SC-900 Exam Dumps - Microsoft Certified: Security Compliance and Identity Fundamentals Questions and Answers

In Microsoft Defender for Cloud, the metric that represents the overall security health of your Azure subscription is secure score. Microsoft’s documentation explains: “Secure score provides an aggregated view of your security posture across your subscriptions and resources. It’s based on security recommendations; addressing those recommendations improves your score.” Defender for Cloud calculates secure score by assessing controls and recommendations mapped to standards, then weighting them by risk and importance: “Each recommendation contributes to the secure score. Completing remediation steps increases the score and reduces risk.” This single percentage view lets security teams quickly gauge how well current configurations and protections align with Microsoft’s security best practices and regulatory mappings. Other elements surfaced in Defender for Cloud—like “resource health,” “status of recommendations,” or “completed controls”—are components and statuses that feed into or relate to the scoring model, but the overall subscription security health indicator presented and tracked over time is secure score.

Microsoft Defender for Endpoint includes Automated investigation and remediation (AIR) and Attack surface reduction (ASR) as core capabilities. Microsoft’s guidance states that AIR “uses inspection algorithms and playbooks to examine alerts, determine if they are malicious, and then take remediation actions such as stopping processes, quarantining files, and rolling back changes.” It is designed to “reduce the volume of alerts that require analyst attention and to remediate threats at machine speed across your estate,” helping security teams contain and fix issues without manual intervention.

Defender for Endpoint also provides attack surface reduction features to proactively limit exposure. The Microsoft learn materials describe that ASR “helps organizations minimize areas that attackers can exploit,” and includes “attack surface reduction rules, network protection, web protection, application control (Windows Defender Application Control), and controlled folder access.” These controls “block or constrain risky behaviors and common attacker techniques,” thereby preventing many initial compromise and lateral-movement attempts before they generate incidents.

By contrast, transport encryption is a general platform/security baseline capability rather than a specific Defender for Endpoint feature, and shadow IT detection is addressed through Microsoft Defender for Cloud Apps (App discovery), which can use Defender for Endpoint network signals but is not itself a native MDE capability. Therefore, the two correct capabilities of Microsoft Defender for Endpoint are Automated investigation and remediation and Attack surface reduction.

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Microsoft’s Windows Hello for Business replaces passwords with strong, two-factor authentication that is tied to the device and unlocked with a user gesture. The Microsoft Learn description states that Windows Hello for Business “replaces passwords with strong authentication” and that “users sign in using a gesture, such as a PIN, facial recognition, or fingerprint.” It further clarifies that the credential is protected by the device’s secure hardware and that the gesture (PIN or biometric) unlocks the private key used to authenticate. The guidance explains that “biometrics (face or fingerprint) or a PIN” are supported as the user’s sign-in method, and that the PIN “is unique to the device” and does not roam, reducing attack surface.

By contrast, email verification and security questions are not authentication gestures for Windows Hello for Business. They are not listed as supported methods for unlocking the Hello for Business key or completing interactive sign-in to Windows. Therefore, the three supported Windows Hello for Business authentication methods from the options provided are fingerprint, facial recognition, and PIN. This aligns with Microsoft’s documented model where the user enrolls a biometric (face or fingerprint) or creates a PIN, and subsequently uses that gesture to unlock the hardware-bound credential for secure sign-in and access to resources.

A Security Information and Event Management (SIEM) system is designed to collect and aggregate security data from multiple sources—such as servers, devices, applications, and security appliances—across an organization. It then analyzes the data for anomalies, correlations, and patterns that could indicate potential threats or breaches.

From the SCI certification learning paths, especially SC-200 (Microsoft Security Operations Analyst), Microsoft defines SIEM as follows:

“SIEM tools collect and analyze activity from multiple resources across your IT infrastructure. Microsoft Sentinel is Microsoft’s cloud-native SIEM that provides intelligent security analytics and threat intelligence to help detect and respond to security threats.”

A SIEM system:

Ingests large volumes of data (logs, events).

Uses built-in rules, AI, and analytics to identify threats.

Correlates alerts from various sources to form incidents.

Generates alerts and dashboards for security analysts.

Microsoft Sentinel, as Microsoft’s SIEM solution, embodies all of these capabilities.

Other options in the dropdown (incorrect for this context):

SOAR is focused on automating responses after SIEM alerts.

TAXII is a threat intel transport protocol, not a detection system.

ASR (Attack Surface Reduction) refers to endpoint hardening, not centralized event analysis.

✅ Therefore, the correct and Microsoft-verified term is: A security information and event management (SIEM).

