Microsoft SC-200 Microsoft Security Operations Analyst Exam Dumps and Practice Test Questions Set 11 Q151-165
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Question 151 :
Your organization wants to monitor all cloud applications in use, detect shadow IT, and enforce policies to prevent unsanctioned applications from accessing corporate data. Which solution should be deployed?
A) Microsoft Defender for Endpoint
B) Microsoft Cloud App Security
C) Azure AD Identity Protection
D) Microsoft Sentinel
Answer: B) Microsoft Cloud App Security
Explanation:
Microsoft Cloud App Security (MCAS) is designed to provide complete visibility into cloud applications used within an organization. Shadow IT—unauthorized applications that employees use without IT approval—poses a significant risk because these applications may not comply with organizational security policies or regulatory requirements. Detecting and controlling shadow IT ensures sensitive data remains protected and reduces the risk of data breaches.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint focuses on protecting devices from malware and ransomware but does not monitor cloud application usage or enforce policies for shadow IT.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud applications in use, evaluates their risk level based on factors like compliance, data residency, and security configuration, and provides actionable reports for IT administrators. Policies can be implemented to restrict access to unsanctioned applications or alert administrators when sensitive data is being stored or shared in high-risk applications. Integration with Conditional Access and Microsoft Information Protection enables enforcement of controls at the session level, preventing data exfiltration and unauthorized access. Behavioral analytics detect anomalies such as mass file downloads or unusual sharing activity, enabling rapid mitigation of insider threats or compromised accounts. Continuous monitoring and policy refinement ensure that shadow IT is identified and managed proactively, maintaining regulatory compliance and reducing organizational risk.
Option C – Azure AD Identity Protection: Identity Protection evaluates sign-in risks but does not provide visibility or control over shadow IT or unsanctioned cloud applications.
Option D – Microsoft Sentinel: Sentinel aggregates security logs and enables correlation and orchestration, but does not directly detect or control unsanctioned cloud applications without integration with MCAS.
Implementation steps:
Discover all cloud applications in use across the organization.
Evaluate each application’s risk profile and categorize them accordingly.
Implement policies to restrict access to high-risk or unsanctioned applications.
Integrate MCAS with Conditional Access and Microsoft Information Protection for additional control.
Monitor alerts and dashboards to detect anomalous activity and refine policies regularly.
Deploying MCAS ensures organizations maintain visibility over all cloud applications, control shadow IT, and enforce policies to protect sensitive corporate data. Microsoft Cloud App Security (MCAS) plays a pivotal role in the modern cloud-first environment by providing organizations with the ability to gain comprehensive visibility and control over the cloud applications being utilized across their network. In today’s dynamic digital landscape, employees frequently adopt cloud applications without formal IT approval, commonly referred to as “shadow IT.” While such adoption may improve operational flexibility and productivity, it introduces substantial risks to organizational security. These risks include potential data breaches, non-compliance with regulatory standards, exposure of sensitive corporate information, and increased likelihood of insider threats. MCAS addresses these risks by offering continuous monitoring, assessment, and control over all cloud applications, both sanctioned and unsanctioned.
A key component of MCAS is its ability to discover shadow IT within an organization. By analyzing network traffic and integrating with existing identity and access management solutions, MCAS can identify applications that employees access without IT authorization. Once discovered, each application is evaluated against a comprehensive risk framework that includes compliance standards, data residency policies, security configurations, and historical threat intelligence. This evaluation assigns a risk score to every application, enabling administrators to prioritize actions based on potential exposure. High-risk applications—those that lack encryption, are non-compliant with data privacy regulations, or have a history of security incidents—can then be flagged for further scrutiny or restricted from use within the organization.
Beyond discovery and risk assessment, MCAS empowers IT teams to implement robust policy enforcement. Organizations can create detailed policies that restrict access to applications based on risk scores, user roles, device compliance, or location. For example, access to a high-risk unsanctioned application can be automatically blocked, or users may be prompted to authenticate through additional verification steps. In addition, real-time alerts notify administrators when sensitive data is being stored or shared in high-risk applications, allowing for immediate intervention before potential data exfiltration occurs. MCAS also enables organizations to enforce controls at the session level through integration with Microsoft Information Protection and Conditional Access. This ensures that even during active sessions, sensitive information cannot be inadvertently or maliciously exposed.
Behavioral analytics is another critical aspect of MCAS, providing the ability to detect anomalous user activity that may indicate a compromised account or insider threat. By continuously analyzing patterns of file access, download behavior, sharing activities, and login locations, MCAS can identify unusual behaviors such as bulk data downloads, sharing files outside the organization, or accessing cloud applications at abnormal hours. This proactive detection allows organizations to respond rapidly, minimizing the impact of potential breaches or malicious actions. Over time, these analytics improve through machine learning, helping to refine anomaly detection and reduce false positives, which ensures that security operations teams can focus on legitimate threats rather than routine user activity.
