SC-200 Practice Exam Questions and Answers

To integrate Microsoft Defender for Cloud Apps (MCAS) with Microsoft Sentinel, Microsoft’s official SecOps and Sentinel documentation specifies a two-step configuration process.

In the Defender for Cloud Apps portal – You add a security extension to enable integration with external SIEM platforms. This action allows MCAS to forward its alerts, activities, and discovered app telemetry to other Microsoft or third-party security platforms. By adding the security extension, Defender for Cloud Apps is authorized to send data streams and alerts to Microsoft Sentinel through a supported API connection.

In Microsoft Sentinel (Azure portal) – You then add a data connector. Data connectors in Sentinel are predefined integration pipelines that bring in telemetry from Microsoft or external security solutions. The Microsoft Defender for Cloud Apps connector specifically ingests MCAS alerts and audit logs into Sentinel, where they can be correlated with other Microsoft Defender XDR signals, enabling unified detection and investigation across identity, endpoint, and cloud layers.

This integration approach adheres to Microsoft’s principle of minimizing administrative effort by using native connectors rather than custom ingestion or log collector configurations. Once connected, Sentinel automatically normalizes MCAS alerts into its SecurityAlert and CloudAppEvents tables for rule creation, playbook automation, and incident correlation.

Therefore, the verified correct configuration is:

Defender for Cloud Apps: Add a security extension

Sentinel: Add a data connector

 Table: DeviceFileEvents

 Aggregation function: count()

In Microsoft Defender XDR advanced hunting, data tables such as DeviceFileEvents, DeviceProcessEvents, and CloudAppEvents are used to investigate various types of activities. Since this query aims to investigate an issue related to file activity—specifically identifying when files have been accessed, modified, or created repeatedly—the correct data source table is DeviceFileEvents. This table contains information about file-level activities recorded by Defender for Endpoint sensors, including file path, file name, action type, and user account involved.

The KQL structure shown in the image follows standard hunting query syntax:

DeviceFileEvents

| where Timestamp > ago(2d)

| summarize activityCount = count() by FolderPath, FileName, ActionType, AccountDisplayName

| where activityCount > 5

Here’s why:

The where Timestamp > ago(2d) clause filters results from the last 2 days, a typical timeframe for immediate investigations.

The summarize operator groups events by FolderPath, FileName, ActionType, and AccountDisplayName, then uses count() to determine how many times each file was acted upon.

Finally, where activityCount > 5 filters to show only unusually high-frequency activity, which might indicate suspicious or automated file manipulation.

Microsoft Defender XDR documentation highlights that DeviceFileEvents is the correct schema for file activity investigations, while DeviceProcessEvents focuses on process creation and execution, and CloudAppEvents targets cloud application usage.

Thus, the verified and documented correct completions are:

Table: DeviceFileEvents

Aggregation function: count()

To attach notes that you can later see during investigations and hunting, you use Bookmarks in Microsoft Sentinel. Bookmarks are created from the Hunting (or Logs) experience inside the Sentinel workspace and let you pin a specific query result (including IPs, accounts, hosts) with notes, tags, and mapped entities so it appears in the investigation graph and is easily referenceable. The correct workflow is: first, run your KQL query from the Microsoft Sentinel workspace (not from generic Azure Monitor), because Sentinel’s hunting experience is where bookmarks integrate with incidents and the investigation graph. Next, select a specific query result that represents the suspicious activity (e.g., a data access event from the target IP). Finally, create a Bookmark and map the relevant entity (IP address, Account, etc.) while adding your notes. Mapping the entity ensures the bookmarked event is connected in the investigation graph; the notes provide the narrative/context you need when pivoting later. Adding the query to favorites is optional for convenience but does not attach notes to a specific event, and running the query from Azure Monitor would not place the bookmark within Sentinel’s investigation context.

The Fusion analytics rule in Microsoft Sentinel automatically correlates alerts from multiple sources (including Microsoft Defender connectors) to detect multistage attacks. Because Fusion runs continuously and cannot be disabled without losing multi-stage detection, the best practice for temporarily suppressing incidents from a specific connector (like Microsoft Defender) is to use automation rules, not by disabling the Fusion rule itself.

An automation rule can be configured to trigger on specific conditions (such as “When incident is updated” or “When incident is created”) and then perform an action like running a playbook that applies suppression logic.

Here’s the reasoning:

Trigger:

Setting the trigger to “When incident is updated” ensures that the rule evaluates changes to existing incidents—such as enrichment or tagging from Fusion—and provides finer control over suppression, minimizing impact on the Fusion detection pipeline.

Using “When incident is created” could interfere with Fusion’s initial detection process.

Action:

The appropriate action is “Run playbook”, which allows automated handling (for example, tagging or closing certain incidents from a specific connector). This requires minimal administrative effort and avoids turning off the Fusion rule.

This configuration ensures that Fusion continues to detect multistage attacks (so detection isn’t impacted) while automation handles temporary suppression for specific connectors efficiently.