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How can lifecycle management policies complement ADF for this task?

Spark/Big Datahard0.5 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Virtusa
Key Concepts Tested
optimizationpartition
Expert AnswerPremium
99 wordsInterview-ready
**Why it matters**: At scale, design choices directly impact reliability, latency, and cost. Wrong decisions compound across jobs and teams. Azure lifecycle management (blob storage): auto-tier (hot to cool to archive), delete old versions. Complements ADF by: (1) Reducing storage cost for old data; (2) ADF focuses on movement/transformation; lifecycle handles retention; (3) Tier before ADF reads to optimize cost....
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 Virtusa. The answer also includes follow-up discussion points that interviewers commonly explore.

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