Microsoft Azure Administrator Associate AZ-104 Practice Question

To handle varying workloads efficiently and cost-effectively in Azure Container Instances, the correct strategy is to deploy multiple container instances in parallel during peak times and scale down by reducing the number of instances during off-peak periods. This horizontal scaling approach (scaling out and in) ensures that you can meet high demand while minimizing costs by only paying for the resources you use.

• Manually adjusting the resource allocation (CPU or memory) of a running container group is not a valid strategy because these resources cannot be changed for a running container group. To change them, you must delete the container group and redeploy it with the new configuration.
• Utilizing specialized hardware resources, like GPUs, is beneficial only for specific compute-intensive tasks and is not the most cost-effective strategy for handling variable workloads, as the expensive hardware would be underutilized during off-peak times.
• Allocating maximum resources at all times would meet performance requirements but would be highly inefficient and lead to unnecessary costs during periods of low demand.