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?
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Adjust the resource allocation settings to match the application's peak performance requirements
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Host the containers on an Azure Virtual Machine Scale Set
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Deploy the containers using the default resource settings
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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 are resource allocation settings in Azure Container Instances?
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How does adjusting resource allocation affect costs in Azure?
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What are Azure Virtual Machine Scale Sets and why might they not be the best option for batch processing?
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Microsoft Azure Administrator Associate AZ-104
Deploy and manage Azure compute resources
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