Microsoft Azure Architect Design (AZ-301) Practice Exam 2025 - Free Azure Architect Practice Questions and Study Guide

The approach to ensuring that an application can scale according to demand in Azure involves utilizing Azure Autoscale. This feature is specifically designed to automatically adjust the number of resources allocated to your application based on varying workloads. Autoscale monitors metrics such as CPU usage, memory utilization, and request count, and based on pre-defined rules, it can dynamically increase or decrease resources. This means that during times of high demand, more instances of your application can be spun up, while during low demand, resources can be scaled down to optimize costs. This automatic response to real-time dynamics is critical for maintaining application performance and ensuring cost-effectiveness.

While Azure Virtual Machines can be a part of a scalable solution, by themselves they do not inherently provide the capability for automatic scaling. Similarly, Azure Scale Sets can be used to manage multiple Virtual Machines as a single resource group, allowing for scaling, but they still require manual configuration and management of scaling policies. Utilizing Azure CDN is more about improving content delivery speed and reducing latency for web applications rather than directly managing application scalability based on demand. Thus, Azure Autoscale stands out as the most direct and effective solution for ensuring scalability in response to demand.