Microsoft SC-200 Microsoft Security Operations Analyst Exam Dumps and Practice Test Questions Set 10 Q136-150
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Question 136 :
Your organization wants to detect anomalous activity in cloud applications and prevent data leaks, including sensitive documents being shared outside the organization. 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-native security solution that provides visibility, control, and threat detection across cloud applications. Modern organizations increasingly rely on cloud services, making it essential to monitor user activity and prevent unauthorized sharing of sensitive information. Insider threats, accidental leaks, or compromised accounts can lead to severe data breaches, reputational damage, and regulatory noncompliance.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint secures devices against malware, ransomware, and advanced persistent threats, but does not monitor cloud application activity or enforce data protection policies for cloud workloads. Endpoint security alone cannot detect or prevent data exfiltration through cloud applications.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud applications in use and categorizes them based on compliance and security risk. It applies session-level policies to restrict high-risk behaviors, such as downloading large volumes of sensitive files or uploading them to unsanctioned apps. Behavioral analytics detect anomalies in user activity, such as unusual login times, excessive file access, or abnormal sharing patterns, indicating potential insider threats or compromised accounts. Integration with Microsoft Information Protection ensures sensitive data is automatically classified and labeled to enforce regulatory and organizational compliance requirements. Dashboards provide administrators with actionable insights and alerts to respond proactively. Continuous refinement of policies ensures the organization maintains a proactive and adaptive security posture, addressing emerging threats and reducing the risk of data leaks.
Option C – Azure AD Identity Protection: Identity Protection evaluates sign-in risks and compromised accounts but does not monitor cloud application activity or enforce session-level controls to prevent data exfiltration.
Option D – Microsoft Sentinel: Sentinel aggregates security logs and provides threat correlation and orchestration capabilities, but does not directly prevent data leaks in cloud applications without integration with MCAS.
Implementation steps:
Discover and categorize all cloud applications in use.
Apply session-level policies to prevent high-risk actions.
Integrate with Microsoft Information Protection for automated labeling and protection.
Monitor dashboards and alerts to detect suspicious activity.
Continuously refine policies to address new threats and maintain compliance.
Deploying MCAS ensures organizations can monitor user activity, prevent insider threats, and enforce policies that protect sensitive data across cloud applications, maintaining both security and regulatory compliance. Microsoft Cloud App Security (MCAS) plays a critical role in modern cybersecurity frameworks by offering organizations comprehensive visibility and control over cloud environments. As enterprises increasingly adopt cloud services and Software-as-a-Service (SaaS) applications, the attack surface expands beyond traditional networks and endpoints, creating new opportunities for data breaches, insider threats, and unauthorized access. MCAS addresses these challenges by continuously monitoring user activity, applying adaptive security policies, and leveraging advanced threat detection mechanisms to ensure that sensitive data remains secure.
MCAS functions as a Cloud Access Security Broker (CASB), enabling organizations to gain complete visibility into which cloud applications are in use, how they are being utilized, and the security posture of those applications. Many enterprises unknowingly operate multiple unsanctioned cloud apps, which can introduce compliance risks or create channels for data exfiltration. By discovering and categorizing cloud applications, MCAS allows security teams to identify high-risk services, evaluate their compliance status, and prioritize the remediation of potential threats. This discovery process is critical for organizations aiming to maintain compliance with regulatory standards such as GDPR, HIPAA, or ISO 27001, which mandate strict oversight of how sensitive data is handled and shared.
A key feature of MCAS is its ability to enforce session-level policies that actively prevent risky behaviors in real time. Unlike traditional security solutions that operate post-event, MCAS can intervene during user sessions, restricting actions that could compromise sensitive data. For example, it can prevent users from downloading large volumes of confidential documents, uploading them to unsanctioned apps, or sharing sensitive information externally without authorization. By applying such granular control, MCAS reduces the likelihood of accidental data leakage and helps mitigate insider threats, which remain a significant concern for organizations of all sizes. Insider threats may be unintentional, such as employees mishandling sensitive data, or malicious, stemming from compromised accounts or disgruntled staff. MCAS’s behavioral analytics engine detects anomalies such as unusual login locations, abnormal file access patterns, or unexpected spikes in sharing activity, allowing security teams to respond proactively before incidents escalate.
