Microsoft SC-200 Microsoft Security Operations Analyst Exam Dumps and Practice Test Questions Set 8 Q106-120
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Question 106 :
Your organization wants to automatically detect compromised user accounts, risky sign-ins, and enforce adaptive access policies in real-time. 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 robust platform designed to detect, assess, and respond to identity-based threats in real-time. Modern security challenges increasingly target user credentials because compromised identities can provide attackers access to a wide range of enterprise resources. Identity Protection evaluates user sign-ins, accounts, and behaviors using advanced machine learning algorithms, risk-based scoring, and Microsoft’s global threat intelligence to determine the likelihood of account compromise.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint is focused on device and endpoint protection. While it provides malware, ransomware, and behavioral threat detection, it does not monitor authentication events or enforce adaptive access policies based on sign-in risk. Endpoint security is essential, but does not replace identity risk management.
Option B – Azure AD Identity Protection: Identity Protection provides granular risk assessment for both sign-ins and user accounts. Risk-based Conditional Access policies allow organizations to automatically require multi-factor authentication for medium-risk users or block high-risk users until remediation steps are completed. Administrators gain insights through dashboards and reports, allowing them to prioritize risk investigations, mitigate potential breaches, and maintain regulatory compliance. Identity Protection’s automated response capabilities reduce manual intervention and enhance overall organizational security posture.
Option C – Microsoft Cloud App Security: MCAS focuses on monitoring cloud application usage, enforcing session-level controls, and detecting anomalous cloud behavior. It does not independently enforce adaptive access policies for identity-based risks.
Option D – Microsoft Sentinel: Sentinel provides SIEM and SOAR capabilities, aggregating logs and correlating events across multiple domains. While Sentinel can integrate with Identity Protection for automated responses, it does not natively assess or enforce identity risk policies on its own.
Implementation steps:
Enable user and sign-in risk detection in Identity Protection.
Configure Conditional Access policies to enforce adaptive responses based on risk scores.
Require MFA for medium-risk users and block high-risk users until remediation.
Monitor dashboards and reports to identify trends and high-risk accounts.
Continuously refine risk policies to adapt to emerging threat patterns.
Azure AD Identity Protection ensures real-time mitigation of identity threats, reducing the likelihood of account compromise while streamlining security operations. Azure AD Identity Protection is a comprehensive security solution specifically designed to address the growing threat of identity compromise in modern enterprise environments. In today’s digital landscape, identities are often the primary targets for attackers because gaining access to a user account can provide a gateway to critical systems, sensitive data, and broader network resources. Identity-based attacks, such as credential theft, phishing, brute-force attempts, or credential stuffing, have become increasingly sophisticated, and organizations need tools that can detect, assess, and respond to these threats proactively. Azure AD Identity Protection offers a combination of advanced machine learning algorithms, risk-based assessments, and real-time monitoring to identify unusual or potentially harmful behavior before it leads to a security breach.
The platform operates on the principle that not all security events carry the same level of risk. By analyzing user sign-ins, account activity, and other telemetry signals, Identity Protection assigns risk scores to both users and sign-in events. This allows organizations to apply policies that are adaptive and proportional to the detected risk. For instance, medium-risk users may be prompted for multi-factor authentication (MFA) to verify their identity, while high-risk users can be temporarily blocked until an administrator confirms the legitimacy of their account. These automated and conditional responses help reduce the window of opportunity for attackers and lower the likelihood of successful compromise, all while minimizing disruption to legitimate users.
One of the significant advantages of Azure AD Identity Protection is its ability to provide centralized visibility and reporting. Security administrators can monitor real-time dashboards that display risk trends, the number of compromised or risky accounts, and geographic patterns of suspicious sign-ins. These insights allow for better prioritization of investigative and remedial actions, helping teams focus on the most critical threats. Over time, these dashboards can also reveal recurring patterns, such as repeated login attempts from specific regions or devices, helping organizations proactively adjust security policies and preemptively block emerging threats.
Another key feature is the integration of Identity Protection with Conditional Access policies. This integration enables organizations to enforce adaptive security measures based on risk levels dynamically. Policies can be configured to require MFA, limit access to certain applications, or block access entirely for users exhibiting high-risk behavior. This risk-based approach not only strengthens security but also ensures compliance with regulatory requirements by enforcing protective measures in line with the sensitivity of data and user roles.
