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Answer: Allocate sufficient resources based on expected load, implement load balancing, and perform continuous performance tuning.
Allocating sufficient resources based on expected load ensures the resource can handle high throughput. Implementing load balancing helps in distributing the load evenly. Performing continuous performance tuning improves the overall latency and throughput of the resource.
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You are tasked with provisioning an Azure OpenAI Service resource for a real-time data processing application. Describe the steps you would take to ensure the resource is optimized for low latency and high throughput. Include considerations for resource allocation, load balancing, and performance tuning.
A
Allocate minimal resources, ignore load balancing, and do not perform any performance tuning.
B
Allocate sufficient resources based on expected load, implement load balancing, and perform continuous performance tuning.
C
Allocate random resources, ignore load balancing, and avoid any performance tuning.
D
Ignore resource allocation, submit complex requests, and avoid any performance tuning.
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