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Answer: Implement auto-scaling based on CPU utilization and configure scaling policies to scale the AI service up or down based on demand.
Option C is the correct answer. Implementing auto-scaling based on CPU utilization allows the AI service to automatically adjust its resource allocation based on actual workload demand. Configuring scaling policies to scale the AI service up or down based on demand ensures efficient resource utilization and cost-effectiveness. This approach helps maintain performance during periods of high demand while optimizing costs during periods of low demand.
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You are responsible for managing the scalability of an Azure AI service. The service experiences variable workloads, with periods of high demand followed by periods of low demand. What strategies can you employ to ensure the AI service can scale efficiently and cost-effectively?
A
Provision a fixed number of AI resources regardless of workload demand and do not implement any scaling mechanisms.
B
Manually scale the AI service up or down based on workload demand, but do not implement any automation or auto-scaling mechanisms.
C
Implement auto-scaling based on CPU utilization and configure scaling policies to scale the AI service up or down based on demand.
D
Implement auto-scaling based on a fixed schedule regardless of actual workload demand, and ignore any performance metrics or cost implications.
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