Ensuring high availability and disaster recovery for your search service in Azure AI Search requires a combination of strategies. Replicating the search service across multiple regions provides redundancy and failover capabilities, ensuring that the service remains available even in the event of a regional outage. Enabling automatic backups and point-in-time recovery protects against data loss or corruption, allowing you to recover your data to a specific point in time if needed. Implementing a multi-tiered architecture with load balancers and traffic managers can distribute traffic and provide fault tolerance, ensuring that the search service can handle high traffic volumes and continue to operate in the event of a failure. All of these approaches can help you ensure high availability and disaster recovery for your search service in Azure AI Search.