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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test Automation Architecture | 15% | - Layered frameworks and separation of concerns - Generic Test Automation Architecture (gTAA) - Design principles and patterns for automation - Interoperability and integration concepts |
| Topic 2: Reporting and Metrics | 12% | - Collecting and analyzing data - Defining relevant automation metrics - Visualization and dashboards - Reporting to stakeholders |
| Topic 3: Introduction and Objectives for Test Automation | 5% | - Purpose, benefits and limitations of test automation - Test automation in software development lifecycle models - Roles and responsibilities of a Test Automation Engineer |
| Topic 4: Continuous Improvement | 19% | - Upgrading tools and frameworks - Refactoring and optimizing automation - Streamlining and maintaining test assets - Adapting to new technologies and requirements |
| Topic 5: Preparing for Test Automation | 14% | - Evaluating and selecting test tools - Assessing system testability and architecture - Identifying automation opportunities and constraints - Cost, effort and ROI analysis |
| Topic 6: Implementing Test Automation | 11% | - Handling synchronization, stability and reliability - Planning and running pilot projects - Managing technical debt - Developing and maintaining automation components |
| Topic 7: Verifying the Test Automation Solution | 12% | - Verifying automation code and infrastructure - Assessing quality and reliability of automation - Validating test suite correctness |
| Topic 8: Implementation and Deployment Strategies | 12% | - Test execution strategies and environment management - Configuration management and version control - Test data management approaches - Integration with CI/CD pipelines |
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NEW QUESTION # 32
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: C
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 # 33
Your company is about to start a project to replace an old sales and merchandising system with a new version that will be based on modern platforms. The main requirements for the system are:
1. Loading sales data, sent electronically from the stores each evening, into a central database.
2. Producing sales reports for the merchandisers, whose job is to manage stock levels in stores.
3. Producing forecast reports, used to predict future demand for each product, based on a combination of sales history and forecasting parameters. The parameters will be entered by the merchandisers into a browser-based front end and the reports will be produced overnight. The users will be able to retrieve the reports, on screen or in print, via an interactive feature.
Requirements 1 and 2 were already met by the old system and will be rewritten in the new system with some minor functional changes. The sales data will, as before, be loaded in an overnight batch run. There have been problems with the old system at peak periods when this run has taken longer than scheduled, so that dependent jobs could not finish before the start of the next working day. The Data Centre manager requires that the new system's overnight batch runs take 10% less time than the old one, including the new reports, to allow time for all jobs to complete.
Requirement 3 is new. The functionality provided by the UI will be simple and the Sales & Merchandising manager requires that it be easy to use.
The data for testing the reports will be extracted from the old system in production and will be anonymized before use.
The system will be developed using an Agile lifecycle with iterations of fixed length. This will be the first full deployment of this methodology, which has just completed a successful pilot. It is a relatively simple development and is expected to be completed in three releases, each taking approximately 2 months.
You are an experienced TAE and have been recruited to implement test automation on this project and have started to evaluate candidate tools to automate functional and some non-functional testing. It is already clear that no single tool will meet all requirements, and that the developers' existing Integrated Development Environment will meet the automation needs of their testing. The TAS will need to support CI/CD.
When reviewing your tool comparison table, what two tool capabilities will be MOST beneficial for this project?
i) The ability to support multiple and configurable test environments.
ii) The ability to manage test data in a way that supports version control of the data sets.
iii) The ability to be compatible with other tools that are likely to be used on the project.
iv) The ability to expand the overall test architecture and to be scalable and modifiable.
v) The ability for non-technical users to enter requests for customizable reports.
Answer: A
Explanation:
The scenario explicitly states that no single tool will satisfy all automation requirements and that the TAS must support CI/CD. Consequently, interoperability with other project tools is especially important. The syllabus identifies integration with CI/CD, test management, reporting, task-tracking, and other tools as a major tool-evaluation criterion. The project is also replacing a legacy system with modern platforms and will evolve across several Agile releases, making scalability and modifiability of the overall test architecture highly valuable. ISTQB specifically identifies the ability to expand the architecture and assess scalability, maintainability, modifiability, compatibility, and reliability when comparing automation tools. Although configurable environments and test-data management are valid considerations, the scenario's strongest distinguishing requirements are multi-tool integration and an architecture capable of evolving with the project.
