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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction and Objectives for Test Automation | 5% | - Risks and Benefits of Test Automation - Purpose of Test Automation - Success Factors for Test Automation |
| Topic 2: Preparation for Test Automation | 15% | - Rollout and Deployment Considerations - Design for Testability and Automation - Test Automation Tool Evaluation and Selection - SUT Analysis for Test Automation - Test Automation Architecture Design |
| Topic 3: Test Automation Strategy and Roadmap | 15% | - Test Automation Integration with CI/CD - Test Automation Maintenance - Test Automation Governance - Test Automation Planning |
| Topic 4: Test Automation Validation | 15% | - Test Automation Verification - Test Automation Assessment Metrics - Root Cause Analysis |
| Topic 5: Transitioning from Manual to Automated Testing | 15% | - Automation Migration Strategies - Criteria for Manual vs. Automated Testing - Maintaining Automation Consistency |
| Topic 6: Execution and Implementation of Test Automation | 35% | - Building Robust Automated Test Suites - Designing Test Automation Solutions - Implementing Test Automation Solutions - Verifying Test Automation Solutions - Logging and Reporting Strategies - Developing Test Automation Solutions |
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NEW QUESTION # 51
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: B
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 # 52
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: A
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 # 53
What would be a goal of test automation in a Preproduction environment?
Answer: C
Explanation:
A preproduction environment is designed to resemble the production environment as closely as practicable and is therefore particularly appropriate for assessing non-functional quality characteristics. CTAL-TAE specifically identifies performance efficiency as an example of the type of characteristic commonly assessed in preproduction. Although non-functional testing can theoretically occur in other environments, preproduction provides greater realism in infrastructure, configuration, integration, and operating conditions.
Building software and verifying the correctness of the resulting build belong primarily to the build environment. Component functionality is normally verified earlier, such as within local development or build environments, while broader integration testing occurs within integration environments. Preproduction may also support user acceptance testing and execution of existing automated suites, but among the listed choices its distinguishing automation objective is assessment of non-functional characteristics.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 54
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 # 55
An API's response to a request made to the corresponding endpoint should return some specific data about a payment transaction in JSON format. In particular, your goal is to write the test automation code, keeping it as short as possible, aimed at determining whether that response includes certain properties (transaction_id, amount, status, timestamp) with the data types and formats expected. Assuming that the TAF provides all the necessary support to validate the specified API response, how would you BEST achieve your goal?
Answer: D
Explanation:
TAE encourages using the highest-leverage validation mechanisms available in the framework/tooling to keep tests concise, expressive, and maintainable. When validating JSON responses for presence of fields plus correct data types and formats, schema-based validation (e.g., JSON Schema or an equivalent contract/schema mechanism provided by the TAF) is typically the most efficient approach. It allows you to declare the expected structure once (required properties, types, constraints such as regex/date-time format, numeric ranges) and then validate the whole response in a single operation. This minimizes code and reduces repetitive assertions while producing clearer diagnostics when validation fails. Option B can work but usually results in more lines of code and repeated checks, and it is easier to miss constraints (e.g., timestamp format). Option D increases code volume and duplication by re-implementing parsing and validation logic that the TAF already provides, increasing maintenance burden. Option C is irrelevant to the goal of validating response properties
/types/formats. Therefore, specifying an expected schema and validating the response against it is the best way to keep code short and aligned with TAE maintainability recommendations.
NEW QUESTION # 56
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