Unlike endpoint-focused solutions such as Microsoft Defender for Endpoint, which primarily monitor devices for malware, ransomware, and behavioral threats, Identity Protection is focused entirely on the identity layer. It detects anomalies like atypical sign-in locations, impossible travel scenarios where a user logs in from geographically distant locations within a short time frame, and sign-ins from infected or unmanaged devices. Similarly, while Microsoft Cloud App Security monitors cloud applications and data usage, it does not enforce identity-based policies directly. Identity Protection fills this gap by focusing on the user identity as the central point of security, which is increasingly important as more organizations embrace remote work and cloud-first strategies.
Additionally, Azure AD Identity Protection’s machine learning algorithms continually learn from global sign-in patterns and known attack vectors. This continuous learning allows the system to identify subtle changes in user behavior that might indicate a compromised account. Over time, the algorithms become more accurate, reducing false positives and enabling a more efficient and targeted security response. Organizations can leverage these insights to educate users, strengthen internal security practices, and refine access policies to mitigate emerging risks.
Implementation of Identity Protection is straightforward but requires careful planning to maximize its effectiveness. Administrators should first enable risk detection features for user accounts and sign-in events. Once activated, risk-based Conditional Access policies should be defined, specifying the actions for various risk levels. Organizations can enforce MFA for medium-risk users, block high-risk users until verification, and continuously monitor user behavior and risk trends. Regular policy review is essential to adjust thresholds, incorporate new intelligence, and ensure that security measures evolve alongside emerging threat patterns.
Azure AD Identity Protection also plays a critical role in broader security orchestration. While tools like Microsoft Sentinel can ingest alerts and logs from Identity Protection to provide enterprise-wide correlation and response, Identity Protection itself automates much of the initial risk assessment and remediation process. This automation reduces the administrative burden on security teams and ensures that protective measures are applied consistently and in real time, even when manual intervention is not immediately available.
By focusing on identity risk, Azure AD Identity Protection addresses one of the most exploited attack surfaces in modern enterprises. Its combination of real-time monitoring, risk-based adaptive policies, machine learning insights, and automated response mechanisms enables organizations to mitigate threats efficiently while maintaining user productivity. In an era where compromised credentials are a leading cause of data breaches, leveraging Identity Protection not only strengthens an organization’s security posture but also supports compliance requirements, operational resilience, and overall business continuity.
Question 107 :
Your organization wants to gain visibility into all cloud applications, detect anomalies in user activity, and prevent data exfiltration. Which solution is most appropriate?
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 that provides comprehensive visibility, control, and threat detection for cloud applications. With the rapid adoption of SaaS and cloud services, organizations face increased risks of unauthorized access, insider threats, and accidental data leakage. MCAS provides proactive monitoring, anomaly detection, and enforcement mechanisms to mitigate these risks.
Option A – Microsoft Defender for Endpoint: While Defender for Endpoint protects endpoints from malware and ransomware, it does not monitor or control user activity within cloud applications. Endpoint security alone cannot address risks associated with cloud data access and sharing.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud applications used within the organization and classifies them based on risk. Session-level controls prevent risky actions, such as mass downloads, unauthorized sharing, and uploads to unsanctioned applications. Integration with Microsoft Information Protection ensures sensitive data is automatically labeled and protected according to policy. Behavioral analytics detect anomalous patterns like unusual login locations, sudden spikes in file access, or sharing activity that may indicate compromised accounts or insider threats. Dashboards and alerts allow rapid investigation and continuous policy refinement.
Option C – Azure AD Identity Protection: Identity Protection focuses on detecting risky sign-ins and compromised accounts but does not provide real-time monitoring or policy enforcement for cloud application activity.
Option D – Microsoft Sentinel: Sentinel aggregates logs from multiple sources and enables detection of anomalies, but does not enforce session-level controls or prevent data exfiltration without MCAS integration.
Implementation steps:
Discover all cloud applications in use and assess associated risks.
Apply session-level controls to restrict high-risk actions.
Integrate Microsoft Information Protection for automatic classification and data protection.
