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| Section | Weight | Objectives |
|---|---|---|
| Secure storage, databases, and networking | 25-30% | - Implement security for databases - Implement security for storage accounts - Implement security for Azure network services |
| Manage and monitor security posture | 20-25% | - Implement Microsoft Security Copilot configuration - Implement activity and event collection in Microsoft Sentinel - Manage security posture using Microsoft Defender for Cloud |
| Manage identity, access, and governance | 20-25% | - Secure access to resources using Microsoft Entra ID - Secure secrets and keys using Azure Key Vault - Implement governance with Azure Policy and Defender for Cloud |
| Secure compute | 20-25% | - Implement security for AI workloads - Implement security for servers and virtual machines (VMs) - Implement security for application platform services |
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NEW QUESTION # 80
You plan to deploy Microsoft 365 Copilot.
You discover that Copilot can access sensitive information in your Microsoft SharePoint Online libraries.
You need to automatically identify which SharePoint Online content has been shared between all internal users.
What should you create?
Answer: B
Explanation:
To automatically identify which SharePoint Online content has been broadly shared with all internal users, you must generate a Shared with 'Everyone except external users' report.
This specific report is part of the Data Access Governance (DAG) reports feature available in the SharePoint admin center, which is enhanced through SharePoint Advanced Management (SAM).
Reference:
https://learn.microsoft.com/en-us/sharepoint/restricted-content-discovery
NEW QUESTION # 81
You have an Azure subscription named Sub1 that contains 50 virtual machines. Sub1 has Microsoft Defender for Cloud enabled.
Sub1 contains an Azure key vault named KV1 and an Azure policy that enforces storing all secrets in KV1.
Occasionally, the developers at your company store plaintext tokens and SSH private keys on the virtual machines.
You need to configure Defender for Cloud to detect plaintext secrets on the virtual machines. The solution must minimize administrative changes to the virtual machines.
How should you configure Defender for Cloud? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Plan: Defender Cloud Security Posture Management (CSPM); Feature: Agentless machine scanning The scenario asks for plaintext token and SSH private key discovery on virtual machines with minimal changes to the machines. Defender CSPM with agentless machine scanning is the correct combination because it scans disks without requiring an agent deployment to each VM. Defender for Key Vault protects secrets stored in the vault but does not detect developers placing credentials on VM file systems. Azure Monitor Agent would add operational overhead and still would not provide this secret scanning capability.
This answer also follows operational scalability. Microsoft security architecture favors policy-driven deployment, agentless assessment, managed identities, and Defender workload plans where possible. Those mechanisms reduce manual configuration while keeping enforcement tied to the resource type, which is why the selected choice is stronger than manual or after-the-fact alternatives. The result is a direct exam-style implementation choice: it changes the required security behavior without relying on unrelated monitoring, manual cleanup, or excessive privilege. Official Microsoft source/topic: SC-500 Study Guide > Defender CSPM secret scanning; Microsoft Learn > agentless machine scanning.
NEW QUESTION # 82
You have an Azure subscription that contains a Microsoft Defender External Attack Surface Management (Defender EASM) resource named EASM1. EASM1 contains the inventory assets shown in the following table.
Which assets are scanned daily, and which assets will display in the default dashboard charts? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Requirement
Selection
Scanned daily
VM1 only
Display in the default dashboard charts
VM1 only
Only VM1, whose state is Approved Inventory, is guaranteed to be scanned daily and included in Defender EASM ' s default dashboard charts. Microsoft explicitly states that assets classified as Approved Inventory represent infrastructure that the organization owns and is directly responsible for. Defender EASM treats these as the organization ' s primary attack-surface assets and scans them daily to maintain data freshness.
Microsoft Learn
Microsoft also states that Approved Inventory assets are always represented in dashboard charts by default, while assets in other states are excluded from those default charts unless inventory filters are changed.
Therefore, VM2 in Dependency, VM3 in Monitor Only, and VM4 in Candidate do not appear in the default dashboard charts. Microsoft Learn The Candidate state has an additional limitation: Candidate assets are scanned only as part of the discovery process rather than as part of the daily Approved Inventory scanning cycle. They must be reviewed and promoted to Approved Inventory when ownership is confirmed. Dependency represents third-party infrastructure on which owned assets rely, while Monitor Only represents relevant infrastructure that is neither directly owned nor a technical dependency. Neither receives the Approved Inventory default- dashboard treatment.
NEW QUESTION # 83
You onboard Microsoft Sentinel.
You connect Microsoft Sentinel to Microsoft Defender for Cloud.
You need to automate the mitigation of incidents in Microsoft Sentinel. The solution must minimize administrative effort.
What should you create?
Answer: D
Explanation:
Create a Microsoft Sentinel playbook . Playbooks are Sentinel ' s native Security Orchestration, Automation, and Response mechanism and are specifically designed to automate investigation and remediation workflows for alerts and incidents. Microsoft Sentinel playbooks are based on Azure Logic Apps , giving them access to a large collection of connectors and predefined actions for Microsoft and third-party security services.
Microsoft Learn
A playbook can be triggered automatically through a Sentinel automation rule when an incident is created or updated. The playbook can then perform remediation actions such as disabling a compromised identity, blocking a malicious IP address, isolating an endpoint, updating an incident, or interacting with external systems. Microsoft provides documented playbook patterns for actions such as blocking users and IP addresses and isolating compromised machines. Microsoft Learn A runbook could automate Azure operations through Azure Automation but would require additional integration and orchestration logic. A Function App could also implement custom remediation code but would introduce more development and maintenance effort. An alert rule detects conditions; it does not itself perform complex incident mitigation.
Because the requirement explicitly asks for automated incident mitigation while minimizing administrative effort , Microsoft Sentinel ' s purpose-built playbook functionality is the appropriate solution.
NEW QUESTION # 84
You have a Microsoft Foundry project that contains a model deployment named Deployment1.
Deployment1 contains an agent named Agent1 that uses an existing default guardrail configuration.
You discover that Agent1 generates tool calls that contain harmful language.
You need to ensure that Agent1 responses containing harmful content are prevented from running. The solution must prevent changes to the configuration of Deployment1.
What should you do?
Answer: C
Explanation:
To prevent the agent from executing tool calls that contain harmful language while strictly keeping the model deployment configuration unchanged, you must assign a custom guardrail directly to the agent.
The Core Problem
By default, an agent in Microsoft Foundry inherits the guardrail configuration of its underlying model deployment. However, model deployment guardrails typically only evaluate standard User Input and Output hooks. They do not evaluate the outbound payload of a tool execution.
Furthermore, modifying the model deployment's configuration is explicitly restricted by the requirements.
The Solution: Create and Assign an Agent Guardrail
Microsoft Foundry's guardrail framework includes a specialized four-point intervention architecture. Two of these points are exclusively available for agents: Tool call (Preview) and Tool response (Preview). Because an agent-assigned guardrail completely overrides and replaces the deployment-level guardrail for that agent's traffic, you can enforce tool-level scanning cleanly at the application boundary without altering the model deployment.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/guardrails/how-to-create-guardrails
NEW QUESTION # 85
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