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Home/Questions/Cloud/Tools/Copy Large Files from On-Premises to Azure in ADF

Copy Large Files from On-Premises to Azure in ADF

Cloud/Toolsmedium0.7 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

Why it matters: On-prem to cloud bulk transfer is a common hybrid pattern; poor design causes WAN bottlenecks, cost overruns, and failed SLAs. Architectural logic: Use SHIR as a bridge—it runs in your network, so latency stays within the LAN for the source leg. Azure IR cannot...

🤖 Analyze Your Answer
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
Presidio
Interview Pro Tip

Red Flag: Saying you'd use Azure IR for on-prem sources—shows no hybrid experience. Pro-Move: 'We ran SHIR on a 4-vCPU VM, staged to Blob, and used PolyBase for Synapse—500GB in 4 hours at $0.02/GB egress.'

Key Concepts Tested
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Why This Question Matters

This medium-level Cloud/Tools question appears frequently in data engineering interviews at companies like Presidio. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (window) will help you answer variations of this question confidently.

How to Approach This

Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.

Expert Answer
140 words

Why it matters: On-prem to cloud bulk transfer is a common hybrid pattern; poor design causes WAN bottlenecks, cost overruns, and failed SLAs. Architectural logic: Use SHIR as a bridge—it runs in your network, so latency stays within the LAN for the source leg. Azure IR cannot reach on-prem; SHIR is mandatory. Scalability trade-offs: parallelCopies (default 4, max 256 for cloud, hardware-limited for SHIR) multiplied by DIUs drives throughput. Over-provisioning SHIR CPUs wastes money; under-provisioning extends transfer windows. Cost implications: SHIR on a dedicated VM adds ~$150–400/mo; staging to Blob before loading reduces egress from SHIR and enables PolyBase bulk load (fewer round-trips). For 500GB: parallelCopies 32, DIUs 32, staging in Blob—expect 2–6 hours depending on WAN bandwidth. Pro-tip: Compress at source when WAN is the bottleneck; monitor SHIR CPU—sustained >80% means add nodes or reduce parallelism to avoid timeouts.

⚡
Pro Tip

Red Flag: Saying you'd use Azure IR for on-prem sources—shows no hybrid experience. Pro-Move: 'We ran SHIR on a 4-vCPU VM, staged to Blob, and used PolyBase for Synapse—500GB in 4 hours at $0.02/GB egress.'

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According to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools interview questions, reported at 1 company. DataEngPrep.tech maintains an editor-reviewed database of 1,863 data engineering interview questions across 7 categories.

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