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| Section | Objectives |
|---|---|
| Topic 1: Test Automation Architecture Design | - Maintainability and scalability design - Architecture patterns for automation solutions |
| Topic 2: Introduction to Test Automation Engineering | - Purpose and scope of test automation - Success factors for automation |
| Topic 3: Test Automation Development | - Test script design and coding standards - Framework implementation |
| Topic 4: Test Automation in the Software Lifecycle | - Automation strategy within development processes - CI/CD integration considerations |
| Topic 5: System Under Test (SUT) Analysis | - Testability and automation feasibility - SUT interfaces and dependencies |
| Topic 6: Deployment and Maintenance | - Maintenance and evolution of automation assets - Execution environments and tool integration |
| Topic 7: Test Automation Metrics and Risk Management | - Risk analysis for automation projects - Measurement and reporting of automation effectiveness |
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質問 # 54
Consider thefollowing example of TAS metrics.
Time to execute automated tests
Speed and efficiency of TAS components
Which of the following statements is TRUE?
正解：D
質問 # 55
Consider a TAS that is going to be deployed for the first time. The TAS requires share resources and run it its own test environment. The infrastructure for the TAS has been created along with maintenance procedures. It is very unlikely the TAS will be required to work in other target Environments. There is a high-risk that when the TAS is deployed in its own test environment, a number of existing application will no longer work because of conflicts with the existing shared resources.
Which of the following activities would you expect to be MOST effective at mitigating the risk associated with the first deployment of the TAS?
正解：D
質問 # 56
As a TAE you are evaluating a functional test automation tool that will be for several projects within your organization. The projects require that tool to work effectively and efficiently with SUT's in distributed environments. The test automated tool also needs to interface with other existing test tools (test management tool and defect tracking tool.) The existing test tools subject to planned updates and their interface to the test automated tool may not work property after these updates.
Which of the following are the two LEAST important concerns related to the evaluation of the test automation in this scenario?
* Is the test automation tool able to launch processors and execute test cases on multiple machines in different environments?
* Does the test automation tool support a licensing scheme thatallows accessing different sets?
* Does the test automation tool have a large featureset, but only part of the features will be sets?
* Do the release notes for the planned updates on existing specify the impacts on their interfaces to other tools?
Does the test automation tool need to install specific libraries that could impact the SUT?
正解：C
質問 # 57
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：B
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 # 58
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 # 59
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