Azure
Azure Event Hubs
Streaming ingestion and partition scaling.
Azure Backend Engineer interview prep — recommended services, cloud concepts, and practice questions.
8+
Questions
Medium
Difficulty
2 weeks
Prep time
for 2026
Updated
Difficulty: Hard
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
Streaming ingestion and partition scaling.
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Hot/cool/archive tiers and lifecycle rules.
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Multi-model NoSQL, RU sizing, and consistency levels.
Azure
Serverless triggers, bindings, and cold starts.
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Workflow automation and connectors.
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Queues, topics, and dead-letter handling.
Focus on Azure services that match Backend Engineer job descriptions, plus cross-cutting IAM, networking, and observability.
Step 1
Foundation
Azure IAM, VPC/networking, and observability basics for Backend Engineer loops.
Step 2
Core services
Deep dive: Azure Event Hubs, Azure Blob Storage, Azure Cosmos DB, Azure Functions.
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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