[Q14-Q30] 100% 高得点合格保証CTAL-TAE_V2無制限42解答で[2026]

100% 高得点合格保証CTAL-TAE_V2無制限42解答で[2026]

CTAL-TAE_V2問題集でPDF、CTAL-TAE_V2最速合格したいならここ

質問 # 14
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. Log all the messages directly on the corresponding log files associated with the specific execution to ensure the permanent storage of test execution logs
• B. 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
• C. 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
• D. Avoid logging the messages that occur during the specified bursts to minimize any potential performance overhead in test execution

正解：C

解説：
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.

質問 # 15
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?

• A. Run a given suite multiple times using TAS to determine whether all regression test scripts always provide the same result
• B. Check whether all regression test scripts in a given suite have expected results
• C. Create scripts to automatically install and configure the TAS in the test environment from the central repository
• D. Check whether the TAS connectivity to all required internal systems, external systems, and interfaces is available

正解：D

解説：
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.

質問 # 16
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?

• A. The specified root cause must be in the instability of the test environment, since no code has been changed
• B. Determining the specified root cause may require, in addition to the TAE, the support of others such as developers and system engineers
• C. Determining the specified root cause is certainly easier than if the automated test always fails (deterministic behavior)
• D. The specified root cause is a race condition that can be identified by also analyzing the log files of the test case, the SUT, and the TAF

正解：B

解説：
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.

質問 # 17
Which of the following practices can be used to specify the active (i.e., actually available) features for each release of the SUT and determine the corresponding automated tests that must be executed for a given release?

• A. The use of feature files
• B. Feature-driven development
• C. The use of feature toggles
• D. Test-driven development

正解：C

解説：
TAE materials commonly describe feature toggles (feature flags) as a mechanism to control which features are active in a given release or deployment without necessarily changing the codebase structure for each variant. Because toggles determine what functionality is actually enabled, they provide a practical basis for selecting which automated tests should run for that release configuration. When a feature is disabled via a toggle, executing tests for it can create false failures or wasted effort; when enabled, the corresponding tests become relevant as release evidence. Feature-driven development is a product/development planning approach and does not, by itself, provide an operational mechanism to declare what is active at runtime.
Feature files (often associated with BDD) specify behavior scenarios, but they do not inherently indicate whether a feature is active in a particular release unless explicitly tied to toggles or release configuration.
TDD focuses on coding practices at the unit level and similarly does not specify release-time feature availability. Feature toggles directly express "active vs. inactive" functionality and can be used to drive risk- based and relevance-based test execution decisions, matching the requirement precisely.

質問 # 18
Which of the following is the BEST example of how static analysis tools can help improve the test automation code quality in terms of security?

• A. Static analysis tools can help detect the presence of repeated instances of code within test automation code
• B. Static analysis tools can help detect hard-coded credentials that expose sensitive information within test automation code
• C. Static analysis tools can ensure there are no security vulnerabilities within test automation code
• D. Static analysis tools do not generate false positives when attempting to detect security vulnerabilities within test automation code

正解：B

解説：
TAE highlights that test automation code can introduce security risks, particularly when it handles secrets (API keys, passwords, tokens), test accounts, and connections to production-like systems. Static analysis tools can scan source code for insecure patterns and policy violations without executing the code. A common, high- impact security issue in automation is hard-coded credentials or secrets embedded in scripts, configuration files committed to version control, or test utilities. Detecting these is a direct security-quality improvement: it reduces exposure risk and supports compliance. Option A is incorrect because static analysis can produce false positives; detection heuristics are not perfect. Option B is useful for maintainability (duplication), but it is not specifically a security improvement example. Option D overclaims: static analysis cannot guarantee the absence of security vulnerabilities; it can only detect certain classes of issues. Therefore, the best security- focused example is that static analysis can identify hard-coded credentials and other sensitive data exposure in test automation code.

質問 # 19
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?

• A. Do all automated tests within the suite always provide the same results across multiple runs?
• B. Is the connectivity between the TAS and the necessary internal and external systems available and stable?
• C. Does the level of intrusion of automated test tools influence confidence in the suite's test results?
• D. Are all automated tests within the suite complete in terms of test data, including expected results?

