Answer: Pipeline1 and Pipeline2 succeeded.

## Analysis of Pipeline Execution Status ### Pipeline1 Analysis: - Pipeline1 contains a **Stored procedure1** activity connected to a **Set variable1** activity via a **failure dependency** (red line). - There is **no success dependency** from Stored procedure1 to any subsequent activity. - In Azure Data Factory, a pipeline's overall status is determined by the execution status of its activities and their dependencies. When an activity fails but there is no success dependency path that must be followed, the pipeline can still complete successfully if there are failure handling paths. - Since Stored procedure1 fails and only has a failure dependency to Set variable1, the failure path is executed, and Set variable1 runs successfully. The pipeline completes without any unhandled success dependencies, resulting in Pipeline1 being marked as **Succeeded**. ### Pipeline2 Analysis: - Pipeline2 contains an **Execute Pipeline1** activity connected to a **Set variable2** activity via a **success dependency** (green line). - When Pipeline2 executes Pipeline1, Pipeline1 completes successfully (as explained above). - Since Pipeline1 succeeds, the success dependency from Execute Pipeline1 to Set variable2 is satisfied, and Set variable2 executes successfully. - Therefore, Pipeline2 completes all its activities successfully and is marked as **Succeeded**. ### Why Other Options Are Incorrect: - **Option B (Both failed)**: Incorrect because both pipelines handle their respective scenarios successfully. - **Option C (Pipeline1 succeeded, Pipeline2 failed)**: Incorrect because Pipeline2's execution of Pipeline1 succeeds, satisfying its success dependency. - **Option D (Pipeline1 failed, Pipeline2 succeeded)**: Incorrect because Pipeline1 does not fail overall; it handles the stored procedure failure through the failure dependency path. ### Key Azure Data Factory Concepts: - **Dependency Types**: Success (green) and failure (red) dependencies control activity execution flow. - **Pipeline Status**: A pipeline succeeds if all required dependency paths are satisfied, even if individual activities fail, as long as failure paths are properly handled. - **Error Handling**: Using failure dependencies for error handling allows pipelines to continue execution and complete successfully despite component failures.

Author: LeetQuiz Editorial Team