Microsoft Azure Architect Design (AZ-304) Practice Test

Which platform is recommended to host a containerized Python Django app that requires autoscaling and Azure Active Directory authentication?

1. Azure Container Instances

2. An Azure App Service instance that uses containers

3. Azure Kubernetes Service (AKS)

4. Azure Functions

The correct answer is: Azure Kubernetes Service (AKS)

Hosting a containerized Python Django application that requires autoscaling and Azure Active Directory authentication is best suited for Azure Kubernetes Service (AKS). AKS provides robust features for managing containers at scale, allowing for the orchestration of containerized applications using Kubernetes. This environment is particularly well-suited for applications that need dynamic scaling based on demand, which ensures that performance is maintained during peak usage times. Moreover, AKS integrates well with Azure Active Directory, enabling seamless authentication and secure user management for applications. It allows developers to leverage Kubernetes' advanced routing, load balancing, and resource management capabilities, making it an excellent choice for complex applications that can benefit from microservices architecture. Other hosting options may not provide the same level of scalability or integrated Azure Active Directory support. For instance, Azure Container Instances are more suited for simple container applications without the need for advanced orchestration and autoscaling capabilities. Azure App Service can host containerized applications and provides built-in support for Azure Active Directory, but it doesn't offer the same level of control and flexibility as AKS for dynamic scaling and managing complex application workflows. Azure Functions is designed for event-driven, serverless architectures rather than full-fledged web applications like a Django app and is not optimal for applications needing persistent state and complex routing