Pass the Microsoft Certified: Security Compliance and Identity Fundamentals SC-900 Questions and answers with Dumpstech

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.

In Microsoft’s official guidance, the Microsoft Cloud Adoption Framework for Azure (CAF) is described as the end-to-end approach that “provides best practices, documentation, and tools” to help organizations create and implement business and technology strategies for cloud adoption. The framework aggregates field experience from “Microsoft employees, partners, and customers” and offers prescriptive guidance across strategy, planning, readiness, governance, security, and management to ensure a secure and compliant Azure landing zone. Within SCI-aligned materials, CAF is highlighted as the authoritative body of guidance that helps organizations reduce risk by aligning cloud architecture, identity, security, and compliance controls with Zero Trust principles and regulatory needs. It enables teams to map security baselines, identity governance (e.g., using Microsoft Entra and Conditional Access), and compliance controls (e.g., data protection and regulatory mappings) into deployment blueprints and policy-driven guardrails.

By contrast, Azure Blueprints package artifacts (policies, RBAC, templates) for consistent deployments; Azure Policy enforces and audits configuration through policy definitions; and resource locks prevent accidental modification or deletion. While these are important technical controls, the statement in the question explicitly refers to a body of best practices and guidance that assists an Azure deployment end to end—this is precisely the role of the Microsoft Cloud Adoption Framework for Azure.

In Microsoft cloud identity, access to Azure resources follows the classical order of authenticate, then authorize. Microsoft Learn defines the two steps clearly: “Authentication is the process of establishing the identity of a person or service,” while “Authorization is the process of determining what a person or service can do.” In an Azure sign-in, Microsoft Entra ID (formerly Azure AD) first validates the user’s credentials (password, MFA, Conditional Access, device compliance, risk evaluation). Upon success, a security token is issued that proves the user’s identity. Only after this identity is established does Azure proceed to authorization, where the Azure Resource Manager evaluates role-based access control (RBAC) assignments to decide what actions are allowed. SCI guidance emphasizes this sequence for Zero Trust: “Verify explicitly” (authenticate with strong signals) and then “use least privilege access” (authorize by RBAC or Privileged Identity Management). Therefore, when users sign in to the Azure portal, the first step is authentication—verifying who they are. The subsequent step is authorization, which determines what resources and operations they can access based on roles, scope, and policy. This ordering underpins secure identity and access management across Microsoft 365 and Azure.

Microsoft sets out clear privacy principles for Microsoft 365 and Microsoft cloud services. In Microsoft’s privacy commitments, Microsoft states that customers control their data: “You control your data.” Microsoft also pledges transparency about data practices: “We are transparent about data collection and use.” These two commitments are among the core privacy principles articulated across Microsoft 365 privacy and Microsoft Purview documentation, which emphasize customer choice, clear explanations of data processing, and admin capabilities to access, export, and delete data. Additional Microsoft privacy principles often listed alongside these include security of your data, strong legal protections, no content-based targeting, and benefits to you, but the key point for this question is that Control and Transparency are explicitly called out as privacy principles.

By contrast, shared responsibility is not a privacy principle; it is a cloud security model used in Azure/Microsoft cloud guidance. That model explains that security is a shared responsibility between Microsoft (for the cloud infrastructure) and the customer (for their data, identities, endpoints, and configurations). It describes how duties are divided for protecting services and workloads, not a privacy promise to end users. Therefore, the correct selections are Yes for Control and Transparency, and No for Shared responsibility.

Biometrics templates are stored locally on a device. Reference:

https://docs.microsoft.com/en-us/windows/security/identity-protection/hello-for-business/hello-overview

In Microsoft Purview eDiscovery, to search, preserve, analyze, and export content, you must first create a case. A case acts as a container for all eDiscovery activities, including placing users and content locations on litigation hold, running content searches, and exporting results for legal or compliance review.

SCI Extract: " Cases are used in Microsoft Purview eDiscovery (Standard and Premium) to manage, organize, and execute the various tasks associated with identifying and delivering content during an investigation or litigation. "

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’s cloud responsibility model, Software as a Service (SaaS) is the offering where the cloud provider operates the full application stack and the customer’s responsibility is limited to data and access. Microsoft’s guidance explains that with SaaS, the provider manages the application, runtime, middleware, operating system, virtualization, servers, storage, and networking, while customers focus on “information and identities” and how users access the app. This aligns with your requirement to “manage only the data, user accounts, and user devices” for a cloud-based app. In contrast, PaaS still leaves you responsible for the application and data, and IaaS shifts even more components (OS, middleware, and apps) to you. Microsoft’s shared responsibility descriptions consistently note that SaaS is chosen when organizations want to reduce operational overhead and concentrate on securing and governing their data and identities, leveraging provider controls for platform and infrastructure. Therefore, to meet the scenario of managing only data, user accounts, and devices while the provider runs the rest, SaaS is the correct cloud model.

Microsoft states that Azure Bastion is a fully managed PaaS service that provides “secure and seamless RDP/SSH connectivity to your virtual machines directly in the Azure portal over SSL” and “eliminates the need to expose public IP addresses on your VMs.” With Bastion, users open the VM blade in the Azure portal and launch an in-browser RDP or SSH session; no separate RDP or SSH client is required because the session is proxied through Bastion using HTTPS/TLS. The platform is designed to be agentless and browser-based, providing connectivity without VPN or jump hosts and enforcing least-exposure by keeping management ports off the internet. While traditional tools such as Remote Desktop Connection or an SSH client are common for direct access, Bastion’s prescribed access method in Microsoft guidance is to initiate the session from the Azure portal. PowerShell remoting is unrelated to Bastion’s web-based brokering. Therefore, to connect to an Azure virtual machine by using Azure Bastion, you use the Azure portal.

In Microsoft Sentinel, automation is delivered through playbooks, which are built on Azure Logic Apps. Microsoft’s Sentinel documentation explains that playbooks “help automate and orchestrate your response to threats” and can be triggered by analytics alerts or incidents to run predefined actions. Typical automated tasks include “enriching alerts with data, blocking IP addresses, disabling users, or creating tickets,” allowing security teams to standardize and speed up their response and remediation processes. Sentinel also uses automation rules to decide when a playbook should run (for example, on incident creation or update), enabling consistent handling of common SOC tasks.

By contrast, the other options are not intended for automation: deep investigation tools are used to investigate incidents and entities; hunting search-and-query tools (built on KQL) are for proactive threat hunting rather than automating responses; and workbooks provide dashboards and visualizations for monitoring and reporting. Therefore, when the requirement is to automate common tasks—such as triggering actions across Microsoft 365 Defender, Azure, or third-party systems—the correct Sentinel capability is playbooks powered by Logic Apps. This aligns with the SCI guidance that emphasizes using Sentinel playbooks to “automate common workflows and response actions” and reduce manual effort while improving consistency and speed in security operations.