正解：B

解説：
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.

質問 # 20
Which of the following recommendations can help improve the maintainability of test automation code?

• A. Avoid producing test automation code containing methods with too many levels of nesting, as deeply nested code is more difficult to understand
• B. Use error codes in test automation code instead of exceptions (if exceptions are supported by the programming language) for error handling
• C. Avoid adopting design patterns that introduce high levels of abstraction in test automation code, such as the flow model pattern
• D. Avoid using static analyzers on test automation code and other development tools, as they are designed to improve the maintainability of SUT code

正解：A

解説：
TAE emphasizes that maintainable automation code should be readable, understandable, and easy to modify when the SUT or test intent changes. Deeply nested logic increases cognitive load, makes control flow harder to follow, and complicates debugging and refactoring-especially in automation where synchronization, retries, and error handling are common. Therefore, avoiding excessive nesting is a direct, widely applicable maintainability recommendation. Option A is generally contrary to modern maintainability guidance:
exceptions (used appropriately) typically provide clearer error propagation and richer diagnostic information than manual error codes scattered across call chains. Option C is too broad and misleading: abstraction and patterns are often recommended by TAE to manage complexity and improve maintainability (when applied appropriately); the issue is not "patterns," but misusing them or overengineering. Option D is incorrect because static analysis and developer tooling can substantially improve automation code quality by detecting issues such as dead code, complexity hotspots, duplicated code, insecure practices, and style violations. Thus, the most aligned maintainability recommendation in TAE terms is to avoid overly nested methods.

質問 # 21
A SUT (SUT1) is a client-server system based on a thin client. The client is primarily a display and input interface, while the server provides almost all the resources and functionality of the system. Another SUT (SUT2) is a client-server system based on a fat client that relies little on the server and provides most of the resources and functionality of the system. A given TAS is used to implement automated tests on both SUT1 and SUT2. The main objective of the TAS is to cover as many system functionalities as possible through automated tests executed as fast as possible. Which of the following statements about the automation solution is BEST in this scenario?

• A. The TAS should support mainly server-side automation for both SUT1 and SUT2
• B. The TAS should support mainly client-side automation for SUT1 and server-side automation for SUT2
• C. The TAS should support mainly client-side automation for both SUT1 and SUT2
• D. The TAS should support mainly server-side automation for SUT1 and client-side automation for SUT2

正解：D

解説：
TAE promotes selecting automation interfaces that maximize speed, robustness, and functional coverage while minimizing unnecessary UI traversal. For a thin client architecture, most business logic and system functionality resides on the server. To cover functionality efficiently, tests should interact as close as possible to where the logic is implemented-typically via server-side interfaces (e.g., APIs/services, backend endpoints, message interfaces). This reduces GUI overhead and accelerates execution while improving reliability. For a fat client, substantial logic resides on the client side; server-side automation alone may miss critical client behavior, validations, local processing, and UI-driven flows that embody much of the functionality. In such cases, client-side automation (often UI automation or client-level interfaces) is more directly aligned to achieving high functional coverage. TAE also highlights that the "best" interface depends on where behavior is implemented and which interface yields the most stable, fastest checks for the targeted risks. Therefore, the optimal combination is server-side automation for SUT1 (thin client) and client-side automation for SUT2 (fat client), which best meets the goal of broad coverage with minimal execution time.

質問 # 22
You have agreed with your organization's managers to conduct a pilot project to introduce test automation.
Managers' expectations about the benefits of automation are too optimistic. Which of the following is LEAST relevant when deciding the scope of the pilot project's objectives?

