Microsoft Security Operations Analyst

Course ID: SC-200T00
Duration: 4 Days
Training Fee: HK$14000
Private in-house training

Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. Call us at +852 2116 3328 or email us at [email protected] for more details.

What are the skills covered

After completing this module, students will be able to:

  •  Explain how Microsoft Defender for Endpoint can remediate risks in your environment
  •  Create a Microsoft Defender for Endpoint environment
  •  Configure Attack Surface Reduction rules on Windows 10 devices
  •  Perform actions on a device using Microsoft Defender for Endpoint
  •  Investigate domains and IP addresses in Microsoft Defender for Endpoint
Course Modules

Module 1: Introduction to Microsoft 365 threat protection

In this module, you’ll learn how to use the Microsoft 365 Defender integrated threat protection suite.

Learning objectives

In this module, you learned the role that Microsoft 365 Defender plays in a modern SOC. You should now be able to:

  • Understand Microsoft 365 Defender solution by domain
  • Understand Microsoft 365 Defender role in a Modern SOC

 

Module 2: Mitigate incidents using Microsoft 365 Defender

Learn how the Microsoft 365 Defender portal provides a unified view of incidents from the Microsoft 365 Defender family of products.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Manage incidents in Microsoft 365 Defender
  • Investigate incidents in Microsoft 365 Defender
  • Conduct advanced hunting in Microsoft 365 Defender

Prerequisites

Intermediate understanding of Microsoft 365.

 

Module 3: Protect your identities with Azure AD Identity Protection

Use the advanced detection and remediation of identity-based threats to protect your Azure Active Directory identities and applications from compromise.

Learning objectives

In this module, you will:

  • Describe the features of Azure Active Directory Identity Protection.
  • Describe the investigation and remediation features of Azure Active Directory Identity Protection.

Prerequisites

  • Basic familiarity with Azure Active Directory

 

Module 4: Remediate risks with Microsoft Defender for Office 365

Learn about the Microsoft Defender for Office 365 component of Microsoft 365 Defender.

Learning objectives

In this module, you will learn how to:

  • Define the capabilities of Microsoft Defender for Office 365.
  • Understand how to simulate attacks within your network.
  • Explain how Microsoft Defender for Office 365 can remediate risks in your environment.

Prerequisites

  • Intermediate understanding of Microsoft 365

 

Module 5: Safeguard your environment with Microsoft Defender for Identity

Learn about the Microsoft Defender for Identity component of Microsoft 365 Defender.

Learning objectives

Upon completion of this module, you should be able to:

  • Define the capabilities of Microsoft Defender for Identity.
  • Understand how to configure Microsoft Defender for Identity sensors.
  • Explain how Microsoft Defender for Identity can remediate risks in your environment.

Prerequisites

  • Intermediate understanding of Microsoft 365

 

Module 6: Secure your cloud apps and services with Microsoft Defender for Cloud Apps

Microsoft Defender for Cloud Apps is a cloud access security broker (CASB) that operates on multiple clouds. It provides rich visibility, control over data travel, and sophisticated analytics to identify and combat cyberthreats across all your cloud services. Learn how to use Defender for Cloud Apps in your organization.

Learning objectives

At the end of this module, you should be able to:

  • Define the Defender for Cloud Apps framework
  • Explain how Cloud Discovery helps you see what’s going on in your organization
  • Understand how to use Conditional Access App Control policies to control access to the apps in your organization

 

Module 7: Respond to data loss prevention alerts using Microsoft 365

As a Security Operations Analyst, you need to understand compliance related terminology and alerts. Learn how the data loss prevention alerts will help in your investigation to find the full scope of the incident.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Describe data loss prevention (DLP) components in Microsoft 365
  • Investigate DLP alerts in the Microsoft Purview compliance portal
  • Investigate DLP alerts in Microsoft Defender for Cloud Apps

Prerequisites

Intermediate understanding of Microsoft 365.