Integration with Microsoft Information Protection enhances MCAS’s ability to safeguard sensitive data. By automatically classifying and labeling data based on its sensitivity, MCAS ensures that protection policies are applied consistently across all cloud applications. This integration allows for the enforcement of encryption, access restrictions, and sharing controls, reducing the risk of noncompliance and ensuring regulatory obligations are met. The combined capabilities of MCAS and Information Protection provide a robust framework for preventing unauthorized disclosure of intellectual property, financial data, or personally identifiable information, all of which are critical to maintaining organizational trust and operational continuity.
In addition to monitoring and controlling cloud usage, MCAS offers rich analytics and reporting capabilities. Security administrators can access dashboards that highlight suspicious activity, track policy violations, and provide actionable insights into potential threats. These dashboards allow teams to prioritize response efforts, allocate resources efficiently, and develop targeted mitigation strategies. Continuous monitoring and alerting help organizations respond swiftly to emerging threats, reducing dwell time for attackers and minimizing potential damage.
MCAS also supports adaptive and scalable policy management. As organizational needs evolve and cloud usage patterns change, security policies must be continuously refined to address emerging risks. MCAS enables administrators to adjust rules, thresholds, and access controls dynamically, ensuring that the organization maintains a proactive and resilient security posture. By leveraging machine learning and artificial intelligence, MCAS can detect subtle deviations from normal behavior that may indicate compromised accounts or malicious activity, providing early warnings that traditional security systems might miss.
Furthermore, MCAS contributes to a holistic security strategy when used alongside other Microsoft security solutions. While Microsoft Defender for Endpoint protects devices from malware, ransomware, and advanced persistent threats, it does not provide visibility or control over cloud applications. Similarly, Azure AD Identity Protection focuses on identifying risky sign-ins and compromised accounts but lacks the session-level controls necessary to prevent data exfiltration. Microsoft Sentinel aggregates logs and facilitates threat correlation, but without integration with MCAS, it cannot enforce real-time preventative measures in cloud environments. MCAS bridges these gaps, providing proactive controls and continuous monitoring that extend protection beyond endpoints and identities to the broader cloud ecosystem.
Organizations implementing MCAS benefit from a multi-layered security approach that combines discovery, control, analytics, and compliance enforcement. Deployment begins with identifying all cloud applications in use and categorizing them based on risk and compliance status. Session-level policies are then applied to mitigate high-risk behaviors, and integration with Microsoft Information Protection ensures automated labeling and protection of sensitive information. Continuous monitoring through dashboards and alerts allows security teams to detect and respond to anomalies, while adaptive policy management ensures that controls remain effective against evolving threats. By providing visibility into shadow IT, enforcing behavioral policies, and automating data protection, MCAS enables organizations to maintain regulatory compliance, reduce exposure to insider threats, and secure sensitive data in increasingly complex cloud environments.
Ultimately, MCAS empowers organizations to operate confidently in a cloud-first world. Its combination of real-time control, advanced threat detection, behavioral analytics, and integration with broader security ecosystems ensures that sensitive information remains protected, compliance requirements are met, and potential breaches are mitigated before they cause significant damage. By prioritizing proactive monitoring, policy enforcement, and continuous improvement, MCAS strengthens an organization’s overall cybersecurity posture and enables secure, compliant, and efficient use of cloud applications.
Question 137 :
Your organization wants to detect risky sign-ins, compromised accounts, and enforce adaptive authentication measures such as multi-factor authentication based on risk levels. Which solution should be implemented?
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 provides identity risk detection and automated response capabilities to mitigate threats related to compromised accounts and risky sign-ins. Credential-based attacks remain a primary method for breaching organizational systems, making identity protection critical. Identity Protection leverages machine learning, behavioral analytics, and Microsoft threat intelligence to assign risk scores to users and sign-ins, enabling organizations to enforce appropriate response measures.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint protects devices from malware and ransomware, but does not analyze authentication risk or enforce adaptive access controls.
