Microsoft SC-200 Microsoft Security Operations Analyst Exam Dumps and Practice Test Questions Set 7 Q91-105
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Question 91 :
Your organization wants to enforce multi-factor authentication for users who exhibit high-risk sign-ins and prevent unauthorized access automatically. Which solution should you implement?
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 built to detect risky sign-ins, compromised accounts, and abnormal authentication patterns. High-risk sign-ins are identified based on anomaly detection, risk scoring, and behavioral analytics. Enforcing MFA for these users ensures that unauthorized actors cannot access organizational resources even if credentials are compromised.
Option A – Microsoft Defender for Endpoint: MDE focuses on endpoint protection and malware detection but does not assess sign-in risk or enforce MFA.
Option B – Azure AD Identity Protection: Identity Protection integrates risk-based sign-in detection with Conditional Access policies. Medium-risk users may be required to perform MFA, while high-risk users can be blocked or required to reset passwords. Dashboards provide actionable insights, allowing security teams to monitor trends, investigate compromised accounts, and automate responses. This reduces manual intervention and enhances security posture while maintaining compliance.
Option C – Microsoft Cloud App Security: MCAS monitors cloud applications and enforces policies, but does not manage authentication risk or MFA enforcement directly.
Option D – Microsoft Sentinel: Sentinel aggregates logs and identifies anomalies, but cannot independently enforce access restrictions or MFA without integration with Identity Protection.
Implementation steps:
Enable risk detection for sign-ins and user accounts.
Integrate with Conditional Access to enforce automated risk-based access policies.
Deploy MFA for medium- and high-risk users.
Monitor dashboards for suspicious activity and trends.
Continuously adjust risk thresholds and policy settings to respond to emerging threats.
Azure AD Identity Protection ensures that suspicious sign-ins are mitigated automatically, reducing the likelihood of data breaches while maintaining regulatory compliance. Overview of Azure AD Identity Protection
Azure AD Identity Protection is a security solution within the Microsoft ecosystem designed specifically to detect, investigate, and respond to identity-related risks. In modern enterprise environments, the majority of security incidents involve compromised credentials or unauthorized access, making identity protection critical. Identity Protection uses machine learning, behavioral analytics, and anomaly detection to identify suspicious activities, such as unusual sign-ins, atypical locations, or potentially compromised accounts. By continuously analyzing user behavior and sign-in patterns, it assigns risk levels to sign-ins and accounts, enabling organizations to take proactive measures before a security breach occurs.
Risk Detection and Classification
The core functionality of Azure AD Identity Protection revolves around risk detection and scoring. Sign-ins and user accounts are assessed based on several factors, including device reputation, location, IP address anomalies, and user behavior patterns. These assessments generate risk scores that categorize sign-ins as low, medium, or high risk. For example, a sign-in from a previously unseen geographic location or an IP associated with suspicious activity will trigger a higher risk score. Similarly, multiple failed login attempts or sign-ins from anonymized networks are flagged for review. By differentiating risk levels, organizations can apply targeted responses instead of enforcing blanket security measures, maintaining usability for legitimate users while protecting sensitive resources.
Integration with Conditional Access Policies
One of the most powerful features of Azure AD Identity Protection is its seamless integration with Conditional Access. Conditional Access enables automated responses based on the risk profile of a sign-in or user account. For medium-risk users, policies may enforce multi-factor authentication (MFA) to verify identity before granting access. High-risk sign-ins, on the other hand, can be blocked or require a password reset to mitigate potential compromise. By combining risk detection with Conditional Access, organizations implement a dynamic, context-aware security model that adapts in real time to evolving threats. This approach reduces the need for manual intervention and improves overall operational efficiency.
Enhanced Multi-Factor Authentication Enforcement
MFA remains one of the most effective defenses against credential compromise. Azure AD Identity Protection enhances MFA enforcement by applying it selectively based on risk assessments. Instead of requiring all users to authenticate with multiple factors in every session, which can create friction, Identity Protection triggers MFA only when necessary, such as when suspicious behavior is detected. This risk-based approach balances security with user experience, ensuring that legitimate access is not unduly disrupted while potential attackers are blocked or challenged.
