Microsoft Security Operations Analyst (SC-200)

Module 1: Mitigate threats using Microsoft Defender for Endpoint

Implement the Microsoft Defender for Endpoint platform to detect, investigate, and respond to advanced threats. Learn how Microsoft Defender for Endpoint can help your organization stay secure. Learn how to deploy the Microsoft Defender for Endpoint environment, including onboarding devices and configuring security. Learn how to investigate incidents and alerts using Microsoft Defender for Endpoints. Perform advanced hunting and consult with threat experts. You will also learn how to configure automation in Microsoft Defender for Endpoint by managing environmental settings.. Lastly, you will learn about your environment’s weaknesses by using Threat and Vulnerability Management in Microsoft Defender for Endpoint.

After completing module 1, you will be able to:

• Define the capabilities of Microsoft Defender for Endpoint
• Configure Microsoft Defender for Endpoint environment settings
• Configure Attack Surface Reduction rules on Windows 10 devices
• Investigate alerts in Microsoft Defender for Endpoint
• Describe device forensics information collected by Microsoft Defender for Endpoint
• Conduct forensics data collection using Microsoft Defender for Endpoint
• Investigate user accounts in Microsoft Defender for Endpoint
• Manage automation settings in Microsoft Defender for Endpoint
• Manage indicators in Microsoft Defender for Endpoint
• Describe Threat and Vulnerability Management in Microsoft Defender for Endpoint

Module 2: Mitigate threats using Microsoft 365 Defender

Analyze threat data across domains and rapidly remediate threats with built-in orchestration and automation in Microsoft 365 Defender. Learn about cybersecurity threats and how the new threat protection tools from Microsoft protect your organization’s users, devices, and data. Use the advanced detection and remediation of identity-based threats to protect your Azure Active Directory identities and applications from compromise.

After completing module 2, you will be able to:

• Explain how the threat landscape is evolving.
• Manage incidents in Microsoft 365 Defender
• Conduct advanced hunting in Microsoft 365 Defender
• Describe the investigation and remediation features of Azure Active Directory Identity Protection.
• Define the capabilities of Microsoft Defender for Endpoint.
• Explain how Microsoft Defender for Endpoint can remediate risks in your environment.
• Define the Cloud App Security framework
• Explain how Cloud Discovery helps you see what’s going on in your organization

Module 3: Mitigate threats using Azure Defender

Use Azure Defender integrated with Azure Security Center, for Azure, hybrid cloud, and on-premises workload protection and security. Learn the purpose of Azure Defender, Azure Defender’s relationship to Azure Security Center, and how to enable Azure Defender. You will also learn about the protections and detections provided by Azure Defender for each cloud workload. Learn how you can add Azure Defender capabilities to your hybrid environment.

After completing module 3, students will be able to:

• Describe Azure Defender features
• Explain Azure Security Center features
• Explain which workloads are protected by Azure Defender
• Explain how Azure Defender protections function
• Configure auto-provisioning in Azure Defender
• Describe manual provisioning in Azure Defender
• Connect non-Azure machines to Azure Defender
• Describe alerts in Azure Defender
• Remediate alerts in Azure Defender
• Automate responses in Azure Defender

Module 4: Create queries for Azure Sentinel using Kusto Query Language (KQL)

Write Kusto Query Language (KQL) statements to query log data to perform detections, analysis, and reporting in Azure Sentinel. This module will focus on the most used operators. The example KQL statements will showcase security related table queries. KQL is the query language used to perform analysis on data to create analytics, workbooks, and perform hunting in Azure Sentinel. Learn how basic KQL statement structure provides the foundation to build more complex statements. Learn how to summarize and visualize data with a KQL statement provides the foundation to build detections in Azure Sentinel. Learn how to use the Kusto Query Language (KQL) to manipulate string data ingested from log sources.

After completing module 4, students will be able to:

• Construct KQL statements
• Search log files for security events using KQL
• Filter searches based on event time, severity, domain, and other relevant data using KQL
• Summarize data using KQL statements
• Render visualizations using KQL statements
• Extract data from unstructured string fields using KQL
• Extract data from structured string data using KQL
• Create Functions using KQL

Module 5: Configure your Azure Sentinel environment

Get started with Azure Sentinel by properly configuring the Azure Sentinel workspace. Traditional security information and event management (SIEM) systems typically take a long time to set up and configure. They’re also not necessarily designed with cloud workloads in mind. Azure Sentinel enables you to start getting valuable security insights from your cloud and on-premises data quickly. This module helps you get started. Learn about the architecture of Azure Sentinel workspaces to ensure you configure your system to meet your organization’s security operations requirements. As a Security Operations Analyst, you must understand the tables, fields, and data ingested in your workspace. Learn how to query the most used data tables in Azure Sentinel.

After completing module 5, students will be able to:

• Identify the various components and functionality of Azure Sentinel.
• Identify use cases where Azure Sentinel would be a good solution.
• Describe Azure Sentinel workspace architecture
• Install Azure Sentinel workspace
• Manage an Azure Sentinel workspace
• Create a watchlist in Azure Sentinel
• Use KQL to access the watchlist in Azure Sentinel
• Manage threat indicators in Azure Sentinel
• Use KQL to access threat indicators in Azure Sentinel

Module 6: Connect logs to Azure Sentinel

Connect data at cloud scale across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds to Azure Sentinel. The primary approach to connect log data is using the Azure Sentinel provided data connectors. This module provides an overview of the available data connectors. You will get to learn about the configuration options and data provided by Azure Sentinel connectors for Microsoft 365 Defender.

After completing module 6, students will be able to:

• Explain the use of data connectors in Azure Sentinel
• Explain the Common Event Format and Syslog connector differences in Azure Sentinel
• Connect Microsoft service connectors
• Explain how connectors auto-create incidents in Azure Sentinel
• Activate the Microsoft 365 Defender connector in Azure Sentinel
• Connect Azure Windows Virtual Machines to Azure Sentinel
• Connect non-Azure Windows hosts to Azure Sentinel
• Configure Log Analytics agent to collect Sysmon events
• Explain the Common Event Format connector deployment options in Azure Sentinel
• Configure the TAXII connector in Azure Sentinel
• View threat indicators in Azure Sentinel

Module 7: Create detections and perform investigations using Azure Sentinel

Detect previously uncovered threats and rapidly remediate threats with built-in orchestration and automation in Azure Sentinel. You will learn how to create Azure Sentinel playbooks to respond to security threats. You’ll investigate Azure Sentinel incident management, learn about Azure Sentinel events and entities, and discover ways to resolve incidents. You will also learn how to query, visualize, and monitor data in Azure Sentinel.

After completing module 7, students will be able to:

• Explain the importance of Azure Sentinel Analytics.
• Create rules from templates.
• Manage rules with modifications.
• Explain Azure Sentinel SOAR capabilities.
• Create a playbook to automate an incident response.
• Investigate and manage incident resolution.
• Explain User and Entity Behavior Analytics in Azure Sentinel
• Explore entities in Azure Sentinel
• Visualize security data using Azure Sentinel Workbooks.

Module 8: Perform threat hunting in Azure Sentinel

In this module, you’ll learn to proactively identify threat behaviors by using Azure Sentinel queries. You’ll also learn to use bookmarks and livestream to hunt threats. You will also learn how to use notebooks in Azure Sentinel for advanced hunting.