ISTQB CT-TAE Practice Test Questions Answers

When planning the pilot for an in-house developed Test Automation Solution (TAS), it is crucial to prepare the involved personnel and ensure that the necessary resources are allocated. Running training workshops for new users (option c) is essential to familiarize them with the TAS and to promote effective usage. Additionally, developing a project plan and reserving the necessary budget and resources (option d) are fundamental steps to ensure that the pilot is well-structured and that its implementation is feasible. These steps help in laying a solid foundation for the pilot, which can lead to a successful deployment of the TAS.

References = The answer is derived from the ISTQB CT-TAE guidelines, which outline the importance of training and resource allocation in the planning process of a test automation solution123.

Observability in the context of a System Under Test (SUT) refers to the degree to which the internal states of the system can be inferred from knowledge of its external outputs. It is a measure of how well internal states of a system can be understood by examining its outputs. In test automation, observability is crucial because it allows testers to understand what is happening inside the SUT without having direct access to its internal workings. This characteristic is essential for identifying and diagnosing issues, understanding system behavior, and ensuring that the system is functioning correctly. High observability means that the system’s outputs, including its states and any intermediate results or error messages, are readily available for examination, which is vital for effective testing and debugging.

References = The ISTQB Test Automation Engineer syllabus and study materials emphasize the importance of observability as part of the testability of systems. It is highlighted as a key characteristic that enables testers to detect defects and understand system behavior through the outputs the system provides during test execution123.

In model-based testing, the test cases are derived from a model that represents the desired behavior of the System Under Test (SUT). This model serves as the basis for generating test cases, which means the test generation layer will be automated based on the defined model. However, all other layers of the Test Automation Architecture (TAA), such as the execution layer, test script layer, and the adaptation layer, are still utilized. The model informs the generation of test cases but does not eliminate the need for the other layers, as they play crucial roles in the execution and management of the tests. References = The ISTQB Test Automation Engineer syllabus discusses the influence of model-based testing on the layers of the TAA, emphasizing the automation of the test generation layer while retaining the other layers123.

In the context of automated test execution reports, the inclusion of defect clusters is not typically recommended. The primary focus of such reports is to provide a summary of the test execution results, details about the system or application under test along with its version, and the environment in which the tests were executed. Defect clusters, while important in the overall testing process, are generally managed separately from the execution report, often in defect management tools or systems designed for tracking and analyzing defects.

References = The answer is based on the ISTQB CT-TAE guidelines which specify the content that should be included in a test automation report. According to the guidelines, the report should include a summary of the execution results, the system being tested, and the environment in which the tests were run. Defect clusters are not mentioned as part of the report’s content and are therefore considered irrelevant to be included in the test execution report1.

In a keyword-driven framework, especially when dealing with a web application, having a large set of highly specific keywords can lead to redundancy and inefficiency. Implementing keywords with a higher level of granularity can help reduce the number of repeated instances of identical sequences of keywords, as identified by the static analysis tool. This approach promotes reusability and maintainability of test scripts, making the test automation suite more robust and easier to manage. It also aligns with the principles of modularity and abstraction, which are key in test automation engineering.

References = The ISTQB CT-TAE materials emphasize the importance of maintaining a manageable level of abstraction in keyword-driven frameworks to ensure that the automated tests are efficient, maintainable, and provide clear insights into the SUT’s behavior12.