Azure
Azure Data Factory
Pipeline orchestration and linked services.
Azure Data Engineer interview prep — recommended services, cloud concepts, and practice questions.
8+
Questions
Medium
Difficulty
2–3 weeks
Prep time
for 2026
Updated
Difficulty: Easy
Representative interview simulation — practice with AI feedback on InterviewForge AI.
Difficulty: Medium
Representative interview simulation — practice with AI feedback on InterviewForge AI.
Difficulty: Hard
Representative interview simulation — practice with AI feedback on InterviewForge AI.
Pick a path to open interview questions, scenario drills, and AI mock interviews for this cloud topic.
Azure
Pipeline orchestration and linked services.
Azure
Dedicated SQL pools, Spark pools, and pipelines.
Azure
Delta Lake, Unity Catalog, and Spark jobs on Azure.
Azure
Streaming ingestion and partition scaling.
Azure
Hot/cool/archive tiers and lifecycle rules.
Azure
Multi-model NoSQL, RU sizing, and consistency levels.
Focus on Azure services that match Data Engineer job descriptions, plus cross-cutting IAM, networking, and observability.
Step 1
Foundation
Azure IAM, VPC/networking, and observability basics for Data Engineer loops.
Step 2
Core services
Deep dive: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Event Hubs.
Step 3
System design
Practice one end-to-end architecture whiteboard per week with cost and failure analysis.
Step 4
Mock loop
Run AI mock interviews with follow-ups until you can explain trade-offs without notes.
Run a timed AI mock interview focused on Azure — architecture trade-offs, failure modes, and production judgment.
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