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| Section | Weight | Objectives |
|---|---|---|
| Test Automation Validation | 15% | - Root Cause Analysis - Test Automation Assessment Metrics - Test Automation Verification |
| Transitioning from Manual to Automated Testing | 15% | - Criteria for Manual vs. Automated Testing - Maintaining Automation Consistency - Automation Migration Strategies |
| Introduction and Objectives for Test Automation | 5% | - Risks and Benefits of Test Automation - Success Factors for Test Automation - Purpose of Test Automation |
| Preparation for Test Automation | 15% | - Test Automation Tool Evaluation and Selection - SUT Analysis for Test Automation - Design for Testability and Automation - Test Automation Architecture Design - Rollout and Deployment Considerations |
| Test Automation Strategy and Roadmap | 15% | - Test Automation Planning - Test Automation Governance - Test Automation Integration with CI/CD - Test Automation Maintenance |
| Execution and Implementation of Test Automation | 35% | - Designing Test Automation Solutions - Implementing Test Automation Solutions - Developing Test Automation Solutions - Logging and Reporting Strategies - Verifying Test Automation Solutions - Building Robust Automated Test Suites |
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NEW QUESTION # 28
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 # 29
Which one of the following answers does NOT refer to an example of configuration item(s) that should be specified in development pipelines to identify a test environment (and its specific test data) associated with a web app under test on which to execute automated tests?
Answer: A
Explanation:
In TAE guidance, pipeline configuration items used to identify a specific test environment (and its associated test data) are those that uniquely define where the SUT is running and how automation connects to the deployed system and its dependent services and data stores. That typically includes the base URL of the deployed web application, endpoints/URLs for backend services used in that environment, and connection details to environment-specific databases (or references to secrets/credentials that enable those connections).
These items allow the same automated tests to be executed against different environments by switching configuration rather than changing test code. By contrast, "the number and type of automated tests to execute" is a test selection/execution configuration decision (what to run), not an environment identification configuration (where to run). You can run different subsets of tests in the same environment without changing the environment identity. TAE distinguishes environment configuration (addresses, endpoints, credentials, data sources) from orchestration configuration (suite selection, tags, parallelism). Therefore, option A does not describe a configuration item that identifies the test environment and its specific test data.
NEW QUESTION # 30
You are working as a TAE for a large insurance company that offers a wide range of products, including home, health, and motor insurance. Your next project will be a major change to the existing system for processing policy claims. The project's objective is to provide more flexibility in the process for claim authorization, according to the type of policy and nature of the claim, so that simple claims can be processed faster. It will follow a hybrid methodology with development and testing completed in 3-week iterations.
The most important functional and non-functional tests for the existing system have been automated. The older tests feature structured scripting, but the more recent ones have benefited from data-driven testing.
Which automation approach for the system-level tests would be MOST suitable for this project?
Answer: B
Explanation:
Keyword-driven testing is the strongest progression for this scenario. The syllabus explains that keyword- driven testing builds on data-driven testing and expresses test cases as lists or tables of keywords together with their associated data. Crucially, keywords are defined from the user's perspective, allowing test analysts and business analysts to participate more directly in creating automated tests. This is valuable for an insurance claims system containing numerous business workflows, authorization rules, product variations, and frequent iterative changes. Structured scripting provides reusable libraries but retains greater technical dependence, while data-driven testing primarily improves reuse by executing the same scripts with multiple datasets. TDD is principally a development methodology oriented toward implementing functionality from tests. Therefore, keyword-driven testing provides the most suitable higher-level abstraction for evolving system-level business scenarios.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 31
You have been recruited as a TAE by a large travel agency and are now responsible for a mature TAS that is dedicated to functional testing of the company's booking system, which covers flights, hotels, and packaged holidays. This application contains a complex UI and a lot of functionality. It is undergoing constant maintenance and enhancement by an Agile team that adds tests to the regression test suite at the end of every iteration.
The TAS supports structured scripting and this has been implemented to a high standard, with a well-managed script library and minimal code duplication. The TAA will not support any more advanced scripting techniques. The test automation that has been achieved so far was well received at first but is now the target of increasing criticism. It is perceived as being old-fashioned, poorly documented and, in particular:
1. The test script maintenance overhead is becoming excessive because the test analysts frequently want data values to be changed.
2. Test analysts are complaining that a new test which is similar to an existing one, except for data values, requires a new high-level script, and that they must ask a technical test analyst to do this for them.
3. The nightly full regression run is taking a long time and there is a risk that, as more tests are added, it will soon take too long to run in the available window.
4. Some tests break frequently because of a slow response from the SUT.
5. Some transactions are difficult to verify because they rely on variables that cannot be seen through the UI of the SUT.
6. The UI of the TAF is difficult to learn.
Your new manager wants quick improvements to address items 1, 2 and 3. She has accepted that the TAA may need to be enhanced to support the improvements.
Which TWO improvements will BEST fit this scenario?
a) Transition the automation to data-driven testing
b) Transition the automation to keyword-driven testing
c) Adopt a set of standard verification methods
d) Review the test automation scripts for functional duplication
e) Implement hard-coded waits in scripts that have been affected by slow SUT response
Answer: B
Explanation:
Data-driven testing directly addresses items 1 and 2 because it separates test data from test logic and allows the same automated script to execute repeatedly with different datasets. Test analysts can maintain external data files themselves, reducing dependence on technical test analysts and avoiding creation of duplicate high- level scripts merely because input values differ. For item 3, CTAL-TAE recommends examining test-script, test-case, and test-step overlap when continuously improving a TAS. Redundant or overlapping automated tests can be consolidated, reducing unnecessary regression execution and maintenance. Keyword-driven testing would require greater implementation effort and is not necessary merely to solve data variation.
Standard verification methods do not directly reduce duplicated execution, while hard-coded waits are discouraged because they are brittle and can unnecessarily increase execution duration. Thus, a and d provide the most targeted improvements.
(https://istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 32
Automated tests run by a TAS on a SUT can be subject to sudden bursts of messages to log during their execution. All log messages that occur during execution must be permanently stored in the corresponding test execution logs by the TAS for later analysis. If logging is not performed correctly, these bursts can reduce the execution speed of these automated tests, causing them to produce unreliable results. Which of the following solutions would you expect to be MOST useful to address this issue for TAS logging?
Answer: B
Explanation:
TAE highlights that logging must balance diagnostic value with execution performance and reliability. Direct synchronous file I/O for every log message can become a bottleneck during bursts, increasing latency and perturbing the timing of the automated interactions-especially for UI or time-sensitive integration tests- leading to flaky outcomes. Since all messages must be permanently stored, dropping burst logs (option C) violates the requirement. NTP synchronization (option A) helps correlate events across systems, but it does not address the performance overhead caused by bursty logging. The most useful approach is to buffer log events in memory and flush them periodically or asynchronously to disk. A circular buffer (or similar in- memory queue) reduces immediate I/O pressure and smooths bursts, while still preserving messages for later analysis when combined with an appropriate flush strategy and sizing. This design is aligned with TAE's emphasis on making the TAS itself reliable and non-intrusive, ensuring logging supports triage without materially slowing or destabilizing test execution. Therefore, buffering in memory and periodically flushing to log files is the best solution.
NEW QUESTION # 33
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