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NEW QUESTION # 21
The last few runs for a suite of automated keyword-driven tests on a SUT were never completed. The test where the run was aborted was not the same between runs. Currently, it is not possible to identify the root cause of these aborts, but only determine that test execution aborted when exceptions (e.g., NullPointerException, OutOfMemoryError) occurred on the SUT by analyzing its log files. Test execution log files are currently generated, in HTML format, by the TAS as follows: all expected logging data is logged for each keyword in intermediate log files. This data is then inserted into the final log file only for keywords that fail, while only a configurable subset of that data is logged for keywords that execute successfully. Which of the following actions (assuming it is possible to perform all of them) would you take FIRST to help find the root cause of the aborts?
- A. Log the stack trace and amount of memory available to the SUT at the start and end of each test in the suite, in the SUT log files
- B. Log all expected logging data in the final test execution log file, not only for keywords that fail, but also for keywords that execute successfully
- C. Split the generated log file into smaller parts, load them into external files that are loaded into the browser in transparent mode when needed
- D. Use appropriate colors to effectively visually highlight different types of information in the test execution log files
Answer: B
Explanation:
TAE stresses that when diagnosing intermittent aborts with unclear root cause, the first priority is ensuring sufficient, consistent observability from the automation side to reconstruct what happened immediately before termination. In this scenario, the suite aborts in different tests across runs, and the final HTML report currently contains full detail only for failing keywords, while successful keywords have reduced logging. If the run aborts due to an exception in the SUT, the "last executed successful keywords" and their full context may be essential to correlate actions with the SUT failure point. The fastest, most direct improvement is to include complete keyword-level logging for successful steps as well, at least until the issue is understood.
This aligns with TAE guidance to temporarily increase logging verbosity during investigation to capture the sequence of actions, inputs, timings, and states leading up to failure. Option A could be helpful, but it changes SUT-side logging and may require additional access or instrumentation; also, it does not guarantee visibility into the exact automation step sequence. Options B and D improve presentation/performance of logs but do not add diagnostic content. Therefore, first increase the completeness of the final execution logs for all keywords to maximize evidence for root cause analysis.
NEW QUESTION # 22
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?
- A. Integration environment
- B. Local development environment
- C. Preproduction environment
- D. Build environment
Answer: C
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 # 23
Which of the following information in API documentation is LEAST relevant for implementing automated tests on that API?
- A. Authentication mechanisms required to access the API
- B. Details about the parameters accepted by each API endpoint
- C. Release notes/change logs on past changes to the API
- D. Details about the format of the API responses
Answer: C
Explanation:
To implement automated API tests, TAE emphasizes that testers need precise, actionable interface specifications: what endpoints exist, what inputs they accept, how to authenticate/authorize requests, and what outputs are returned (status codes, headers, response body schemas/formats). Options B, C, and D directly support test design and implementation: parameter details enable valid/invalid request construction and boundary coverage; authentication mechanisms are required to execute any protected calls and to test auth- related behaviors; response formats enable robust assertions (including schema validation). Release notes and change logs are valuable for understanding evolution, migration, and backward compatibility considerations, but they are not typically required to implement the tests for the current API behavior when the current specification is available. They may help explain why something changed or guide test updates over time, yet they are less directly relevant to writing the core automated checks compared with endpoint inputs, auth, and response structure. Therefore, among the options, past release notes/change logs are the least relevant for implementing automated tests on the API.
NEW QUESTION # 24
Consider a TAS implemented to perform automated testing on native mobile apps at the UI level, where the TAF implements a client-server architecture. The client runs on-premise and allows creation of automated test scripts using TAF libraries to recognize and interact with the app's UI objects. The server runs in the cloud as part of a PaaS service, receiving commands from the client, translating them into actions for the mobile device, and sending the results to the client. The cloud platform hosts several mobile devices dedicated for use by this TAS. The device on which to run test scripts/test suites is specified at run time. You are currently verifying whether the test automation environment and all other TAS/TAF components work correctly. Which of the following activities would you perform to achieve your goal?
