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| Section | Objectives |
|---|---|
| Topic 1: Test Automation in the Software Lifecycle | - Automation strategy within development processes - CI/CD integration considerations |
| Topic 2: Test Automation Development | - Framework implementation - Test script design and coding standards |
| Topic 3: Deployment and Maintenance | - Maintenance and evolution of automation assets - Execution environments and tool integration |
| Topic 4: Test Automation Architecture Design | - Architecture patterns for automation solutions - Maintainability and scalability design |
| Topic 5: Test Automation Metrics and Risk Management | - Risk analysis for automation projects - Measurement and reporting of automation effectiveness |
| Topic 6: System Under Test (SUT) Analysis | - Testability and automation feasibility - SUT interfaces and dependencies |
| Topic 7: Introduction to Test Automation Engineering | - Success factors for automation - Purpose and scope of test automation |
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NEW QUESTION # 70
You are evaluating the best approach to implement automated tests at the UI level for a web app. Specifically, your goal is to allow test analysts to write automated tests in tabular format, within files that encapsulate logical test steps related to how a user interacts with the web UI, along with the corresponding test data. These steps must be expressed using natural language words that represent the actions performed by the user on the web UI. These files will then be interpreted and executed by a test execution tool. Which of the following approaches to test automation is BEST suited to achieve your goal?
Answer: D
Explanation:
The described goal matches the defining characteristics of keyword-driven testing: tests are expressed using keywords (action words) that represent user operations, often arranged in tabular form with parameters/test data. TAE describes keyword-driven approaches as enabling non-programmers (e.g., test analysts) to create and maintain tests by combining high-level keywords such as "Open Browser," "Click," "Enter Text,"
"Select," "Verify Text," etc., while the underlying automation framework maps those keywords to executable code. The use of files interpreted by a test execution tool is also typical: keyword tables (or similar structured specifications) are read and executed by the automation engine. Data-driven testing focuses on separating test logic from test data, typically running the same script multiple times with different datasets; it does not inherently require natural-language action words or tabular step definitions (though it can be combined).
Linear scripting is code-centric and not aligned with analyst-authored natural language step tables. TDD is unrelated to the requirement of tabular, natural-language keyword specification for UI test steps. Therefore, keyword-driven testing is the best fit for the stated approach.
NEW QUESTION # 71
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 # 72
Consider a TAS that uses a keyword-driven framework. The SUT is a web application and there is a large set of keywords available for writing the automated tests that relate to highly specific user actions linked directly to the GUI of the SUT. The automated test written with the keywords are statically analyzed by a custom tool which highlight's repeated instances of identical sequence of keywords. The waiting mechanism implemented by the TAS for a webpage load is based on a synchronous sampling within a given timeout. The TAS allows checking a webpage load every seconds until a timeout value
Answer: D
NEW QUESTION # 73
Which of the following layers within the TAA contains technology-specific implementations that enable automated tests to have the execution of their logical actions result in actual interaction with the appropriate interfaces of the SUT?
Answer: B
Explanation:
TAE describes layered automation architectures where higher layers express intent and test logic, while lower layers handle concrete interaction with specific technologies and interfaces. The test adaptation layer is the layer that "adapts" abstract test actions to the real SUT interaction mechanisms. It typically contains technology-specific adapters, drivers, wrappers, or connectors (e.g., browser drivers, mobile automation bridges, API clients, message-bus connectors, database utilities) that translate logical operations like "click login," "submit order," or "query customer" into the correct low-level calls for the target interface. This is where the details of protocols, locator strategies, synchronization primitives, data access methods, and tool- specific APIs live, shielding higher layers from churn when technologies change. The test execution layer is responsible for orchestrating execution (running suites, scheduling, collecting results, reporting), but not primarily for implementing the technology-specific SUT interaction itself. The test definition layer focuses on how tests are specified (scripts, keywords, models, data), and the test generation layer concerns deriving tests (e.g., model-based generation). Therefore, the layer containing technology-specific implementations enabling actual interaction with SUT interfaces is the test adaptation layer.
NEW QUESTION # 74
Consider the following layers of the gTAA structure:
a.Test generation layer
b.Test definition layer
c.Test execution layer
d.Test execution layer
Consider the following capabilities associated with these layers.
Acquire all the necessary resources before each test and release all after run, in order to avoid interdependences between test Allow the automated test scripts on an abstract level to interact with components, configurations and interfaces of the SUT.
Design test directives that allow configuring the algorithms used to automatically produce the test cases a given model of the SUT.
Allow the definition and implementation of test cases and data by means of templates and/or guidelines.
Which of the following BEST matches each layer with the appropriate capability?
Answer: B
NEW QUESTION # 75
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