Option B – Azure AD Identity Protection: Identity Protection evaluates risk by analyzing unusual locations, impossible travel events, and logins from anonymous networks. Conditional Access policies can enforce multi-factor authentication for medium-risk users or block access for high-risk accounts until verified. Dashboards provide administrators with actionable insights for investigating risks and refining policies. Automated detection and response reduce manual workloads while maintaining security and regulatory compliance. This ensures that high-risk users are mitigated quickly, preventing account compromise and potential downstream security incidents.
Option C – Microsoft Cloud App Security: MCAS monitors cloud application activity but does not evaluate sign-in risk or enforce adaptive authentication policies independently.
Option D – Microsoft Sentinel: Sentinel provides centralized log aggregation and correlation, but requires integration with Identity Protection to enforce adaptive authentication based on risk.
Implementation steps:
Enable risk detection for users and sign-ins.
Configure Conditional Access policies to respond automatically to detected risks.
Require MFA for medium-risk users and block high-risk accounts until remediated.
Monitor dashboards for trends and investigate high-priority incidents.
Continuously refine risk policies to respond to emerging threats and changes in user behavior.
Deploying Azure AD Identity Protection ensures automated, real-time mitigation of identity risks, reducing account compromise and enhancing overall security posture. Azure AD Identity Protection is an essential component in securing modern digital environments, particularly as organizations increasingly rely on cloud services and remote access. The rise of credential-based attacks, such as phishing, password spray, and brute-force attacks, makes identity security a top priority. Compromised accounts are often the initial vector for ransomware, data theft, or lateral movement within networks. Azure AD Identity Protection addresses these challenges by combining intelligent detection, automated response, and continuous monitoring to protect user identities and organizational resources.
The solution employs advanced analytics to assess risk across user accounts and sign-in attempts. By examining patterns such as unusual geographic login locations, anomalous device usage, and activity from anonymous or untrusted networks, Identity Protection can determine the likelihood that a sign-in or account is compromised. It continuously collects and evaluates signals from Microsoft’s global threat intelligence network, behavioral analytics, and machine learning models. This allows organizations to detect subtle deviations from normal user behavior that might indicate an account is under attack, often before an actual breach occurs.
Once risk is detected, Azure AD Identity Protection enables automated mitigation through Conditional Access policies. These policies can be configured to enforce multi-factor authentication for users with medium-risk scores or to block access entirely for high-risk accounts until proper verification and remediation occur. This automation significantly reduces the reliance on manual intervention and accelerates response times, ensuring that potentially compromised accounts are addressed immediately. By integrating risk evaluation with adaptive access controls, organizations can maintain operational continuity while reducing exposure to identity-based threats.
In addition to risk-based responses, Identity Protection provides actionable insights through centralized dashboards and reports. Administrators can quickly identify high-risk users, track trends in risky sign-ins, and investigate suspicious activity. This visibility supports informed decision-making, helping security teams prioritize incidents and allocate resources effectively. The dashboards also allow organizations to evaluate the effectiveness of their risk policies, providing the ability to fine-tune detection thresholds, update Conditional Access rules, and adapt to evolving threat landscapes.
Continuous monitoring is another key advantage. Identity Protection does not simply respond to incidents after they occur; it proactively tracks account behavior and adjusts risk assessments in real time. This proactive approach reduces the window of opportunity for attackers and limits potential damage from compromised credentials. By continuously refining policies and incorporating new threat intelligence, organizations can maintain a resilient identity security posture even as cyber threats evolve and user behavior changes over time.
Deployment of Azure AD Identity Protection is straightforward yet impactful. Organizations begin by enabling risk detection for all user accounts and sign-ins, ensuring that suspicious activity is automatically flagged. Conditional Access policies are then configured to enforce the appropriate response based on risk level, including requiring additional authentication, limiting access, or triggering notifications to security teams. Security teams can leverage dashboards to monitor ongoing trends, identify emerging threats, and refine policies to address new attack vectors. This holistic approach ensures that identity-related risks are mitigated in real time, reducing the likelihood of account compromise and preventing subsequent security incidents across the organization.