Microsoft 365 Information Barriers are compliance policies used “to prevent certain segments of users from communicating or collaborating with each other.” In Microsoft’s guidance, IB policies are designed for scenarios like insider trading restrictions, M&A deal rooms, or research–sales separation, where it’s necessary to block chats, calls, and collaboration between defined user segments. The documentation explains that when IB policies are in place, “users in the blocked segments cannot search, discover, or communicate with each other in Microsoft Teams,” and IB v2 extends these controls to additional collaboration workloads such as SharePoint and OneDrive. By contrast, email restrictions in Exchange Online are addressed through mail flow rules or other Exchange features, not information barriers, and restricting unauthenticated access or external sharing is handled by identity access controls and sharing settings, not IB. Therefore, the specific use case is restricting Microsoft Teams chats (and related collaboration) between certain groups within an organization.

Onboarding Microsoft Sentinel starts by enabling Sentinel on an existing Log Analytics workspace and then connecting data sources so analytics can operate on ingested security data. Microsoft’s Sentinel onboarding guidance emphasizes that after you add Sentinel to a workspace, you must “connect Microsoft services, non-Microsoft solutions, and custom sources” using built-in data connectors. Microsoft also states that “you need data in your workspace before you can use Microsoft Sentinel’s analytics, hunting, and investigation capabilities.” Features such as custom analytics rules, hunting queries, and incident correlation depend on ingested telemetry from sources like Microsoft Entra ID sign-in logs, Microsoft 365, Defender products, firewalls, and other appliances. Because the question already gives you a Log Analytics workspace (the prerequisite for enabling Sentinel), the first action in the onboarding workflow that unlocks Sentinel’s value is to connect your security sources. Only after data is flowing should you proceed to create analytics rules, hunting queries, and incident processes. Therefore, the correct first step to onboard Microsoft Sentinel is connect to your security sources.

In Microsoft Purview Information Protection, pre-trained (Microsoft-provided) trainable classifiers are designed to automatically recognize specific categories of content by learning from examples rather than relying only on patterns or keywords. Microsoft’s guidance explains that trainable classifiers “look for data by learning from examples,” and that Microsoft supplies a catalog of “pre-trained classifiers that you can use immediately in your tenant.” The documentation explicitly lists content types these classifiers can recognize, including “Resumes,” along with other categories such as Source code, Threat and harassment, and more. Because they’re already trained by Microsoft, you can use them “to identify and classify items across SharePoint, OneDrive, and Exchange,” and then take actions such as auto-labeling or enforcing DLP policies based on the classifier match.

By contrast, Content explorer is a reporting tool that lets you view where sensitive info types/labels were found; it doesn’t identify resumes on its own. Activity explorer shows events like DLP policy matches over time. eDiscovery is used for legal hold, search, and review, not for semantic content identification. Therefore, to identify documents that are employee resumes, the correct Microsoft compliance feature is the pre-trained (Microsoft-provided) trainable classifier for Resumes.

Microsoft describes Identity Protection as a capability that “detects risky users and risky sign-ins using real-time and offline detections and allows you to configure automated responses.” Microsoft is explicit that detections aren’t limited to after authentication; rather, signals are evaluated during sign-in and also by offline analytics, where “some detections are offline and can take up to 48 hours to appear.” Therefore, saying it only “generates risk detections once a user is authenticated” is incorrect.

For risk scoring, Microsoft states that Identity Protection “assigns a risk level to each detection,” and that “risk levels are Low, Medium, or High,” which are then used by user-risk and sign-in-risk policies to drive remediation (for example, requiring password change or MFA).

Microsoft also defines the two core risk concepts: “User risk represents the probability that a given identity or account is compromised,” while “Sign-in risk represents the probability that a given authentication request isn’t authorized by the identity owner.” These definitions underpin Conditional Access and Identity Protection policies that can require additional verification or block access based on the assessed risk.

Taken together, the documentation confirms: detections are not restricted to post-authentication (No), detections carry Low/Medium/High levels (Yes), and user risk is the probability the identity is compromised (Yes).

Microsoft defines Information Barriers (IB) as policies that “restrict communication and collaboration between specific users or groups” to meet regulatory or conflict-of-interest requirements. In Microsoft 365, IB enforcement is provided across collaboration workloads—most notably Microsoft Teams and, with IB v2, SharePoint and OneDrive—so that users placed in segments that shouldn’t interact are prevented from chatting, meeting, or sharing files with one another. The service “controls who can communicate and collaborate with whom” and applies those controls to Teams chats/channels and SharePoint/OneDrive sites and files so that segment boundaries are honored when users attempt to share or access content.

By contrast, Exchange Online email is not a supported enforcement surface for Information Barriers; IB does not block or route mail. Email restrictions are handled with other capabilities (for example, mail flow rules), not IB. Therefore, in alignment with Microsoft’s SCI guidance: IB does work with Microsoft Teams and with Microsoft SharePoint/OneDrive, but it does not provide policy enforcement for Exchange email.