Which three metrics can be viewed in graphs after creating an Azure Cognitive Search service without any other configuration?

The correct answer focuses on the key performance indicators that Azure Cognitive Search provides out of the box, enabling users to monitor the search service's operational efficacy immediately after setup.

Search latency is a critical metric as it reflects the time it takes for the system to respond to queries. This can significantly affect user experience, so it's vital to monitor it closely. Queries per second provides insight into the search service's usage and load, indicating how well it handles user requests at any given time. The percentage of throttled queries is an essential metric for understanding when the service reaches its limits, helping to identify potential scaling needs or performance bottlenecks.

These metrics allow administrators to assess the performance of the search service without additional configuration, ensuring they have immediate access to essential insights that inform operational decisions and scaling requirements. This set of metrics is fundamental to maintaining quality search user experiences and optimizing the functionality of Azure Cognitive Search.