Question 138 :
Your organization wants to proactively protect endpoints against malware, ransomware, and advanced persistent threats, while enabling automated investigation and remediation. 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) is an advanced, enterprise-grade platform designed to protect endpoints from malware, ransomware, and sophisticated attacks such as advanced persistent threats (APTs). The modern threat landscape requires proactive detection, investigation, and automated remediation to minimize operational impact and protect sensitive organizational resources.
Option A – Microsoft Cloud App Security: MCAS provides security for cloud applications and prevents data exfiltration, but does not directly protect endpoints from malware or ransomware.
Option B – Microsoft Sentinel: Sentinel aggregates security telemetry and enables incident orchestration but does not independently prevent or remediate endpoint threats without integration with MDE.
Option C – Microsoft Defender for Endpoint: MDE collects comprehensive telemetry from endpoints, including process execution, network activity, registry changes, and file operations. 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 allows security teams to proactively search for indicators of compromise. Integration with Sentinel provides enterprise-wide visibility, correlation, and orchestration for incident response. Automation reduces manual operational burden and ensures rapid mitigation of threats.
Option D – Azure AD Identity Protection: Identity Protection evaluates identity risks and risky sign-ins but does not secure endpoints against malware or ransomware.
Implementation steps:
Onboard all endpoints to MDE for continuous monitoring.
Enable AIR to automate investigation and remediation.
Conduct advanced hunting to identify hidden threats.
Integrate telemetry with Sentinel for centralized monitoring and orchestration.
Regularly review and refine policies for optimized protection.
Deploying MDE ensures proactive endpoint protection, rapid automated threat response, and reduced operational impact from malware and ransomware attacks.
Question 139 :
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 platform that provides centralized monitoring, threat detection, threat hunting, and automated response. Organizations face complex threats spanning endpoints, cloud applications, and identities. Sentinel enables a unified platform for detecting, correlating, and responding to incidents efficiently and effectively.
Option A – Microsoft Cloud App Security: MCAS monitors cloud application activity but does not provide enterprise-wide SIEM, analytics, or orchestration capabilities.
Option B – Microsoft Sentinel: Sentinel aggregates telemetry from endpoints, cloud apps, and identities. Analytics rules identify anomalies, correlate events, and generate actionable alerts. Threat hunting using Kusto Query Language (KQL) allows security teams to proactively search for hidden threats. Automated playbooks orchestrate responses such as isolating devices, disabling accounts, or sending notifications to security teams. Dashboards provide operational visibility and compliance insights. Sentinel enhances detection, investigation, and response efficiency, improving overall organizational security posture.
Option C – Azure AD Identity Protection: Identity Protection detects authentication risks but does not provide enterprise-wide monitoring or automated incident response.
Option D – Microsoft Defender for Endpoint: MDE protects endpoints but does not independently provide SIEM, threat hunting, or orchestration without Sentinel.
Implementation steps:
Connect telemetry from endpoints, cloud applications, and identities to Sentinel.
Configure analytics rules for event correlation and anomaly detection.
Build dashboards for monitoring and compliance.
Develop automated playbooks for incident response.
Conduct proactive threat hunting to refine security policies and detect emerging threats.
Sentinel provides centralized visibility, detection, and automated response across the organization, improving security operations and operational resilience.
Question 140 :
Your organization wants to prevent ransomware and malware on endpoints by restricting the execution of high-risk scripts, macros, 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) proactively block behaviors that could lead to ransomware or malware infections. ASR rules reduce the attack surface by controlling high-risk scripts, macros, and untrusted executables, providing an additional layer of protection beyond traditional antivirus solutions.
Option A – Microsoft Defender Antivirus: Traditional antivirus provides reactive, signature-based protection but is less effective against zero-day and behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules prevent execution of macros from email attachments, scripts from temporary directories, and untrusted executable files. Integration with MDE provides telemetry, alerts, and automated remediation. ASR rules reduce ransomware propagation, minimize malware impact, and maintain operational efficiency. Deployment requires careful planning to minimize false positives while maximizing protection.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity risks but cannot prevent malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS protects cloud applications but does not prevent endpoint malware execution.
Implementation steps:
Test ASR rules in a controlled environment to reduce false positives.
Gradually deploy ASR rules across endpoints.
Configure automated remediation for detected threats.
Monitor alerts and adjust policies as needed.
