Why choose: Different abstraction levels—code vs. workflow. Functions: code-first, serverless; custom logic, APIs, event-driven. Logic Apps: low-code, 400+ connectors; designer-driven. When Functions: complex transforms, code reuse, fine-grained control. When Logic Apps: orchestration with minimal code, SaaS integration, non-devs modifying flows. Scalability: Functions scale with demand; Logic Apps have execution limits (e.g., 90-day run history)....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Comcast. The answer also includes follow-up discussion points that interviewers commonly explore.
Continue Reading the Full Answer
Unlock the complete expert answer with code examples, trade-offs, and pro tips - plus 1,863+ more.
Or upgrade to Platform Pro - $39
Engineers who used these answers got offers at
AmazonDatabricksSnowflakeGoogleMeta
According to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.