Monitor alerts and dashboards to identify anomalous activity promptly.
Refine policies continuously to maintain compliance and minimize organizational risk.
MCAS ensures comprehensive cloud security, combining visibility, real-time enforcement, and anomaly detection to protect sensitive organizational data from unauthorized access and insider threats. Microsoft Cloud App Security (MCAS) is a pivotal solution for organizations adopting cloud-first strategies and increasingly relying on Software as a Service (SaaS) applications. As enterprises move critical business workloads to cloud environments, the attack surface expands beyond traditional on-premises networks, creating new vulnerabilities. Unauthorized access, data exfiltration, insider threats, and accidental exposure of sensitive information are now central concerns for security teams. MCAS addresses these challenges by providing unified visibility, control, and protection for cloud applications, making it an essential component of a modern cybersecurity framework.
At the core of MCAS is its ability to discover all cloud applications in use within an organization, often referred to as Shadow IT discovery. Employees frequently use cloud services without formal IT approval, leading to unmonitored data flows and potential compliance violations. MCAS continuously monitors traffic to cloud applications, identifies unsanctioned applications, and evaluates the risk profile of each application. This enables security teams to make informed decisions about which applications are safe to use and which require intervention. By classifying cloud applications based on risk, organizations gain a strategic overview of their digital ecosystem and can prioritize resources to secure the most critical or high-risk applications.
MCAS excels in controlling access and enforcing policies at the session level. Session controls provide granular governance over how users interact with cloud applications in real time. For instance, actions such as downloading large volumes of sensitive documents, sharing files with external users, or uploading corporate data to unsanctioned platforms can be blocked or monitored based on organizational policies. These real-time controls are vital because they prevent risky behavior from causing harm before it escalates into a data breach. Moreover, session-level enforcement ensures that security measures are applied dynamically according to user activity, the sensitivity of the data involved, and the context of the session, including device type, location, and network security posture.
Question 108 :
Your organization wants to protect endpoints from 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 security platform for enterprise endpoint protection. With the proliferation of sophisticated malware, ransomware, and advanced persistent threats (APTs), organizations require proactive and automated solutions capable of detecting threats and responding quickly without heavy manual effort.
Option A – Microsoft Cloud App Security: MCAS is designed to monitor cloud applications and enforce policies for data protection, but it does not provide endpoint malware protection or automated remediation for local threats.
Option B – Microsoft Sentinel: Sentinel functions as a SIEM/SOAR platform, aggregating logs and orchestrating incident response. It enhances visibility across multiple domains but cannot directly prevent or remediate malware or ransomware on endpoints without integration with MDE.
Option C – Microsoft Defender for Endpoint: MDE collects comprehensive telemetry from endpoints, including process execution, registry changes, file operations, and network activity. Its Automated Investigation and Remediation (AIR) engine investigates alerts, isolates compromised devices, terminates malicious processes, quarantines files, and restores system configurations. Advanced hunting capabilities enable proactive threat detection, and integration with Sentinel provides enterprise-wide analytics, correlation, and automated response. MDE reduces operational impact and improves security efficiency by automating threat mitigation processes.
Option D – Azure AD Identity Protection: Identity Protection focuses on authentication and identity risks, and it does not protect endpoints from malware or ransomware.
Implementation steps:
Onboard all endpoints to MDE for continuous monitoring.
Enable the AIR engine to automate investigations and remediation.
Perform advanced hunting to detect suspicious behaviors proactively.
Integrate with Sentinel for centralized management and incident orchestration.
Continuously review policies to optimize threat detection and remediation effectiveness.
Deploying MDE ensures proactive endpoint protection, reduces the risk of ransomware or malware damage, and provides automated remediation to maintain a strong security posture.
Question 109 :
Your organization wants centralized monitoring, proactive 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 providing centralized security monitoring, analytics, threat hunting, and automated response orchestration. In complex enterprise environments, threats often span multiple domains, requiring a unified solution capable of correlating events from endpoints, identities, and cloud applications. Sentinel allows organizations to detect, investigate, and respond to incidents efficiently.
Option A – Microsoft Cloud App Security: MCAS monitors cloud applications and enforces session-level policies, but it does not provide enterprise-wide SIEM capabilities or automated orchestration for multiple security domains.
