Microsoft SC-200 Exam Dumps

The requirement states that Cloud App Security (Defender for Cloud Apps) must determine whether a user's connection is anomalous based on tenant-level patterns, and the current false positives occur when users connect through two office egress points at the same time. These symptoms align with the Impossible travel anomaly detection policy, which learns normal sign-in geolocation patterns and flags sign-ins from distant locations within an unrealistically short time window. To meet the requirement and reduce false positives, you modify the Impossible travel policy settings---such as excluding trusted corporate IP ranges/VPN egress points and tuning sensitivity---so detections better reflect tenant-wide behavior rather than isolated user hops via different office exits. Policies like Activity from anonymous/suspicious IP addresses rely on threat-intel lists of anonymizers or known-bad sources and don't address the ''two-office'' scenario. Risky sign-in is part of Azure AD Identity Protection, not the MCAS anomaly policy to tune here. Thus, the policy to modify is Impossible travel.

To view incidents across multiple Sentinel workspaces (50 in this case), the central view is provided from the Microsoft Sentinel page in the Azure portal. This page provides a multi-workspace incident view, allowing SOC analysts to see all incidents across all connected workspaces without switching manually.

Microsoft Sentinel -- Incidents shows incidents from a single workspace only.

Microsoft Sentinel -- Workbooks used for analytics visualization.

Log Analytics workspaces only for log storage and queries, not consolidated incident management.

Correct Answe r: C. Microsoft Sentinel

To show labeled files from Windows 10 endpoints in the Azure Information Protection -- Data discovery dashboard, you must first enable the built-in integration between Microsoft Defender for Endpoint and Azure Information Protection (AIP). This is turned on in the Microsoft Defender Security Center under Settings Advanced features. When enabled, Defender for Endpoint inventories sensitivity labels seen on files across managed Windows devices and streams that telemetry to the AIP Data discovery experience, providing visibility into where labeled data resides on endpoints. Scanner clusters and content scan jobs in AIP are intended for on-premises repositories (file shares/SharePoint servers), not for endpoint discovery. Device health/compliance reports do not surface or forward label inventory to AIP. Therefore, the first configuration step is enabling the AIP integration advanced feature in Defender for Endpoint so labeled files on Windows clients appear in the AIP Data discovery dashboard.

To complete the KQL query against the BehaviorAnalytics table, you need to know the exact column name (for example, the Boolean field that flags a new or first-time country for the sign-in). Microsoft's standard method to discover table schemas and column names is the Logs (Log Analytics) query window. In this pane, the left-hand Schema browser lists all connected tables and, when expanded, shows every column name and data type. Selecting a table (e.g., BehaviorAnalytics) reveals its fields, and the editor provides IntelliSense/autocomplete for columns as you type your KQL, making it straightforward to complete a clause like | where <ColumnName> == true.

Security alerts in Azure Security Center (Defender for Cloud), the Azure Activity log, and Azure Advisor do not expose the per-table column schema needed to build KQL filters. Security Center surfaces alerts and recommendations; the Activity log records control-plane operations; and Advisor provides optimization guidance---none of these replace the Logs experience for exploring data schemas.

Therefore, to accurately identify and verify the column required in the where clause for failed sign-ins from a first-time country, you should use the Log Analytics workspace query window, consult the Schema pane for the BehaviorAnalytics table, and leverage the editor's autocomplete to insert the correct column name.

In Microsoft 365 Defender advanced hunting, if you want to automatically receive alerts based on a KQL query---such as detecting when a process disables System Restore---you must convert that query into a custom detection rule. According to Microsoft's official documentation, custom detection rules ''run hunting queries on a schedule and create alerts and incidents when results are found.''

In order for the detection rule to function properly and correlate results across devices and incidents, the query must output DeviceId and ReportId. These fields are mandatory for any advanced hunting query that you want to convert into a detection rule because they uniquely identify the device and event instance. Without them, the rule cannot properly generate correlated alerts.

Therefore:

Create a detection rule (A) -- ensures the query runs automatically and alerts are generated.

Add DeviceId and ReportId (E) -- required for detection rule creation and accurate device/event correlation.

Other options are incorrect:

Suppression rule (B) filters alerts, not generate them.

Order by Timestamp (C) is optional for display, not alerting.

DeviceNetworkEvents (D) is unrelated to this process query.