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| Section | Objectives |
|---|---|
| Continuous Improvement | - Refactoring test code - Analyzing and adapting the test automation strategy over time - Maintaining automated testing assets - Streamlining test suites (removing obsolete tests) - Upgrading tools and libraries |
| Verifying the Test Automation Solution (TAS) | - Checking the test environment setup - Automated test suite verification - Verifying that the automation code itself is correct |
| Introduction and Objectives for Test Automation | - How SUT (System Under Test) architecture impacts test tool suitability - Test automation within different software development lifecycle models - Benefits and limitations of test automation |
| Test Automation Reporting and Metrics | - Proving value to stakeholders - Visualizing results for different audiences (technical vs. management) - Logging: detailed logs for debugging vs. high-level summaries - Selecting appropriate metrics (e.g., percent automated, defect detection rate) |
| Preparing for Test Automation | - Evaluating automation tools and technologies - Tool Selection and evaluation for specific technology stacks - SUT Testability (Observability and Controllability) - Design for Testability |
| Implementation of Test Automation | - SUT-specific adaptors - Test data management - Integration of test automation with CI/CD pipelines - Configuration management in test automation - Test automation solution (TAS) implementation - Test environment configuration (URLs, Credentials, Test data, Common core library) |
| The Generic Test Automation Architecture (gTAA) | - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Capabilities in a test automation architecture - Approaches for automating test cases - Designing a test automation solution - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) - Tailoring gTAA to create a specific Test Automation Architecture (TAA) |
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11. Frage
Consider a TAS that uses a keyword-driven framework. The SUT is a web application and there is a large set of keywords available for writing the automated tests that relate to highly specific user actions linked directly to the GUI of the SUT. The automated test written with the keywords are statically analyzed by a custom tool which highlight's repeated instances of identical sequence of keywords. The waiting mechanism implemented by the TAS for a webpage load is based on a synchronous sampling within a given timeout. The TAS allowschecking a webpage load everyseconds until a timeout value
Antwort: C
12. Frage
Which of the following metrics could suggest, under certain condition that an automated regression test suite has NOT been updated for new functionalities added to the SUT?
Antwort: A
13. Frage
Your goal is to verify completeness, consistency and correct behavior of an automated test suite. The TAS has been proven to successfully install in the SUT environment. All the preliminary checks to verify the correct functioning of the automated test environment and test tool configuration, installation and setup have successfully completed.
Which of the following is NOT a relevant check for achieving your goal in this scenario?
Antwort: C
14. Frage
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?
Antwort: A
Begründung:
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.
15. Frage
A CI/CD pipeline consists of two phases: build and deployment. The build phase, among other activities, runs automated test cases at the following test levels: Component Testing (CT) and Component Integration Testing (CIT). If the build phase is successful, the deployment phase is started. The deployment phase first provisions the test environment infrastructure needed to deploy the SUT, then deploys the SUT to this environment, and finally triggers another separate pipeline that runs automated test cases at the following test levels: System Testing (ST) and Acceptance Testing (AT). Which of the following statements is TRUE?
Antwort: B
Begründung:
TAE describes quality gates as defined checkpoints in pipelines where objective criteria determine whether the pipeline may proceed (e.g., thresholds, pass/fail rules, coverage, or risk-based acceptance). Automated tests at multiple levels can serve as such gates. In the build phase, CT and CIT are commonly used as strong, fast quality gates because they provide quick feedback on code correctness and integration of closely related components; failures typically block promotion. In the deployment phase, after provisioning and deploying into a test environment, automated System Testing and Acceptance Testing can also serve as quality gates for promoting a build to later stages or release candidates, especially when the organization relies on automated regression and automated acceptance criteria for release decisions. While ST/AT may take longer and may be more prone to environmental factors, TAE still supports using them as gates when they are sufficiently stable, relevant, and aligned with release risk. The scenario explicitly places ST/AT in a separate triggered pipeline, which still qualifies as a gating mechanism if downstream promotion depends on its outcome. Therefore, both CT-CIT and ST-AT can act as quality gates.
16. Frage
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