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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: 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 |
| Topic 3: Secure compute | 20-25% | - Implement security for servers and virtual machines (VMs) - Implement security for application platform services - Implement security for AI workloads |
| Topic 4: Secure storage, databases, and networking | 25-30% | - Implement security for databases - Implement security for Azure network services - Implement security for storage accounts |
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NEW QUESTION # 114
You have an Azure subscription that contains the following resources:
*An Azure SQL Database logical server named Server1 that contains a database named DB1
*An Azure SQL Managed Instance named Instance1 that contains a database named DB2 You need to configure database auditing. The solution must meet the following requirements:
*Ensure that audit data is centrally available in a location that supports for KQL queries.
*Minimize ongoing administrative effort as additional databases are added.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Auditing scope: Enable on each server or instance; Auditing destination: A Log Analytics workspace
Server-level or instance-level auditing minimizes administration because new databases under the same logical server or managed instance inherit the auditing configuration. The destination must support KQL queries, which points to a Log Analytics workspace, not local database-level files or ad-hoc storage-only output. This design gives the security team a central query plane for audit events while avoiding repeated manual configuration each time another Azure SQL database is added. For this domain, least privilege means granting only the required data operation or allowing only the required network flow. The correct response avoids shared keys, broad peering, general contributor roles, or log-only controls when the scenario demands prevention, routing, event triggering, or account-specific configuration. 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 > Configure database auditing; Microsoft Learn > Azure SQL auditing destinations and Log Analytics.
NEW QUESTION # 115
You have an Azure subscription that contains a blob container named cont1. Con1 ' has the access policies shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 116
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have a Microsoft Sentinel workspace.
You have a multi-tier Security Operations Center (SOC) team.
You need to ensure that all new security incidents are assigned immediately to the Tier 1 analysts group and flagged for triage.
Solution: You create an analytics rule.
Does this meet the goal?
Answer: A
Explanation:
An analytics rule detects threats and generates alerts or incidents from matching data. It does not automatically assign all newly created incidents to an analyst group or apply triage tags. An automation rule is required because it can trigger when an incident is created and immediately assign an owner and tag the incident for triage.
Reference:
https://learn.microsoft.com/en-us/azure/sentinel/create-manage-use-automation-rules?tabs=defender-portal%2Conboarded
https://learn.microsoft.com/en-us/azure/sentinel/create-analytics-rules?tabs=defender-portal
NEW QUESTION # 117
You have an Azure Storage account named storage1 that hosts a blob container used by an internal application.
You plan to enable a third-party workflow system to upload blobs to storage1.
You need to provide time-bound, least-privilege upload access to the third-party system.
Which authorization method should you use?
Answer: D
Explanation:
The best authorization method is to configure the workflow system to use a user delegation shared access signature (SAS).
A user delegation SAS fulfills all three requirements perfectly: it is time-bound (expires automatically), provides least-privilege access (restricted to the specific container/blob and "write" permissions), and is designed for third-party systems that cannot use Entra identities User Delegation SAS.
Reference:
https://learn.microsoft.com/en-us/azure/azure-functions/storage-considerations
NEW QUESTION # 118
You have an Azure subscription.
You configure Microsoft Sentinel to use multiple data sources.
You need to create analytic rules that meet the following requirements:
* Rule1: Automatically match Common Event Format (CEF) logs and syslog data with domain, IP address, and URL indicators.
* Rule2: Use Microsoft proprietary algorithms
Which type of detection should you use for each rule? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
For Rule1 , use Threat intelligence . Microsoft Sentinel provides Microsoft Defender Threat Intelligence matching analytics that automatically correlates threat indicators with supported log data. Microsoft explicitly states that this capability matches CEF logs, Syslog data, DNS events, and other sources against domain, IPv4, and URL threat indicators . For example, entries in the CommonSecurityLog table can be matched against URL, domain, and IPv4 indicators, while Syslog entries can be evaluated against domain and IPv4 threat intelligence. Microsoft Learn For Rule2 , use Machine learning (ML) behavioral analytics . Microsoft describes these rules as using Microsoft ' s proprietary machine-learning algorithms to generate high-fidelity alerts and incidents. They analyze behavioral patterns and detect anomalies that aren ' t easily represented by manually authored static queries. Microsoft Learn Fusion also uses machine learning, but its specific purpose is to correlate multiple lower-fidelity alerts and events into multistage attack incidents. The wording "use Microsoft proprietary algorithms" maps specifically to Microsoft ' s description of ML behavioral analytics .
NEW QUESTION # 119
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