 

Module 8: Manage insider risk in Microsoft Purview

Microsoft Purview Insider Risk Management helps organizations address internal risks, such as IP theft, fraud, and sabotage. Learn about insider risk management and how Microsoft technologies can help you detect, investigate, and take action on risky activities in your organization.

Learning objectives

Upon completion of this module, you should be able to:

  • Explain how Microsoft Purview Insider Risk Management can help prevent, detect, and contain internal risks in an organization.
  • Describe the types of built-in, pre-defined policy templates.
  • List the prerequisites that need to be met before creating insider risk policies.
  • Explain the types of actions you can take on an insider risk management case.

Prerequisites

  • Cloud computing concepts
  • Microsoft 365 product and services

 

Module 9: Protect against threats with Microsoft Defender for Endpoint

Learn how Microsoft Defender for Endpoint can help your organization stay secure.

Learning objectives

In this module, you will learn how to:

  • Define the capabilities of Microsoft Defender for Endpoint.
  • Understand how to hunt threats within your network.
  • Explain how Microsoft Defender for Endpoint can remediate risks in your environment.

Prerequisites

  • Intermediate understanding of Microsoft 365

 

Module 10: Deploy the Microsoft Defender for Endpoint environment

Learn how to deploy the Microsoft Defender for Endpoint environment, including onboarding devices and configuring security.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Create a Microsoft Defender for Endpoint environment
  • Onboard devices to be monitored by Microsoft Defender for Endpoint
  • Configure Microsoft Defender for Endpoint environment settings

Prerequisites

Basic understanding of Microsoft 365.

 

Module 11: Implement Windows security enhancements with Microsoft Defender for Endpoint

Microsoft Defender for Endpoint gives you various tools to eliminate risks by reducing the surface area for attacks without blocking user productivity. Learn about Attack Surface Reduction (ASR) with Microsoft Defender for Endpoint.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Explain Attack Surface Reduction in Windows
  • Enable Attack Surface Reduction rules on Windows 10 devices
  • Configure Attack Surface Reduction rules on Windows 10 devices

Prerequisites

Intermediate understanding of Windows 10.

 

Module 12: Perform device investigations in Microsoft Defender for Endpoint

Microsoft Defender for Endpoint provides detailed device information, including forensics information. Learn about information available to you through Microsoft Defender for Endpoint that will aid in your investigations.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Use the device page in Microsoft Defender for Endpoint
  • Describe device forensics information collected by Microsoft Defender for Endpoint
  • Describe behavioral blocking by Microsoft Defender for Endpoint

Prerequisites

Intermediate understanding of Windows 10.

 

Module 13: Perform actions on a device using Microsoft Defender for Endpoint

Learn how Microsoft Defender for Endpoint provides the remote capability to contain devices and collect forensics data.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Perform actions on a device using Microsoft Defender for Endpoint
  • Conduct forensics data collection using Microsoft Defender for Endpoint
  • Access devices remotely using Microsoft Defender for Endpoint

Prerequisites

Intermediate understanding of Windows 10.

 

Module 14: Perform evidence and entities investigations using Microsoft Defender for Endpoint

Learn about the artifacts in your environment and how they relate to other artifacts and alerts that will provide you insight to understand the overall impact to your environment.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Investigate files in Microsoft Defender for Endpoint
  • Investigate domains and IP addresses in Microsoft Defender for Endpoint
  • Investigate user accounts in Microsoft Defender for Endpoint

Prerequisites

Intermediate understanding of Windows 10.

 

Module 15: Configure and manage automation using Microsoft Defender for Endpoint

Learn how to configure automation in Microsoft Defender for Endpoint by managing environmental settings.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Configure advanced features of Microsoft Defender for Endpoint
  • Manage automation settings in Microsoft Defender for Endpoint

Prerequisites

Intermediate understanding of Windows 10.

 

Module 16: Configure for alerts and detections in Microsoft Defender for Endpoint

Learn how to configure settings to manage alerts and notifications. You’ll also learn to enable indicators as part of the detection process.