- A. Manage the infrastructure that hosts the server, including hardware, software updates, and security patches
- B. Check whether all test scripts that will be executed by the TAS as part of a given test suite have expected results
- C. Check whether the references to the device on which the given test scripts/test suites will be executed are correctly hard-coded within these test scripts/test suites
- D. Check whether the TAF libraries that the test scripts will use to recognize and interact with the app's UI objects (widgets) function as expected
Answer: D
Explanation:
The task is to verify the test automation environment and TAS/TAF components, not to validate the correctness of specific test suites. In a client-server TAF for mobile automation, a critical component is the automation library layer that exposes functions to locate and interact with UI objects, and that communicates with the cloud server/device farm. TAE guidance highlights that environment verification should focus on ensuring that the automation tooling stack can reliably perform its fundamental operations: connect to the execution infrastructure, select target devices at runtime, execute commands, and receive results. Checking that the TAF libraries correctly recognize and interact with widgets directly validates that the end-to-end automation mechanism (client # server # device # response) is functioning. Option A is not appropriate because the server is on PaaS; infrastructure management is typically handled by the provider and is not part of validating your TAS operation. Option B is incorrect because the scenario states the device is specified at run time, so hard-coding device references is not the expected design and is not the right verification focus.
Option D concerns test suite correctness (expected results), which is a later step after confirming the automation environment works. Therefore, verifying that the TAF libraries function as expected is the correct activity.
NEW QUESTION # 25
Which of the following layers within the TAA contains technology-specific implementations that enable automated tests to have the execution of their logical actions result in actual interaction with the appropriate interfaces of the SUT?
- A. Test execution layer
- B. Test generation layer
- C. Test definition layer
- D. Test adaptation layer
Answer: D
Explanation:
TAE describes layered automation architectures where higher layers express intent and test logic, while lower layers handle concrete interaction with specific technologies and interfaces. The test adaptation layer is the layer that "adapts" abstract test actions to the real SUT interaction mechanisms. It typically contains technology-specific adapters, drivers, wrappers, or connectors (e.g., browser drivers, mobile automation bridges, API clients, message-bus connectors, database utilities) that translate logical operations like "click login," "submit order," or "query customer" into the correct low-level calls for the target interface. This is where the details of protocols, locator strategies, synchronization primitives, data access methods, and tool- specific APIs live, shielding higher layers from churn when technologies change. The test execution layer is responsible for orchestrating execution (running suites, scheduling, collecting results, reporting), but not primarily for implementing the technology-specific SUT interaction itself. The test definition layer focuses on how tests are specified (scripts, keywords, models, data), and the test generation layer concerns deriving tests (e.g., model-based generation). Therefore, the layer containing technology-specific implementations enabling actual interaction with SUT interfaces is the test adaptation layer.
NEW QUESTION # 26
(In User Acceptance Testing (UAT) for a new SUT, in addition to the manual tests performed by the end- users, automated tests are performed that focus on the execution of repetitive and routine test scenarios. In which of the following environments are all these tests typically performed?)
- A. Production environment
- B. Integration environment
- C. Preproduction environment
- D. Build environment
Answer: C
Explanation:
TAE distinguishes test environments by purpose and risk. User Acceptance Testing is typically performed in an environment that is as production-like as feasible (configuration, data shape, integrations) but still controlled and safe for testing activities. This is commonly referred to aspreproduction(often "staging"): it supports realistic end-to-end flows, allows business users to validate that the SUT meets acceptance criteria, and enables running routine/repetitive automated checks without risking live operations. A build environment is focused on compiling/packaging and basic verification, not business acceptance. An integration environment is used to validate interactions among components/systems, but may not reflect full production- like configuration, and it's often shared and volatile-less suitable for formal acceptance activities involving end users. Production is generally avoided for UAT because acceptance testing can alter live data, disrupt users, and introduce unacceptable business risk; production testing is typically limited to tightly controlled smoke checks, monitoring, or specific "in-production" validation patterns with strong safeguards. Therefore, the environment in which both end-user manual UAT and supporting automated routine scenarios are typically executed is thepreproduction environment, aligning with TAE's guidance on balancing realism with risk containment.
