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| Section | Weight | Objectives |
|---|---|---|
| Preparing for Test Automation | 14% | - Evaluating and selecting test tools - Cost, effort and ROI analysis - Identifying automation opportunities and constraints - Assessing system testability and architecture |
| Test Automation Architecture | 15% | - Interoperability and integration concepts - Layered frameworks and separation of concerns - Design principles and patterns for automation - Generic Test Automation Architecture (gTAA) |
| Implementing Test Automation | 11% | - Managing technical debt - Planning and running pilot projects - Handling synchronization, stability and reliability - Developing and maintaining automation components |
| Introduction and Objectives for Test Automation | 5% | - Roles and responsibilities of a Test Automation Engineer - Purpose, benefits and limitations of test automation - Test automation in software development lifecycle models |
| Implementation and Deployment Strategies | 12% | - Test data management approaches - Test execution strategies and environment management - Configuration management and version control - Integration with CI/CD pipelines |
| Continuous Improvement | 19% | - Streamlining and maintaining test assets - Adapting to new technologies and requirements - Upgrading tools and frameworks - Refactoring and optimizing automation |
| Reporting and Metrics | 12% | - Defining relevant automation metrics - Visualization and dashboards - Reporting to stakeholders - Collecting and analyzing data |
| Verifying the Test Automation Solution | 12% | - Assessing quality and reliability of automation - Verifying automation code and infrastructure - Validating test suite correctness |
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NEW QUESTION # 24
Your TAS is being used for automated functional suitability testing of a stock management system. Several tests have crashed. Despite the fact that the SUT creates detailed logs of all its activity, it has been difficult to determine the reason(s) for these crashes from the TAS and SUT test logs.
What actions are MOST likely to help with debugging?
a) Ensure that the TAS logs a count of how many times each test case is run.
b) Ensure that the SUT logs all available configuration data when it starts up.
c) Ensure that the SUT logs all available crash dumps and stack traces in the event of failure.
d) Ensure that the SUT logs all values of randomly generated test input data.
e) Ensure exact time synchronization of all test logs before any tests are run.
Answer: C
Explanation:
Configuration information and crash diagnostics are the most relevant additions for investigating unexplained crashes. CTAL-TAE recommends recording configuration information when the SUT starts, including software or firmware versions, SUT configuration, and operating-system configuration. This enables investigators to determine whether a particular environment or configuration contributed to the failure. The syllabus also emphasizes preserving crash dumps and stack traces whenever failures occur because these provide direct technical evidence about the point and cause of a crash. Execution counters are particularly useful during reliability or stress testing involving repeated cycles, which is not stated here. Random input values should be logged when randomized tests are being used, but the scenario does not indicate random test generation. Therefore, actions b and c most directly improve diagnosis of the described crashes.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 25
In a first possible implementation, the automated test scripts within a suite locate and interact with elements of a web UI indirectly through the browsers using browser-specific drivers and APIs, provided by an automated test tool used as part of the TAS. In an alternative implementation, these test scripts locate and interact with elements of the same web UI directly at the HTML level by accessing the DOM (Document Object Model) and internal JavaScript code. The first possible implementation:
Answer: B
Explanation:
TAE describes "intrusiveness" as the degree to which automation reaches into internal implementation details of the SUT rather than interacting through externally visible, user-realistic interfaces. Using browser drivers and browser automation APIs exercises the UI similarly to a real user (via the browser's supported automation hooks), which is generally less intrusive than directly manipulating the DOM and internal JavaScript. Direct DOM/JS access can bypass real user interaction pathways, skip browser event chains, and depend on internal structures that are not part of the stable external contract. This increases the risk of false positives: tests may
"pass" by forcing UI states or reading internal values even when the application would not behave correctly for real users. Less intrusive automation (through browser-level drivers) tends to provide higher confidence that observed behavior reflects real user experience, reducing the chance that tests succeed while user-visible behavior is broken. TAE therefore associates lower intrusion with stronger validity of results and lower false- positive risk, especially for system/UI-level validation. While browser-driven automation can still be flaky for other reasons (timing, environment), in the specific comparison of interaction method, browser-driver-based execution is the less intrusive option and is less likely to create false positives than direct internal DOM/JS manipulation.
NEW QUESTION # 26
Consider choosing an approach for the automated implementation of manual regression test suites written at the UI level for some already developed web apps. The TAS is based on a programming language that allows the creation of test libraries and provides a capture/playback feature that allows recognition and interaction with all widgets in the web UIs being tested. The automated tests will be implemented by team members with strong programming skills. The chosen approach should aim to reduce both the effort required to maintain automated tests and the effort required to add new automated tests. Which of the following approaches would you choose?
Answer: D
Explanation:
TAE guidance links maintainability and scalability to reducing duplication and encapsulating common actions behind reusable abstractions. For UI regression suites on existing web apps, capture/playback and linear scripting often produce brittle, duplicated sequences tightly coupled to UI details. They may be quick initially, but maintenance cost grows rapidly when locators, flows, or timing change. With a programming language that supports libraries-and a team with strong programming skills-TAE recommends structured scripting (often including modularization, reuse through functions/classes, and design patterns such as Page Object or similar abstractions). Structured scripting reduces maintenance by centralizing UI interaction logic (e.g., element locators and common workflows) so changes are made in one place. It also reduces effort to add new tests because test authors can compose new scenarios from existing reusable building blocks rather than duplicating low-level steps. TDD is a development practice and is not the primary approach for converting existing manual UI regression suites into automation; it does not directly describe how the UI tests should be structured. Capture/playback remains useful as a helper (e.g., for quickly discovering locators) but is not the best overall approach for long-term maintainability. Therefore, structured scripting best matches the stated goals.
NEW QUESTION # 27
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?
Answer: A
Explanation:
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.
NEW QUESTION # 28
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: C
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 # 29
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