Learning objectives

After completion of this module, you’ll be able to:

  • Configure alert settings in Microsoft Defender for Endpoint
  • Manage indicators in Microsoft Defender for Endpoint

Prerequisites

Intermediate understanding of Windows 10.

 

Module 17: Utilize Vulnerability Management in Microsoft Defender for Endpoint

Learn about your environment’s weaknesses by using Vulnerability Management in Microsoft Defender for Endpoint.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Describe Vulnerability Management in Microsoft Defender for Endpoint
  • Identify vulnerabilities on your devices with Microsoft Defender for Endpoint
  • Track emerging threats in Microsoft Defender for Endpoint

Prerequisites

Intermediate understanding of Windows 10.

 

Module 18: Plan for cloud workload protections using Microsoft Defender for Cloud

Learn the purpose of Microsoft Defender for Cloud and how to enable the system.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Describe Microsoft Defender for Cloud features
  • Microsoft Defender for Cloud workload protections
  • Enable Microsoft Defender for Cloud

Prerequisites

  • Basic familiarity with Azure services, specifically Azure SQL Database and Azure Storage.
  • Familiarity with Azure virtual machines and virtual networking.

 

Module 19: Connect Azure assets to Microsoft Defender for Cloud

Learn how to connect your various Azure assets to Microsoft Defender for Cloud to detect threats.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Explore Azure assets
  • Configure auto-provisioning in Microsoft Defender for Cloud
  • Describe manual provisioning in Microsoft Defender for Cloud

Prerequisites

  • Basic familiarity with Azure services, specifically Azure SQL Database and Azure Storage.
  • Familiarity with Azure virtual machines and virtual networking.

 

Module 20: Connect non-Azure resources to Microsoft Defender for Cloud

Learn how you can add Microsoft Defender for Cloud capabilities to your hybrid environment.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Connect non-Azure machines to Microsoft Defender for Cloud
  • Connect AWS accounts to Microsoft Defender for Cloud
  • Connect GCP accounts to Microsoft Defender for Cloud

Prerequisites

  • Fundamentals of computer networking.
  • Familiarity with virtual machines.

 

Module 21: Manage your cloud security posture management

Microsoft Defender for Cloud, Cloud Security Posture Management (CSPM) provides visibility into vulnerable resources and provides hardening guidance.

Learning objectives

In this module, you’ll learn how Microsoft Defender for Cloud provides security posture management. Upon completion you’ll be able to:

  • Describe Microsoft Defender for Cloud features.
  • Explain the Microsoft Defender for Cloud security posture management protections for your resources.

 

Module 22: Explain cloud workload protections in Microsoft Defender for Cloud

Learn about the protections and detections provided by Microsoft Defender for Cloud with each cloud workload.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Explain which workloads are protected by Microsoft Defender for Cloud
  • Describe the benefits of the protections offered by Microsoft Defender for Cloud
  • Explain how Microsoft Defender for Cloud protections function

Prerequisites

  • Basic familiarity with Azure services, specifically Azure SQL Database and Azure Storage.
  • Familiarity with Azure virtual machines and virtual networking.

 

Module 23: Remediate security alerts using Microsoft Defender for Cloud

Learn how to remediate security alerts in Microsoft Defender for Cloud.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Describe alerts in Microsoft Defender for Cloud
  • Remediate alerts in Microsoft Defender for Cloud
  • Automate responses in Microsoft Defender for Cloud

Prerequisites

  • Basic familiarity with Azure services, specifically Azure SQL Database and Azure Storage.
  • Familiarity with Azure virtual machines and virtual networking.

 

Module 24: Construct KQL statements for Microsoft Sentinel

KQL is the query language used to perform analysis on data to create analytics, workbooks, and perform hunting in Microsoft Sentinel. Learn how basic KQL statement structure provides the foundation to build more complex statements.

Learning objectives

Upon completion of this module, the learner 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

 

Module 25: Analyze query results using KQL

Learn how to summarize and visualize data with a KQL statement provides the foundation to build detections in Microsoft Sentinel.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Summarize data using KQL statements
  • Render visualizations using KQL statements

Prerequisites

  • Familiarity with security operations in an organization.
  • Basic experience with Azure services.

