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Gemini Cloud Assist Cloud Sql Troubleshooting Prerequisites

Section: Leveraging AI to assist with development and operations (e.g., Gemini Code Assist, Gemini Cloud Assist, Gemini CLI)

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A DevOps team is troubleshooting intermittent performance bottlenecks and latency spikes on a production Cloud SQL for PostgreSQL database hosting a critical microservice. The lead engineer intends to use conversational AI in the Google Cloud console via Gemini Cloud Assist to diagnose query latency, detect query anomalies, and receive index and configuration recommendations.

However, upon opening the Cloud SQL monitoring dashboards and the Gemini Cloud Assist panel, the engineer observes that AI-assisted troubleshooting insights and query anomaly detection are unavailable for this database instance.

Which configuration state explains why AI-assisted troubleshooting and query anomaly detection cannot be utilized on this instance?

The database instance has Query Insights and client-side query application tracing enabled via OpenTelemetry.

The database instance resides in a regional deployment with automated daily backups and continuous point-in-time recovery (PITR) enabled.

The database instance is configured to use Cloud Monitoring and Google Cloud Managed Service for Prometheus to collect database telemetry.

The database instance is provisioned using the Cloud SQL Enterprise edition rather than the Cloud SQL Enterprise Plus edition.

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Gemini Cloud Assist Cloud Sql Troubleshooting Prerequisites

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