
SC-200 was updated in August, and while there are quite a few changes, it wasn’t a major overhaul, instead it’s more of a consolidation of some topics, as well as the expansion and addition of topics. Before we get into the main changes, it’s also worth noting the section weightings have changed, most notably the Microsoft Sentinel section expanding to 50-55% and Defender for Cloud dropping to 20-25%. This means that the weighting is still very heavily Azure leaning, now sitting and 70-80% of the exam versus previously sitting at 65-75% of the exam.
Why was the Sentinel weighting increased? Simple, there’s quite a few additional Sentinel topics included, reflecting some of the additional capabilities that have been introduced over the last few years. Let’s get into some of the differences with the exam update. Let’s start with what’s been removed, and then what’s been added.
Removed
- Sensitivity labels
- Attack surface reduction rules
- Privileged Identity Management
- Defender for Cloud automatic response using an Azure Resource Manager template
- Defender for Cloud for Key Vault alerts
Added
- Device security baselines
- Custom detections and alerts in Microsoft 365 Defender
- Identify and remediate security risks using the Microsoft Defender for Cloud Secure Score
- Defender for Cloud policies for regulatory compliance
- Defender for Cloud security recommendations
- Sentinel content hub, repositories and community resources
- Sentinel watchlists
- Sentinel threat indicators
- Sentinel data classification and normalization
- Sentinel automation
- MCSTIPy in Sentinel Notebooks
As you can see. the list of what was removed is fairly short, but some of them are still potentially covered by other parts of the exam though. The list of what was added is dominated by Sentinel topics, and while they are mostly self explanatory, the one that stands out to me is Sentinel automation. Pay close attention here, because this is effectively telling you that it’s not just about automation using Playbooks. The other thing to note is that the inclusion of custom detections in Microsoft 365 Defender means another area where KQL can turn up in the exam.
If you are starting your exam preparation already having exposure to Microsoft Defender for Cloud, Microsoft Sentinel, Log Analytics, Kusto Query Language and Logic Apps, as well as an understanding of other related Azure services, you are going to be in pretty good shape to fill in the Microsoft 365 Defender gaps and pass the exam. However, you can also easily figure out that the opposite is true – if you’ve only been working with the Microsoft 365 Defender components, there is going to be much study and learning to have a good chance at passing on your first attempt.
The good news is that regardless of which of these categories you fall under, the exam doesn’t expect you to have a deep understanding of the workloads that you are trying to protect, and instead focuses on the skills and tools needed to perform those tasks, not how to remediate the underlying issues that might be identified on a workload by workload basis. This is where this exam is quite different to exams such as MS-500 and AZ-500, as they expect you to know a bit more about the workloads you are trying to protect as well as how to protect them.
This means that the candidates for this exam get a very different recommendation from me versus those targeting one of the 500 series exams just mentioned, I usually don’t recommend those as someone’s first exam, as they tend to reward those who have done other exams in the lead up to them, in the case of MS-500 for example, I highly recommend that someone has already passed MS-100, MS-101 and MD-101 for example, as they’ve traditionally done a good job of covering a great deal of overlapping content with MS-500.
If you’ve already passed MS-500 and AZ-500, this is an excellent choice as your next exam, because there will be some overlap in the technologies, but expect this exam to go much deeper into understanding the Defender family of technologies, and it also goes deeper into Sentinel than you will have seen on previous exams. You will definitely need to spend some time with Kusto and Log Analytics, not just for the Microsoft Sentinel portion of the exam, but Microsoft Defender for Cloud as well.
