Microsoft Updated SC-900 Exam Questions and Answers by bryan

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.

Microsoft Defender for Identity (formerly Azure ATP) is designed to protect on-premises identity infrastructures by analyzing signals from Active Directory Domain Services (AD DS). In Microsoft’s SCI guidance, Defender for Identity is described as a “cloud service that uses sensors installed on your domain controllers to monitor and analyze user activities and information across your on-premises Active Directory.” The sensors “collect authentication, replication, and other security-relevant events and network traffic,” enabling analytics to detect techniques such as Pass-the-Hash, Pass-the-Ticket, Golden Ticket, reconnaissance, lateral movement, and domain dominance. The product’s purpose is to surface advanced threats, compromised identities, and malicious insider actions by continuously profiling and learning from AD DS behavior and security events.

While Defender for Identity integrates with other Microsoft security solutions (for example, Microsoft 365 Defender and Microsoft Defender for Cloud Apps) to enrich investigations, it does not rely on Azure Active Directory (Microsoft Entra ID) signals for its core detections, nor does it collect telemetry from Azure AD Connect itself. Instead, its foundational telemetry source is on-premises AD DS domain controllers via lightweight sensors, which provide the deep authentication and directory-service context required to identify sophisticated identity-based attacks in hybrid environments.

In Microsoft’s identity platform, Active Directory Domain Services (AD DS) is the on-premises directory that maintains directory objects such as users, groups, and computers. Microsoft documentation describes AD DS as a service that “stores information about objects on the network and makes this information easy for administrators and users to find and use.” It further explains that AD DS contains objects like “users, groups, computers, and other resources,” and that administrators use tools such as Active Directory Users and Computers to create and manage these objects. A key object type is the computer account; Microsoft states that “a computer that’s joined to a domain has a corresponding computer account object in Active Directory” and that these accounts are created and managed within AD DS to enable secure authentication and authorization for domain-joined devices.

By contrast, mobile devices are typically enrolled and managed through Microsoft Intune/Endpoint Manager and Azure AD device objects, not created in AD DS. Likewise, SaaS applications that require modern authentication integrate with Microsoft Entra ID (Azure AD) using OpenID Connect/OAuth 2.0—not with AD DS. Line-of-business apps that rely on modern authentication are also registered in Entra ID, while AD DS supports traditional Kerberos/NTLM for domain resources. Therefore, among the options provided, the object you can create in AD DS is computer accounts.

Microsoft states that Azure AD Multi-Factor Authentication “adds a second form of verification” to sign-ins and supports multiple verification methods. The documented methods include Microsoft Authenticator app notifications or verification codes, text message (SMS) codes, and phone call verification. In Microsoft’s description, users can approve a push notification in the Microsoft Authenticator app or enter a code from the app; they can receive a text message containing a verification code; or they can answer a phone call to complete the challenge. Email verification and security questions are not listed as supported MFA methods for Azure AD sign-ins and are not valid second factors in Azure AD MFA. Consequently, the correct methods from the options provided are Phone call, Text message (SMS), and Microsoft Authenticator app. These align with Azure AD’s core MFA capabilities used in Conditional Access and per-user MFA to strengthen authentication beyond the password and to meet compliance and security requirements for strong user verification.