NEW QUESTION # 27
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?
- A. INFO
- B. FATAL
- C. DEBUG
- D. WARN
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 # 28
You are executing the first test run of a test automation suite of 200 tests. All the relevant information related to the state of the SUT and to the automated test execution is stored in a small database. During the Automated test run you observe that the first 10 test pass, while an abnormal termination occurs when executing the
11thtest. This test does not complete its execution and the overall execution of the suite is aborted. An immediate analysis of the abnormal termination is expected to be time consuming and you have been asked to produce a detailed report of the execution results for the first test run, as soon as possible.
What is the MOST important FIRST step to be taken immediately after the abnormal occurred when executing the 11thtest?
- A. Return the database to a consistent state that allows subsequent test to run
- B. Take a backup of the database in its current state. So It can be analyzed later
- C. Re-run the test automation suite starting from the 12thtest
- D. Re-run the test automation suite starting from the 1sttest.
Answer: B
NEW QUESTION # 29
Assume that you are the TAE responsible for the correct functioning of a TAS, deployed in a test environment that consists of a few machines running the same version of the operating system. The TAS has been working and stable since its deployment, it has been used to run an automated test suite consisting of many similar automated test. The infrastructure team is planning to update the operating system on these machines by installing a new the service pack for security reasons. Since the vendor of the operating system assurance full backward compatibility, the infrastructure team assurance that there will be no impacts on the functioning of the TAS.
What is the BEST approach to confirm the correct functioning of the TAS in this scenario?
- A. Verify the behavior of the automated tests by running a small tests, then gradually run the remaining tests to confirm the correct functioning of the whole automated test suite.
- B. Do not run any tests because you can immediately confirm the correct functioning of the automated test suite
- C. Make sure that the infrastructure team has completed installing the service pack on the machines where SUT is running, then run the whole automated test suite to verify itsbehavior
- D. Verify the behavior of the whole automated test suite by running all the automated tests
Answer: A
NEW QUESTION # 30
What is NOT a factor in considering when you are asked to ensure an effective transition from manual to automated tests?
- A. Correctness of test data and test cases
- B. The controllability of the SUT
- C. Complexity to automate the manual test cases
- D. The look and feel of the SUT
Answer: B
NEW QUESTION # 31
Which of the following statement about the implementation of automated regression testing is FALSE?
- A. When automating regression tests, the initialization stepsset the test preconditions should be automated wherever possible
- B. When automating regression tests, the structure of automated tests must always be the same as the corresponding manual tests
- C. When automating regression tests, consideration should be given to how much time would be saved by automation
- D. When automating regression tests, the corresponding manual tests should have already been executed to verify they operate correctly
Answer: D
NEW QUESTION # 32
Consider a TAS that exclusively uses the APIs of a SUT. To make this work, significant changes have been required to the SUT by adding a set of dedicated test interfaces to the APIs. All the automated tests will use these test interfaces when interacting with the SUT. Assume that you are currently verifying the correctness of the automated test environment and test tool setup.
Which of the following would you expect to be the MOST specific risk associated with this scenario?
- A. The connectivityfrom the TAS to the dedicated test interfaces will not work
- B. The process of configuring the TAS will be error-phone due to manual intervention
- C. False alarms, that are unlikely to occur inthe real world, will be observed during testing
- D. The automated test cases will not contain the expected result
Answer: C
NEW QUESTION # 33
Which of the following statements about the relationship between TAA, TAS and TAF is true?