Option B – Microsoft Sentinel: Sentinel aggregates telemetry from endpoints, cloud apps, and identities. Analytics rules detect anomalies, correlate events, and generate actionable alerts. Threat hunting using Kusto Query Language (KQL) allows proactive identification of threats. Automated playbooks enable rapid response, such as isolating devices, disabling accounts, or notifying security teams. Dashboards provide real-time visibility and reporting for operational monitoring and compliance purposes. Sentinel’s unified approach improves detection, investigation, and response efficiency, providing centralized security operations management.
Option C – Azure AD Identity Protection: Identity Protection monitors identity risks but does not offer centralized monitoring or automated incident response across multiple domains.
Option D – Microsoft Defender for Endpoint: MDE protects endpoints and collects telemetry, but without integration with Sentinel, it does not provide enterprise-wide SIEM capabilities or orchestration.
Implementation steps:
Connect all relevant telemetry sources—endpoints, cloud apps, identities—to Sentinel.
Configure analytics rules for anomaly detection and event correlation.
Build dashboards to monitor operational and compliance metrics.
Develop automated playbooks for response actions.
Conduct proactive threat hunting to identify and mitigate emerging threats.
Sentinel provides a unified, enterprise-wide platform to monitor, detect, investigate, and respond to threats across all major domains, enhancing overall security operations.
Question 110 :
Your organization wants to prevent ransomware and malware on endpoints by restricting the execution of untrusted scripts, macros, and executable files. 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) are designed to prevent high-risk behaviors on endpoints that can lead to ransomware or malware infections. ASR rules provide behavior-based protection to complement traditional signature-based antivirus solutions, focusing on reducing the attack surface by controlling execution of potentially harmful scripts, macros, and executables.
Option A – Microsoft Defender Antivirus: Traditional antivirus provides reactive, signature-based protection, which is insufficient for preventing zero-day attacks and sophisticated behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules block risky behaviors such as executing macros from email attachments, running scripts from temporary folders, and opening untrusted executables. Integration with MDE provides telemetry, alerts, and automated remediation capabilities. This proactive approach minimizes ransomware propagation, reduces malware impact, and enables security teams to respond efficiently while maintaining operational effectiveness.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity-based risks and anomalous sign-ins but does not prevent malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS enforces policies for cloud application usage but cannot prevent execution of malware on endpoints.
Implementation steps:
Test ASR rules in a controlled environment to reduce false positives.
Gradually deploy ASR rules organization-wide while monitoring user impact.
Configure automated remediation for detected threats.
Monitor alerts and refine ASR rules regularly.
Educate users on safe computing practices to complement technical protections.
Deploying MDE with ASR rules provides proactive, behavior-based endpoint protection, minimizing the risk of malware and ransomware while maintaining operational efficiency and security resilience.
Question 111 :
Your organization wants to automatically detect and respond to risky sign-ins, including those from anonymous IP addresses, unfamiliar locations, or impossible travel scenarios. 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 specifically designed to manage identity-related risks and mitigate the threat of compromised accounts. User credentials are one of the most commonly targeted attack vectors, and detecting risky sign-ins is critical to safeguarding organizational assets. Identity Protection evaluates sign-ins using machine learning algorithms, risk-based scoring, and global threat intelligence to determine the probability that a sign-in is suspicious or compromised.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint focuses on protecting devices from malware, ransomware, and endpoint threats but does not assess authentication risk or detect anomalies in sign-in behavior.
Option B – Azure AD Identity Protection: Identity Protection evaluates user sign-ins for risk factors such as unfamiliar IP addresses, geolocation anomalies, and impossible travel scenarios. It assigns risk scores to sign-ins and user accounts, which can then trigger automated responses through Conditional Access policies. For medium-risk users, MFA can be enforced; for high-risk accounts, access can be blocked until verification. Administrators can review risk dashboards, investigate alerts, and refine policies to adapt to evolving threats. Automated mitigation reduces manual intervention, strengthens security posture, and supports compliance objectives.
Option C – Microsoft Cloud App Security: MCAS provides visibility into cloud applications and enforces session-level controls, but does not independently assess sign-in risks or enforce adaptive access policies based on authentication risk.