Mitigate threats using Microsoft 365 Defender (25-30%)
Mitigate threats to the productivity environment by using Microsoft 365 Defender
- Investigate, respond, and remediate threats to Microsoft Teams, SharePoint, and OneDrive
- Investigate, respond, remediate threats to email by using Microsoft Defender for Office 365
- Investigate and respond to alerts generated from insider risk policies
- Identify, investigate, and remediate security risks by using Microsoft Defender for Cloud Apps
- Configure Microsoft Defender for Cloud Apps to generate alerts and reports to detect threats
Mitigate endpoint threats by using Microsoft Defender for Endpoint
- Manage data retention, alert notification, and advanced features
- Recommend security baselines for devices
- Respond to incidents and alerts
- View and organize the Incidents queue
- View and organize the Alerts queue
- respond to incidents and alerts
- Manage automated investigations and remediations
- Assess and recommend endpoint configurations to reduce and remediate vulnerabilities by using the Microsoft threat and vulnerability management solution
- Manage Microsoft Defender for Endpoint threat indicators
Mitigate identity threats
- Identify and remediate security risks related to Azure AD Identity Protection events
- Identify and remediate security risks related to conditional access events
- Identify and remediate security risks related to Azure Active Directory events
- Identify and remediate security risks related to Active Directory Domain Services using Microsoft Defender for Identity
Manage extended detection and response (XDR) in Microsoft 365 Defender
- Manage incidents across Microsoft 365 Defender products
- Manage investigation and remediation actions in the Action Center
- perform advanced threat hunting
- Identify and remediate security risks using Microsoft Secure Score
- Analyze threat analytics
- Configure and manage custom detections and alerts
Mitigate threats using Microsoft Defender for Cloud (20-25%)
Design and configure an Microsoft Defender for Cloud implementation
- Plan and configure Microsoft Defender for Cloud settings, including selecting target subscriptions and workspace
- Configure Microsoft Defender for Cloud roles
- Assess and recommend cloud workload protection
- Identify and remediate security risks using the Microsoft Defender for Cloud Secure Score
- Manage policies for regulatory compliance
- Review and remediate security recommendations
Plan and implement the use of data connectors for ingestion of data sources in Microsoft Defender for Cloud
- Identify data sources to be ingested for Microsoft Defender for Cloud
- Configure automated onboarding for Azure resources
- Connect multi-cloud and on-premises resources
- Configure data collection
Configure and respond to alerts and incidents in Microsoft Defender for Cloud
- Validate alert configuration
- Set up email notifications
- Create and manage alert suppression rules
- Design and configure workflow automation in Microsoft Defender for Cloud
- Remediate alerts and incidents by using Microsoft Defender for Cloud recommendations
- Manage security alerts and incidents
- Analyze Microsoft Defender for Cloud threat intelligence
- Manage user data discovered during and investigation
Mitigate threats using Microsoft Sentinel (50-55%)
Design and configure an Microsoft Sentinel workspace
- Plan a Microsoft Sentinel workspace
- Configure Microsoft Sentinel roles
- Design and configure Microsoft Sentinel data storage
- Implement and use Content hub, repositories, and community resources
Plan and Implement the use of data connectors for ingestion of data sources in Microsoft Sentinel
- Identify data sources to be ingested for Microsoft Sentinel
- Identify the prerequisites for a Microsoft Sentinel data connector
- Configure data connectors by using Azure Policy
- Configure and use Microsoft Sentinel data connectors
- Configure Microsoft Sentinel connectors for Microsoft 365 Defender and Microsoft Defender for Cloud
- Design and configure Syslog and CEF event collections
- Design and Configure Windows Security events collections
- Configure custom threat intelligence connectors
Manage Microsoft Sentinel analytics rules
- Design and configure analytics rules
- Activate Microsoft Security analytics rules
- Configure built-in scheduled queries
- Configure custom scheduled queries
- Define incident creation logic
- Manage and use watchlists
- Manage and use threat indicators
Perform data classification and normalization
- Classify and analyze data by using entities
- Create custom logs in Azure Log Analytics to store custom data
- Query Microsoft Sentinel data by using Advanced SIEM Information Model (ASIM) parsers
- Develop and manage ASIM parsers
Configure Security Orchestration Automation and Response (SOAR) in Microsoft Sentinel
- Configure automation rules
- Create and configure Microsoft Sentinel playbooks
- Configure alerts and incidents to trigger automation
- Use automation to remediate threats
- Use automation to manage incidents
Manage Microsoft Sentinel Incidents
- Triage incidents in Microsoft Sentinel
- Investigate incidents in Microsoft Sentinel
- Respond to incidents in Microsoft Sentinel
- Investigate multi-workspace incidents
- Identify advanced threats with User and Entity Behavior Analytics (UEBA)
Use Microsoft Sentinel workbooks to analyze and interpret data
- Activate and customize Microsoft Sentinel workbook templates
- Create custom workbooks
- Configure advanced visualizations
- View and analyze Microsoft Sentinel data using workbooks
- Track incident metrics using the security operations efficiency workbook
Hunt for threats using Microsoft Sentinel
- Create custom hunting queries
- Run hunting queries manually
- Monitor hunting queries by using Livestream
- Configure and use MSTICPy in notebooks
- Perform hunting by using notebooks
- Track query results with bookmarks
- Use hunting bookmarks for data investigations
- Convert a hunting query to an analytical rule