Monitoring, Investigation, and Response
Identity Protection provides comprehensive dashboards and reporting tools that allow security teams to monitor trends and identify emerging threats. Security analysts can investigate specific high-risk accounts, review the context of unusual sign-ins, and implement remediation steps, such as forcing password resets or revoking sessions. These capabilities enable faster response times, reducing the window of opportunity for attackers. Automated workflows further enhance efficiency, allowing organizations to respond to common threat patterns without requiring constant manual oversight.
Compliance and Regulatory Benefits
For organizations operating under strict regulatory frameworks, such as GDPR, HIPAA, or SOX, Azure AD Identity Protection provides audit-ready controls and reporting. Risk-based access policies demonstrate due diligence in protecting sensitive information, supporting compliance requirements. Automated enforcement of security policies ensures that high-risk activities are mitigated consistently, reducing the likelihood of regulatory violations or penalties.
Continuous Improvement and Adaptation
Threats are constantly evolving, and static security policies are often insufficient. Azure AD Identity Protection adapts over time through machine learning and behavioral analytics, refining its risk detection algorithms based on new data and emerging attack patterns. Administrators can adjust risk thresholds, review false positives, and fine-tune policy responses to achieve an optimal balance between security and user experience. This dynamic approach ensures that organizations remain resilient against both known and emerging threats.
Implementation Steps
Enable risk detection for sign-ins and user accounts to monitor suspicious activity.
Integrate with Conditional Access to automate policy enforcement based on risk levels.
Deploy MFA for medium- and high-risk users to ensure identity verification.
Continuously monitor dashboards and review trends for anomalous behavior.
Adjust risk thresholds and refine policies to adapt to evolving threat landscapes.
By combining intelligent risk detection, automated policy enforcement, and detailed monitoring, Azure AD Identity Protection enables organizations to secure their digital identities proactively. This approach minimizes the likelihood of unauthorized access, reduces reliance on manual interventions, and strengthens overall security posture while maintaining compliance with regulatory requirements.
Question 92 :
Your organization wants to gain visibility into cloud applications, detect anomalous behavior, and prevent accidental or malicious data leakage. Which solution should you deploy?
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) provides a centralized platform for discovering and controlling cloud applications, detecting anomalies, and enforcing real-time policies to prevent data loss. As organizations increasingly adopt cloud applications, the risk of unauthorized access, insider threats, or accidental data leakage rises significantly.
Option A – Microsoft Defender for Endpoint: MDE protects devices from malware and ransomware but does not monitor cloud applications or enforce session-level policies.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud apps in use, evaluates risks, and categorizes them as sanctioned or unsanctioned. Session-level policies can prevent risky actions such as mass downloads or sharing sensitive data outside approved domains. Integration with Microsoft Information Protection allows automatic labeling and protection of sensitive files. Behavioral analytics identify anomalous activities like unusual download volumes, login locations, or sharing patterns, enabling rapid investigation. Dashboards and alerts allow proactive incident response and continuous policy refinement.
Option C – Azure AD Identity Protection: Identity Protection detects risky sign-ins and account compromise but does not enforce policies for cloud application usage or session-level activity.
Option D – Microsoft Sentinel: Sentinel provides SIEM capabilities, log aggregation, and detection, but cannot prevent data leakage in real time without MCAS integration.
Implementation steps:
Discover cloud applications and classify them according to risk.
Apply session-level controls for sensitive actions.
Integrate Microsoft Information Protection to automatically classify and protect sensitive data.
Monitor alerts and dashboards to detect anomalous behavior.
Continuously refine policies to improve security posture and compliance.
MCAS ensures cloud application security by combining visibility, behavioral analytics, and real-time policy enforcement to protect sensitive organizational data. Overview of Microsoft Cloud App Security
Microsoft Cloud App Security (MCAS) is a cloud-native security solution that provides organizations with deep visibility, control, and protection across their cloud applications. In modern enterprises, cloud adoption has surged, leading to a proliferation of sanctioned and unsanctioned applications. While cloud services offer productivity benefits, they also introduce security risks, including unauthorized access, insider threats, and accidental data leakage. MCAS addresses these challenges by acting as a Cloud Access Security Broker (CASB), providing a central platform to monitor activity, enforce policies, and protect sensitive data.