• A. Evaluate the suitability of different test automation tools based on the technology stack used by the applications for which the automated tests will be developed
• B. Evaluate the potential cost savings and benefits (e.g., faster test execution, better test coverage) of using automated testing versus manual testing
• C. Evaluate the performance of an organization's network infrastructure in terms of factors such as availability, bandwidth, latency, packet loss, and jitter
• D. Evaluate the knowledge and skills of people who will be involved in automating test cases for applicable test automation frameworks and technologies

正解：C

解説：
TAE positions pilot projects as a controlled way to validate feasibility, calibrate expectations, and reduce adoption risk. Pilot objectives typically include assessing tool fit (technical compatibility, integration, reporting, maintainability), estimating realistic benefits and costs (execution speed, regression efficiency, coverage improvements, maintenance overhead), and assessing team readiness (skills, training needs, required roles). Those align directly with options A, B, and C. Network performance characteristics can matter for distributed test execution or remote environments, but evaluating enterprise network infrastructure at a deep level (availability, jitter, packet loss) is generally not a primary objective for a test automation pilot- especially when the central concern is overly optimistic expectations about automation benefits. A pilot should focus on demonstrating what can be automated, at what cost, with what stability and maintainability, and what process changes are needed. Infrastructure constraints may be observed as risks during the pilot, but a full network performance evaluation is more characteristic of IT operations or performance engineering initiatives, not a test automation introduction pilot scope. Therefore, option D is the least relevant when defining the pilot's objectives in a TAE-aligned approach.

質問 # 23
(Which of the following statements refers to a typical advantage of test automation?)

• A. On average, automated tests written at the API level are likely to run faster than automated tests written at the UI level
• B. Automated tests can determine whether actual results match expected results, even for non-machine- interpretable results
• C. Automated tests can allow defects to be detected earlier than manual tests because their execution times can be shorter
• D. Artificial intelligence can be used to help identify redundant tests within large, long-running automated regression test suites

正解：A

解説：
In the ISTQB Test Automation Engineer (TAE) body of knowledge, a core, typical advantage of test automation is faster feedback through efficient execution, especially when tests are implemented at lower levels (e.g., API/service) rather than through the UI. UI tests inherently traverse more layers (browser, rendering, client-side code, network timing, and often multiple back-end calls), so they tend to be slower and more brittle. API-level tests bypass most UI-related overhead and interact closer to business logic/services, reducing execution time and improving reliability. Option A is incorrect because many results (e.g., visual aesthetics, subjective usability, tone, or "looks right") are not reliably machine-interpretable without specialized approaches and still often require human judgment. Option C may be possible in some contexts, but "AI redundancy identification" is not a typical, foundational advantage emphasized as a standard automation benefit. Option D is misleading: early defect detection is mainly achieved by earlier and more frequent execution (e.g., CI) and shifting tests left, not merely because a single automated run is shorter than manual execution. Therefore, the most typical advantage presented is that API automation generally runs faster than UI automation.

質問 # 24
(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. Integration environment
• B. Production environment
• C. Build environment
• D. Preproduction environment

正解：D

解説：
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 as preproduction (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 the preproduction environment, aligning with TAE's guidance on balancing realism with risk containment.

質問 # 25
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?

• A. Specify the schema for the expected response data (properties, data types, and formats) and validate the actual response data against this schema
• B. Write a single assertion for each property to check whether the data types and formats for that property are as expected in the actual response
• C. Use an artificial intelligence algorithm based on machine learning and image recognition to implement a self-healing capability
• D. Write custom code that parses the actual response data and checks whether the extracted properties, data types, and formats are as expected

正解：A

解説：
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.

質問 # 26
Which of the following descriptions of what some test automation tools can be used to do is TRUE?

• A. Analyze test results, code changes, and metrics to predict potential defects and areas of high risk within an application
• B. Autonomously perform exploratory testing sessions based on test charters to find defects within an application
• C. Autonomously design intuitive UIs and evaluate them, as well as evaluate the overall UX (User Experience) of an application
• D. Make video recordings of UI testing sessions to share with stakeholders to show the functionality and appearance of an application

正解：D

解説：
TAE recognizes a range of supporting capabilities offered by test tools beyond pure scripted execution, including reporting, evidence capture, and run artifacts that help stakeholders understand what was tested.
Video recording of UI test sessions is a common feature in several UI automation ecosystems and cloud device
/browser platforms, used to provide visual evidence of steps performed, failures observed, and the application' s look-and-feel during execution. This supports debugging and communication with non-technical stakeholders. Option A overstates what test automation tools do: autonomously designing intuitive UIs and evaluating UX is largely outside typical test automation tool scope and requires human-centered design methods. Option C is also overstated: exploratory testing is inherently human-driven; tools can assist (session notes, heuristics support, telemetry) but do not truly conduct exploratory testing autonomously based on charters in the general TAE framing. Option B touches on advanced analytics and AI/ML-assisted quality insights; while some platforms offer risk prediction features, the phrasing implies broad predictive defect capability, which is not a standard, dependable tool function emphasized in TAE compared with concrete capabilities like artifact capture. Therefore, the clearly true, commonly supported capability is making video recordings of UI testing sessions.

