In this section, you'll learn how Microsoft Sentinel connects to security data sources and uses built-in content and detection capabilities to support security operations. You'll begin by exploring data connectors and how they enable Sentinel to collect security data from different sources. As you progress, you'll explore built-in connectors and gain practical experience installing and configuring them. You'll also learn about the Content Hub and how it provides ready-to-use security content for monitoring and threat detection. The section further introduces custom detection rules and security incident investigation through practical demonstrations, helping you understand how Sentinel can identify potential threats and support effective incident response. By the end of this section, you'll have a solid understanding of Microsoft Sentinel data connectors, Content Hub, custom detection, and incident investigation, enabling you to optimize security operations more effectively.

In this section, you'll build practical skills in using Kusto Query Language (KQL) and analytics rules in Microsoft Sentinel for security monitoring and threat detection. You'll begin by exploring the basics of KQL syntax and key commands used to filter and join tables. As you progress, you'll learn how KQL is specifically used in Microsoft Sentinel to query and analyze security data. You'll also gain hands-on experience through a KQL demonstration, helping you apply queries to investigate and identify relevant security information. The section further introduces analytics rules and how they help detect potential threats and generate security incidents. You'll explore analytics rule concepts and see how they can be configured through a practical demonstration. By the end of this section, you'll have a solid understanding of KQL and analytics rules, enabling you to query security data and support effective threat detection in Microsoft Sentinel.

In this section, you'll develop practical skills in investigating security incidents, using threat intelligence, and automating security operations with Microsoft Sentinel. You'll begin by learning how to investigate incidents, entities, and timelines to understand security events and identify potential threats. As you progress, you'll explore STIX/TAXII feeds and learn how to connect threat intelligence sources to Microsoft Sentinel. You'll also be introduced to playbooks using Azure Logic Apps and learn how to trigger automated workflows based on security alerts. The section further explores use cases for automated remediation and built-in anomaly detection features that can help identify suspicious activities and streamline incident response. You'll also review key exam tips to reinforce the concepts covered in this module. By the end of this section, you'll have a solid understanding of incident investigation, threat intelligence integration, playbooks, automated remediation, and anomaly detection in Microsoft Sentinel, enabling you to support faster and more effective security operations.