 

Module 26: Build multi-table statements using KQL

Learn how to work with multiple tables using KQL.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Create queries using unions to view results across multiple tables using KQL
  • Merge two tables with the join operator using KQL

 

Module 27: Work with data in Microsoft Sentinel using Kusto Query Language

Learn how to use the Kusto Query Language (KQL) to manipulate string data ingested from log sources.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Extract data from unstructured string fields using KQL
  • Extract data from structured string data using KQL
  • Create Functions using KQL

 

Module 28: Introduction to Microsoft Sentinel

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. Microsoft Sentinel enables you to start getting valuable security insights from your cloud and on-premises data quickly. This module helps you get started.

Learning objectives

By the end of this module, you will be able to:

  • Identify the various components and functionality of Microsoft Sentinel.
  • Identify use cases where Microsoft Sentinel would be a good solution.

Prerequisites

  • Familiarity with security operations in an organization
  • Basic experience with Azure services

 

Module 29: Create and manage Microsoft Sentinel workspaces

Learn about the architecture of Microsoft Sentinel workspaces to ensure you configure your system to meet your organization’s security operations requirements.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Describe Microsoft Sentinel workspace architecture
  • Install Microsoft Sentinel workspace
  • Manage a Microsoft Sentinel workspace

Prerequisites

Basic experience with Azure services

 

Module 30: Query logs in Microsoft Sentinel

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 Microsoft Sentinel.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Use the Logs page to view data tables in Microsoft Sentinel
  • Query the most used tables using Microsoft Sentinel

Prerequisites

Basic knowledge of operational concepts such as monitoring, logging, and alerting

 

Module 31: Use watchlists in Microsoft Sentinel

Learn how to create Microsoft Sentinel watchlists that are a named list of imported data. Once created, you can easily use the named watchlist in KQL queries.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Create a watchlist in Microsoft Sentinel
  • Use KQL to access the watchlist in Microsoft Sentinel

 

Module 32: Utilize threat intelligence in Microsoft Sentinel

Learn how the Microsoft Sentinel Threat Intelligence page enables you to manage threat indicators.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Manage threat indicators in Microsoft Sentinel
  • Use KQL to access threat indicators in Microsoft Sentinel

Prerequisites

Basic knowledge of security operational concepts such as monitoring, logging, and alerting.

 

Module 33: Connect data to Microsoft Sentinel using data connectors

The primary approach to connect log data is using the Microsoft Sentinel provided data connectors. This module provides an overview of the available data connectors.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Explain the use of data connectors in Microsoft Sentinel
  • Describe the Microsoft Sentinel data connector providers
  • Explain the Common Event Format and Syslog connector differences in Microsoft Sentinel

 

Module 34: Connect Microsoft services to Microsoft Sentinel

Learn how to connect Microsoft 365 and Azure service logs to Microsoft Sentinel.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Connect Microsoft service connectors
  • Explain how connectors auto-create incidents in Microsoft Sentinel

Prerequisites

Basic experience with Azure services

 

Module 35: Connect Microsoft 365 Defender to Microsoft Sentinel

Learn about the configuration options and data provided by Microsoft Sentinel connectors for Microsoft 365 Defender.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Activate the Microsoft 365 Defender connector in Microsoft Sentinel
  • Activate the Microsoft Defender for Endpoint connector in Microsoft Sentinel
  • Activate the Microsoft Defender for Office 365 connector in Microsoft Sentinel

Prerequisites

Intermediate understanding of Microsoft 365.

 

Module 36: Connect Windows hosts to Microsoft Sentinel

One of the most common logs to collect is Windows security events. Learn how Microsoft Sentinel makes this easy with the Security Events connector.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Connect Azure Windows Virtual Machines to Microsoft Sentinel
  • Connect non-Azure Windows hosts to Microsoft Sentinel
  • Configure Log Analytics agent to collect Sysmon events

Prerequisites

Basic knowledge of operational concepts such as monitoring, logging, and alerting.