Cloud Application Discovery and Risk Assessment
A foundational capability of MCAS is its ability to discover all cloud applications in use within an organization. By connecting to firewalls, proxies, or using log collectors, MCAS identifies applications being accessed by employees, regardless of whether they are approved by IT. Each discovered application is assessed and categorized as sanctioned or unsanctioned based on risk factors such as compliance certifications, data handling practices, and security configurations. This enables security teams to focus on the highest-risk applications and take appropriate action to mitigate potential threats.
Behavioral Analytics and Anomaly Detection
MCAS uses behavioral analytics to detect unusual activity patterns across cloud services. Examples include abnormal login locations, excessive downloads, unusual file sharing, or atypical application usage. By continuously analyzing user behavior, MCAS identifies potential threats before they escalate. Anomalies trigger alerts for security teams, enabling rapid investigation and remediation. This proactive detection reduces the risk of insider threats and prevents data from being exfiltrated or exposed unintentionally.
Policy Enforcement and Data Protection
One of MCAS’s most valuable features is the ability to enforce session-level policies in real time. Organizations can define rules that prevent risky behaviors, such as downloading sensitive files to unmanaged devices, sharing confidential information outside approved domains, or accessing cloud apps from high-risk locations. Integration with Microsoft Information Protection allows automatic labeling and protection of sensitive data based on predefined policies. This ensures that critical information is secured regardless of where it resides, mitigating the risk of accidental or malicious exposure.
Monitoring and Incident Response
MCAS provides comprehensive dashboards and alerting mechanisms, giving security teams centralized visibility into cloud activity. Alerts can be triggered by high-risk events, such as multiple failed login attempts, mass file downloads, or access from unfamiliar devices. These insights enable organizations to respond quickly to potential security incidents, investigate the root cause, and refine policies to prevent recurrence. Continuous monitoring supports a proactive security posture and helps organizations meet compliance requirements.
Implementation Steps and Best Practices
Discover all cloud applications in use and categorize them based on risk.
Apply session-level controls to prevent risky actions on sensitive data.
Integrate with Microsoft Information Protection to automatically classify and protect files.
Monitor dashboards and alerts to detect anomalous behavior and investigate incidents.
Continuously refine policies based on usage patterns, risk assessments, and regulatory requirements.
By combining cloud visibility, behavioral analytics, and real-time policy enforcement, Microsoft Cloud App Security empowers organizations to secure their cloud environments effectively. It reduces the risk of data leakage, enforces compliance, and strengthens overall cloud security posture while maintaining user productivity.
Question 93 :
Your organization wants to protect endpoints from malware, ransomware, and advanced attacks while enabling automated investigation and remediation. 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 security platform that provides malware protection, ransomware prevention, and automated investigation and remediation. The modern threat landscape demands proactive solutions capable of detecting sophisticated attacks and remediating them without extensive manual intervention.
Option A – Microsoft Cloud App Security: MCAS focuses on cloud application security and does not protect endpoints directly from malware or ransomware.
Option B – Microsoft Sentinel: Sentinel is a SIEM/SOAR platform that aggregates logs and orchestrates responses, but cannot independently prevent endpoint malware infections. Integration with MDE is necessary for active remediation.
Option C – Microsoft Defender for Endpoint: MDE collects endpoint telemetry, including process execution, registry changes, network activity, and file operations. The Automated Investigation and Remediation (AIR) engine investigates alerts, isolates compromised devices, terminates malicious processes, quarantines files, and restores system configurations. Advanced hunting allows proactive detection, and integration with Sentinel provides enterprise-wide visibility and orchestration.
Option D – Azure AD Identity Protection: Identity Protection manages identity and authentication risks but does not protect endpoints from malware or ransomware.
Implementation steps:
Onboard all endpoints to MDE.
Configure AIR for automated investigation and remediation.