Integration with other Microsoft security solutions amplifies the effectiveness of MCAS. By working alongside Azure Active Directory (Azure AD), Conditional Access policies can enforce restrictions based on user identity, device health, and session risk. Linking MCAS with Microsoft Information Protection enables organizations to automatically classify, label, and protect sensitive data across all cloud applications, even in unsanctioned or third-party services. Additionally, MCAS feeds its insights into broader security orchestration platforms, allowing organizations to correlate cloud activity with endpoint telemetry, threat intelligence, and network logs. This integration creates a holistic security posture where cloud, endpoint, and identity layers work together to prevent data leakage and mitigate risk.
Continuous monitoring and policy refinement are fundamental to maintaining an effective cloud security strategy. As organizations adopt new applications, update workflows, and face evolving threat landscapes, policies must be regularly evaluated and adjusted. MCAS dashboards provide administrators with actionable insights, highlighting trends, identifying high-risk applications, and reporting on policy enforcement effectiveness. Regular reviews of these insights allow organizations to adapt quickly, ensuring that shadow IT is continuously managed and that compliance with internal and external regulations is maintained.
Ultimately, deploying Microsoft Cloud App Security ensures that organizations gain full visibility over all cloud applications in use, allowing them to detect and manage shadow IT proactively. By evaluating risk, enforcing policies, monitoring behavior, and integrating with other Microsoft security solutions, MCAS reduces the likelihood of unauthorized access, data breaches, and regulatory non-compliance. The platform empowers IT and security teams to maintain control in an increasingly complex cloud environment, supporting both operational flexibility and security resilience. By adopting MCAS, organizations not only safeguard sensitive information but also foster a culture of responsible cloud usage, where productivity gains are achieved without compromising security or compliance. This proactive approach to cloud security is essential in today’s landscape, where threats are increasingly sophisticated and data is a critical organizational asset.
Question 152 :
Your organization wants to detect anomalous sign-ins, risky users, and compromised credentials, and automatically enforce multi-factor authentication or block access when necessary. Which solution should be deployed?
A) Microsoft Defender for Endpoint
B) Azure AD Identity Protection
C) Microsoft Cloud App Security
D) Microsoft Sentinel
Answer: B) Azure AD Identity Protection
Explanation:
Azure AD Identity Protection is a cloud-based service designed to evaluate risk associated with user accounts and sign-ins. Compromised credentials are a primary attack vector for many security breaches, making real-time risk assessment and automated enforcement critical. Identity Protection uses machine learning and Microsoft threat intelligence to assess sign-in risk and detect suspicious behavior, enabling automated or conditional responses.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint protects endpoints from malware and ransomware but does not assess authentication risk or enforce adaptive access controls.
Option B – Azure AD Identity Protection: Identity Protection evaluates risk by analyzing factors such as unusual login locations, anonymous IP addresses, impossible travel events, and credential exposure. Conditional Access policies allow administrators to automatically require multi-factor authentication for medium-risk users or block access for high-risk users until remediation. Dashboards provide security teams with actionable insights to investigate incidents and adjust policies. Automation reduces the time between risk detection and mitigation, enhancing security posture and maintaining compliance with regulatory standards. Identity Protection also allows reporting and auditing of risky activity, providing visibility into potential account compromises and the effectiveness of enforcement policies.
Option C – Microsoft Cloud App Security: MCAS monitors user activity and cloud app access but does not independently enforce risk-based adaptive authentication policies.
Option D – Microsoft Sentinel: Sentinel aggregates and correlates security data but requires integration with Identity Protection to enforce automated adaptive authentication.
Implementation steps:
Enable risk detection for user accounts and sign-ins.
Configure Conditional Access policies to enforce MFA or block access based on risk levels.
Monitor dashboards for alerts and trends.
Investigate high-risk sign-ins and compromised accounts.
Continuously refine risk policies to respond to emerging threats.
Deploying Azure AD Identity Protection ensures real-time risk assessment, automated enforcement of authentication policies, and reduced likelihood of account compromise. Azure AD Identity Protection is an essential component of a modern identity-driven security strategy, particularly in environments where cloud services and remote access are prevalent. Compromised credentials remain one of the most common methods attackers use to gain unauthorized access to organizational resources, making proactive risk detection and adaptive response mechanisms critical. Identity Protection addresses this challenge by continuously monitoring user accounts, analyzing sign-in activity, and assessing risk using advanced algorithms powered by Microsoft’s threat intelligence. The service identifies patterns that indicate potential compromise, such as logins from unusual geographic locations, logins from anonymous or unfamiliar IP addresses, or activity that violates normal user behavior patterns. It also identifies accounts whose credentials may have been exposed on the dark web or through known breaches.