 

Module 37: Connect Common Event Format logs to Microsoft Sentinel

Most vendor-provided connectors utilize the CEF connector. Learn about the Common Event Format (CEF) connector’s configuration options.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Explain the Common Event Format connector deployment options in Microsoft Sentinel
  • Run the deployment script for the Common Event Format connector

Prerequisites

  • Basic knowledge of operational concepts such as monitoring, logging, and alerting
  • Basic knowledge of Linux

 

Module 38: Connect syslog data sources to Microsoft Sentinel

Learn about the Syslog connector’s configuration options which will enable you to parse Syslog data.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Describe the Syslog connector deployment options in Microsoft Sentinel
  • Run the connector deployment script to send data to Microsoft Sentinel
  • Configure the Log Analytics agent integration for Microsoft Sentinel
  • Create a parse using KQL in Microsoft Sentinel

Prerequisites

  • Basic knowledge of operational concepts such as monitoring, logging, and alerting
  • Basic knowledge of Linux

 

Module 39: Connect threat indicators to Microsoft Sentinel

Learn how to connect Threat Intelligence Indicators to the Microsoft Sentinel workspace using the provided data connectors.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Configure the TAXII connector in Microsoft Sentinel
  • Configure the Threat Intelligence Platform connector in Microsoft Sentinel
  • View threat indicators in Microsoft Sentinel

Prerequisites

Basic experience with Azure services

 

Module 40: Threat detection with Microsoft Sentinel analytics

In this module, you learned how Microsoft Sentinel Analytics can help the SecOps team identify and stop cyber attacks.

Learning objectives

In this module, you will:

  • Explain the importance of Microsoft Sentinel Analytics.
  • Explain different types of analytics rules.
  • Create rules from templates.
  • Create new analytics rules and queries using the analytics rule wizard.
  • Manage rules with modifications.

Prerequisites

  • Basic knowledge of Azure services
  • Basic knowledge of operational concepts, such as monitoring, logging, and alerting
  • Azure subscription
  • Microsoft Sentinel instance in your Azure subscription

 

Module 41: Automation in Microsoft Sentinel

By the end of this module, you’ll be able to use automation rules in Microsoft Sentinel to automated incident management.

Learning objectives

After completing this module, you’ll be able to:

  • Explain automation options in Microsoft Sentinel
  • Create automation rules in Microsoft Sentinel

 

Module 42: Threat response with Microsoft Sentinel playbooks

This module describes how to create Microsoft Sentinel playbooks to respond to security threats.

Learning objectives

In this module you will:

  • Explain Microsoft Sentinel SOAR capabilities.
  • Explore the Microsoft Sentinel Logic Apps connector.
  • Create a playbook to automate an incident response.
  • Run a playbook on demand in response to an incident.

Prerequisites

  • Automation and monitoring
  • Azure Monitor and its Log Analytics workspace
  • Azure Logic Apps

 

Module 43: Security incident management in Microsoft Sentinel

In this module, you’ll investigate Microsoft Sentinel incident management, learn about Microsoft Sentinel events and entities, and discover ways to resolve incidents.

Learning objectives

In this module, you will:

  • Understand Microsoft Sentinel incident management
  • Explore Microsoft Sentinel evidence and entity management
  • Investigate and manage incident resolution

Prerequisites

  • Familiarity with security operations in an organization
  • Basic experience with Azure services
  • Basic knowledge of operational concepts, such as monitoring, logging, and alerting
  • Basic knowledge of Microsoft Sentinel rules

 

Module 44: Identify threats with Behavioral Analytics

Learn how to use entity behavior analytics in Microsoft Sentinel to identify threats inside your organization.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Explain User and Entity Behavior Analytics in Azure Sentinel
  • Explore entities in Microsoft Sentinel

Prerequisites

Knowledge of security incident management in Microsoft Sentinel

 

Module 45: Data normalization in Microsoft Sentinel

By the end of this module, you’ll be able to use ASIM parsers to identify threats inside your organization.

