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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementation and Deployment Strategies | 12% | - Configuration management and version control - Test execution strategies and environment management - Test data management approaches - Integration with CI/CD pipelines |
| Topic 2: Continuous Improvement | 19% | - Upgrading tools and frameworks - Refactoring and optimizing automation - Streamlining and maintaining test assets - Adapting to new technologies and requirements |
| Topic 3: Implementing Test Automation | 11% | - Planning and running pilot projects - Handling synchronization, stability and reliability - Developing and maintaining automation components - Managing technical debt |
| Topic 4: Introduction and Objectives for Test Automation | 5% | - Test automation in software development lifecycle models - Roles and responsibilities of a Test Automation Engineer - Purpose, benefits and limitations of test automation |
| Topic 5: Preparing for Test Automation | 14% | - Cost, effort and ROI analysis - Identifying automation opportunities and constraints - Evaluating and selecting test tools - Assessing system testability and architecture |
| Topic 6: Reporting and Metrics | 12% | - Visualization and dashboards - Defining relevant automation metrics - Reporting to stakeholders - Collecting and analyzing data |
| Topic 7: Test Automation Architecture | 15% | - Layered frameworks and separation of concerns - Generic Test Automation Architecture (gTAA) - Design principles and patterns for automation - Interoperability and integration concepts |
| Topic 8: Verifying the Test Automation Solution | 12% | - Validating test suite correctness - Verifying automation code and infrastructure - Assessing quality and reliability of automation |
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NEW QUESTION # 10
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: A
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 # 11
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: B
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 # 12
Which of the following statements about contract testing is TRUE?
Answer: B
Explanation:
TAE describes contract testing as verifying that two parties (e.g., consumer and provider services) adhere to an agreed interface contract, enabling earlier, more targeted detection of integration mismatches without requiring full end-to-end integration in every test run. A key distinction in approaches is indeed who defines
/publishes the contract. In provider-driven contracts, the provider defines the contract describing what it offers; consumers validate compatibility against it. In consumer-driven contract testing, consumers define expectations (often per consumer), and providers verify they satisfy those expectations. Option A is false because stubs/mocks (or simulated counterparts) are frequently used to allow each side to test independently and deterministically, which is one of contract testing's practical strengths. Option B is too narrow: contract testing can apply beyond REST (e.g., GraphQL, gRPC, messaging/event contracts). Option D is also too restrictive: it can apply to asynchronous interactions (events/messages) as well as synchronous calls.
Therefore, the accurate statement is option C.
NEW QUESTION # 13
When choosing an automation tool, which would be the BEST option for automation testers who have programming skills?
Answer: C
NEW QUESTION # 14
A TAS that performs automated testing in a single test environment was successfully manually installed and configured from a central repository, with all its components in the correct versions. It was also verified that all TAS components in this environment are capable of providing reliable and repeatable performance. The TAS will be used to run several suites of automated regression test scripts on various SUTs in the test environment. Your current goal is to complete all preliminary verifications to ensure that the TAS works correctly. Which of the following activities would you perform FIRST?
Answer: D
Explanation:
TAE differentiates verifying the automation environment and infrastructure (the ability of the TAS to operate) from verifying the test suites' correctness (the behavior of specific automated tests). The scenario states the TAS was installed correctly and its components perform reliably in isolation. The next preliminary verification is ensuring the TAS can actually interact with the necessary systems and interfaces required to execute tests end-to-end: SUT endpoints, browsers/devices, authentication services, databases, messaging systems, third-party integrations, and any CI/CD or artifact services it must access. If connectivity is missing or unstable, any subsequent suite executions or repeatability checks can fail for reasons unrelated to test logic, creating noise and wasted investigation. Creating installation scripts (A) is valuable for scalability, but it is not needed to confirm the TAS works in the already-installed single environment. Checking expected results in scripts (D) and running suites repeatedly for determinism (C) are important, but they assume the TAS can reliably reach all required dependencies. TAE recommends validating connectivity and access prerequisites early as a gate for meaningful execution. Therefore, the first activity is to verify TAS connectivity to all required internal/external systems and interfaces.
NEW QUESTION # 15
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