Conduct advanced hunting to proactively detect anomalies.
Integrate with Sentinel for centralized monitoring and incident management.
Continuously optimize policies and review remediation effectiveness.
MDE ensures proactive endpoint protection and automated remediation, reducing the impact of malware and ransomware while maintaining operational efficiency.
Question 94 :
Your organization wants centralized security monitoring, proactive threat hunting, and automated incident response across endpoints, identities, and cloud applications. Which solution is most appropriate?
A) Microsoft Cloud App Security
B) Microsoft Sentinel
C) Azure AD Identity Protection
D) Microsoft Defender for Endpoint
Answer: B) Microsoft Sentinel
Explanation:
Microsoft Sentinel is a cloud-native SIEM and SOAR solution providing centralized monitoring, analytics, threat hunting, and automated response. Organizations need centralized monitoring to detect complex attacks spanning endpoints, identities, and cloud applications. Sentinel enables proactive threat detection, investigation, and automated incident response.
Option A – Microsoft Cloud App Security: MCAS focuses on cloud application monitoring and policy enforcement but does not provide enterprise-wide SIEM or automated orchestration capabilities.
Option B – Microsoft Sentinel: Sentinel collects telemetry from endpoints, identities, and cloud apps. Analytics rules detect anomalies, correlate events, and trigger alerts. Threat hunting with Kusto Query Language (KQL) allows proactive discovery of threats. Automated playbooks enable immediate response, such as isolating devices, disabling accounts, or notifying security teams. Dashboards provide real-time visibility and reporting for operational and compliance purposes.
Option C – Azure AD Identity Protection: Identity Protection addresses identity risk but cannot provide centralized monitoring or automated response across multiple domains.
Option D – Microsoft Defender for Endpoint: MDE secures endpoints and provides telemetry but does not deliver enterprise-wide SIEM or orchestration independently.
Implementation steps:
Connect all relevant data sources to Sentinel.
Configure analytics rules for anomaly detection and event correlation.
Build dashboards for real-time monitoring and reporting.
Develop automated playbooks for incident response.
Conduct threat hunting exercises to proactively detect emerging threats.
Sentinel provides unified, enterprise-wide security monitoring, enabling rapid detection, investigation, and response to threats across multiple domains.
Question 95 :
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 proactively block high-risk behaviors on endpoints to prevent malware and ransomware infections. ASR rules provide behavior-based protection that complements traditional signature-based antivirus, preventing threats before they execute and reducing the attack surface.
Option A – Microsoft Defender Antivirus: Traditional antivirus is reactive and limited to signature-based detection, making it less effective against zero-day or behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules prevent execution of risky behaviors, including macros from email attachments, scripts from temporary folders, and untrusted executables. Integration with MDE provides telemetry, alerting, and automated remediation. ASR reduces ransomware propagation, minimizes the attack surface, and allows security teams to respond proactively to threats.
Option C – Azure AD Identity Protection: Identity Protection focuses on authentication and identity risks 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 endpoint malware execution.
Implementation steps:
Test ASR rules in a controlled environment to minimize false positives.
Deploy ASR rules gradually across endpoints while monitoring user impact.
Configure automated remediation workflows for detected threats.
Monitor alerts and telemetry to refine ASR policies.
Educate users on safe computing practices to complement technical protections.
MDE with ASR rules ensures proactive, behavior-based endpoint protection, minimizing ransomware and malware risk while maintaining operational efficiency and security posture.
Question 96 :
Your organization wants to detect suspicious authentication attempts, compromised accounts, and enforce risk-based conditional access policies automatically. Which solution should you implement?
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 critical solution for identifying, monitoring, and responding to identity-based risks within an organization. Modern cyber threats often target user credentials as a primary attack vector, making compromised accounts one of the most common sources of security breaches. Identity Protection leverages machine learning, behavioral analytics, and Microsoft’s global threat intelligence to continuously evaluate sign-ins and user accounts for anomalies, suspicious behavior, and potential compromise.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint focuses on endpoint security, malware prevention, and threat remediation. It does not analyze authentication patterns or enforce access policies based on identity risk. While endpoint security is essential, it does not address identity-specific threats.
