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NEW QUESTION # 77
Automated tests at the UI level for a web app adopt an asynchronous waiting mechanism that allows them to synchronize test steps with the app, so that they are executed correctly and at the right time, only when the app is ready and has processed the previous step: this is done when there are no timeouts or pending asynchronous requests. In this way, the tests automatically synchronize with the app's web pages. The same initialization tasks to set test preconditions are implemented as test steps for all tests. Regarding the pre- processing (Setup) features defined at the test suite level, the TAS provides both a Suite Setup (which runs exactly once when the suite starts) and a Test Setup (which runs at the start of each test case in the suite).
Which of the following recommendations would you provide for improving the TAS (assuming it is possible to perform all of them)?
Answer: A
Explanation:
TAE strongly discourages replacing robust, app-aware synchronization with manual waits. Automatic synchronization based on application readiness signals (e.g., no pending async requests) reduces flakiness and unnecessary delays. Hard-coded waits (A) are brittle and slow; polling waits (C) can be better than fixed sleeps but are still generally inferior to event/readiness-based synchronization already in place. The improvement opportunity described is that the same initialization steps are repeated in every test as explicit test steps, which increases test script length, duplication, and maintenance effort. TAE recommends centralizing common setup logic using framework setup/teardown mechanisms to enforce consistency and reduce duplication. Since the initialization tasks are needed to set preconditions for each test (so each test starts from a known state and remains independent), they belong in the Test Setup, which runs before each test case. Putting them in Suite Setup (D) would run them only once, risking that later tests inherit polluted state, making tests interdependent and more brittle. Therefore, moving shared per-test initialization tasks into the Test Setup is the best recommendation.
NEW QUESTION # 78
Which of the following statement about the implementation of automated regression testing is FALSE?
Answer: B
NEW QUESTION # 79
A TAS is used to run on a test environment a suite of automated regression tests, written at the UI level, on different releases of a web app: all executions complete successfully, always providing correct results (i.e., producing neither false positives nor false negatives). The tests, all independent of each other, consist of executable test scripts based on the flow model pattern which has been implemented in a three-layer TAF (test scripts, business logic, core libraries) by expanding the page object model via the facade pattern. Currently the suite takes too long to run, and the test scripts are considered too long in terms of LOC (Lines of Code).
Which of the following recommendations would you provide for improving the TAS (assuming it is possible to perform all of them)?
Answer: A
Explanation:
The primary problem is execution time; correctness and independence are already strong. TAE recommends improving feedback time for long-running regression suites by parallelizing execution when tests are independent and the infrastructure supports it. Because the tests are explicitly independent, they are well- suited to parallel execution across multiple environments (or multiple nodes within an environment), reducing overall wall-clock duration without changing test intent. Option B addresses crash recovery, but the scenario says executions complete successfully; crash recovery does not solve the current bottleneck. Option A changes the modeling pattern; it may or may not reduce LOC, but it introduces risk and rework without directly addressing runtime. Also, flow model and facade-expanded page objects are already architectural choices aimed at maintainability and reuse; replacing them is not the most direct solution for speed. Option D (improving SUT testability) can help in general, but it is invasive, expensive, and not targeted to the stated issue when tests already yield correct results. Therefore, the best improvement is to split the suite and run parts concurrently on different environments to reduce total execution time, consistent with TAE guidance on scaling automation execution.
NEW QUESTION # 80
The GUI of a Customer Relationship Management (CRM) application has been delivered through internet Explorer with proprietary Active X and Java controls. This implementation enables rich client capabilities, but specific commercial automation tools are necessary to automate test cases at GUI of functional test cases.
This is to demonstrate whether a small set of the commercial are able to properly recognize actions taken by a tester when interacting with GUI of the CRM application.
Which of the following scripting techniques would be MOST suitable in this scenario?
Answer: D
NEW QUESTION # 81
As a TAE, you are evaluating a test automation tool to automate some UI tests for a web app. The automated tests will first locate the required HTML elements on the web page using their corresponding identifiers (locators), then perform actions on those elements, and finally check the presence of any expected text for an HTML element. These tests are independent of each other and are organized into a test suite that must be run every night against the most recent build of the web app. There is a high risk that the web app will crash while running some automated tests. Based only on the given information, which of the following is your MOST important concern related to the evaluation of the test automation tool?
Answer: A
Explanation:
Given the explicit risk that the web app may crash during execution, the highest-priority tool capability is resilience: the ability to recover, continue, and provide usable results from unattended nightly runs. TAE emphasizes that automation must be reliable as a process, not just at the single-test level. If one crash aborts the entire suite, the organization loses feedback for many tests, reduces confidence in the pipeline, and increases triage cost. Therefore, capabilities such as automatic restart of the browser/app, test isolation, robust teardown, failure handling, skipping/marking affected tests, and resuming execution with proper reporting are critical evaluation criteria. Option A (descriptive meta-language) can help readability or non-coder authoring but is not the most urgent need based on the scenario. Option C (mock server) is useful for isolating dependencies in some test levels, but the scenario is UI tests against the most recent build; nothing indicates an API dependency problem that drives tool selection here. Option D (licensing feature sets) affects procurement, but it does not directly mitigate the stated operational risk. Hence, recovery and continuation support is the most important concern.
NEW QUESTION # 82
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