Option D – Microsoft Sentinel: Sentinel aggregates security data and correlates events, but without integration with Identity Protection, it cannot automatically detect risky sign-ins or enforce Conditional Access policies.
Implementation steps:
Enable user and sign-in risk detection in Identity Protection.
Configure Conditional Access policies that respond automatically based on risk levels.
Enforce MFA for medium-risk users and block access for high-risk users until verified.
Monitor dashboards and reports to track risk trends and prioritize investigation.
Continuously adjust risk thresholds and policies to respond to new attack techniques.
By deploying Azure AD Identity Protection, organizations gain automated, real-time detection and response to risky sign-ins, significantly reducing the risk of account compromise and enhancing identity security.
Question 112 :
Your organization needs to detect anomalous activity in cloud applications, enforce policies to protect sensitive data, and monitor unsanctioned applications. Which solution is most appropriate?
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 providing comprehensive visibility, control, and threat detection for cloud applications. The adoption of SaaS platforms and other cloud services introduces security risks such as unauthorized access, insider threats, and accidental or intentional data leakage. MCAS mitigates these risks by offering real-time monitoring, behavioral analytics, and policy enforcement.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint provides protection against malware and ransomware on endpoints, but does not monitor cloud application activity or enforce data protection policies within cloud environments.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud applications used in the organization and classifies them according to risk level. It enforces session-level controls, preventing risky activities such as mass downloads, uploading sensitive data to unapproved applications, or sharing content with external parties. Integration with Microsoft Information Protection allows for automatic labeling and classification of sensitive data to ensure compliance with organizational and regulatory policies. Behavioral analytics detect anomalies, including unusual login patterns, high-volume file downloads, or access from unusual locations, indicating potential insider threats or compromised accounts. Alerts and dashboards provide insights for immediate investigation and policy adjustments, ensuring proactive cloud security management.
Option C – Azure AD Identity Protection: Identity Protection focuses on identity and authentication risks, not on monitoring or controlling cloud application activities or enforcing data protection policies.
Option D – Microsoft Sentinel: Sentinel aggregates security logs for analysis and can detect anomalies, but cannot enforce real-time session-level controls or prevent data exfiltration without integration with MCAS.
Implementation steps:
Discover and categorize all cloud applications in use.
Enforce session-level policies to prevent high-risk actions.
Integrate with Microsoft Information Protection for automated labeling and data protection.
Monitor alerts and dashboards to identify anomalies in cloud activity.
Regularly review and refine policies to maintain compliance and reduce organizational risk.
MCAS provides organizations with the tools needed to secure cloud application usage, detect anomalies, and prevent sensitive data exfiltration, ensuring comprehensive cloud security.
Question 113 :
Your organization wants to protect endpoints against ransomware, malware, 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 security platform offering proactive protection against malware, ransomware, and advanced persistent threats (APTs). With the growing sophistication of cyberattacks, organizations need solutions that provide real-time threat detection, automated remediation, and rich endpoint telemetry for rapid response.
Option A – Microsoft Cloud App Security: MCAS is designed for monitoring cloud applications and enforcing data protection policies. It does not offer endpoint protection or automated remediation for malware or ransomware attacks on devices.
Option B – Microsoft Sentinel: Sentinel is a SIEM/SOAR solution that aggregates logs, correlates events, and orchestrates response workflows. While it enhances visibility, it cannot directly prevent or remediate endpoint malware or ransomware threats without integration with MDE.
Option C – Microsoft Defender for Endpoint: MDE provides detailed telemetry from endpoints, including process execution, registry changes, file activity, and network traffic. Its Automated Investigation and Remediation (AIR) engine investigates alerts, isolates compromised devices, terminates malicious processes, quarantines suspicious files, and restores system configurations. Advanced hunting capabilities enable proactive detection of suspicious behaviors, and integration with Sentinel offers enterprise-wide analytics, incident correlation, and automated response. MDE reduces operational impact and increases efficiency by automating threat mitigation processes.
Option D – Azure AD Identity Protection: Identity Protection focuses on identity risks and does not provide endpoint malware or ransomware protection.