Educate users on safe computing practices to complement technical protections.
Deploying MDE with ASR rules ensures behavior-based, proactive protection against ransomware and malware, enhancing organizational security while maintaining operational efficiency.
Question 141 :
Your organization wants to detect unauthorized access to cloud resources, suspicious file activity, and potential data exfiltration in real time. 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-native security platform designed to provide visibility, control, and threat detection across cloud applications. Organizations today heavily rely on cloud services, which introduces the risk of unauthorized access, insider threats, and accidental or malicious data leaks. Detecting these threats in real time is essential to protect sensitive data, ensure compliance, and mitigate reputational and operational risks.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint protects endpoints from malware, ransomware, and advanced persistent threats, but does not provide detailed monitoring of cloud activity or real-time detection of unauthorized file access or data exfiltration within cloud applications. Endpoint protection alone cannot mitigate risks associated with cloud usage.
Option B – Microsoft Cloud App Security: MCAS discovers and categorizes all cloud applications in use, applies conditional access and session policies, and detects anomalous behaviors that may indicate insider threats or compromised accounts. Behavioral analytics track activities such as unusual logins, bulk file downloads, or uploading sensitive documents to unapproved platforms. Integration with Microsoft Information Protection ensures that sensitive data is labeled and protected according to organizational and regulatory requirements. Alerts and dashboards provide actionable insights for security teams to respond proactively. Continuous monitoring and policy refinement help maintain a robust cloud security posture.
Option C – Azure AD Identity Protection: Identity Protection focuses on detecting risky sign-ins and compromised accounts, but does not monitor file activity or data exfiltration within cloud applications.
Option D – Microsoft Sentinel: Sentinel aggregates security logs and enables correlation and automated response, but does not directly monitor user activity or prevent unauthorized data access in cloud applications without integration with MCAS.
Implementation steps:
Discover all cloud applications and assess risk levels.
Configure session-level policies to prevent high-risk activities.
Integrate Microsoft Information Protection for automated labeling and protection.
Monitor dashboards and respond to alerts indicating anomalous activity.
Continuously refine policies to adapt to emerging threats and maintain compliance.
Deploying MCAS ensures proactive detection and mitigation of unauthorized access, suspicious activity, and data exfiltration in cloud applications, strengthening organizational security.
Question 142 :
Your organization wants to detect risky sign-ins, compromised accounts, and enforce adaptive authentication policies, such as multi-factor authentication or blocking access based on risk levels. Which solution should be implemented?
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 assess and respond to identity-related risks. Organizations face constant threats from compromised credentials, phishing attacks, and identity-based breaches. Identity Protection uses machine learning, behavioral analytics, and Microsoft threat intelligence to calculate risk levels for users and sign-ins. Automated response capabilities allow organizations to enforce appropriate actions based on detected risk.
Option A – Microsoft Defender for Endpoint: While effective for malware and ransomware protection, Defender for Endpoint does not evaluate authentication risks or enforce adaptive access policies.
Option B – Azure AD Identity Protection: Identity Protection evaluates sign-in risk by analyzing unusual locations, anonymous IP addresses, and impossible travel events. Conditional Access policies can require multi-factor authentication for medium-risk users or block high-risk users until verified. Dashboards provide actionable insights for administrators to investigate incidents and adjust risk policies. Automation reduces manual intervention, allowing timely mitigation of threats and improving security posture while maintaining regulatory compliance. Identity Protection provides real-time risk assessment and automated enforcement, ensuring compromised accounts are quickly detected and contained.
Option C – Microsoft Cloud App Security: MCAS monitors cloud applications and detects suspicious activity, but does not enforce adaptive authentication policies for risky sign-ins independently.
Option D – Microsoft Sentinel: Sentinel collects and correlates security data but requires integration with Identity Protection to enforce adaptive access controls based on risk.
Implementation steps:
Enable risk detection for users and sign-ins.
Configure Conditional Access policies to enforce MFA or block access based on risk scores.
Monitor dashboards for trends and investigate high-risk incidents.
Continuously refine risk policies to respond to emerging threats and changing user behavior.