Once risk is detected, Azure AD Identity Protection enables organizations to enforce conditional responses automatically. For instance, if a medium-risk sign-in is detected, the system can require additional verification steps, such as multi-factor authentication, before granting access. High-risk scenarios can trigger automatic blocking of access until the user’s identity is verified or remediated, ensuring that potential threats are neutralized before they can cause damage. This adaptive approach significantly reduces the window of opportunity for attackers and minimizes the likelihood of account compromise.
The platform also integrates seamlessly with Conditional Access policies, allowing security administrators to define granular rules based on user risk level, device compliance, location, and other contextual factors. By combining identity risk assessment with policy-driven enforcement, organizations can achieve a balance between security and usability. Users may be prompted for additional verification only when necessary, avoiding unnecessary friction while maintaining robust protection against unauthorized access.
Azure AD Identity Protection also provides rich dashboards and reporting tools, giving security teams clear visibility into risky activity across the organization. These dashboards highlight trends in sign-in risks, flag high-risk users, and provide actionable insights for investigation. Analysts can drill down into specific events to understand the nature of the risk, determine whether it represents a legitimate threat, and take corrective action. Over time, the platform’s automated risk analysis, combined with human oversight, enhances the organization’s overall security posture by allowing continuous refinement of policies and risk thresholds based on evolving threat patterns.
In addition to real-time monitoring and enforcement, Identity Protection supports auditing and compliance requirements by logging risk events and providing detailed reporting on actions taken. This capability helps organizations demonstrate adherence to regulatory standards and internal security policies, which is critical in industries where data privacy and security regulations are stringent. Security teams can leverage these reports to evaluate the effectiveness of their risk mitigation strategies, adjust policies where necessary, and ensure that all accounts are consistently monitored for potential compromise.
Ultimately, deploying Azure AD Identity Protection ensures that organizations can identify and respond to account-based threats proactively. By combining continuous risk assessment, automated adaptive responses, granular policy enforcement, and comprehensive reporting, the service reduces the likelihood of credential-based attacks and enhances the resilience of the organization’s identity and access management framework. It provides both operational efficiency and strategic protection, empowering security teams to manage identity risks in a rapidly evolving digital landscape while maintaining compliance and minimizing disruption to legitimate users.
Question 153 :
Your organization wants to proactively protect endpoints from malware, ransomware, and advanced persistent threats while enabling automated investigation and remediation of security alerts. Which solution should be implemented?
A) Microsoft Cloud App Security
B) Microsoft Sentinel
C) Microsoft Defender for Endpoint
D) Azure AD Identity Protection
Answer: C) Microsoft Defender for Endpoint
Explanation:
Microsoft Defender for Endpoint (MDE) is an enterprise-grade solution for proactive endpoint security. Threats such as malware, ransomware, and advanced persistent threats (APTs) require real-time detection, automated investigation, and rapid remediation to minimize operational impact and protect sensitive organizational assets.
Option A – Microsoft Cloud App Security: MCAS protects cloud applications but does not provide endpoint protection against malware, ransomware, or APTs.
Option B – Microsoft Sentinel: Sentinel aggregates security logs and orchestrates incident response, but cannot independently secure endpoints without integration with MDE.
Option C – Microsoft Defender for Endpoint: MDE collects comprehensive telemetry from endpoints, including process execution, network activity, registry modifications, and file access. Its Automated Investigation and Remediation (AIR) engine automatically investigates alerts, isolates compromised devices, terminates malicious processes, quarantines suspicious files, and restores system configurations. Advanced hunting enables proactive identification of potential threats. Integration with Sentinel allows for enterprise-wide monitoring and orchestration. Automation reduces the operational burden on security teams and ensures timely threat mitigation.
Option D – Azure AD Identity Protection: Identity Protection mitigates identity risks but does not protect against malware or ransomware on endpoints.
Implementation steps:
Onboard all endpoints to MDE for continuous monitoring and telemetry collection.
Enable AIR to automate investigation and remediation.
Conduct advanced hunting to proactively detect hidden threats.
Integrate MDE with Sentinel for centralized monitoring and orchestration.
Regularly review and update security policies for optimized endpoint protection.
Deploying MDE ensures proactive endpoint protection, automated threat investigation, and remediation, significantly reducing the risk of ransomware and malware incidents.
Question 154 :
Your organization wants to centralize security monitoring, perform threat hunting, and orchestrate automated incident response across endpoints, cloud applications, and identities. Which solution should be deployed?