Implementation steps:
Onboard all endpoints to MDE for continuous monitoring.
Enable the AIR engine to automate investigation and remediation.
Conduct advanced hunting exercises to identify suspicious behavior proactively.
Integrate MDE telemetry with Sentinel for centralized monitoring and response orchestration.
Continuously review policies and configurations to enhance threat detection and remediation efficiency.
Deploying MDE ensures proactive protection for endpoints, automated response to threats, and reduced operational impact from ransomware and malware attacks, maintaining a robust security posture.
Question 114 :
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 providing unified security monitoring, analytics, threat hunting, and automated response orchestration. Complex enterprise environments often face threats spanning multiple domains, including endpoints, cloud applications, and user identities. Sentinel enables centralized visibility and management, allowing organizations to detect, investigate, and remediate incidents efficiently.
Option A – Microsoft Cloud App Security: MCAS enforces policies within cloud applications and monitors activity, but it does not provide SIEM or orchestration capabilities across multiple security domains.
Option B – Microsoft Sentinel: Sentinel aggregates telemetry from endpoints, cloud apps, and identities. Analytics rules detect anomalies, correlate events, and generate actionable alerts. Threat hunting with Kusto Query Language (KQL) allows security teams to identify hidden threats proactively. Automated playbooks provide rapid response actions, including isolating compromised devices, disabling accounts, or alerting security teams. Dashboards provide operational and compliance insights. Sentinel’s centralized approach enhances detection, investigation, and response efficiency, offering a comprehensive security operations platform.
Option C – Azure AD Identity Protection: Identity Protection focuses on identity and authentication risks but does not provide centralized monitoring or automated response across multiple domains.
Option D – Microsoft Defender for Endpoint: MDE secures endpoints but cannot independently provide enterprise-wide SIEM capabilities or orchestration without Sentinel integration.
Implementation steps:
Connect telemetry sources—endpoints, cloud apps, and identities—to Sentinel.
Configure analytics rules to detect anomalies and correlate events.
Build dashboards for monitoring operational and compliance metrics.
Develop automated playbooks for rapid incident response.
Conduct proactive threat hunting to detect and mitigate emerging threats.
Sentinel enables unified enterprise monitoring, detection, investigation, and automated response, improving security operations across all major domains.
Question 115 :
Your organization wants to prevent ransomware and malware on endpoints by restricting the execution of untrusted scripts, macros, and 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 high-risk behaviors on endpoints, preventing malware and ransomware infections. ASR rules focus on reducing the attack surface through behavior-based controls rather than solely relying on signature-based antivirus detection.
Option A – Microsoft Defender Antivirus: Traditional antivirus provides signature-based protection, which is reactive and less effective against zero-day attacks and sophisticated behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules prevent risky behaviors such as executing macros from email attachments, running scripts from temporary directories, and opening untrusted executables. Integration with MDE allows real-time telemetry, alerting, and automated remediation. ASR rules minimize ransomware propagation, reduce malware impact, and enable efficient security team responses.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity-based risks and sign-in anomalies but does not prevent malware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS monitors cloud applications and enforces data policies, but cannot prevent execution of malware on endpoints.
Implementation steps:
Test ASR rules in a controlled environment to minimize false positives.
Gradually deploy ASR rules organization-wide while monitoring user impact.
Configure automated remediation workflows for detected threats.
Continuously monitor alerts and refine ASR rules.
Educate users on safe computing practices to complement technical protections.
Deploying MDE with ASR rules provides proactive, behavior-based endpoint protection, significantly reducing ransomware and malware risks while maintaining operational efficiency.
Question 116 :
Your organization wants to monitor and enforce security policies for all cloud applications, detect risky usage patterns, and prevent data exfiltration. 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 designed to provide visibility and control over cloud applications, ensuring organizations can secure sensitive data and monitor application usage. With the rapid adoption of SaaS platforms, shadow IT, and third-party apps, organizations face challenges in identifying unsanctioned applications, detecting anomalous behaviors, and preventing data exfiltration. MCAS addresses these challenges by providing real-time monitoring, policy enforcement, and behavioral analytics.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint protects devices against malware, ransomware, and advanced threats, but does not monitor or control cloud application usage. Endpoint security alone cannot address the risks associated with cloud-based activities.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud applications in use, evaluates their risk, and classifies them as sanctioned or unsanctioned. It enforces session-level controls to prevent risky behaviors such as mass downloads, unauthorized sharing, and uploading sensitive data to unapproved platforms. Integration with Microsoft Information Protection automatically classifies and labels sensitive files, ensuring compliance with organizational and regulatory requirements. Behavioral analytics detect anomalous patterns, including unusual login locations, high-volume data transfers, or multiple access attempts, which may indicate insider threats or compromised accounts. Dashboards and alerts enable security teams to respond promptly and refine policies continually.
