks compared with endpoint inputs, auth, and response structure. Therefore, among the options, past release notes/change logs are the least relevant for implementing automated tests on the API.
質問 # 22
A release candidate of a SUT, after being fully integrated with all other necessary systems, has successfully passed all required functional tests (90% were automated tests and 10% were manual tests). Now, it is necessary to perform reliability tests aimed at evaluating whether, under certain conditions, that release will be able to guarantee an MTBF (Mean Time Between Failures) in the production environment higher than a certain threshold (expressed in CPU time). Which of the following test environments is BEST suited to perform these reliability tests?
正解：A
解説：
Reliability testing (e.g., long-duration runs, endurance/soak, stability measurements, MTBF assessment) requires an environment that closely resembles production in terms of configuration, resource allocation, deployment topology, integrations, and operational characteristics. TAE guidance emphasizes that measurements like MTBF are highly sensitive to environmental differences such as CPU quotas, background load, database sizing, network topology, virtualization settings, and monitoring agents. A local development environment is unsuitable because it is not representative, is often unstable, and typically lacks full system integration. A build environment focuses on building/packaging and fast verification, not production-like reliability evaluation. An integration environment can validate that systems work together, but it is frequently shared, changes often, and may not match production sizing and operational constraints; it is also commonly disrupted by other teams' deployments. Preproduction (often called staging) is designed to be the closest safe approximation to production while still allowing controlled testing, including reliability and performance- related evaluations, without risking real users or live data. Therefore, preproduction is the best-suited environment to run reliability tests intended to predict production MTBF behavior with credible confidence.
質問 # 23
You work as a TAE for a software vendor that produces bespoke software. Your current project is developing a process control system where data from sensors on the factory floor and human input through a web-based front end undergoes processing on backend platforms. This results in control instructions that are sent to the production line via a message broker.
Your test environment contains all of these components, including the sensors which run in a test harness.
These sensors are third-party components that are still under development, so they are often upgraded. The message broker is also a new third-party component which is still receiving regular patches. This requires frequent re-installation of the TAS, which takes significant manual effort, and there have been several occasions where it was not built correctly due to missing components and had to be rebuilt.
Which action is MOST likely to solve this issue with the TAS?
正解：A
解説：
The principal problem is that frequent manual re-installations consume significant effort and occasionally produce incomplete TAS builds because required components are missing. Automating installation from a centrally managed repository directly addresses both repeatability and completeness. Test automation deployment should be reproducible, with components and their versions controlled so that the same TAS configuration can be reliably rebuilt following third-party upgrades. A central repository also provides a controlled location from which updated components can be packaged and deployed. Connectivity checks are valuable after installation but cannot prevent an incomplete installation. Documentation and configuration management help establish what should be installed, but automation is more effective at preventing repeated human installation errors. Pre-installation functional testing addresses interoperability, not the stated problem of missing components during frequent rebuilds. Therefore, option B provides the most direct mitigation.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
質問 # 24
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