A) Microsoft Cloud App Security
B) Microsoft Sentinel
C) Azure AD Identity Protection
D) Microsoft Defender for Endpoint
Answer: B) Microsoft Sentinel
Explanation:
Microsoft Sentinel is a cloud-native SIEM and SOAR platform that provides centralized security monitoring, threat detection, proactive threat hunting, and automated incident response across endpoints, cloud applications, and identities. Organizations face increasingly complex threats spanning multiple domains, necessitating a unified platform to efficiently detect, correlate, and respond to incidents.
Option A – Microsoft Cloud App Security: MCAS provides monitoring and control of cloud application activity but does not offer enterprise-wide SIEM, threat hunting, or automated orchestration.
Option B – Microsoft Sentinel: Sentinel collects telemetry from endpoints, cloud apps, and identity sources. Analytics rules identify anomalies, correlate events, and generate actionable alerts. Threat hunting using Kusto Query Language (KQL) enables proactive investigation and detection of hidden threats. Automated playbooks orchestrate responses, including device isolation, account disablement, and notifications to security teams. Dashboards provide operational visibility and compliance reporting. Sentinel enhances detection, investigation, and response efficiency, improving organizational security posture and operational resilience.
Option C – Azure AD Identity Protection: Identity Protection evaluates risky sign-ins but does not provide centralized SIEM or automated orchestration across multiple domains.
Option D – Microsoft Defender for Endpoint: MDE secures endpoints but does not independently provide enterprise-wide SIEM, threat hunting, or orchestration without integration with Sentinel.
Implementation steps:
Connect telemetry from endpoints, cloud applications, and identity sources to Sentinel.
Configure analytics rules for anomaly detection and event correlation.
Develop dashboards for operational monitoring and compliance reporting.
Create automated playbooks for incident response orchestration.
Conduct proactive threat hunting to refine policies and detect emerging threats.
Deploying Sentinel centralizes security operations, improves detection and response capabilities, and enhances overall organizational resilience.
Question 155 :
Your organization wants to prevent ransomware and malware on endpoints by restricting the execution of high-risk scripts, macros, and untrusted applications. Which solution and feature should be deployed?
A) Microsoft Defender Antivirus
B) Microsoft Defender for Endpoint with Attack Surface Reduction (ASR) rules
C) Azure AD Identity Protection
D) Microsoft Cloud App Security
Answer: B) Microsoft Defender for Endpoint with Attack Surface Reduction (ASR) rules
Explanation:
Attack Surface Reduction (ASR) rules in Microsoft Defender for Endpoint (MDE) provide proactive, behavior-based protection against ransomware and malware. ASR rules block high-risk behaviors such as executing macros from email attachments, running scripts in temporary directories, and launching untrusted executables. These measures reduce the attack surface on endpoints and mitigate risks associated with ransomware propagation and malware infection.
Option A – Microsoft Defender Antivirus: Traditional antivirus is reactive and primarily signature-based, offering limited protection against zero-day threats and behavior-based malware.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules restrict execution of risky scripts, macros, and untrusted executables. Integration with MDE enables telemetry collection, alerting, and automated remediation. Phased deployment ensures minimal false positives and operational disruption. ASR rules reduce ransomware propagation, prevent malware execution, and improve endpoint security posture while maintaining operational efficiency.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity risks but does not control malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS secures cloud applications but cannot enforce endpoint execution restrictions.
Implementation steps:
Test ASR rules in a controlled environment to minimize false positives.
Deploy ASR rules gradually across endpoints.
Configure automated remediation for detected threats.
Monitor alerts and adjust ASR policies as needed.
Educate users on safe computing practices to complement technical protections.
Deploying MDE with ASR rules ensures proactive, behavior-based endpoint protection against ransomware and malware, significantly reducing security risk while maintaining operational efficiency.
Question 156 :
Your organization wants to detect unusual cloud activity, including bulk downloads, sharing of sensitive information, and potentially compromised accounts. Which solution should be deployed?
A) Microsoft Defender for Endpoint
B) Microsoft Cloud App Security
C) Azure AD Identity Protection
D) Microsoft Sentinel
Answer: B) Microsoft Cloud App Security
Explanation:
Microsoft Cloud App Security (MCAS) is a cloud access security broker (CASB) designed to provide visibility, control, and threat detection across cloud applications. Detecting unusual activity in cloud environments is critical because unauthorized access, insider threats, and compromised accounts can lead to data breaches, compliance violations, and reputational damage. MCAS provides granular insights into user behavior and enforces policies to prevent risky activities.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint secures devices from malware and ransomware but does not monitor cloud application activity or detect anomalous user behavior in cloud apps.