- A. A TAF can be used to implement a TAA, which is an implementation of a TAS
- B. A TAF can be used to implement a TAS, which is an implementation of a TAA
- C. A TAS can be used to implement a TAA, which is an implementation of a TAF
- D. A TAS can be used to implement a TAF, which is an implementation of a TAA
Answer: B
Explanation:
In TAE terminology, the Test Automation Architecture (TAA) is the conceptual, high-level blueprint that describes how automation will be structured, what layers exist, how components interact, and how the automation connects to the SUT and supporting systems. The Test Automation Solution (TAS) is the concrete realization of that architecture in a specific context-tools, infrastructure, pipelines, conventions, and components assembled to deliver automated testing capability. The Test Automation Framework (TAF) is a structured set of reusable libraries, guidelines, and mechanisms that supports efficient development, execution, reporting, and maintenance of automated tests; it is commonly a key part used to build the TAS.
TAE documents commonly present this relationship as: TAA (design) # implemented as TAS (solution) # constructed using one or more TAFs (framework elements) plus tools and environment components. Options B, C, and D invert these relationships and misrepresent the concept that architecture is implemented by a solution, not the other way around. Therefore, the statement that a TAF can be used to implement a TAS, which is an implementation of a TAA, is the correct relationship.
NEW QUESTION # 34
Which of the following statements about contract testing is TRUE?
- A. Contract testing can be viewed as a specialized form of API testing that can be applied to effectively and efficiently test integration between systems, but only if they interact synchronously
- B. Contract testing, regardless of the approach chosen (provider-driven or consumer-driven) does not need to rely on the creation of stubs/mocks since it is used to implement integration testing, not unit
/component testing - C. Contract testing can be viewed as a specialized form of API testing that can be applied to effectively and efficiently test integration between microservices, but only if they interact with REST APIs
- D. The differences between the two approaches to contract testing stem primarily from which side creates the contract: this creation is done by the provider for the provider-driven approach and by the consumer (s) for the consumer-driven approach
Answer: D
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 # 35
A SUT has an existing automated test suite.
Which of the following statements relating to the introduction of new features in the SUT is TRUE?
- A. The introduction of a new feature could require updates or additions to the testware components
- B. The test automation engineer should work with the business analysts to ensure the new feature is testable
- C. Automated tests are not affected by the introduction of a new feature and running them against the new SUT is a waste of effort
- D. It is generally more difficult to automate test cases for a new feature as the development has not yet started
Answer: C
NEW QUESTION # 36
Automated tests run by a TAS on a SUT can be subject to sudden bursts of messages to log during their execution. All log messages that occur during execution must be permanently stored in the corresponding test execution logs by the TAS for later analysis. If logging is not performed correctly, these bursts can reduce the execution speed of these automated tests, causing them to produce unreliable results. Which of the following solutions would you expect to be MOST useful to address this issue for TAS logging?
- A. Use a Network Time Protocol (NTP) server to ensure that the clocks of the machines running TAS and SUT are synchronized with a common time source
- B. Avoid logging the messages that occur during the specified bursts to minimize any potential performance overhead in test execution
- C. Log all the messages directly on the corresponding log files associated with the specific execution to ensure the permanent storage of test execution logs
- D. Log all the messages in memory using a circular buffer and periodically flush the buffer to the corresponding log files associated with the specific execution
Answer: D
Explanation:
TAE highlights that logging must balance diagnostic value with execution performance and reliability. Direct synchronous file I/O for every log message can become a bottleneck during bursts, increasing latency and perturbing the timing of the automated interactions-especially for UI or time-sensitive integration tests- leading to flaky outcomes. Since all messages must be permanently stored, dropping burst logs (option C) violates the requirement. NTP synchronization (option A) helps correlate events across systems, but it does not address the performance overhead caused by bursty logging. The most useful approach is to buffer log events in memory and flush them periodically or asynchronously to disk. A circular buffer (or similar in- memory queue) reduces immediate I/O pressure and smooths bursts, while still preserving messages for later analysis when combined with an appropriate flush strategy and sizing. This design is aligned with TAE's emphasis on making the TAS itself reliable and non-intrusive, ensuring logging supports triage without materially slowing or destabilizing test execution. Therefore, buffering in memory and periodically flushing to log files is the best solution.
NEW QUESTION # 37
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