Microsoft Azure Administrator Associate AZ-104 Practice Question
You are deploying a batch processing application using Azure Container Instances. The application experiences periods of high demand for computational resources throughout the day. How should you configure the container instances to optimize both performance and cost?
Host the containers on an Azure Virtual Machine Scale Set
Adjust the resource allocation settings to match the application's peak performance requirements
Deploy the containers using the default resource settings
Create multiple groups of containers to distribute the workload
By adjusting the resource allocation settings to match the application's peak performance requirements, you ensure that the containers have sufficient computational power when needed without unnecessary costs during low-demand periods. Deploying containers with default resource settings may not provide adequate performance, leading to potential slowdowns. Using multiple container groups or setting up a Virtual Machine Scale Set adds complexity and may not be the most cost-effective solution for this scenario.
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What does 'adjusting resource allocation settings' mean in Azure Container Instances?
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Why is Azure Virtual Machine Scale Set not ideal for this scenario?
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How do multiple container groups differ from adjusting resource allocation for one group?
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Microsoft Azure Administrator Associate AZ-104
Deploy and manage Azure compute resources
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