Option B – Microsoft Cloud App Security: MCAS continuously monitors cloud applications for risky user behavior. Behavioral analytics detect anomalies such as bulk downloads, unusual sharing patterns, or access from suspicious IP addresses. Suspicious activity triggers alerts and can enforce automated remediation, such as restricting access or requiring re-authentication. MCAS integrates with Microsoft Information Protection to label and protect sensitive files automatically, ensuring compliance with regulations. Organizations can enforce session-level policies to control user interactions, preventing accidental or malicious data exfiltration. Dashboards provide visibility into cloud app usage, enabling security teams to prioritize investigations and refine policies continuously. By combining discovery, threat detection, and policy enforcement, MCAS provides comprehensive protection against insider threats and compromised accounts.
Option C – Azure AD Identity Protection: Identity Protection detects risky sign-ins and compromised credentials, but does not analyze user activity within cloud applications.
Option D – Microsoft Sentinel: Sentinel centralizes security monitoring and orchestration but requires integration with MCAS to detect cloud-specific anomalous behavior.
Implementation steps:
Discover all cloud applications used in the organization and classify their risk levels.
Implement policies to monitor and control high-risk activities, such as bulk downloads or unusual sharing.
Integrate with Microsoft Information Protection for automated data labeling and protection.
Configure alerts and remediation for suspicious activities.
Continuously monitor dashboards and refine policies to maintain adaptive protection.
Deploying MCAS ensures organizations detect and mitigate risky cloud activities, protect sensitive information, and maintain compliance.
Question 157 :
Your organization wants to prevent ransomware attacks on endpoints by restricting execution of high-risk scripts, macros, and untrusted applications. Which solution and feature should be implemented?
A) Microsoft Defender Antivirus
B) Microsoft Defender for Endpoint with Attack Surface Reduction (ASR) rules
C) Azure AD Identity Protection
D) Microsoft Cloud App Security
Answer: B) Microsoft Defender for Endpoint with Attack Surface Reduction (ASR) rules
Explanation:
Attack Surface Reduction (ASR) rules in Microsoft Defender for Endpoint (MDE) provide proactive, behavior-based protection against ransomware and malware. ASR reduces the attack surface on endpoints by preventing high-risk scripts, macros, and untrusted executables from executing. These measures are critical because ransomware often spreads through user-initiated actions such as opening email attachments, running untrusted applications, or executing scripts in temporary directories.
Option A – Microsoft Defender Antivirus: Traditional antivirus provides reactive, signature-based protection and is limited against zero-day or behavior-based attacks.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules block high-risk execution paths, such as macros in email attachments, scripts in temporary directories, and untrusted executables. Integration with MDE enables telemetry collection, alerting, and automated remediation. Phased deployment ensures minimal false positives, and continuous monitoring allows security teams to adjust rules based on operational needs. ASR rules significantly reduce the risk of ransomware propagation and malware infections while maintaining operational efficiency.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity risks but does not control malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS secures cloud applications but does not enforce execution restrictions on endpoints.
Implementation steps:
Test ASR rules in a controlled environment to minimize false positives.
Deploy ASR rules gradually across endpoints.
Configure automated remediation for detected threats.
Monitor alerts and refine ASR rules as necessary.
Educate users on safe computing practices to complement technical protections.
Deploying MDE with ASR rules ensures proactive endpoint protection against ransomware and malware while maintaining operational efficiency and reducing security risk.
Question 158 :
Your organization wants to detect risky sign-ins, compromised accounts, and enforce multi-factor authentication automatically when necessary. Which solution should be deployed?
A) Microsoft Defender for Endpoint
B) Azure AD Identity Protection
C) Microsoft Cloud App Security
D) Microsoft Sentinel
Answer: B) Azure AD Identity Protection
Explanation:
Azure AD Identity Protection evaluates user and sign-in risk using machine learning, behavioral analytics, and Microsoft threat intelligence. Compromised accounts are a major attack vector, making automated detection and response essential for maintaining organizational security. Identity Protection allows organizations to enforce adaptive access policies, such as multi-factor authentication (MFA), based on the calculated risk.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint protects devices but does not analyze authentication risks or enforce adaptive access policies.
Option B – Azure AD Identity Protection: Identity Protection assesses risks by analyzing anomalous sign-in activity, impossible travel events, and credential exposures. Conditional Access policies enable automatic enforcement of MFA for medium-risk users or block access for high-risk accounts. Dashboards provide actionable insights for security teams, enabling timely investigation and mitigation. Automation reduces response time and operational burden, improving security posture while maintaining regulatory compliance. Identity Protection supports auditing and reporting, providing visibility into risky activities and mitigation effectiveness.
Option C – Microsoft Cloud App Security: MCAS monitors cloud activity but does not independently enforce risk-based authentication policies.
Option D – Microsoft Sentinel: Sentinel centralizes security monitoring but relies on Identity Protection to enforce automated adaptive authentication.
Implementation steps:
Enable risk detection for users and sign-ins.
Configure Conditional Access policies to enforce MFA or block access based on risk.
Monitor dashboards and investigate high-risk incidents.
