Reviewed by Aditya Kumar · Last reviewed 2026-03-24
**Why IR type matters**: Data lives in different places; IR is the compute that moves and transforms it. **Azure IR**: Managed, serverless. For cloud-to-cloud (Azure SQL, Blob, ADLS). Auto-scales; zero maintenance. Use by default. **Self-Hosted IR**: Runs on-prem or in your...
This easy-level Cloud/Tools question appears frequently in data engineering interviews at companies like Nihilent. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (sql) will help you answer variations of this question confidently.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
Why IR type matters: Data lives in different places; IR is the compute that moves and transforms it. Azure IR: Managed, serverless. For cloud-to-cloud (Azure SQL, Blob, ADLS). Auto-scales; zero maintenance. Use by default. Self-Hosted IR: Runs on-prem or in your VNet. For accessing on-prem SQL, file shares, or private endpoints. You manage VM, updates, scaling. Azure-SSIS IR: Hosts SQL Server Integration Services. For lifting existing SSIS packages. Decision framework: Use Azure IR when source/sink are in cloud. Use SHIR only when data is on-prem or in private network. Use SSIS IR when migrating legacy SSIS workloads. Scalability: Azure IR scales elastically; SHIR scales by adding nodes. Cost: Azure IR pay-per-use; SHIR = VM cost; SSIS IR = VM cost for package execution. Best practice: Prefer Azure IR; SHIR only when necessary; plan SSIS migration to ADF native activities over time.
Pro-Move: 'We migrated 50 SSIS packages to ADF Copy/Data Flow—reduced maintenance and cost; kept 2 complex SSIS packages on SSIS IR during transition.' Red Flag: Using SHIR for cloud-to-cloud—unnecessary cost and operational burden.
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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.