SC-300 Exam Dumps - Microsoft Identity and Access Administrator

SC-300 materials stress that to enforce modern controls (like MFA) on on-premises apps, you must front them with Azure AD so Conditional Access can evaluate sign-ins. The documentation states that Azure AD Application Proxy “ provides secure remote access to on-premises applications ” and that apps published through it can have “ Conditional Access policies, including multifactor authentication ” applied at sign-in. In other words, once the legacy app is published by Application Proxy, Azure AD sits in the path, enabling you to meet the requirement to enforce MFA when accessing on-premises applications and to combine it with your location-based exemptions.

For SharePoint Online restrictions, SC-300 points to Microsoft Cloud App Security (Defender for Cloud Apps) for real-time governance: you can create session policies that “ control and limit activities in real time ” and, for SharePoint Online and other Microsoft 365 apps, “ monitor user sessions and block download, cut, copy, and print ” when conditions (device state, risk, or location) warrant it. Since the scenario already has anomaly detections enabled, configuring Cloud App Security policies aligns directly with the requirement to place access restrictions on SharePoint Online without altering tenant-wide consent settings. Thus, publish on-prem apps with Application Proxy to bring them under Conditional Access (for MFA), and use Cloud App Security policies to enforce SharePoint Online session and download controls.

According to the Microsoft SC-300: Identity and Access Administrator Study Guide and the Microsoft Learn module “Monitor and respond to Azure AD events with Azure Sentinel” , multi-staged attacks are advanced threat scenarios that require correlation of multiple events — for example, a suspicious sign-in followed by abnormal Office 365 activity.

The scenario in the question states:

“Litware wants to use the Fusion rule in Azure Sentinel to detect multi-staged attacks that include a combination of suspicious Azure AD sign-ins followed by anomalous Microsoft Office 365 activity.”

Azure Sentinel’s Fusion rule is a built-in, machine-learning–driven correlation rule that automatically detects multi-stage attacks by analyzing anomalies across multiple data sources such as Azure AD sign-in logs, Office 365 activity, and security alerts.

However, to fine-tune detection or meet specific organizational monitoring requirements, administrators can customize the rule logic in Sentinel analytics. This allows you to define how different signals and events are correlated, what thresholds trigger an alert, and how Sentinel interprets combined anomalies.

Microsoft documentation states:

“Fusion uses correlation logic in analytics rules to detect complex multi-stage attacks. Administrators can customize rule logic to meet specific detection requirements and fine-tune alert sensitivity.”

The other options do not meet the requirement:

B. Create a workbook → Used for visualization and reporting, not detection.

C. Add data connectors → Used to ingest data sources; this is already configured.

D. Add a playbook → Used for automated response, not for detection logic configuration.

✅ Correct Answer: A. Customize the Azure Sentinel rule logic

In the SC-300 coverage of Azure AD Connect and Identity Governance, Microsoft explains that to surface a custom on-premises attribute in Azure AD you must enable Directory extensions in Azure AD Connect. The guide states that “Directory extensions lets you synchronize additional attributes from on-premises Active Directory to Azure AD so they are available in the cloud directory for apps and policy.” This is the supported way to bring a custom attribute (here, LWLicenses ) from the litware.com forest into Azure AD so it can be referenced by cloud features such as dynamic group rules. Domain filtering or optional features do not expose a new attribute to Azure AD; directory extensions does.

For license automation, the SC-300 materials on group-based licensing and dynamic groups emphasize that “licenses can be assigned to Azure AD groups; group members then inherit the licenses, and when membership changes, licenses are added or removed automatically.” They further note that “dynamic user groups evaluate rules against user attributes to add or remove users without manual effort,” and that “nested groups are not supported for license inheritance—only direct members receive licenses.” Using the synced LWLicenses attribute in a Dynamic User group rule (for example, user.extensionAttribute… -eq " E5 " ) ensures users are automatically added to the correct group and therefore receive the specified licenses without administrative intervention, fully meeting Litware’s requirement to “manage the assignment of Azure AD licenses by modifying the value of the LWLicenses attribute.”

According to the Microsoft Identity and Access Administrator (SC-300) Exam Ref and the Azure AD Dynamic Membership Rules documentation , when you create a dynamic group in Azure Active Directory (now Entra ID), you define rules that automatically add or remove users based on their attributes.

The scenario requires a group named LWGroup1 that contains all Azure AD user accounts for Litware but excludes all guest accounts . In Azure AD, internal users created within the tenant are designated with the attribute user.userType = " Member " , while external or guest accounts from partner organizations have user.userType = " Guest " .

To ensure only internal (Litware) users are included, the membership rule must:

Ensure the user object exists — by checking (user.objectId -ne null) which confirms that the rule only applies to valid user objects.

Include only members, excluding guests — by filtering with (user.userType -eq " Member " ) .

Hence, the dynamic rule that satisfies these conditions is:

(user.objectId -ne null) and (user.userType -eq " Member " )

This rule guarantees that LWGroup1 dynamically includes all internal users from litware.com and excludes all external users or guest accounts (such as Fabrikam users).

This logic aligns precisely with the Microsoft Learn module “Manage groups in Azure Active Directory” and SC-300 study guide section “Implement and manage dynamic membership rules” , which states:

“Use user.userType to distinguish between internal members and external guests when configuring membership rules for dynamic groups.”

✅ Correct Answer:

(user.objectId -ne null) and (user.userType -eq " Member " )

In SC-300, Azure AD Identity Protection is the prescribed control to “automatically detect and remediate externally leaked credentials.” That specific user risk—Leaked credentials—relies on Microsoft comparing known breached username/password pairs with what Azure AD can evaluate. The study materials explain that Identity Protection “detects leaked credentials when Microsoft finds a match with the user’s current credentials,” and also note that password hash synchronization (PHS) can be enabled even if your sign-in method is Pass-through Authentication or federation. A common exam call-out is that without PHS, Azure AD has no hash to compare, so the leaked-credential signal is unavailable. Enabling PHS (you can keep PTA as the active sign-in method) allows Identity Protection to raise user risk and enforce policy actions such as require password change or block access. By contrast, Azure AD Password Protection addresses banned/weak passwords at change time, not breached-credential telemetry; federation choices (e.g., PingFederate) don’t deliver the leaked-credential signal; and authentication method policy controls how users perform MFA (e.g., methods) rather than whether leaked credentials are detected. Therefore, to meet the requirement to “automatically detect and remediate externally leaked credentials,” the minimum correct step is to enable password hash synchronization while retaining PTA—exactly as recommended in SC-300 guidance.