Deploying Azure AD Identity Protection ensures automated, real-time mitigation of identity risks, reducing account compromise and strengthening organizational security.
Question 143 :
Your organization wants to proactively protect endpoints against malware, ransomware, and advanced persistent threats while enabling automated investigation and remediation. 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) is an enterprise-grade endpoint protection platform providing defense against malware, ransomware, and advanced persistent threats. Proactive detection, automated investigation, and remediation are critical to minimizing operational impact and safeguarding sensitive organizational assets.
Option A – Microsoft Cloud App Security: MCAS protects cloud applications and data but does not secure endpoints against malware, ransomware, or APTs.
Option B – Microsoft Sentinel: Sentinel is a cloud-native SIEM and SOAR platform that aggregates logs and orchestrates responses, but cannot independently protect endpoints without integration with MDE.
Option C – Microsoft Defender for Endpoint: MDE collects telemetry from endpoints, including process execution, network activity, registry changes, and file operations. Its Automated Investigation and Remediation (AIR) engine investigates alerts, isolates compromised devices, terminates malicious processes, quarantines suspicious files, and restores system configurations. Advanced hunting allows security teams to proactively identify hidden threats. Integration with Sentinel enables enterprise-wide monitoring and response orchestration. Automation reduces operational burden and ensures rapid mitigation of threats.
Option D – Azure AD Identity Protection: Identity Protection detects risky sign-ins and compromised accounts, but does not protect endpoints from malware or ransomware.
Implementation steps:
Onboard endpoints to MDE for continuous telemetry collection.
Enable AIR for automated investigation and remediation.
Conduct advanced hunting to detect potential threats.
Integrate telemetry with Sentinel for enterprise-wide visibility.
Regularly refine security policies to maintain effective protection.
Deploying MDE ensures proactive endpoint security, automated threat response, and reduced operational impact from ransomware and malware attacks.
Question 144 :
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 that centralizes monitoring, detection, and response across endpoints, cloud applications, and identities. Modern security operations require a unified platform to detect, correlate, and respond to threats efficiently across multiple domains. Sentinel provides these capabilities, allowing organizations to strengthen operational security and improve response times.
Option A – Microsoft Cloud App Security: MCAS monitors cloud applications and enforces session-level policies but does not provide 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 identification of threats. Automated playbooks orchestrate responses, including device isolation, account disablement, and notifications to security teams. Dashboards provide operational visibility and compliance insights. Sentinel allows a consolidated view of organizational security, improving detection, investigation, and response efficiency.
Option C – Azure AD Identity Protection: Identity Protection detects risky sign-ins but does not provide enterprise-wide monitoring or automated incident response.
Option D – Microsoft Defender for Endpoint: MDE protects endpoints but does not independently provide SIEM, threat hunting, or orchestration without Sentinel integration.
Implementation steps:
Connect telemetry from endpoints, cloud applications, and identities.
Configure analytics rules for anomaly detection and event correlation.
Build dashboards for operational monitoring and compliance.
Develop automated playbooks for incident response.
Conduct proactive threat hunting to refine policies and detect emerging threats.
Sentinel provides centralized visibility, detection, and automated response, improving organizational security posture and operational resilience.
Question 145 :
Your organization wants to prevent ransomware and malware on endpoints by restricting the execution of high-risk scripts, macros, 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) proactively block behaviors that could lead to ransomware or malware infections. ASR rules reduce the attack surface by restricting high-risk scripts, macros, and untrusted executable files, complementing traditional signature-based antivirus solutions.
Option A – Microsoft Defender Antivirus: Traditional antivirus provides reactive, signature-based protection but is less effective against zero-day and behavior-based attacks.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules prevent execution of macros from email attachments, scripts from temporary directories, and untrusted executable files. Integration with MDE provides telemetry, alerts, and automated remediation. ASR rules reduce ransomware spread, minimize malware impact, and maintain operational efficiency while avoiding disruption to legitimate operations. Proper testing and gradual deployment help minimize false positives and ensure effective protection.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity risks but cannot prevent malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS protects cloud applications but does not prevent endpoint malware execution.
Implementation steps:
Test ASR rules in a controlled environment to reduce 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, significantly reducing ransomware and malware risks while maintaining operational efficiency.
