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| Section | Objectives |
|---|---|
| Introduction to Test Automation Engineering | - Test automation within the software lifecycle - Goals and value of test automation - Success factors for test automation |
| Test Automation Solution Development | - Test data management - Implementation of automated test solutions - Handling test environments |
| Test Automation Architecture | - Maintainability and scalability considerations - Design principles for automation architecture - Test automation frameworks |
| Transition and Deployment | - Scaling test automation adoption - Introducing automation into organizations |
| Integration and Deployment (CI/CD) | - Execution strategies in continuous testing - Integration into CI/CD pipelines - Toolchain integration |
| Preparing for Test Automation | - Risk analysis for automation scope - Selecting test cases for automation - Feasibility assessment for automation |
| Test Automation Maintenance and Evolution | - Handling application changes - Refactoring automation solutions - Maintaining automated test assets |
| Test Automation Reporting and Metrics | - Key metrics for test automation effectiveness - Automation reporting approaches |
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질문 # 79
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?
정답：C
설명：
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.
질문 # 80
When choosing an automation tool, which would be the BEST option for automation testers who have programming skills?
정답：A
설명：
The syllabus states that a test automation approach and architecture should account for the roles and skill sets that must be supported. During tool evaluation, the language and technology of the automation tool and its IDE are explicit assessment criteria. For testers who already possess programming skills, selecting a tool whose language aligns with the SUT technology can leverage existing technical expertise, simplify integration, and reduce the learning and maintenance burden. A COTS tool is not automatically superior merely because it is commercial, and open-source tools should not be rejected solely because of their licensing model. Low-code or no-code tools can be useful where programming expertise is limited, but they do not exploit the stated strength of this team. Therefore, option A is the best contextual choice.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
질문 # 81
(Which of the following aspects of "design for testability" is MOST directly associated with the need to define precisely which interfaces are available in the SUT for test automation at different test levels?)
정답：A
설명：
In TAE, "design for testability" includes attributes that make it easier to create, execute, and maintain automated tests across levels (component, integration, system, UI). The need to define precisely which interfaces are available at different test levels-e.g., public APIs, service endpoints, message queues, UI automation hooks, test seams, logs, and internal test interfaces-maps most directly to architecture transparency. Architecture transparency concerns how clearly the system's structure, layers, and accessible interfaces are documented and exposed so test automation can reliably connect to the right interaction points.
This includes understanding which interfaces are stable, supported, and appropriate for each level of testing, and avoiding "guesswork" that increases brittleness. Controllability is about the ability to set inputs, states, and preconditions (e.g., reset data, seed databases, drive system state). Observability is about the ability to see outputs, internal states, and logs to assess outcomes. Autonomy concerns whether tests can run independently without external dependencies or manual intervention (e.g., isolated environments, stable test data). While controllability/observability/autonomy are critical for automation, the specific emphasis on "precisely defining which interfaces are available" is fundamentally an architectural transparency issue: clear interface availability and documentation enable correct, maintainable automation connections across test levels.
질문 # 82
A TAS that performs automated testing in a single test environment was successfully manually installed and configured from a central repository, with all its components in the correct versions. It was also verified that all TAS components in this environment are capable of providing reliable and repeatable performance. The TAS will be used to run several suites of automated regression test scripts on various SUTs in the test environment. Your current goal is to complete all preliminary verifications to ensure that the TAS works correctly. Which of the following activities would you perform FIRST?
정답：C
설명：
TAE differentiates verifying the automation environment and infrastructure (the ability of the TAS to operate) from verifying the test suites' correctness (the behavior of specific automated tests). The scenario states the TAS was installed correctly and its components perform reliably in isolation. The next preliminary verification is ensuring the TAS can actually interact with the necessary systems and interfaces required to execute tests end-to-end: SUT endpoints, browsers/devices, authentication services, databases, messaging systems, third-party integrations, and any CI/CD or artifact services it must access. If connectivity is missing or unstable, any subsequent suite executions or repeatability checks can fail for reasons unrelated to test logic, creating noise and wasted investigation. Creating installation scripts (A) is valuable for scalability, but it is not needed to confirm the TAS works in the already-installed single environment. Checking expected results in scripts (D) and running suites repeatedly for determinism (C) are important, but they assume the TAS can reliably reach all required dependencies. TAE recommends validating connectivity and access prerequisites early as a gate for meaningful execution. Therefore, the first activity is to verify TAS connectivity to all required internal/external systems and interfaces.
질문 # 83
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?
정답：D
설명：
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.
질문 # 84
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