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ISQI CTAL-TAE_V2 Exam Syllabus Topics:

Section	Weight	Objectives
Preparation for Test Automation	15%	- Rollout and Deployment Considerations - SUT Analysis for Test Automation - Test Automation Tool Evaluation and Selection - Design for Testability and Automation - Test Automation Architecture Design
Test Automation Strategy and Roadmap	15%	- Test Automation Maintenance - Test Automation Planning - Test Automation Integration with CI/CD - Test Automation Governance
Test Automation Validation	15%	- Root Cause Analysis - Test Automation Assessment Metrics - Test Automation Verification
Introduction and Objectives for Test Automation	5%	- Purpose of Test Automation - Success Factors for Test Automation - Risks and Benefits of Test Automation
Execution and Implementation of Test Automation	35%	- Developing Test Automation Solutions - Implementing Test Automation Solutions - Logging and Reporting Strategies - Designing Test Automation Solutions - Verifying Test Automation Solutions - Building Robust Automated Test Suites
Transitioning from Manual to Automated Testing	15%	- Criteria for Manual vs. Automated Testing - Maintaining Automation Consistency - Automation Migration Strategies

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ISQI ISTQB Certified Tester Advanced Level - Test Automation Engineering CTAL-TAE (Syllabus v2.0) Sample Questions (Q40-Q45):

NEW QUESTION # 40
In a first possible implementation, the automated test scripts within a suite locate and interact with elements of a web UI indirectly through the browsers using browser-specific drivers and APIs, provided by an automated test tool used as part of the TAS. In an alternative implementation, these test scripts locate and interact with elements of the same web UI directly at the HTML level by accessing the DOM (Document Object Model) and internal JavaScript code. The first possible implementation:

A. Has the same level of intrusion as the alternative implementation, and therefore the risk of test scripts producing false positives is the same in both cases
B. Has a lower level of intrusion than the alternative implementation, and therefore its test scripts are more likely to produce false positives
C. Has a higher level of intrusion than the alternative implementation, and therefore its test scripts are less likely to produce false positives
D. Has a lower level of intrusion than the alternative implementation, and therefore its test scripts are less likely to produce false positives

Answer: D

Explanation:
TAE describes "intrusiveness" as the degree to which automation reaches into internal implementation details of the SUT rather than interacting through externally visible, user-realistic interfaces. Using browser drivers and browser automation APIs exercises the UI similarly to a real user (via the browser's supported automation hooks), which is generally less intrusive than directly manipulating the DOM and internal JavaScript. Direct DOM/JS access can bypass real user interaction pathways, skip browser event chains, and depend on internal structures that are not part of the stable external contract. This increases the risk of false positives: tests may
"pass" by forcing UI states or reading internal values even when the application would not behave correctly for real users. Less intrusive automation (through browser-level drivers) tends to provide higher confidence that observed behavior reflects real user experience, reducing the chance that tests succeed while user-visible behavior is broken. TAE therefore associates lower intrusion with stronger validity of results and lower false- positive risk, especially for system/UI-level validation. While browser-driven automation can still be flaky for other reasons (timing, environment), in the specific comparison of interaction method, browser-driver-based execution is the less intrusive option and is less likely to create false positives than direct internal DOM/JS manipulation.

NEW QUESTION # 41
Which of the following statements about a test progress report produced for an automated test suite is TRUE?

A. The test progress report should indicate, for each test in the suite, the timestamps related to the test steps
B. The content of the test progress report should not be affected by the stakeholders to whom the report is intended
C. The test progress report should indicate the test environment in which the tests were performed
D. The test progress report should indicate, for each test in the suite, the start and end timestamps of the test

Answer: C

Explanation:
TAE reporting guidance emphasizes that stakeholders must be able to interpret results in context. A fundamental contextual attribute is the test environment: where the SUT was deployed, what configuration was used, and (by implication) what data and integrations were in play. Without environment identification, results can be misleading, non-reproducible, or not comparable across runs (e.g., failures caused by environment instability vs. product defects). Therefore, including the environment in the progress report is a core requirement. Option B is incorrect because TAE explicitly promotes tailoring reports to stakeholder needs; different audiences require different levels of detail, summaries, and views. Option A is generally too granular for a progress report: step-level timestamps belong more to detailed execution logs and troubleshooting artifacts, not to a progress report intended to communicate status efficiently. Option D may be included in some reports, but it is not as universally required as the environment identifier; and in TAE,
"progress report" tends to focus on overall status (what ran, what passed/failed, trends, coverage, environment) rather than per-test timing metadata. Thus, the reliably true statement is that the report should indicate the test environment.

NEW QUESTION # 42
Which of the following statements about contract testing is TRUE?

A. 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
B. 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
C. 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
D. 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

Answer: C

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 # 43
(Which of the following statements refers to a typical advantage of test automation?)

A. Automated tests can determine whether actual results match expected results, even for non-machine- interpretable results
B. On average, automated tests written at the API level are likely to run faster than automated tests written at the UI level
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

Answer: B

Explanation:
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.

NEW QUESTION # 44
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 custom code that parses the actual response data and checks whether the extracted properties, data types, and formats are as expected
C. 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
D. Use an artificial intelligence algorithm based on machine learning and image recognition to implement a self-healing capability

Answer: A

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 # 45
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