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| Section | Objectives |
|---|---|
| Continuous Improvement | - Refactoring test code - Upgrading tools and libraries - Streamlining test suites (removing obsolete tests) - Maintaining automated testing assets - Analyzing and adapting the test automation strategy over time |
| Verifying the Test Automation Solution (TAS) | - Automated test suite verification - Checking the test environment setup - Verifying that the automation code itself is correct |
| Implementation of Test Automation | - Configuration management in test automation - Integration of test automation with CI/CD pipelines - Test environment configuration (URLs, Credentials, Test data, Common core library) - SUT-specific adaptors - Test data management - Test automation solution (TAS) implementation |
| Test Automation Reporting and Metrics | - Proving value to stakeholders - Logging: detailed logs for debugging vs. high-level summaries - Visualizing results for different audiences (technical vs. management) - Selecting appropriate metrics (e.g., percent automated, defect detection rate) |
| Preparing for Test Automation | - SUT Testability (Observability and Controllability) - Tool Selection and evaluation for specific technology stacks - Design for Testability - Evaluating automation tools and technologies |
| The Generic Test Automation Architecture (gTAA) | - Designing a test automation solution - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Approaches for automating test cases - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Capabilities in a test automation architecture - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) |
| Introduction and Objectives for Test Automation | - Test automation within different software development lifecycle models - Benefits and limitations of test automation - How SUT (System Under Test) architecture impacts test tool suitability |
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NEW QUESTION # 42
An automated test script makes a well-formed request to a REST API in the backend of a web app to add a single item for a product (with ID = 710) to the cart and expects a response confirming that the product is successfully added. The status line of the API response is HTTP/1.1 200 OK, while the response body indicates that the product is out of stock. The API response is correct, the test script fails but completes, and the message to log is: The product with ID = 710 is out of stock. Cart not updated. When this occurs, you are already aware that both the failed test and the API are behaving correctly and that the problem is in the test data. The TAS supports the following test logging levels: FATAL, ERROR, WARN, INFO, DEBUG. Which of the following is the MOST appropriate test logging level to use to log the specified message?
Answer: D
Explanation:
TAE logging guidance focuses on making logs actionable while reflecting severity and intent. Here, the test failed due to an expected, non-system fault condition: the product is out of stock, which is a valid business- state response and confirms the API behaved correctly. The issue is that the test data (product availability) did not satisfy the test's precondition. This is not a fatal condition (FATAL) because execution continues and the overall system is not unusable. It is not best treated as ERROR either (not offered as an option here) because an error-level message usually indicates a defect, malfunction, or unexpected failure needing immediate engineering attention. INFO would be too low because it may be lost among normal run messages and does not adequately flag that the test outcome is affected by a precondition violation requiring action (e.g., reseeding data, choosing a different product ID). DEBUG is typically reserved for highly detailed diagnostic traces intended for deeper troubleshooting, not for highlighting a test-data problem affecting test validity.
WARN is intended for abnormal or noteworthy conditions that do not indicate a product defect but may require attention to maintain test reliability. Therefore, WARN is the most appropriate level.
NEW QUESTION # 43
Consider a SUT that small run on multiple platform during the execution of automated test runs. In each test run an automated test suite needs to be executed, with the same version of the TAF, against the sameversion of the SUT of each platform. Each platform shall have its own dedicated test environment. Your goal is to implement a process as automated as possible ( i.e with minimal manual intervention) that allows implementing a consistent setup of the TAS across the multiple test environments.
Which two of the following aspects are MOST relevant for achieving your goal in this scenario?
* The configuration of the TAS uses automated installation scripts
* The TAF saves the logs needed to debug errors in XML format
C) Features of the TAF not used by the automated tests have been tested D) All the automated test cases contain the expected results E) The TAS components are under configuration management
Answer: D
NEW QUESTION # 44
You are reviewing the testability of your SUT.
Which of the following BEST refers to the characteristic of OBSERVABILITY?
Answer: D
NEW QUESTION # 45
Designing the System Under Test (SUT) for testability is important for a good test automation approach and can also benefit manual test execution.
Which of the following is NOT a consideration when designing for testability?
Answer: D
NEW QUESTION # 46
A defect in a SUT has been resolved and validated by an automated defect re-test in the current release of the software. This retest has now been added to the automated regression test suite.
Which statement BEST describes a reason why this defect could re-occur in future releases?
Answer: C
NEW QUESTION # 47
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