Free Microsoft SC-900 Practice Exam with Questions & Answers | Set: 3

You can use an Azure network security group to filter network traffic to and from Azure resources in an Azure virtual network. A network security group contains security rules that allow or deny inbound network traffic to, or outbound network traffic from, several types of Azure resources. For each rule, you can specify source and destination, port, and protocol.

Microsoft Purview Insider Risk Management is designed to identify, investigate, and act on risky activities by internal users—for example data exfiltration, data theft, policy violations, and user sentiments/signals that may indicate insider risk. SCI documentation explains that Insider Risk policies analyze signals such as file downloads, copying to USB, sharing to personal cloud, printing, or anomalous activity following events like performance warnings or resignation notices. Because it focuses on insider behaviors, it is not used to detect external threat vectors like phishing scams; those are addressed by Microsoft Defender for Office 365 and related anti-phishing protections—hence statement 1 is No. The solution is accessed in the Microsoft Purview (formerly Microsoft 365) compliance center under Insider risk management, where admins configure policies, alerts, and workflows—so statement 2 is Yes. Finally, its core purpose includes detecting and investigating potential data leaks by disgruntled or departing employees, using built-in policy templates (e.g., Data theft by departing employee, Data leaks), making statement 3 Yes.

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Microsoft Entra ID Protection evaluates risk during authentication, not only after the user is authenticated. The service provides “real-time” assessment as part of the sign-in flow and also processes “offline” detections, enabling Conditional Access to act before a session is granted. In Microsoft’s terminology, “sign-in risk represents the probability that a given authentication request isn’t authorized by the identity owner,” while “user risk represents the probability that a given identity or account is compromised.” These risks are surfaced as risk detections and can be used to trigger MFA, block access, or require secure password reset. Each detection and calculated risk is classified by Microsoft Entra ID Protection with “Low, Medium, or High” levels so administrators can triage and automate policy responses appropriately. Because detections are calculated in real time as part of the sign-in evaluation (and also through subsequent analysis), it is incorrect to say they are generated once the user is authenticated. The accurate view is that Identity Protection continuously analyzes telemetry and produces detections and risk levels that may be acted upon before, during, and after sign-in, with user risk expressing the likelihood that the identity itself is compromised and sign-in risk expressing the likelihood that a particular authentication attempt is not legitimate.

In Microsoft Purview Compliance Manager, the built-in Compliance score and assessments are designed for ongoing, risk-based monitoring of your organization’s compliance posture. Microsoft’s SCI materials describe Compliance Manager as a solution that “helps you track, improve, and demonstrate your compliance posture” by mapping regulations and standards to improvement actions and assessments. The experience is not a one-time or periodic snapshot; it is intended to be continuous. As you implement controls, provide evidence, or when automated tests record results, “your score is updated as you complete actions,” reflecting current progress toward data protection and regulatory requirements.

Assessments in Compliance Manager persist over time and are maintained through continuous evaluation: actions can be automatically tested when supported (for example, configuration-based controls in Microsoft 365) or manually assessed on an ongoing basis by compliance teams. This design enables organizations to prioritize and remediate issues as they arise, rather than waiting for monthly or quarterly reviews. Because of this continuous scoring and reassessment model, Compliance Manager assesses compliance data continually for an organization, providing near real-time insight into control effectiveness and residual risk across standards such as GDPR, ISO 27001, and NIST frameworks.

The Compliance score in Microsoft Purview Compliance Manager is a measurement tool that evaluates an organization’s progress toward meeting data protection and regulatory compliance requirements. It is specifically designed to help organizations reduce risks related to data governance, privacy, and compliance with various standards such as GDPR, ISO 27001, NIST 800-53, and Microsoft Data Protection Baselines.

According to Microsoft’s official documentation on Compliance Manager, the Compliance score “helps organizations track, improve, and demonstrate their compliance posture by providing a quantifiable measure of compliance with regulations and standards.” Each action within Compliance Manager contributes a certain number of points to the overall score. These points are weighted based on risk, meaning that actions with a greater impact on reducing compliance risk contribute more significantly to the total score.

The score is not an absolute measure of legal compliance but rather an indicator of progress toward implementing recommended controls and risk-reducing actions. Microsoft emphasizes that Compliance score “assists organizations in identifying areas of improvement, prioritizing compliance tasks, and maintaining an auditable record of their compliance activities.”

By contrast, Microsoft Secure Score measures security posture related to identity, device, and application protection, while Productivity Score evaluates collaboration and technology experience. Thus, the metric that specifically assesses data protection and regulatory compliance progress is the Compliance score in Microsoft Purview Compliance Manager.