Option C – Azure AD Identity Protection: Identity Protection focuses on detecting identity and authentication risks, but it does not enforce policies or monitor activity within cloud applications.
Option D – Microsoft Sentinel: Sentinel aggregates logs, correlates events, and enables threat hunting across multiple domains, but it does not directly enforce session-level controls or prevent data exfiltration without MCAS integration.
Implementation steps:
Discover and categorize all cloud applications used within the organization.
Apply session-level policies to control risky behaviors.
Integrate with Microsoft Information Protection to classify and protect sensitive data.
Monitor dashboards and alerts to identify anomalies promptly.
Regularly review and refine policies to ensure continuous compliance and protection.
MCAS provides organizations with comprehensive cloud security by combining visibility, control, and anomaly detection, protecting sensitive data against unauthorized access and insider threats.
Question 117 :
Your organization wants to protect endpoints from malware, ransomware, and advanced persistent threats while enabling automated investigation and response. Which solution is most suitable?
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 a comprehensive endpoint protection platform that provides proactive defense against malware, ransomware, and advanced persistent threats (APTs). As cyber threats continue to evolve, organizations require solutions that combine detection, automated investigation, and remediation capabilities to reduce operational impact and improve security efficacy.
Option A – Microsoft Cloud App Security: MCAS focuses on cloud application security and data protection, but does not provide endpoint threat detection or remediation capabilities.
Option B – Microsoft Sentinel: Sentinel aggregates logs, correlates events, and orchestrates responses across multiple domains but does not directly prevent or remediate malware or ransomware infections on endpoints without integration with MDE.
Option C – Microsoft Defender for Endpoint: MDE collects rich telemetry from endpoints, including process execution, file activity, network connections, and registry changes. Its Automated Investigation and Remediation (AIR) engine investigates alerts, isolates compromised devices, terminates malicious processes, quarantines files, and restores configurations. Advanced hunting capabilities allow proactive identification of suspicious behaviors, and integration with Sentinel ensures enterprise-wide visibility, correlation, and automated incident response. By automating threat mitigation, MDE reduces operational burden and improves overall security posture.
Option D – Azure AD Identity Protection: Identity Protection focuses on authentication and identity risks but does not protect endpoints from malware, ransomware, or APTs.
Implementation steps:
Onboard all endpoints to MDE for continuous monitoring.
Enable AIR to automate the investigation and remediation of alerts.
Perform advanced hunting exercises to detect suspicious behavior proactively.
Integrate telemetry with Sentinel for centralized monitoring and orchestration.
Continuously review and refine policies to enhance threat detection and remediation efficiency.
Deploying MDE ensures proactive protection, automated threat response, and improved operational efficiency in mitigating malware and ransomware attacks.
Question 118 :
Your organization wants centralized security 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 enables centralized monitoring, analytics, threat hunting, and automated response across multiple security domains. Organizations increasingly face threats spanning endpoints, cloud applications, and identities, necessitating a unified solution capable of correlating events and orchestrating responses efficiently.
Option A – Microsoft Cloud App Security: MCAS monitors cloud applications and enforces session-level policies but does not provide enterprise-wide SIEM or orchestration capabilities.
Option B – Microsoft Sentinel: Sentinel aggregates telemetry from endpoints, cloud applications, and identity sources. Analytics rules detect anomalies, correlate events, and generate actionable alerts. Threat hunting using Kusto Query Language (KQL) allows proactive identification of threats. Automated playbooks enable rapid response, including isolating compromised devices, disabling accounts, or notifying security teams. Dashboards provide operational and compliance insights. Sentinel’s unified approach ensures efficient detection, investigation, and response across all domains, improving overall security posture.
