You collect metrics for an Azure Kubernetes Service (AKS) cluster (AKS1) using the Azure Monitor managed service for Prometheus. Which query language should you use to analyze AKS1 performance?
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Correct answer: PromQL.
Why this is the answer
PromQL (Prometheus Query Language) is the correct choice because it is the native query language for Prometheus, and Azure Monitor's managed service for Prometheus uses Prometheus as its backend. Therefore, to analyze metrics collected by this service, PromQL is the appropriate and most efficient language. PL/SQL is a procedural extension for SQL databases and is unrelated to Prometheus. SparkQL is a query language for Apache Spark, used for big data processing, not Prometheus metrics. KQL (Kusto Query Language) is used for querying data in Azure Data Explorer and Azure Monitor Logs, but not directly for Prometheus metrics within the managed Prometheus service.
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