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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction and Objectives for Test Automation | 5% | - Risks and Benefits of Test Automation - Purpose of Test Automation - Success Factors for Test Automation |
| Topic 2: Test Automation Validation | 15% | - Test Automation Verification - Test Automation Assessment Metrics - Root Cause Analysis |
| Topic 3: Test Automation Strategy and Roadmap | 15% | - Test Automation Maintenance - Test Automation Planning - Test Automation Integration with CI/CD - Test Automation Governance |
| Topic 4: Transitioning from Manual to Automated Testing | 15% | - Maintaining Automation Consistency - Automation Migration Strategies - Criteria for Manual vs. Automated Testing |
| Topic 5: Execution and Implementation of Test Automation | 35% | - Developing Test Automation Solutions - Verifying Test Automation Solutions - Building Robust Automated Test Suites - Logging and Reporting Strategies - Designing Test Automation Solutions - Implementing Test Automation Solutions |
| Topic 6: Preparation for Test Automation | 15% | - SUT Analysis for Test Automation - Test Automation Architecture Design - Rollout and Deployment Considerations - Test Automation Tool Evaluation and Selection - Design for Testability and Automation |
>> Valid CTAL-TAE_V2 Exam Format <<
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NEW QUESTION # 65
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: A
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 # 66
What is considered to be an ADVANTAGE of test automation?
Answer: B
Explanation:
One explicit advantage listed in CTAL-TAE is the ability to create and execute tests that cannot practically be performed manually. Examples include real-time response testing, remote testing, and parallel execution. This directly supports option D. Automation is not automatically cheaper or faster to develop and maintain than manual testing; substantial initial implementation and ongoing maintenance costs may be required.
Automated tests also do not inherently discover more defects, because defect detection depends on test design, coverage, risk focus, and suitable oracles rather than simply whether execution is automated.
Likewise, automated tests may actually require significant maintenance when the SUT changes, particularly when automation is tightly coupled to unstable interfaces. The genuine advantage is that automation enables repeatable, high-volume, time-sensitive, concurrent, or technically impractical test execution beyond what human manual execution can reasonably achieve.
(https://istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 67
An automated test script makes a well-formed request to a REST API in the backend of a web app to add a single item for a product (with ID = 710) to the cart and expects a response confirming that the product is successfully added. The status line of the API response is HTTP/1.1 200 OK, while the response body indicates that the product is out of stock. The API response is correct, the test script fails but completes, and the message to log is: The product with ID = 710 is out of stock. Cart not updated. When this occurs, you are already aware that both the failed test and the API are behaving correctly and that the problem is in the test data. The TAS supports the following test logging levels: FATAL, ERROR, WARN, INFO, DEBUG. Which of the following is the MOST appropriate test logging level to use to log the specified message?
Answer: A
Explanation:
TAE logging guidance focuses on making logs actionable while reflecting severity and intent. Here, the test failed due to an expected, non-system fault condition: the product is out of stock, which is a valid business- state response and confirms the API behaved correctly. The issue is that the test data (product availability) did not satisfy the test's precondition. This is not a fatal condition (FATAL) because execution continues and the overall system is not unusable. It is not best treated as ERROR either (not offered as an option here) because an error-level message usually indicates a defect, malfunction, or unexpected failure needing immediate engineering attention. INFO would be too low because it may be lost among normal run messages and does not adequately flag that the test outcome is affected by a precondition violation requiring action (e.g., reseeding data, choosing a different product ID). DEBUG is typically reserved for highly detailed diagnostic traces intended for deeper troubleshooting, not for highlighting a test-data problem affecting test validity.
WARN is intended for abnormal or noteworthy conditions that do not indicate a product defect but may require attention to maintain test reliability. Therefore, WARN is the most appropriate level.
NEW QUESTION # 68
A CI/CD pipeline consists of two phases: build and deployment. The build phase, among other activities, runs automated test cases at the following test levels: Component Testing (CT) and Component Integration Testing (CIT). If the build phase is successful, the deployment phase is started. The deployment phase first provisions the test environment infrastructure needed to deploy the SUT, then deploys the SUT to this environment, and finally triggers another separate pipeline that runs automated test cases at the following test levels: System Testing (ST) and Acceptance Testing (AT). Which of the following statements is TRUE?
Answer: D
Explanation:
TAE describes quality gates as defined checkpoints in pipelines where objective criteria determine whether the pipeline may proceed (e.g., thresholds, pass/fail rules, coverage, or risk-based acceptance). Automated tests at multiple levels can serve as such gates. In the build phase, CT and CIT are commonly used as strong, fast quality gates because they provide quick feedback on code correctness and integration of closely related components; failures typically block promotion. In the deployment phase, after provisioning and deploying into a test environment, automated System Testing and Acceptance Testing can also serve as quality gates for promoting a build to later stages or release candidates, especially when the organization relies on automated regression and automated acceptance criteria for release decisions. While ST/AT may take longer and may be more prone to environmental factors, TAE still supports using them as gates when they are sufficiently stable, relevant, and aligned with release risk. The scenario explicitly places ST/AT in a separate triggered pipeline, which still qualifies as a gating mechanism if downstream promotion depends on its outcome. Therefore, both CT-CIT and ST-AT can act as quality gates.
NEW QUESTION # 69
Which items should be included in a report that is produced after execution of a test suite?
Answer: B
Explanation:
After execution of a test suite, CTAL-TAE requires a concise test progress report to be generated and published. The syllabus states that this report must include the test results, information about the SUT, and documentation of the test environment in which the tests were executed. Test results indicate what passed or failed and provide the basic evidence needed to evaluate test progress, while environment details provide essential context for reproducing and interpreting those results. The report is distributed to relevant stakeholders, but a list of operational stakeholders is not itself a mandatory content pair. Root causes may not yet be known when the report is generated because failures may require subsequent investigation. TAS configuration information can be useful technically, but it does not replace the required test results. Therefore, option D contains two explicitly required report elements.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 70
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