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| Section | Objectives |
|---|---|
| Continuous Improvement | - Upgrading tools and libraries - Streamlining test suites (removing obsolete tests) - Maintaining automated testing assets - Refactoring test code - Analyzing and adapting the test automation strategy over time |
| Test Automation Reporting and Metrics | - Logging: detailed logs for debugging vs. high-level summaries - Proving value to stakeholders - Selecting appropriate metrics (e.g., percent automated, defect detection rate) - Visualizing results for different audiences (technical vs. management) |
| Preparing for Test Automation | - SUT Testability (Observability and Controllability) - Evaluating automation tools and technologies - Design for Testability - Tool Selection and evaluation for specific technology stacks |
| Introduction and Objectives for Test Automation | - Test automation within different software development lifecycle models - How SUT (System Under Test) architecture impacts test tool suitability - Benefits and limitations of test automation |
| The Generic Test Automation Architecture (gTAA) | - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) - Capabilities in a test automation architecture - Designing a test automation solution - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Approaches for automating test cases |
| Verifying the Test Automation Solution (TAS) | - Checking the test environment setup - Verifying that the automation code itself is correct - Automated test suite verification |
| Implementation of Test Automation | - Configuration management in test automation - Test environment configuration (URLs, Credentials, Test data, Common core library) - Test automation solution (TAS) implementation - Integration of test automation with CI/CD pipelines - SUT-specific adaptors - Test data management |
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NEW QUESTION # 39
An automated test case that should always pass sometimes passes and sometimes fails intermittently (non- deterministic behavior) when executed in the same test environment, even if no code (i.e., SUT code or the test automation code) has been changed. Which of the following statements about the root cause of this non- deterministic behavior is TRUE?
Answer: D
Explanation:
TAE treats non-deterministic (flaky) test behavior as a symptom that can originate from multiple sources:
timing and synchronization issues, race conditions, concurrency, environmental variability (resource contention, network latency), unstable test data, third-party dependencies, or hidden state leakage between tests. Because these causes often span boundaries-application code, infrastructure, deployment configuration, test tooling, and data pipelines-finding the true root cause frequently requires collaboration beyond the TAE role. Developers may need to inspect application logs, thread behavior, and recent architectural assumptions; system engineers may need to analyze resource saturation, container orchestration events, network anomalies, or environment drift. Option A is too specific and assertive: the root cause is not necessarily a race condition, and logs may not be sufficient to identify it. Option C is incorrect because no code change does not imply the environment is the only cause; flaky behavior can stem from hidden nondeterminism in the system or tests that is always present but only sometimes triggers. Option D is also incorrect; intermittent failures are often harder to diagnose than consistent deterministic failures because evidence is less reproducible. Therefore, the true statement is that determining the root cause may require support from developers and system engineers in addition to the TAE.
NEW QUESTION # 40
You are currently conducting a Proof of Concept (PoC) aimed at selecting a tool that will be used for the development of a TAS. This TAS will exclusively be used by one team within your organization to implement automated UI-level test scripts for two web apps. The two tools selected for the PoC use JavaScript
/TypeScript to implement the automated test scripts and offer capture and playback capabilities. Three test cases for each of the two web apps were selected to be automated during the PoC. The PoC will compare these two tools in terms of their effectiveness in recognizing and interacting with UI widgets exercised by the test cases, to quickly determine whether test automation is possible and which tool is better. Which of the following TAFs is BEST suited for conducting the PoC?
Answer: A
Explanation:
For a PoC whose primary goal is rapid feasibility assessment and tool comparison (especially around object recognition and interaction), TAE recommends minimizing framework complexity and upfront engineering.
In a PoC, you want the shortest path to executing representative tests so you can observe tool behavior, stability, locator robustness, synchronization support, and ease of driving the UI widgets in scope. A one-layer approach-simple test scripts with minimal abstraction-reduces the time spent building reusable libraries, enforcing architecture, or creating business layers that are not necessary for answering the PoC question.
Multi-layer frameworks (two-layer and beyond) are more appropriate when you are establishing maintainability, reuse, and scaling for long-term automation. Those benefits matter in the full TAS implementation, but they can distort PoC outcomes by introducing additional design decisions, patterns, and glue code that hide or compensate for tool limitations. Since only six test cases are being automated and the objective is to quickly determine whether UI automation is possible and which tool performs better at widget interaction, the simplest structure (one-layer TAF) is best aligned with TAE PoC guidance: rapid learning, minimal overhead, and clear attribution of outcomes to the tool rather than to framework design.
NEW QUESTION # 41
As a TAE you are evaluating a functional test automation tool that will be for several projects within yourorganization. The projects require that tool to work effectively and efficiently with SUT's in distributed environments. The test automated tool also needs to interface with other existing test tools (test management tool and defect tracking tool.) The existing test tools subject to planned updates and their interface to the test automated tool may not work property after these updates.
Which of the following are the two LEAST important concerns related to the evaluation of the test automation in this scenario?
* Is the test automation tool able to launch processors and execute test cases on multiple machines in
* different environments?
* Does the test automation tool support a licensing scheme that allows accessing different sets?
* Does the testautomation tool have a large feature set, but only part of the features will be sets?
* Do the release notes for the planned updates on existing specify the impacts on their interfaces to other tools?
Does the test automation tool need to install specific libraries that could impact the SUT?
Answer: A
NEW QUESTION # 42
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: B
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 # 43
As a TA-E, you have successfully verified that a test automation environment and all other components of the TAS are working as expected. Now your goal is to verify the correct behavior for a given automated test suite that will be run by the TAS. Which of the following should NOT be part of the verifications aimed at achieving your goal?
Answer: D
Explanation:
TAE separates two verification scopes: (1) verifying the automation environment and TAS components (infrastructure, connectivity, toolchain readiness), and (2) verifying the correctness and trustworthiness of a specific automated test suite (test completeness, determinism, result validity). The scenario explicitly states that the environment and all TAS components have already been verified as working as expected.
Connectivity between the TAS and internal/external systems is an environment-level readiness check and therefore belongs primarily to the first scope. For the second scope-verifying the behavior of the automated test suite-TAE emphasizes ensuring tests are complete (including correct expected results and data), are repeatable/deterministic across runs, and that the approach/tool intrusion level is understood so stakeholders can interpret confidence in results. That maps to options B, C, and D as suite-focused considerations. Option A repeats an environment connectivity check that should have been addressed in the prior phase and is not a core part of verifying the suite's behavior once environment readiness has been established. Therefore, option A should NOT be part of the suite-behavior verification in this stated situation.
NEW QUESTION # 44
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