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LABINTERMEDIATE

Log Analytics, Diagnostic Settings, and KQL Troubleshooting

Create a Log Analytics workspace, wire a diagnostic setting, and write a realistic set of KQL queries (Heartbeat, AzureActivity, AzureDiagnostics) whose structure is validated against the expected sample table names.

60 minutes
cloud/azure
Log Analytics, Diagnostic Settings, and KQL Troubleshooting - Platform Engineering Hands-On Lab Icon
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Lab Overview

Practice the Azure Monitor and Log Analytics skills that administrators use to investigate problems.

You will create a Log Analytics workspace in an approved Azure region and connect a diagnostic setting that streams platform logs into it. Because workspace ingestion latency is unpredictable (often several minutes), the gradeable KQL work validates each query's structure against the expected sample table names. You will author and save reusable Kusto Query Language (.kql) files covering Heartbeat health checks, Activity Log auditing, and resource diagnostic troubleshooting patterns, then verify your query structure locally before comparing the workspace in the Azure portal.

What You'll Learn

Prepare an Azure CLI workspace for Log Analytics operations

Create a Log Analytics workspace using an allowed Azure region

Configure a diagnostic setting that sends platform logs to the workspace

Write Heartbeat and AzureActivity KQL queries for health and audit investigation

Write AzureDiagnostics troubleshooting KQL queries and validate their structure against the expected sample table names

Prerequisites

Basic command line familiarity

Basic understanding of Azure resource groups and Azure Monitor

Basic Linux shell experience

Technologies Covered

azureaz-104azure-monitorlog-analyticskqldiagnostic-settings

Part of a Course

This lab is part of the Microsoft Azure Administrator (AZ-104) course

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