AZ-900 Describe Azure architecture and services Practice Question
Which Azure service provides a fully managed platform for running containerized microservices with built-in traffic splitting for blue-green and canary deployments?
⚠ Common exam trap
Many candidates confuse Azure Kubernetes Service (AKS) as the only option for container orchestration and traffic splitting, overlooking that Azure Container Apps provides a fully managed, serverless alternative that handles traffic splitting natively without requiring Kubernetes management.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Container Apps
Azure Container Apps is a fully managed serverless platform specifically designed for running containerized microservices and applications. It natively supports advanced traffic management features like traffic splitting, which enables blue-green and canary deployment strategies without the complexity of managing an underlying Kubernetes cluster.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure Kubernetes Service
Why it's wrong here
Azure Kubernetes Service (AKS) does support blue-green and canary patterns, but these are not built-in platform features — you must manually configure ingress controllers (e.g., NGINX, Istio) or Service selectors to split traffic across application versions. This adds operational complexity and requires deep Kubernetes expertise, which contradicts the platform-managed simplicity the question rewards. Because AKS is a container orchestration service without native revision-weighting abstractions, it is not the intended answer.
- ✓
Azure Container Apps
Why this is correct
Azure Container Apps is a fully managed serverless container service with native revision management and built-in traffic splitting. Each revision represents a version of your application, and you can assign a percentage of incoming traffic to each active revision — for example, 90% to v1 and 10% to v2 — without any manual Kubernetes configuration or external ingress setup. This built-in weighted routing directly enables canary deployments, making Container Apps the correct answer.
- ✗
Azure App Service deployment slots
Why it's wrong here
Azure App Service deployment slots provide blue-green deployments: you deploy to a staging slot and swap it into production. However, the swap operation is atomic and all-or-nothing — there is no native fine-grained percentage-based traffic splitting between the production and staging slots. While you can implement gradual routing by manually adjusting slot assignments or using an external load balancer, that is not a built-in capability, so it fails the requirement for automatic canary traffic control.
- ✗
Azure Functions
Why it's wrong here
Azure Functions is a serverless compute service that executes individual functions in response to events; it has no built-in concept of revisions, deployment slots, or weighted traffic routing between function versions. To achieve canary or blue-green releases, you would have to route traffic externally using Azure Front Door, API Management, or custom logic. Its primary focus is on event-driven execution, not managed deployment traffic control, making it unsuitable for this scenario.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
Go deeper
Related to this question
Learn chapter
Azure Regions and Geographies
Key term
Container
A container is a lightweight, standalone software package that includes everything needed to run an application, such as code, runtime, system tools, and libraries.
Key term
Kubernetes cluster
A set of machines, called nodes, that work together to run and manage containerized applications using Kubernetes orchestration software.
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