Microsoft states that Identity Protection is used to “detect potential vulnerabilities affecting your organization’s identities, configure automated responses, and investigate suspicious actions related to your organization’s identities.” It evaluates user risk and sign-in risk using detections such as “leaked credentials, anonymous IP address, unfamiliar sign-in properties, [and] impossible travel.” These built-in detections confirm that the service can detect whether valid user credentials have been found in public or criminal datasets—commonly referred to as leaked credentials—thereby reducing identity compromise risk.

Identity Protection includes policy controls that “automate the response to detected risks,” specifically the User risk policy and Sign-in risk policy. Microsoft describes that these policies can “require password change when user risk is detected” and “require multi-factor authentication when sign-in risk is detected.” Therefore, Identity Protection can invoke MFA based on risk as part of Conditional Access–backed risk policies.

However, Identity Protection does not perform group lifecycle management. Microsoft positions group membership automation under Azure AD dynamic groups/Identity Governance, not Identity Protection. Consequently, adding users to groups based on risk level is not a function of Identity Protection, which focuses on detection, risk evaluation, and policy-driven remediation (e.g., MFA or password reset), not group assignment.

In Microsoft identity and access scenarios, federation is explicitly defined as a mechanism to create trust between autonomous organizations so that identities authenticated in one can be accepted by another. Microsoft describes this as: “Federation is a collection of domains that have established trust.” In a federation, “this trust relationship lets each organization accept the other’s user authentication” and enables access to resources without the need to duplicate user accounts or require separate credentials. Within Azure AD/Microsoft Entra and AD FS guidance, Microsoft further explains that federation enables “claims-based access across security boundaries” and “allows users to access applications in a partner organization using their existing credentials.” These statements underline that the purpose of federation is to establish a trust relationship across identity providers or directories, not to provide multi-factor authentication, synchronize accounts, or build network tunnels. MFA is an authentication strength that can be applied on top of federated sign-in, user account synchronization is handled by services like Microsoft Entra Connect (Azure AD Connect), and VPNs provide network connectivity, not identity trust. Therefore, the completion that aligns with Microsoft SCI documentation is that federation establishes a trust relationship between organizations.

When you register an application through the Azure portal, an application object and service principal are automatically created in your home directory or tenant.

In Microsoft Purview, Sensitivity labels are the feature designed to let users identify and classify content that should be protected. Microsoft’s guidance explains that sensitivity labels “enable you to classify and protect your organization ' s data while ensuring that user productivity and collaboration aren ' t hindered.” Users can manually choose a label in Office apps and services to indicate the data’s sensitivity; as Microsoft notes, labels “can be applied by users or automatically,” and the label “persists with the content in its metadata.” Once identified with a label, protection settings can be enforced, including “encryption, content marking (headers, footers, watermarks), and access restrictions based on the label.”

By comparison, Data Loss Prevention (DLP) focuses on “monitoring and blocking the unintentional sharing of sensitive information” based on policy—DLP enforces handling rules after data is identified, rather than providing the user-centric classification mechanism. Insider Risk addresses “risky user activities and insider data security scenarios,” and eDiscovery is used to “find, preserve, collect, and review content for investigations or litigation.” Therefore, the feature that explicitly allows users to identify content that should be protected—by selecting and applying a classification that then drives protection—is Sensitivity labels.

Microsoft Purview Data Loss Prevention (DLP) defines supported service locations for policy enforcement. The Microsoft Learn/SCI materials state that DLP policies “help protect sensitive information across Microsoft 365 services” and can be scoped to common workloads. In the DLP overview, Microsoft explicitly lists the core cloud locations: “You can create DLP policies that protect content in Exchange Online, SharePoint Online, and OneDrive for Business.” The Teams workload is also included: “DLP can monitor and take protective actions on Microsoft Teams chat and channel messages.” These statements confirm that applying a DLP policy to Exchange Online email (A), OneDrive accounts (B), and Teams chat and channel messages (D) is supported.

By contrast, Exchange Online public folders (C) are not listed among supported DLP locations in the SCI documentation, and Viva Engage (formerly Yammer) (E) is not a standard Microsoft Purview DLP location in the core list above (Viva Engage has separate governance and communication compliance controls). Therefore, from the supported locations enumerated in Microsoft’s DLP guidance, the correct answers are Exchange Online email, OneDrive accounts, and Teams chat and channel messages.