Continuously refine risk policies to adapt to emerging threats.
Use reporting to ensure compliance and provide visibility into account security.
Deploying Azure AD Identity Protection ensures proactive detection and mitigation of identity risks, preventing account compromise and strengthening organizational security posture.
Question 159 :
Your organization wants centralized monitoring, threat hunting, and automated incident response across endpoints, cloud applications, and identities. Which solution should be implemented?
A) Microsoft Cloud App Security
B) Microsoft Sentinel
C) Azure AD Identity Protection
D) Microsoft Defender for Endpoint
Answer: B) Microsoft Sentinel
Explanation:
Microsoft Sentinel is a cloud-native SIEM and SOAR solution providing centralized security monitoring, threat detection, threat hunting, and automated incident response across multiple organizational domains. Modern enterprises require a unified platform to efficiently detect, investigate, and respond to threats spanning endpoints, cloud applications, and identities.
Option A – Microsoft Cloud App Security: MCAS provides monitoring and control of cloud application activity but does not offer enterprise-wide SIEM, threat hunting, or automated orchestration.
Option B – Microsoft Sentinel: Sentinel collects telemetry from endpoints, cloud apps, and identity sources. Analytics rules detect anomalies, correlate events, and generate actionable alerts. Threat hunting with Kusto Query Language (KQL) enables proactive investigation and detection of hidden threats. Automated playbooks orchestrate responses, such as isolating devices, disabling accounts, or notifying security teams. Dashboards provide operational visibility and compliance insights. Sentinel centralizes monitoring, detection, and response, improving organizational security posture and operational efficiency.
Option C – Azure AD Identity Protection: Identity Protection detects risky sign-ins but does not provide centralized SIEM or automated orchestration across multiple domains.
Option D – Microsoft Defender for Endpoint: MDE secures endpoints but cannot independently provide enterprise-wide SIEM, threat hunting, or automated orchestration without Sentinel integration.
Implementation steps:
Connect telemetry from endpoints, cloud applications, and identity sources to Sentinel.
Configure analytics rules for anomaly detection and event correlation.
Develop dashboards for operational monitoring and compliance.
Create automated playbooks for incident response.
Conduct proactive threat hunting to refine policies and detect emerging threats.
Deploying Sentinel ensures centralized monitoring, threat detection, and automated response across organizational security domains.
Question 160 :
Your organization wants to prevent ransomware and malware on endpoints by controlling the execution of high-risk macros, scripts, and untrusted executables. Which solution and feature should be deployed?
A) Microsoft Defender Antivirus
B) Microsoft Defender for Endpoint with Attack Surface Reduction (ASR) rules
C) Azure AD Identity Protection
D) Microsoft Cloud App Security
Answer: B) Microsoft Defender for Endpoint with Attack Surface Reduction (ASR) rules
Explanation:
Attack Surface Reduction (ASR) rules in Microsoft Defender for Endpoint (MDE) provide proactive, behavior-based protection against ransomware and malware. ASR blocks the execution of high-risk scripts, macros, and untrusted executables, mitigating the most common vectors for endpoint compromise.
Option A – Microsoft Defender Antivirus: Traditional antivirus is reactive and primarily signature-based, providing limited protection against zero-day or behavior-based attacks.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules restrict execution of risky scripts, macros, and untrusted executables. Integration with MDE enables telemetry collection, alerting, and automated remediation. Phased deployment reduces false positives, and continuous monitoring ensures optimal protection without disrupting legitimate operations. ASR rules significantly reduce ransomware propagation, prevent malware execution, and improve endpoint security posture.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity risks but does not control malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS secures cloud applications but cannot enforce execution restrictions on endpoints.
Implementation steps:
Test ASR rules in a controlled environment to minimize false positives.
Deploy ASR rules gradually across endpoints.
Configure automated remediation for detected threats.
Monitor alerts and refine ASR rules as necessary.
Educate users on safe computing practices to complement technical protections.
Deploying MDE with ASR rules ensures proactive protection against ransomware and malware, reducing security risk while maintaining operational efficiency.
Question 161 :
Your organization wants to detect compromised user accounts and enforce adaptive authentication policies based on risk levels to prevent unauthorized access. Which solution should be deployed?
A) Microsoft Defender for Endpoint
B) Azure AD Identity Protection
C) Microsoft Cloud App Security
D) Microsoft Sentinel
Answer: B) Azure AD Identity Protection
Explanation:
Azure AD Identity Protection is designed to evaluate the risk associated with user accounts and sign-ins using machine learning, behavioral analytics, and Microsoft threat intelligence. Compromised accounts are a significant attack vector, potentially allowing attackers to access sensitive data, deploy ransomware, or pivot across networks. By detecting risky sign-ins and users, Identity Protection enables organizations to enforce adaptive access controls automatically.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint secures devices against malware and ransomware but does not assess sign-in risks or enforce adaptive authentication policies.