質問 # 27
(Which of the following statements about how test automation is applied across different software development lifecycle models is TRUE?)

• A. In a Waterfall model, automated tests are usually executed only during the last phase of the development lifecycle, but their implementation occurs in the early stages
• B. In Agile software development, automated regression test suites sometimes grow so large that they can become difficult to maintain, and thus, it becomes crucial to invest in test automation at multiple test levels
• C. In Agile software development, regardless of context (e.g., type of application to be developed, tools available), test automation must be based on the test automation distribution known as the test pyramid model
• D. Unlike Agile software development, where automated unit tests are written by developers, often in a test-first fashion, in a V-model, automated unit tests are written by testers as part of unit testing

正解：B

解説：
TAE guidance emphasizes that Agile/iterative delivery drives frequent change and frequent regression risk, which often leads teams to expand automated regression suites over time. As suites grow, they can become slower, costlier to maintain, and harder to keep stable-especially if the suite is concentrated too heavily at the UI level. For this reason, TAE stresses investing in automation across multiple test levels (unit
/component, API/service, and selected UI), aligning with principles behind balanced automation strategies (often illustrated by the "test pyramid"). This directly supports option A. Option B is not generally true: in Waterfall/V-model, testing activities (including automation design and implementation) are planned and may start early, but execution and refinement occur across phases aligned with integration and system readiness- not "usually only during the last phase." Option C is too absolute: the test pyramid is a common heuristic, but TAE does not mandate it "regardless of context"; constraints like legacy systems, risk, architecture, and tooling can change the optimal distribution. Option D is incorrect because unit testing is typically a developer responsibility in both Agile and V-model contexts; testers may support, review, or contribute but do not
"write automated unit tests" as a defining V-model rule. Therefore, A best matches documented lifecycle realities and maintenance concerns.

質問 # 28
Consider a TAS aimed at implementing and running automated test scripts at the UI level on web apps. The TAS must support cross-browser compatibility for a variety of supported browsers, by ensuring that the same test script will run on such browsers in the same way without making any changes to it. This is achieved by introducing appropriate abstractions into the TAA for connection and interaction with different browsers.
Because of this, the TAS will be able to make direct calls to the supported browsers using each different browser's native support for automation. Which of the following SOLID principles was adopted?

• A. Interface segregation principle
• B. Liskov substitution principle
• C. Dependency inversion principle
• D. Open-closed principle

正解：C

解説：
The scenario describes introducing abstractions so that test scripts do not depend directly on concrete browser- specific automation implementations. Instead, tests depend on an abstraction (e.g., a "BrowserDriver" interface), while each concrete browser implementation (Chrome, Firefox, Edge, etc.) provides its own adapter using native automation support. This is a classic application of the Dependency Inversion Principle (DIP): high-level modules (test scripts and business-level actions) should not depend on low-level modules (specific browser drivers); both should depend on abstractions. Additionally, details (browser-specific integrations) depend on the abstraction, not the reverse. TAE emphasizes that this reduces coupling and improves maintainability: you can add or update browser implementations with minimal impact on test definitions. While Open-Closed is also supported (extending with new browser adapters without modifying existing tests), the key phrase "introducing appropriate abstractions" specifically to decouple tests from concrete drivers is DIP. Liskov Substitution relates to substituting implementations without breaking correctness, and Interface Segregation concerns keeping interfaces small and specific-neither is as directly targeted by the described architectural decoupling. Therefore, the SOLID principle most clearly adopted is Dependency Inversion.

質問 # 29
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. Use appropriate colors to effectively visually highlight different types of information in the test execution log files
• B. Split the generated log file into smaller parts, load them into external files that are loaded into the browser in transparent mode when needed
• C. 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
• D. 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

正解：C

解説：
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.

質問 # 30
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