Associate Data Practitioner · Free Practice Question Easy
Question 29
A data pipeline needs to apply different processing logic based on the content of the data. Which service provides the most flexibility for implementing conditional workflows?
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A
Cloud Workflows
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B
Cloud Functions
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C
Cloud Scheduler
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D
Cloud Tasks
Reveal correct answer
Correct answer: A
Explanation
Option A is CORRECT. Cloud Workflows is specifically designed for creating conditional service orchestration based on data content or previous step results. It provides built-in support for conditional branching (if/else statements), loops, variable manipulation, and error handling. This makes it ideal for implementing different processing paths based on data content, as it can evaluate conditions and direct the workflow accordingly with native support for complex decision trees.
Option B is INCORRECT. While Cloud Functions can contain conditional logic, coordinating multiple functions in a complex workflow with different paths becomes difficult without a proper orchestration service. Functions are better for individual processing steps rather than managing the overall workflow branching logic.
Option C is INCORRECT. Cloud Scheduler is a cron job service for triggering operations on a time-based schedule. It doesn't provide conditional execution capabilities based on data content and can't implement different processing paths based on runtime decisions.
Option D is INCORRECT. Cloud Tasks manages asynchronous execution of tasks but doesn't provide native support for conditional workflows based on data content. It's designed for distributing work rather than implementing decision logic to determine which processing path to take.
Discussion
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