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Answer: Deploy the AI service in multiple regions with geo-redundancy, implement load balancing and traffic management using Azure Traffic Manager, and define a clear disaster recovery plan.
Option C is the correct answer. Deploying the AI service in multiple regions with geo-redundancy ensures that the service can handle regional failures and maintain performance. Implementing load balancing and traffic management using Azure Traffic Manager helps distribute user requests efficiently across the available regions. Defining a clear disaster recovery plan enables you to quickly restore the AI service in the event of a disaster, minimizing downtime and ensuring business continuity.
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Your company is deploying a new Azure AI service that requires high availability and fault tolerance. What strategies should you implement to ensure the AI service can handle failures and maintain performance?
A
Deploy the AI service in a single region without any redundancy or backup mechanisms.
B
Deploy the AI service in multiple regions with geo-redundancy, but do not implement any load balancing or traffic management strategies.
C
Deploy the AI service in multiple regions with geo-redundancy, implement load balancing and traffic management using Azure Traffic Manager, and define a clear disaster recovery plan.
D
Disable all high availability and fault tolerance features, and rely on manual intervention to recover from failures.
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