Microsoft Sentinel Practice Exam

Microsoft Sentinel Practice Exam

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.)
• Custom log ingestion

4. Security Analytics and Threat Detection

• Creating analytics rules
• Understanding MITRE ATT&CK mapping
• Building custom detections

5. Incident Management

• Creating and managing incidents
• Investigating incidents with entity mapping
• Alert grouping and suppression

6. Automation and SOAR Capabilities

• Logic Apps for playbooks
• Automated response actions
• Creating custom automation workflows

7. Kusto Query Language (KQL) for Analysis

• Basic KQL syntax and queries
• Filters, joins, and visualizations
• Building queries for use in analytics rules

8. Dashboards and Workbooks

• Prebuilt Sentinel dashboards
• Creating custom workbooks
• Visualizing key metrics and trends

9. Integration with Microsoft Security Tools

• Microsoft Defender XDR integration
• Azure Security Center and Lighthouse
• API and external tool integration

10. Monitoring, Compliance, and Governance

• Continuous threat hunting
• Compliance reporting
• Best practices for secure operations