Option B – Azure AD Identity Protection: Identity Protection evaluates sign-ins for anomalies such as impossible travel, login attempts from unfamiliar locations, and use of leaked credentials. It calculates a risk level for each user and provides Conditional Access integration to automatically enforce policies. Medium-risk users may be required to perform multi-factor authentication (MFA), while high-risk users may be blocked from accessing resources until remediation. Security dashboards and reports provide visibility into risky accounts, allowing administrators to investigate incidents and refine policies. Automation ensures rapid response to identity threats, reducing the time between detection and mitigation, which is critical for preventing account compromise and maintaining compliance with regulatory requirements. Identity Protection also supports auditing and reporting, helping organizations meet internal security standards and external compliance mandates.
Option C – Microsoft Cloud App Security: MCAS monitors cloud app activity and enforces session policies but does not directly evaluate sign-in risks or enforce adaptive authentication.
Option D – Microsoft Sentinel: Sentinel provides centralized monitoring, analytics, and incident orchestration but relies on Identity Protection to enforce risk-based adaptive access policies.
Implementation steps:
Enable risk detection and sign-in monitoring for all users.
Configure Conditional Access policies to enforce MFA or block access based on risk levels.
Monitor dashboards and alerts for high-risk sign-ins and users.
Investigate incidents and remediate compromised accounts.
Continuously refine risk policies to address emerging identity threats.
Deploying Azure AD Identity Protection allows proactive detection and mitigation of identity risks, strengthening security posture and reducing the likelihood of unauthorized access.
Question 162 :
Your organization wants to monitor cloud applications for risky user behavior, insider threats, and accidental data leaks. Which solution should be implemented?
A) Microsoft Defender for Endpoint
B) Microsoft Cloud App Security
C) Azure AD Identity Protection
D) Microsoft Sentinel
Answer: B) Microsoft Cloud App Security
Explanation:
Microsoft Cloud App Security (MCAS) is a cloud-native security solution that provides visibility, threat detection, and control over cloud application activity. Insider threats, accidental data leaks, and compromised accounts are common causes of data breaches in cloud environments, making proactive monitoring essential. MCAS enables organizations to detect risky behaviors and enforce policies to protect sensitive data.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint secures endpoints from malware and ransomware but does not provide cloud application activity monitoring or insider threat detection.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud applications in use, assesses their risk, and provides actionable insights to administrators. Behavioral analytics detect unusual activity such as bulk downloads, unauthorized sharing, or access from suspicious locations. Policies can enforce session restrictions, block high-risk actions, and protect sensitive data. Integration with Microsoft Information Protection enables automatic labeling and protection of files containing sensitive information. Alerts provide real-time notifications of suspicious behavior, allowing security teams to investigate incidents promptly. Dashboards provide a comprehensive view of cloud app usage, helping organizations identify shadow IT, maintain compliance, and refine policies continuously.
Option C – Azure AD Identity Protection: Identity Protection evaluates risky sign-ins and compromised accounts but does not monitor cloud app activity or enforce session-level controls.
Option D – Microsoft Sentinel: Sentinel aggregates security telemetry and orchestrates responses, but requires integration with MCAS to detect cloud-specific threats and insider activity.
Implementation steps:
Discover all cloud applications and classify their risk levels.
Implement policies to restrict risky actions, such as bulk downloads or external sharing.
Integrate with Microsoft Information Protection for automated data labeling.
Configure alerts and automated responses for detected risks.
Monitor dashboards and refine policies regularly to maintain adaptive protection.
Deploying MCAS ensures visibility into cloud application usage, detection of insider threats, and enforcement of policies to prevent accidental data leaks.
Question 163 :
Your organization wants to proactively protect endpoints against malware, ransomware, and advanced persistent threats while enabling automated investigation and remediation of alerts. Which solution should be deployed?
A) Microsoft Cloud App Security
B) Microsoft Sentinel
C) Microsoft Defender for Endpoint
D) Azure AD Identity Protection
Answer: C) Microsoft Defender for Endpoint
Explanation:
Microsoft Defender for Endpoint (MDE) provides enterprise-grade endpoint security, focusing on proactive protection, automated investigation, and remediation. Endpoints are a primary attack surface for malware, ransomware, and advanced persistent threats (APTs), making real-time detection and response critical to reducing operational risk.
Option A – Microsoft Cloud App Security: MCAS monitors cloud applications but does not protect endpoints from malware or ransomware.
Option B – Microsoft Sentinel: Sentinel provides centralized monitoring, analytics, and orchestration, but does not secure endpoints independently.
