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| Section | Objectives |
|---|---|
| Test Automation Maintenance and Evolution | - Handling application changes - Maintaining automated test assets - Refactoring automation solutions |
| Integration and Deployment (CI/CD) | - Execution strategies in continuous testing - Toolchain integration - Integration into CI/CD pipelines |
| Preparing for Test Automation | - Selecting test cases for automation - Feasibility assessment for automation - Risk analysis for automation scope |
| Test Automation Architecture | - Design principles for automation architecture - Maintainability and scalability considerations - Test automation frameworks |
| Introduction to Test Automation Engineering | - Goals and value of test automation - Success factors for test automation - Test automation within the software lifecycle |
| Test Automation Solution Development | - Implementation of automated test solutions - Handling test environments - Test data management |
| Transition and Deployment | - Introducing automation into organizations - Scaling test automation adoption |
| Test Automation Reporting and Metrics | - Automation reporting approaches - Key metrics for test automation effectiveness |
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NEW QUESTION # 26
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 # 27
You are working for a clothing retailer that has big stores in many cities. Your TAS, for the first time, has just been used for reliability and stress testing of the overnight batch processing that collects sales transactions from the stores and adds them to a data warehouse; functional suitability tests have been reused for these runs.
All tests have finished normally but their results have not been satisfactory, and it has been difficult to understand the nature of the defect or defects that have been causing the failures.
What data, if added to the test logs, would MOST likely help with debugging in this situation?
a) Dynamic data about the status of the test platforms
b) Screenshots taken during test execution
c) Crash dumps and stack traces
d) Values of randomly generated test input data
e) Counts of the quantity of test cases executed during each run
Answer: A
Explanation:
For reliability and stress testing, CTAL-TAE specifically recommends capturing dynamic information about the SUT and recording execution counters. Dynamic platform information can expose conditions such as resource utilization, memory leaks, or other runtime degradation that may explain failures occurring during intensive overnight processing. The syllabus also states that when reliability or stress testing involves numerous test cycles, a counter should be logged so investigators can determine how many times the test cases were executed and correlate failures with prolonged execution. Crash dumps and stack traces are particularly relevant when the SUT crashes, but the scenario explicitly states that the tests finished normally.
Random input values are important only when randomized testing is used, which is not stated. Screenshots provide little diagnostic value for backend overnight batch reliability testing. Therefore, a and e are the most useful data.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 28
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?
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 # 29
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 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.
The SUT architect is planning a major new release and they have offered to include features that will enhance its testability. You already have plans to deal with items 1, 2 and 3 on the list, so now you are considering how you might mitigate items 4, 5 and 6.
Which TWO improvements will BEST address items 4, 5 and 6?
a) Add an event mechanism to the SUT which the TAF can subscribe to
b) Adopt a set of standard setup and teardown methods
c) Add an API to the SUT that will make the internal variables observable d) Update and improve the documentation of the TAA e) Implement hard-coded waits in scripts that have been affected by slow SUT response
Answer: C
Explanation:
An event mechanism directly addresses failures caused by variable SUT response times. The syllabus identifies subscribing to SUT events as a more reliable synchronization mechanism than hard-coded waiting or repeated polling, provided suitable timeout protection exists. This makes option a appropriate for item 4.
Item 5 is fundamentally an observability problem: the automation cannot verify internal variables through the existing UI. ISTQB explains that improving SUT testability can require architectural changes, including exposing APIs that the TAS can use. An API that makes the required internal state observable enables reliable automated verification without depending on otherwise invisible UI information. Hard-coded waits are specifically vulnerable to unpredictable response times. Setup/teardown does not solve observability, and TAA documentation alone does not expose the inaccessible SUT state. Therefore, a and c provide the strongest technical improvements.
(https://www.istqb.org/wp-content/uploads/2024/11/ISTQB_CTAL-TAE_Syllabus_v2.0.pdf)
NEW QUESTION # 30
Which of the following statements about contract testing is TRUE?
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 # 31
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