Therefore, iii and iv are correct.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 34
Which statement about static analysis is TRUE?
Answer: D
Explanation:
Static analysis can improve both SUT and test automation code quality without executing the code. CTAL- TAE explains that static analysis tools can detect defects and vulnerabilities, measure quality, identify problematic code structures, suggest possible corrections, and indicate areas where additional code comments would improve understandability. This directly supports option B. Static analysis does not eliminate the need for manual code reviews because automated analysis has limitations and may produce false positives or fail to identify context-dependent defects. It is also applicable to both SUT and TAF code; automation code can itself contain security and quality problems and therefore requires similar engineering discipline. Finally, no static analysis tool can guarantee detection of every possible security vulnerability. Such tools detect classes of known or recognizable problems rather than proving that code is completely secure.
(https://istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 35
A TAS is used to run on a test environment a suite of automated regression tests, written at the UI level, on different releases of a web app: all executions complete successfully, always providing correct results (i.e., producing neither false positives nor false negatives). The tests, all independent of each other, consist of executable test scripts based on the flow model pattern which has been implemented in a three-layer TAF (test scripts, business logic, core libraries) by expanding the page object model via the facade pattern. Currently the suite takes too long to run, and the test scripts are considered too long in terms of LOC (Lines of Code).
Which of the following recommendations would you provide for improving the TAS (assuming it is possible to perform all of them)?
Answer: B
Explanation:
The primary problem is execution time; correctness and independence are already strong. TAE recommends improving feedback time for long-running regression suites by parallelizing execution when tests are independent and the infrastructure supports it. Because the tests are explicitly independent, they are well- suited to parallel execution across multiple environments (or multiple nodes within an environment), reducing overall wall-clock duration without changing test intent. Option B addresses crash recovery, but the scenario says executions complete successfully; crash recovery does not solve the current bottleneck. Option A changes the modeling pattern; it may or may not reduce LOC, but it introduces risk and rework without directly addressing runtime. Also, flow model and facade-expanded page objects are already architectural choices aimed at maintainability and reuse; replacing them is not the most direct solution for speed. Option D (improving SUT testability) can help in general, but it is invasive, expensive, and not targeted to the stated issue when tests already yield correct results. Therefore, the best improvement is to split the suite and run parts concurrently on different environments to reduce total execution time, consistent with TAE guidance on scaling automation execution.
NEW QUESTION # 36
The last few runs for a suite of automated keyword-driven tests on a SUT were never completed. The test where the run was aborted was not the same between runs. Currently, it is not possible to identify the root cause of these aborts, but only determine that test execution aborted when exceptions (e.g., NullPointerException, OutOfMemoryError) occurred on the SUT by analyzing its log files. Test execution log files are currently generated, in HTML format, by the TAS as follows: all expected logging data is logged for each keyword in intermediate log files. This data is then inserted into the final log file only for keywords that fail, while only a configurable subset of that data is logged for keywords that execute successfully. Which of the following actions (assuming it is possible to perform all of them) would you take FIRST to help find the root cause of the aborts?
Answer: B
Explanation:
TAE stresses that when diagnosing intermittent aborts with unclear root cause, the first priority is ensuring sufficient, consistent observability from the automation side to reconstruct what happened immediately before termination. In this scenario, the suite aborts in different tests across runs, and the final HTML report currently contains full detail only for failing keywords, while successful keywords have reduced logging. If the run aborts due to an exception in the SUT, the "last executed successful keywords" and their full context may be essential to correlate actions with the SUT failure point. The fastest, most direct improvement is to include complete keyword-level logging for successful steps as well, at least until the issue is understood.
This aligns with TAE guidance to temporarily increase logging verbosity during investigation to capture the sequence of actions, inputs, timings, and states leading up to failure. Option A could be helpful, but it changes SUT-side logging and may require additional access or instrumentation; also, it does not guarantee visibility into the exact automation step sequence. Options B and D improve presentation/performance of logs but do not add diagnostic content. Therefore, first increase the completeness of the final execution logs for all keywords to maximize evidence for root cause analysis.
NEW QUESTION # 37
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