SC-200 Exam Preparation Material | Microsoft Security Operations Analyst

Explanation:
When you need to send a Microsoft Teams message (or perform any automated response) in Microsoft Defender for Cloud based on a new Microsoft Secure Score action, you must use workflow automation integrated with Azure Logic Apps.
Here’s the correct sequence of actions, step by step:
Step 1: Create an Azure Logic App that includes the Defender for Cloud regulatory compliance assessment trigger
The Secure Score is part of Defender for Cloud’s Regulatory Compliance section.
To react to new Secure Score recommendations or actions, the Logic App must use the “When a Defender for Cloud regulatory compliance assessment is created or triggered” trigger.
This ensures that the automation is initiated whenever a new Secure Score change occurs.
According to Microsoft documentation:
“To automate Secure Score or compliance actions, select the ‘Regulatory compliance assessment
trigger’ in Logic Apps. It triggers workflows when a new compliance or Secure Score recommendation is created or updated.”
Step 2: Configure a trigger condition
Next, you configure the condition that specifies which Secure Score events should trigger the workflow.
For example, you can set conditions such as:
“If the assessment type = Secure Score,” or
“If compliance status = Failed.”
This filtering ensures that only relevant events (new Secure Score actions) will activate the workflow and prevent unnecessary Teams notifications.
Step 3: Configure workflow automation
Finally, in Defender for Cloud, you configure workflow automation to link the Logic App to the event stream.
From the Defender for Cloud portal, navigate to Workflow automation → Add automation → Choose trigger and Logic App.
Select the created Logic App as the target and define the scope (e.g., all subscriptions or resource groups).
This connects Defender for Cloud to the Logic App so that when a new Secure Score event occurs, the app automatically sends the Microsoft Teams message.

Explanation:
Microsoft 365 Copilot for Security uses Security Compute Units (SCUs) to determine available processing capacity for AI-driven operations. Each SCU represents a fixed amount of compute resources for handling Copilot for Security prompts and plugin interactions (like Sentinel).
When a notification appears stating that “SCU usage is nearing the provisioned capacity limit,” it means that the organization’s current SCU allocation is insufficient for ongoing demand. To restore full response functionality, the tenant admin (or authorized role) must increase the number of provisioned SCUs.
Microsoft documentation states:
“If Copilot for Security indicates that requests cannot be processed due to SCU capacity, increase your provisioned SCUs in the Microsoft 365 admin center or Azure portal to meet demand.”
The other options do not resolve the issue:
Opening a second session does not add capacity.
Waiting does not guarantee SCU availability.
The Optimization Workbook relates to Sentinel performance, not Copilot SCU allocation.
✅ Answer. D. Update the provisioned SCUs

Explanation:
Microsoft Defender XDR’s Automatic attack disruption requires EDR in block mode to be enabled. This feature allows Defender for Endpoint to block or contain malicious activities, even when the primary antivirus engine fails to detect or block them initially.
According to Microsoft Defender documentation, attack disruption relies on real-time EDR response capabilities and EDR in block mode to isolate compromised users or devices automatically. Without EDR in block mode, Defender can only alert ― not stop ― ongoing attacks.
Enabling EDR in block mode integrates the EDR layer with Microsoft Defender Antivirus to automatically contain lateral movement and credential theft activities. While Tamper Protection, Live Response, and Standard Discovery are valuable, they do not directly enable automatic attack disruption.
✅ Correct Answer. A. Set Enable EDR in block mode to On

Explanation:
To validate a custom ASIM parser output, you test that the parser’s resulting table structure complies with the intended ASIM schema. In KQL, the getschema operator produces a tabular representation of the current pipeline’s schema (column names, types, order). The invoke operator is then used to call a function on that tabular input. ASIM provides the helper function ASimSchemaTester(), which accepts the schema table and the target schema name and validates that the input conforms (columns exist, types match, required fields are present).
Therefore, the correct construction is to run the parser (here, Parser1), pipe its output to getschema to obtain the schema of the produced table, and then invoke ASimSchemaTester('Schema1') to perform the validation. Other options are not appropriate: evaluate is for plugins; parse extracts fields from strings rather than validate schema; and calling the tester without getschema would not pass the required schema table.
Hence, the correct command is:
Parser1 | getschema | invoke ASimSchemaTester('Schema1').