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| Section | Objectives |
|---|---|
| Introduction to Test Automation Engineering | - Purpose and scope of test automation - Success factors for automation |
| Test Automation Architecture Design | - Architecture patterns for automation solutions - Maintainability and scalability design |
| System Under Test (SUT) Analysis | - SUT interfaces and dependencies - Testability and automation feasibility |
| Test Automation Development | - Framework implementation - Test script design and coding standards |
| Test Automation Metrics and Risk Management | - Measurement and reporting of automation effectiveness - Risk analysis for automation projects |
| Deployment and Maintenance | - Maintenance and evolution of automation assets - Execution environments and tool integration |
| Test Automation in the Software Lifecycle | - Automation strategy within development processes - CI/CD integration considerations |
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NEW QUESTION # 48
Which of the following is NOT a technical design consideration for a TAA?
Answer: A
NEW QUESTION # 49
(Which of the following statements refers to a typical advantage of test automation?)
Answer: B
Explanation:
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.
NEW QUESTION # 50
You are using a gTAA to create a TAS for a project. The TAS is aimed specifically at automating a suit of existing manual test cases for standalone desktop applications. All the interfaces between the TAS and SUT will be from the CUI of the application.
Which of the following layers of the gTAA should you focus on for the TAS?
Answer: B
NEW QUESTION # 51
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?
Answer: B
Explanation:
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.
NEW QUESTION # 52
A SUT has an existing automated test suite.
Which of the following statements relating to the introduction of new features in the SUT is TRUE?
Answer: C
NEW QUESTION # 53
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