Core Azure Services
The compute, storage, networking, and database services AZ-900 expects you to know.
Theory
AZ-900 asks you to recognize the major Azure services by category:
- Compute: Virtual Machines (IaaS), App Service (PaaS web apps), Azure Functions (serverless), AKS (managed Kubernetes), Container Instances
- Storage: Blob (object), Files (SMB shares), Disks (VM storage), Queues
- Networking: Virtual Network (VNet), Load Balancer, VPN/ExpressRoute, Azure DNS
- Databases: Azure SQL Database, Cosmos DB (NoSQL, global), Database for PostgreSQL/MySQL
You don’t need deep configuration knowledge — just which service solves which problem and where it sits on the IaaS/PaaS spectrum.
Real-World Example
Scenario → Service
Run a lift-and-shift Windows app → Virtual Machine (IaaS)
Host a scalable web API, no servers → App Service (PaaS)
Process an image when uploaded → Azure Functions (serverless)
Store user uploads cheaply → Blob Storage
Global, low-latency NoSQL → Cosmos DB
Connect resources privately → Virtual Network Hands-On Exercise
- Match three workloads to the right compute service and justify each.
- Name the Azure storage type for object data, file shares, and VM disks.
- Explain when you’d choose App Service over a Virtual Machine.
- Draw the resource hierarchy from management group down to a resource.
Cheat Sheet▾
| Category | Services |
|---|---|
| Compute | VMs, App Service, Functions, AKS |
| Storage | Blob, Files, Disks, Queues |
| Networking | VNet, Load Balancer, VPN, DNS |
| Databases | Azure SQL, Cosmos DB, PostgreSQL |
| Hierarchy | Mgmt Group → Subscription → RG → Resource |
Common Interview Questions▾
When would you use App Service instead of a VM?
When you want to deploy a web app without managing the OS, patching, or scaling infrastructure — App Service (PaaS) handles that, while a VM (IaaS) gives full control at the cost of more management.
What is Azure Blob Storage for?
Storing large amounts of unstructured object data — images, backups, logs, static files — accessed over HTTP with tiered pricing for hot/cool/archive data.
Official Documentation
📝 My notes on this topic
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