Option C – Microsoft Defender for Endpoint: MDE collects endpoint telemetry, including process execution, network connections, registry changes, and file activity. Its Automated Investigation and Remediation (AIR) engine investigates alerts, isolates compromised devices, terminates malicious processes, and restores system configurations. Advanced hunting allows proactive detection of hidden threats. Integration with Sentinel provides enterprise-wide monitoring and automated orchestration. Automation reduces the operational burden on security teams, ensuring the timely mitigation of malware, ransomware, and APTs.
Option D – Azure AD Identity Protection: Identity Protection mitigates identity risks but does not provide endpoint protection.
Implementation steps:
Onboard all endpoints to MDE for continuous monitoring.
Enable automated investigation and remediation (AIR) for alerts.
Conduct advanced hunting to proactively identify threats.
Integrate with Sentinel for centralized monitoring and incident orchestration.
Continuously review and update endpoint security policies.
Deploying MDE ensures proactive protection, automated investigation, and remediation, reducing exposure to malware, ransomware, and APTs while maintaining operational efficiency.
Question 164 :
Your organization wants centralized monitoring, threat hunting, and automated incident response across endpoints, cloud applications, and identities. Which solution should be deployed?
A) Microsoft Cloud App Security
B) Microsoft Sentinel
C) Azure AD Identity Protection
D) Microsoft Defender for Endpoint
Answer: B) Microsoft Sentinel
Explanation:
Microsoft Sentinel is a cloud-native SIEM and SOAR platform that centralizes security monitoring, threat detection, proactive threat hunting, and automated incident response across endpoints, cloud applications, and identities. Organizations face complex, multi-domain threats that require a unified platform for efficient detection, investigation, and response.
Option A – Microsoft Cloud App Security: MCAS provides monitoring and policy enforcement for cloud applications but does not provide enterprise-wide SIEM, threat hunting, or automated orchestration.
Option B – Microsoft Sentinel: Sentinel aggregates telemetry from endpoints, cloud apps, and identity sources. Analytics rules detect anomalies, correlate events, and generate actionable alerts. Threat hunting with Kusto Query Language (KQL) allows proactive detection of hidden threats. Automated playbooks orchestrate responses, such as isolating devices, disabling accounts, or notifying security teams. Dashboards provide operational visibility and compliance insights. Sentinel enhances organizational security posture by centralizing monitoring, detection, and automated response.
Option C – Azure AD Identity Protection: Identity Protection evaluates risky sign-ins but does not provide centralized SIEM or orchestration across multiple domains.
Option D – Microsoft Defender for Endpoint: MDE secures endpoints but cannot independently provide enterprise-wide SIEM or threat hunting without Sentinel integration.
Implementation steps:
Connect telemetry from endpoints, cloud applications, and identity sources to Sentinel.
Configure analytics rules to detect anomalies and correlate events.
Develop dashboards for monitoring and compliance reporting.
Create automated playbooks for incident response orchestration.
Conduct proactive threat hunting to detect emerging threats and refine policies.
Deploying Sentinel provides centralized security operations, improving threat detection, investigation, and response across all organizational security domains.
Question 165 :
Your organization wants to prevent ransomware and malware on endpoints by controlling the execution of high-risk macros, scripts, and untrusted applications. Which solution and feature should be deployed?
A) Microsoft Defender Antivirus
B) Microsoft Defender for Endpoint with Attack Surface Reduction (ASR) rules
C) Azure AD Identity Protection
D) Microsoft Cloud App Security
Answer: B) Microsoft Defender for Endpoint with Attack Surface Reduction (ASR) rules
Explanation:
Attack Surface Reduction (ASR) rules in Microsoft Defender for Endpoint (MDE) provide proactive, behavior-based protection against ransomware and malware. ASR prevents execution of high-risk macros, scripts, and untrusted executables, addressing the most common vectors for endpoint compromise.
Option A – Microsoft Defender Antivirus: Traditional antivirus is reactive and signature-based, offering limited protection against zero-day or behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules restrict execution of risky scripts, macros, and untrusted executables. Integration with MDE provides telemetry collection, alerting, and automated remediation. Phased deployment reduces false positives, and continuous monitoring ensures optimal protection without operational disruption. ASR rules significantly reduce ransomware propagation, prevent malware execution, and improve endpoint security posture while maintaining operational efficiency.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity risks but does not control malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS secures cloud applications but does not enforce execution restrictions on endpoints.
Implementation steps:
Test ASR rules in a controlled environment to minimize false positives.
Deploy ASR rules gradually across endpoints.
Configure automated remediation for detected threats.
Monitor alerts and refine ASR policies as needed.
Educate users on safe computing practices to complement technical protections.
Deploying MDE with ASR rules ensures proactive protection against ransomware and malware, reducing security risk while maintaining operational efficiency.