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ADF Optimization Techniques?

Cloud/Toolshard0.6 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Deloitte
Interview Pro Tip

Red Flag: 'Just increase DIU' without profiling. Pro-Move: 'We profiled—staging + partition parallelism cut our 10TB load from 4 hours to 45 min at same DIU; saved $X/month.'

Key Concepts Tested
optimizationpartitionspark
Expert AnswerPremium
117 wordsInterview-ready
Why optimize: ADF costs scale with DIU (Data Integration Units) and runtime; unoptimized pipelines waste budget and miss SLAs. Architectural logic: (1) Mapping data flows run on Spark—use for complex transforms; they scale horizontally. (2) DIU slider—increase for heavy workloads; trade-off: higher DIU = higher cost per hour. (3) Partition sources/sinks—enables parallelism; small partition counts = underutilized clusters....
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 Deloitte. The answer also includes follow-up discussion points that interviewers commonly explore.

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