Microsoft Azure Administrator Associate AZ-104 Practice Question
You are deploying a containerized application using Azure Container Instances. The application experiences varying workloads throughout the day. You need to ensure that the application can accommodate changing demand while optimizing costs. What should you do?
Enable auto-scaling within the Azure Container Instances settings
Increase the CPU and memory allocation for the container instances to handle peak loads
Implement automation to adjust the number of container instances based on demand
Migrate the application to a virtual machine with higher specifications
By implementing automation to adjust the number of container instances based on demand, you can dynamically scale your application in Azure Container Instances to handle varying workloads efficiently. This approach allows you to add or remove container instances as needed, optimizing resource usage and costs. Azure Container Instances do not support native auto-scaling features, so enabling auto-scaling in settings is not possible. Simply increasing CPU and memory allocation does not address fluctuating demand and may result in unnecessary costs during low-demand periods. Migrating the application to a virtual machine with higher specifications does not provide dynamic scaling and may increase management overhead.
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Microsoft Azure Administrator Associate AZ-104
Deploy and manage Azure compute resources
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