Microsoft Sentinel is a cloud-based security tool that helps protect an organization’s digital systems and data. It works by collecting information from different sources, like computers, servers, and apps, and then uses artificial intelligence to spot anything unusual that could be a cyber threat. It acts like a digital security guard, constantly watching for suspicious activity.
This tool helps security teams respond quickly to possible threats and even automates some tasks to save time. Because it runs in the cloud, it can scale easily for businesses of all sizes. Microsoft Sentinel gives a complete view of what’s happening across your network, helping companies detect and stop cyberattacks before they cause harm.
Who should take the Exam?
This exam is ideal for:
Security analysts and engineers
SOC (Security Operations Center) professionals
Cloud security architects
IT administrators and systems engineers
Cybersecurity consultants
Azure security specialists
Professionals transitioning to cloud-based security platforms
Anyone responsible for enterprise security monitoring and incident response
Skills Required
Basic understanding of Azure services
Familiarity with cybersecurity principles
Knowledge of security logging and monitoring
Analytical and problem-solving skills
Basic scripting or query experience (e.g., KQL) is helpful but not mandatory
Knowledge Gained
Deploying and configuring Microsoft Sentinel
Connecting data sources and setting up log ingestion
Using Kusto Query Language (KQL) to analyze logs
Building detection rules and setting up alerts
Automating incident responses
Integrating with Microsoft Defender and third-party tools
Monitoring security from a single cloud-native platform
Course Outline
The Microsoft Sentinel Exam covers the following topics -
1. Introduction to Microsoft Sentinel
What is SIEM and SOAR?
Sentinel architecture overview
Use cases and benefits
2. Setting Up Sentinel
Provisioning Sentinel in Azure
Role-based access control (RBAC)
Connecting data sources (Azure and non-Azure)
3. Ingesting and Managing Data
Log Analytics Workspace setup
Data connectors (Microsoft 365, AWS, firewalls, etc.)