Option C – Azure AD Identity Protection: Identity Protection monitors identity risks but cannot provide centralized monitoring or automated incident response across endpoints and cloud applications.
Option D – Microsoft Defender for Endpoint: MDE protects endpoints but does not independently provide enterprise-wide SIEM, threat hunting, or orchestration without Sentinel integration.
Implementation steps:
Connect telemetry sources—endpoints, cloud apps, and identities—to Sentinel.
Configure analytics rules for anomaly detection and event correlation.
Build dashboards for real-time monitoring and reporting.
Develop automated playbooks to respond quickly to security incidents.
Conduct proactive threat hunting to detect emerging threats and improve security posture.
Sentinel provides a centralized, enterprise-wide platform to monitor, detect, investigate, and respond to threats efficiently, improving security operations and operational resilience.
Question 119 :
Your organization wants to prevent ransomware and malware on endpoints by restricting the execution of untrusted scripts, macros, and 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 within Microsoft Defender for Endpoint (MDE) are designed to block high-risk behaviors that can lead to ransomware or malware infections. ASR rules complement traditional antivirus solutions by providing behavior-based controls that reduce the attack surface and prevent execution of risky scripts, macros, or executables.
Option A – Microsoft Defender Antivirus: Traditional antivirus solutions are signature-based and reactive, offering limited protection against sophisticated zero-day or behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules proactively block risky behaviors, including executing macros from email attachments, running scripts from temporary directories, and launching untrusted executables. Integration with MDE provides rich telemetry, alerts, and automated remediation. ASR rules significantly reduce ransomware propagation, minimize malware impact, and improve response efficiency, ensuring operational continuity and robust endpoint protection.
Option C – Azure AD Identity Protection: Identity Protection mitigates identity-based risks and detects compromised accounts, but does not prevent malware or ransomware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS provides cloud application monitoring and data protection, but cannot prevent the execution of malware on endpoints.
Implementation steps:
Test ASR rules in a controlled environment to reduce false positives.
Deploy ASR rules gradually across endpoints while monitoring user impact.
Configure automated remediation for detected threats.
Continuously monitor alerts and refine ASR policies.
Educate users on safe computing practices to complement technical measures.
Deploying MDE with ASR rules ensures proactive, behavior-based protection, significantly reducing ransomware and malware risks while maintaining operational efficiency.
Question 120 :
Your organization wants to automatically detect risky sign-ins and compromised accounts and enforce adaptive authentication policies 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 focused on managing identity risks by detecting compromised accounts, risky sign-ins, and enforcing adaptive authentication policies. Credential-based attacks are among the most prevalent security threats, and Identity Protection mitigates these risks using machine learning, behavioral analytics, and Microsoft’s global threat intelligence.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint protects devices against malware and ransomware, but does not evaluate sign-in risks or enforce adaptive authentication.
Option B – Azure AD Identity Protection: Identity Protection assigns risk scores to users and sign-ins based on factors such as unfamiliar locations, anonymous IP addresses, or impossible travel. Conditional Access policies can automatically enforce actions like multi-factor authentication for medium-risk users or block high-risk accounts until verified. Dashboards and reports provide administrators with actionable insights to prioritize investigation and refine risk policies. Automated risk mitigation reduces manual effort, strengthens security posture, and supports regulatory compliance.
Option C – Microsoft Cloud App Security: MCAS focuses on monitoring cloud applications and enforcing session-level controls, but does not directly evaluate authentication risk or enforce adaptive access policies.
Option D – Microsoft Sentinel: Sentinel collects and correlates security data for analysis and response, but requires integration with Identity Protection to enforce adaptive access policies.
Implementation steps:
Enable user and sign-in risk detection within Identity Protection.
Configure Conditional Access policies that trigger based on risk levels.
Require MFA for medium-risk users and block access for high-risk users until remediation.
Monitor dashboards and alerts to identify and investigate trends.
Continuously refine risk policies to adapt to evolving threat landscapes.
Deploying Azure AD Identity Protection ensures real-time detection and automated response to identity threats, reducing the likelihood of account compromise and maintaining robust identity security.