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| Section | Objectives |
|---|---|
| Topic 1: System Under Test (SUT) Analysis | - SUT interfaces and dependencies - Testability and automation feasibility |
| Topic 2: Test Automation in the Software Lifecycle | - Automation strategy within development processes - CI/CD integration considerations |
| Topic 3: Test Automation Metrics and Risk Management | - Risk analysis for automation projects - Measurement and reporting of automation effectiveness |
| Topic 4: Test Automation Development | - Test script design and coding standards - Framework implementation |
| Topic 5: Deployment and Maintenance | - Maintenance and evolution of automation assets - Execution environments and tool integration |
| Topic 6: Test Automation Architecture Design | - Maintainability and scalability design - Architecture patterns for automation solutions |
| Topic 7: Introduction to Test Automation Engineering | - Purpose and scope of test automation - Success factors for automation |
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NEW QUESTION # 15
Which of the following descriptions of what some test automation tools can be used to do is TRUE?
Answer: D
Explanation:
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.
NEW QUESTION # 16
A TAS uses a commercial test automation tool and the default logs generated by the inconsistent formats such as different types of messages (pass/fail steps, screenshots, warnings, etc.) To solve this issue some custom logging functions have been created from the test scripts, making it possible to log the different types of messages with the same format. However, this may cause a problem due to excessive size of the logs which can make it difficult to find the required information. Assume that all the default logs will be disabled when running the automated tests and that some tests will not generate excessively sized logs.
Which of the following represents the BEST suggestion for implementing the custom logging functions?
Answer: D
NEW QUESTION # 17
You are currently conducting a Proof of Concept (PoC) aimed at selecting a tool that will be used for the development of a TAS. This TAS will exclusively be used by one team within your organization to implement automated UI-level test scripts for two web apps. The two tools selected for the PoC use JavaScript
/TypeScript to implement the automated test scripts and offer capture and playback capabilities. Three test cases for each of the two web apps were selected to be automated during the PoC. The PoC will compare these two tools in terms of their effectiveness in recognizing and interacting with UI widgets exercised by the test cases, to quickly determine whether test automation is possible and which tool is better. Which of the following TAFs is BEST suited for conducting the PoC?
Answer: B
Explanation:
For a PoC whose primary goal is rapid feasibility assessment and tool comparison (especially around object recognition and interaction), TAE recommends minimizing framework complexity and upfront engineering.
In a PoC, you want the shortest path to executing representative tests so you can observe tool behavior, stability, locator robustness, synchronization support, and ease of driving the UI widgets in scope. A one-layer approach-simple test scripts with minimal abstraction-reduces the time spent building reusable libraries, enforcing architecture, or creating business layers that are not necessary for answering the PoC question.
Multi-layer frameworks (two-layer and beyond) are more appropriate when you are establishing maintainability, reuse, and scaling for long-term automation. Those benefits matter in the full TAS implementation, but they can distort PoC outcomes by introducing additional design decisions, patterns, and glue code that hide or compensate for tool limitations. Since only six test cases are being automated and the objective is to quickly determine whether UI automation is possible and which tool performs better at widget interaction, the simplest structure (one-layer TAF) is best aligned with TAE PoC guidance: rapid learning, minimal overhead, and clear attribution of outcomes to the tool rather than to framework design.
NEW QUESTION # 18
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: 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 # 19
Assume that you are the TAE responsible for the correct functioning of a TAS, deployed in a test environment that consists of a few machines running the same version of the operating system. The TAS has been working and stable since its deployment, it has been used to run an automated test suite consisting of many similar automated test. The infrastructure team is planning to update the operating system on these machines by installing a new the service pack for security reasons. Since the vendor of the operating system assurance full backward compatibility, the infrastructure team assurance that there will be no impacts on the functioning of the TAS.
What is the BEST approach to confirm the correct functioning of the TAS in this scenario?
Answer: B
NEW QUESTION # 20
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