Question 146 :
Your organization wants to detect unusual login patterns, identify compromised accounts, and enforce conditional access policies to mitigate identity risks. Which solution should be deployed?
A) Microsoft Cloud App Security
B) Azure AD Identity Protection
C) Microsoft Defender for Endpoint
D) Microsoft Sentinel
Answer: B) Azure AD Identity Protection
Explanation:
Azure AD Identity Protection provides a comprehensive solution to detect risky sign-ins, compromised accounts, and enforce adaptive access controls through conditional access policies. Identity risks are a primary attack vector for organizations because compromised accounts can lead to unauthorized access, data breaches, and potential regulatory violations. Identity Protection leverages machine learning algorithms, Microsoft threat intelligence, and behavioral analytics to assign risk levels to user accounts and sign-ins.
Option A – Microsoft Cloud App Security: MCAS monitors cloud applications for suspicious activity but does not directly enforce adaptive authentication policies based on identity risk levels.
Option B – Azure AD Identity Protection: Identity Protection evaluates sign-in behavior, detecting anomalies such as impossible travel, logins from unfamiliar locations, or sign-ins from anonymous IP addresses. Conditional Access policies allow administrators to respond dynamically to detected risks by requiring multi-factor authentication, blocking access, or limiting session capabilities for high-risk users. Dashboards provide actionable insights for security operations teams to investigate incidents and refine policies. Automated risk mitigation ensures rapid response to emerging threats and reduces the manual burden on security administrators. By integrating with reporting and alerting mechanisms, Identity Protection supports compliance and governance requirements, providing visibility into user behavior and potential account compromises.
Option C – Microsoft Defender for Endpoint: MDE secures endpoints against malware and ransomware but does not analyze authentication risks or enforce adaptive access controls.
Option D – Microsoft Sentinel: Sentinel aggregates logs from multiple sources, providing a centralized SIEM and orchestration platform, but it relies on Identity Protection for automated risk-based authentication enforcement.
Implementation steps:
Enable risk detection for user accounts and sign-ins.
Configure Conditional Access policies to respond based on risk levels.
Require MFA for medium-risk accounts and block high-risk users until verification.
Monitor dashboards and alerts for trends and anomalies.
Continuously refine policies to adapt to emerging identity threats.
Deploying Azure AD Identity Protection ensures proactive detection and automated response to identity risks, preventing account compromise and strengthening organizational security posture.
Question 147 :
Your organization wants to prevent ransomware infections and malware propagation on endpoints by restricting the execution of untrusted applications, macros, and scripts. Which solution 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) are designed to proactively block high-risk behaviors that could lead to ransomware or malware infections. ASR reduces the attack surface by controlling potentially dangerous scripts, macros, and untrusted executable files. Endpoint protection is critical because malware often leverages user-initiated actions, such as opening malicious attachments or executing untrusted applications, to propagate across the network.
Option A – Microsoft Defender Antivirus: Traditional antivirus provides reactive, signature-based protection. While it is effective against known threats, it is limited against zero-day attacks and behavior-based malware techniques.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules enforce policy-based restrictions on high-risk behaviors, including executing macros from email attachments, running scripts in temporary directories, and launching untrusted executables. Integration with MDE provides continuous monitoring, telemetry collection, and automated remediation. ASR rules reduce ransomware spread, prevent malware execution, and maintain operational efficiency while minimizing disruption to legitimate operations. Proper testing ensures minimal false positives and optimal protection.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity-based risks but does not prevent malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS protects cloud applications but cannot enforce execution restrictions on endpoint devices.
Implementation steps:
Test ASR rules in a controlled environment to reduce false positives.
Gradually deploy ASR rules across endpoints.
Configure automated remediation to respond to detected threats.
Monitor alerts and adjust ASR policies as necessary.
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 risks and operational impact.
