Microsoft Azure Administrator Associate AZ-104 Practice Question
You need to deploy a compute-intensive application that processes data in parallel and must handle workload spikes efficiently. The application's workload varies significantly between peak and off-peak periods. Which strategy should you use to configure your Azure Container Instances deployment to meet performance requirements while minimizing costs?
Manually adjust the resource allocation of your container group before peak periods
Configure your container to use specialized hardware resources to accelerate processing
Set resource allocation to the maximum available to ensure peak performance at all times
Deploy multiple container instances during peak times and reduce the number during off-peak periods
To handle varying workloads efficiently and cost-effectively, you should deploy multiple container instances in parallel during peak times and scale down during off-peak periods in Azure Container Instances. This allows you to scale out to meet higher demand and scale in when demand is lower, ensuring you pay only for the resources you use.
Option A is incorrect because utilizing specialized hardware resources is only beneficial if the application is designed to leverage such hardware, which is not specified here. Option B is not practical because you cannot dynamically adjust the resource allocation of a running container group in Azure Container Instances; you would need to redeploy with new settings. Option D is inefficient as allocating maximum resources at all times leads to unnecessary costs during low-demand periods.
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Microsoft Azure Administrator Associate AZ-104
Deploy and manage Azure compute resources
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