Learning objectives

After completing this module, you will be able to:

  • Use ASIM Parsers
  • Create ASIM Parser
  • Create parameterized KQL functions

Prerequisites

Basic knowledge of Kusto Query Language (KQL).

 

Module 46: Query, visualize, and monitor data in Microsoft Sentinel

This module describes how to query, visualize, and monitor data in Microsoft Sentinel.

Learning objectives

In this module you will:

  • Visualize security data using Microsoft Sentinel Workbooks.
  • Understand how queries work.
  • Explore workbook capabilities.
  • Create a Microsoft Sentinel Workbook.

Prerequisites

  • Familiarity with security operations in an organization
  • Basic experience with Azure services
  • Basic knowledge of operational concepts such as monitoring, logging, and alerting
  • A Microsoft Sentinel instance in your Azure subscription

 

Module 47: Manage content in Microsoft Sentinel

By the end of this module, you’ll be able to manage content in Microsoft Sentinel.

Learning objectives

After completing this module, you’ll be able to:

  • Install a content hub solution in Microsoft Sentinel
  • Connect a github repository to Microsoft Sentinel

Prerequisites

Azure and Microsoft Sentinel experience.

 

Module 48: Explain threat hunting concepts in Microsoft Sentinel

Learn the threat hunting process in Microsoft Sentinel.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Describe threat hunting concepts for use with Microsoft Sentinel
  • Define a threat hunting hypothesis for use in Microsoft Sentinel

Prerequisites

Basic knowledge of operational concepts such as monitoring, logging, and alerting

 

Module 49: Threat hunting with Microsoft Sentinel

In this module, you’ll learn to proactively identify threat behaviors by using Microsoft Sentinel queries. You’ll also learn to use bookmarks and livestream to hunt threats.

Learning objectives

In this module, you will:

  • Use queries to hunt for threats.
  • Save key findings with bookmarks.
  • Observe threats over time with livestream.

Prerequisites

  • Familiarity with security operations in an organization.
  • Basic experience with Azure services.
  • Basic knowledge of operational concepts such as monitoring, logging, and alerting.
  • Basic Microsoft Sentinel functionality.
  • Access to a Microsoft Azure subscription for exercise tasks.

 

Module 50: Use Search jobs in Microsoft Sentinel

In Microsoft Sentinel, you can search across long time periods in large datasets by using a search job.

Learning objectives

After completing this module, you’ll be able to:

  • Use Search Jobs in Microsoft Sentinel
  • Restore archive logs in Microsoft Sentinel

Prerequisites

Basic knowledge of operational concepts such as KQL, logging, and archiving

 

Module 51: Hunt for threats using notebooks in Microsoft Sentinel

Learn how to use notebooks in Microsoft Sentinel for advanced hunting.

Learning objectives

Upon completion of this module, the learner will be able to:

  • Explore API libraries for advanced threat hunting in Microsoft Sentinel
  • Describe notebooks in Microsoft Sentinel
  • Create and use notebooks in Microsoft Sentinel

Prerequisites

  • Basic knowledge of operational concepts such as monitoring, logging, and alerting
  • Basic experience with Azure services
Who should attend this course

The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Azure Sentinel, Azure Defender, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies.

This Microsoft Official Course prepares students for the Microsoft Certified: Security Operations Analyst Associate certification. The SC-200 exam  measures your ability to accomplish the following technical tasks: mitigate threats using Microsoft 365 Defender; mitigate threats using Azure Defender; and mitigate threats using Azure Sentinel.

Prerequisites
  • Basic understanding of Microsoft 365
  •  Fundamental understanding of Microsoft security, compliance, and identity products
  •  Intermediate understanding of Windows 10
  •  Familiarity with Azure services, specifically Azure SQL Database and Azure Storage
  •  Familiarity with Azure virtual machines and virtual networking
  •  Basic understanding of scripting concepts.

You can satisfy the prerequisites above for SC-200T00 by attending the SC-900T00: Microsoft Security, Compliance and Identity Fundamentals training.

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