Question 148 :
Your organization wants to monitor cloud applications for suspicious user behavior, detect insider threats, and prevent 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 providing visibility, control, and threat detection across cloud applications. Insider threats, accidental data leaks, or compromised accounts pose significant risks to organizations that rely on cloud services. MCAS enables proactive detection and mitigation of these risks by analyzing user activity and enforcing policies to prevent high-risk behaviors.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint protects against endpoint-based threats but does not monitor cloud application activity or enforce insider threat policies.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud applications in use, categorizing them based on security and compliance risk. Behavioral analytics identify unusual activity, including abnormal login patterns, mass downloads, or unauthorized sharing of sensitive files. Session controls enforce policy-based restrictions to prevent data exfiltration. Integration with Microsoft Information Protection enables automatic labeling and protection of sensitive information, ensuring regulatory compliance. Dashboards and alerts provide security teams with actionable insights, enabling rapid response to potential threats. Continuous refinement of policies ensures adaptive protection against emerging threats, improving overall cloud security posture.
Option C – Azure AD Identity Protection: Identity Protection evaluates authentication risks but does not monitor file access or prevent insider threats in cloud applications.
Option D – Microsoft Sentinel: Sentinel aggregates security logs and provides threat correlation, but does not enforce real-time cloud application security without integration with MCAS.
Implementation steps:
Discover and classify all cloud applications in use.
Implement session-level controls to restrict high-risk user actions.
Integrate Microsoft Information Protection for automated data labeling and protection.
Monitor dashboards and respond to alerts indicating suspicious behavior.
Continuously refine policies to maintain adaptive protection against emerging threats.
Deploying MCAS ensures real-time detection and prevention of insider threats and accidental data leaks in cloud environments, maintaining both security and compliance.
Question 149 :
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 solution that provides centralized monitoring, threat detection, proactive threat hunting, and automated incident response across endpoints, cloud applications, and identities. Organizations face increasingly complex threats that require a unified platform to efficiently detect, correlate, and respond to incidents.
Option A – Microsoft Cloud App Security: MCAS monitors cloud applications and enforces session-level policies but does not provide enterprise-wide SIEM capabilities, threat hunting, or automated orchestration.
Option B – Microsoft Sentinel: Sentinel collects telemetry from multiple sources, including endpoints, cloud applications, and identities. Analytics rules detect anomalies, correlate events, and generate actionable alerts. Threat hunting using Kusto Query Language (KQL) enables proactive identification of potential threats. Automated playbooks orchestrate responses such as isolating devices, disabling accounts, or sending notifications to security teams. Dashboards provide operational visibility, compliance reporting, and insights into the overall security posture. Sentinel enables centralized monitoring, threat hunting, and automated incident response, enhancing organizational resilience and operational efficiency.
Option C – Azure AD Identity Protection: Identity Protection focuses on detecting risky sign-ins and compromised accounts, but does not provide enterprise-wide SIEM or orchestration capabilities.
Option D – Microsoft Defender for Endpoint: MDE protects endpoints but does not independently provide centralized SIEM, threat hunting, or automated orchestration without integration with Sentinel.
Implementation steps:
Connect telemetry from endpoints, cloud applications, and identities to Sentinel.
Configure analytics rules for anomaly detection and event correlation.
Build dashboards for operational monitoring and compliance reporting.
Develop automated playbooks for incident response.
Conduct proactive threat hunting to detect emerging threats and refine security policies.
Deploying Sentinel provides a centralized platform for security operations, improving threat detection, investigation, and automated response across the organization.
Question 150 :
Your organization wants to prevent ransomware and malware on endpoints by continuing the execution of high-risk macros, scripts, 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 by blocking the execution of high-risk scripts, macros, and untrusted executables, addressing the most common vectors for endpoint compromise.
Option A – Microsoft Defender Antivirus: Traditional antivirus relies primarily on signature-based protection and is less effective against zero-day or behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules restrict execution of macros from email attachments, scripts in temporary directories, and untrusted executables. Integration with MDE enables telemetry collection, alerting, and automated remediation. ASR rules prevent ransomware propagation, minimize malware impact, and maintain operational efficiency. Careful testing and phased deployment reduce false positives and ensure optimal protection without disrupting legitimate operations.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity risks but cannot control malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS secures cloud applications but does not prevent malware execution on endpoints.
Implementation steps:
Test ASR rules in a controlled environment to reduce 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 protection against ransomware and malware, reducing security risk while maintaining operational efficiency.