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| Section | Weight | Objectives |
|---|---|---|
| Preparation for Test Automation | 15% | - Rollout and Deployment Considerations - SUT Analysis for Test Automation - Design for Testability and Automation - Test Automation Tool Evaluation and Selection - Test Automation Architecture Design |
| Test Automation Validation | 15% | - Test Automation Assessment Metrics - Root Cause Analysis - Test Automation Verification |
| Execution and Implementation of Test Automation | 35% | - Implementing Test Automation Solutions - Verifying Test Automation Solutions - Logging and Reporting Strategies - Developing Test Automation Solutions - Designing Test Automation Solutions - Building Robust Automated Test Suites |
| Introduction and Objectives for Test Automation | 5% | - Success Factors for Test Automation - Purpose of Test Automation - Risks and Benefits of Test Automation |
| Transitioning from Manual to Automated Testing | 15% | - Automation Migration Strategies - Maintaining Automation Consistency - Criteria for Manual vs. Automated Testing |
| Test Automation Strategy and Roadmap | 15% | - Test Automation Integration with CI/CD - Test Automation Maintenance - Test Automation Planning - Test Automation Governance |
In this way, the ISQI CTAL-TAE_V2 certified professionals can not only validate their skills and knowledge level but also put their careers on the right track. By doing this you can achieve your career objectives. To avail of all these benefits you need to pass the CTAL-TAE_V2 Exam which is a difficult exam that demands firm commitment and complete CTAL-TAE_V2 exam questions preparation.
NEW QUESTION # 21
You have been recruited as a TAE by a large travel agency and are now responsible for a mature TAS that is dedicated to functional testing of the company's booking system, which covers flights, hotels, and packaged holidays. This application contains a complex UI and a lot of functionality. It is undergoing constant maintenance and enhancement by an Agile team that adds tests to the regression test suite at the end of every iteration.
The TAS supports structured scripting and this has been implemented to a high standard, with a well-managed script library and minimal code duplication. The TAA will not support any more advanced scripting techniques. The test automation that has been achieved so far was well received at first but is now the target of increasing criticism. It is perceived as being old-fashioned, poorly documented and, in particular:
1. The test script maintenance overhead is becoming excessive because the test analysts frequently want data values to be changed.
2. Test analysts are complaining that a new test which is similar to an existing one, except for data values, requires a new high-level script, and that they must ask a technical test analyst to do this for them.
3. The nightly full regression run is taking a long time and there is a risk that, as more tests are added, it will soon take too long to run in the available window.
4. Some tests break frequently because of a slow response from the SUT.
5. Some transactions are difficult to verify because they rely on variables that cannot be seen through the UI of the SUT.
6. The UI of the TAF is difficult to learn.
Your new manager wants quick improvements to address items 1, 2 and 3. She has accepted that the TAA may need to be enhanced to support the improvements.
Which TWO improvements will BEST fit this scenario?
a) Transition the automation to data-driven testing
b) Transition the automation to keyword-driven testing
c) Adopt a set of standard verification methods
d) Review the test automation scripts for functional duplication
e) Implement hard-coded waits in scripts that have been affected by slow SUT response
Answer: C
Explanation:
Data-driven testing directly addresses items 1 and 2 because it separates test data from test logic and allows the same automated script to execute repeatedly with different datasets. Test analysts can maintain external data files themselves, reducing dependence on technical test analysts and avoiding creation of duplicate high- level scripts merely because input values differ. For item 3, CTAL-TAE recommends examining test-script, test-case, and test-step overlap when continuously improving a TAS. Redundant or overlapping automated tests can be consolidated, reducing unnecessary regression execution and maintenance. Keyword-driven testing would require greater implementation effort and is not necessary merely to solve data variation.
Standard verification methods do not directly reduce duplicated execution, while hard-coded waits are discouraged because they are brittle and can unnecessarily increase execution duration. Thus, a and d provide the most targeted improvements.
(https://istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 22
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?
Answer: C
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 # 23
Your company is about to start a project to replace an old sales and merchandising system with a new version that will be based on modern platforms. The main requirements for the system are:
1. Loading sales data, sent electronically from the stores each evening, into a central database.
2. Producing sales reports for the merchandisers, whose job is to manage stock levels in stores.
3. Producing forecast reports, used to predict future demand for each product, based on a combination of sales history and forecasting parameters. The parameters will be entered by the merchandisers into a browser-based front end and the reports will be produced overnight. The users will be able to retrieve the reports, on screen or in print, via an interactive feature.
Requirements 1 and 2 were already met by the old system and will be rewritten in the new system with some minor functional changes. The sales data will, as before, be loaded in an overnight batch run. There have been problems with the old system at peak periods when this run has taken longer than scheduled, so that dependent jobs could not finish before the start of the next working day. The Data Centre manager requires that the new system's overnight batch runs take 10% less time than the old one, including the new reports, to allow time for all jobs to complete.
Requirement 3 is new. The functionality provided by the UI will be simple and the Sales & Merchandising manager requires that it be easy to use.
The data for testing the reports will be extracted from the old system in production and will be anonymized before use.
The system will be developed using an Agile lifecycle with iterations of fixed length. This will be the first full deployment of this methodology, which has just completed a successful pilot. It is a relatively simple development and is expected to be completed in three releases, each taking approximately 2 months.
You are an experienced TAE and have been recruited to implement test automation on this project and have started to evaluate candidate tools to automate functional and some non-functional testing. It is already clear that no single tool will meet all requirements, and that the developers' existing Integrated Development Environment will meet the automation needs of their testing. The TAS will need to support CI/CD.
When reviewing your tool comparison table, what two tool capabilities will be MOST beneficial for this project?
i) The ability to support multiple and configurable test environments.
ii) The ability to manage test data in a way that supports version control of the data sets.
iii) The ability to be compatible with other tools that are likely to be used on the project.
iv) The ability to expand the overall test architecture and to be scalable and modifiable.
v) The ability for non-technical users to enter requests for customizable reports.
Answer: D
Explanation:
The scenario explicitly states that no single tool will satisfy all automation requirements and that the TAS must support CI/CD. Consequently, interoperability with other project tools is especially important. The syllabus identifies integration with CI/CD, test management, reporting, task-tracking, and other tools as a major tool-evaluation criterion. The project is also replacing a legacy system with modern platforms and will evolve across several Agile releases, making scalability and modifiability of the overall test architecture highly valuable. ISTQB specifically identifies the ability to expand the architecture and assess scalability, maintainability, modifiability, compatibility, and reliability when comparing automation tools. Although configurable environments and test-data management are valid considerations, the scenario's strongest distinguishing requirements are multi-tool integration and an architecture capable of evolving with the project.
Therefore, iii and iv are correct.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 24
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?
Answer: C
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 # 25
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: C
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 # 26
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