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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test Automation Strategy and Roadmap | 15% | - Test Automation Governance - Test Automation Planning - Test Automation Maintenance - Test Automation Integration with CI/CD |
| Topic 2: Test Automation Validation | 15% | - Root Cause Analysis - Test Automation Verification - Test Automation Assessment Metrics |
| Topic 3: Transitioning from Manual to Automated Testing | 15% | - Criteria for Manual vs. Automated Testing - Maintaining Automation Consistency - Automation Migration Strategies |
| Topic 4: Execution and Implementation of Test Automation | 35% | - Developing Test Automation Solutions - Verifying Test Automation Solutions - Implementing Test Automation Solutions - Logging and Reporting Strategies - Designing Test Automation Solutions - Building Robust Automated Test Suites |
| Topic 5: Preparation for Test Automation | 15% | - Test Automation Architecture Design - SUT Analysis for Test Automation - Test Automation Tool Evaluation and Selection - Design for Testability and Automation - Rollout and Deployment Considerations |
| Topic 6: Introduction and Objectives for Test Automation | 5% | - Success Factors for Test Automation - Risks and Benefits of Test Automation - Purpose of Test Automation |
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NEW QUESTION # 78
A release candidate of a SUT, after being fully integrated with all other necessary systems, has successfully passed all required functional tests (90% were automated tests and 10% were manual tests). Now, it is necessary to perform reliability tests aimed at evaluating whether, under certain conditions, that release will be able to guarantee an MTBF (Mean Time Between Failures) in the production environment higher than a certain threshold (expressed in CPU time). Which of the following test environments is BEST suited to perform these reliability tests?
Answer: A
Explanation:
Reliability testing (e.g., long-duration runs, endurance/soak, stability measurements, MTBF assessment) requires an environment that closely resembles production in terms of configuration, resource allocation, deployment topology, integrations, and operational characteristics. TAE guidance emphasizes that measurements like MTBF are highly sensitive to environmental differences such as CPU quotas, background load, database sizing, network topology, virtualization settings, and monitoring agents. A local development environment is unsuitable because it is not representative, is often unstable, and typically lacks full system integration. A build environment focuses on building/packaging and fast verification, not production-like reliability evaluation. An integration environment can validate that systems work together, but it is frequently shared, changes often, and may not match production sizing and operational constraints; it is also commonly disrupted by other teams' deployments. Preproduction (often called staging) is designed to be the closest safe approximation to production while still allowing controlled testing, including reliability and performance- related evaluations, without risking real users or live data. Therefore, preproduction is the best-suited environment to run reliability tests intended to predict production MTBF behavior with credible confidence.
NEW QUESTION # 79
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: C
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 # 80
You work for a company that produces a credit-checking software package. This product comes in three variants, each of which is tailored to meet the rules and attitudes of lending and borrowing money for a particular group of countries. Each variant has two different versions at any one time: the current live release and the next release, which is under development. Each variant has its own test environment; these environments are built on different platforms to reflect the diversity of real customer platforms.
A single TAS meets the automation needs of all three variants, with configurable features that allow for the platform differences. The SUT's test requirements are expanding rapidly and the TAS often needs enhancement to support this. The SUT's platforms are also changeable, due to updates from their vendors or a desire to sample different ones.
After any change, the TAS is re-installed from a central repository with automated scripts that implement the configuration parameters for the target environment. Following this, it has often been impossible to run tests properly or even at all and the installation has had to be repeated after the cause has been found. Which of the following actions is MOST likely to solve this issue?
Answer: C
Explanation:
The key problem occurs after the TAS has been installed into changing target environments. The syllabus specifically recommends administering checks and preconditions after installation and before using the SUT to ensure connectivity with internal systems, external systems, and interfaces. Examples include verifying that automation tools can access the SUT, checking configuration settings, validating permissions, and confirming required interfaces. These checks establish that the TAS has actually been installed and configured correctly in the particular environment. The scenario already uses automated installation from a central repository, so option B adds little. Configuration management and documentation are valuable for reproducibility, but they do not directly detect environment-specific connectivity or interoperability failures immediately after deployment. Testing components before installation likewise cannot fully validate their behavior in the actual target platform. Therefore, post-installation connectivity checks are the most direct solution.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 81
In which way would a feature toggle configuration be used?
Answer: C
Explanation:
A feature toggle configuration can be defined for each SUT release or test environment to indicate which features are active. The automated testware can associate specific test cases and test suites with those features and then use the toggle configuration to determine which suites should execute for the applicable release or environment. This prevents automated tests for inactive functionality from being executed unnecessarily or producing misleading failures. Feature toggles therefore support test-selection and release-configuration management. They do not primarily determine which data sets are needed, define the test environment itself, or choose the test oracle used for verification. The CTAL-TAE syllabus explicitly identifies selection of the appropriate test suites as the test automation use of feature toggle configurations.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 82
Automated tests at the UI level for a web app adopt an asynchronous waiting mechanism that allows them to synchronize test steps with the app, so that they are executed correctly and at the right time, only when the app is ready and has processed the previous step: this is done when there are no timeouts or pending asynchronous requests. In this way, the tests automatically synchronize with the app's web pages. The same initialization tasks to set test preconditions are implemented as test steps for all tests. Regarding the pre- processing (Setup) features defined at the test suite level, the TAS provides both a Suite Setup (which runs exactly once when the suite starts) and a Test Setup (which runs at the start of each test case in the suite).
Which of the following recommendations would you provide for improving the TAS (assuming it is possible to perform all of them)?
Answer: B
Explanation:
TAE strongly discourages replacing robust, app-aware synchronization with manual waits. Automatic synchronization based on application readiness signals (e.g., no pending async requests) reduces flakiness and unnecessary delays. Hard-coded waits (A) are brittle and slow; polling waits (C) can be better than fixed sleeps but are still generally inferior to event/readiness-based synchronization already in place. The improvement opportunity described is that the same initialization steps are repeated in every test as explicit test steps, which increases test script length, duplication, and maintenance effort. TAE recommends centralizing common setup logic using framework setup/teardown mechanisms to enforce consistency and reduce duplication. Since the initialization tasks are needed to set preconditions for each test (so each test starts from a known state and remains independent), they belong in the Test Setup, which runs before each test case. Putting them in Suite Setup (D) would run them only once, risking that later tests inherit polluted state, making tests interdependent and more brittle. Therefore, moving shared per-test initialization tasks into the Test Setup is the best recommendation.
NEW QUESTION # 83
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