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Multiple Choice

What does the Hybrid Driven Framework combine?

The Hybrid Driven Framework combines the strengths of both Data Driven and Keyword Driven frameworks. In a Data Driven Framework, the test data is separated from the test scripts, allowing for the same scripts to be executed with different data sets. This promotes reusability and simplifies test maintenance, as changes to data do not require modifications to the test scripts themselves. On the other hand, the Keyword Driven Framework abstracts test automation actions into keywords, which represent specific actions or operations. This allows non-technical testers to write and understand automated tests more easily, as they can focus on keywords rather than underlying code. By merging these two frameworks, the Hybrid Driven Framework enables testers to utilize the benefits of both approaches. It harnesses the flexibility of Data Driven testing, which accommodates varying test data, along with the usability and readability provided by the Keyword Driven methodology. This combination can lead to a more robust and efficient automation strategy. The other combinations, while having their merits, do not encapsulate the complementary features found in both Data Driven and Keyword Driven frameworks.

The Hybrid Driven Framework combines the strengths of both Data Driven and Keyword Driven frameworks. In a Data Driven Framework, the test data is separated from the test scripts, allowing for the same scripts to be executed with different data sets. This promotes reusability and simplifies test maintenance, as changes to data do not require modifications to the test scripts themselves.

On the other hand, the Keyword Driven Framework abstracts test automation actions into keywords, which represent specific actions or operations. This allows non-technical testers to write and understand automated tests more easily, as they can focus on keywords rather than underlying code.

By merging these two frameworks, the Hybrid Driven Framework enables testers to utilize the benefits of both approaches. It harnesses the flexibility of Data Driven testing, which accommodates varying test data, along with the usability and readability provided by the Keyword Driven methodology. This combination can lead to a more robust and efficient automation strategy.

The other combinations, while having their merits, do not encapsulate the complementary features found in both Data Driven and Keyword Driven frameworks.