Option B – Azure AD Identity Protection: Identity Protection evaluates risk using multiple factors, including unfamiliar sign-in locations, atypical login times, legacy authentication usage, and anonymous IP sign-ins. It calculates risk scores for both user accounts and individual sign-ins. Integration with Conditional Access enables automated enforcement of policies, such as requiring multi-factor authentication (MFA) for medium-risk users or blocking high-risk accounts until further verification. Security teams can use dashboards to track risk trends, investigate high-risk activities, and prioritize remediation. Identity Protection automates responses to suspicious activity, reduces manual intervention, and ensures compliance with regulatory requirements.
Option C – Microsoft Cloud App Security: MCAS provides visibility and control over cloud applications, detects anomalous activity, and enforces data protection policies but does not handle identity-specific risks or enforce access policies based on sign-in risk independently.
Option D – Microsoft Sentinel: Sentinel can aggregate identity logs and analyze events, but does not independently enforce automated conditional access or respond to high-risk authentication attempts without integration with Identity Protection.
Implementation steps:
Enable identity risk detection across user accounts and sign-ins.
Integrate Identity Protection with Conditional Access to automatically apply risk-based access policies.
Deploy MFA for medium- and high-risk users.
Monitor dashboards for unusual sign-in activity and trends.
Continuously refine risk thresholds and response policies to adapt to evolving threats.
Azure AD Identity Protection ensures that suspicious authentication attempts are mitigated automatically, reducing the likelihood of account compromise and strengthening the organization’s overall security posture.
Question 97 :
Your organization wants visibility into all cloud applications, detection of anomalous user behavior, and prevention of accidental or malicious data leakage. 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 Access Security Broker (CASB) that provides centralized monitoring, control, and threat detection for cloud applications. Organizations increasingly rely on cloud apps for collaboration, storage, and business-critical processes, which introduces risks related to unauthorized access, insider threats, and accidental data leaks. MCAS enables organizations to discover all cloud apps, categorize them based on risk, and enforce session-level policies to protect sensitive data.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint protects endpoints from malware and ransomware but does not monitor cloud application activity or enforce data protection policies in real time.
Option B – Microsoft Cloud App Security: MCAS provides real-time visibility into cloud application usage, identifies high-risk applications, and applies controls to prevent risky behaviors, such as mass downloads, sharing outside approved domains, or uploading sensitive data to unsanctioned locations. Integration with Microsoft Information Protection allows automatic classification and labeling of sensitive files, ensuring that data protection policies are enforced consistently. Behavioral analytics detect anomalies, such as unusual sign-in patterns, excessive file downloads, or access from unfamiliar locations, which may indicate insider threats or compromised accounts. Alerts and dashboards enable rapid investigation, incident response, 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 enforcement of cloud application policies.
Option D – Microsoft Sentinel: Sentinel aggregates security logs and analyzes events to detect anomalies, but cannot enforce, force session-level policies, or prevent data exfiltration without integration with MCAS.
Implementation steps:
Discover all cloud applications and assess associated risks.
Apply session-level controls to restrict high-risk actions.
Integrate Microsoft Information Protection for automatic classification and protection of sensitive data.
Monitor alerts and dashboards to detect anomalies.
Continuously refine policies and conduct audits to maintain security and regulatory compliance.
MCAS ensures comprehensive cloud application security, combining visibility, behavioral analytics, and real-time policy enforcement to protect sensitive organizational data and prevent potential breaches.
Question 98 :
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 enterprise-grade platform providing endpoint protection, threat detection, and automated response. The modern threat landscape includes sophisticated malware, ransomware, and fileless attacks, necessitating proactive and automated solutions capable of detecting threats and remediating incidents without heavy manual effort.
Option A – Microsoft Cloud App Security: MCAS focuses on cloud application monitoring and data protection, but does not provide malware or ransomware protection on endpoints.
Option B – Microsoft Sentinel: Sentinel functions as a SIEM/SOAR platform, aggregating logs and orchestrating responses. While it can coordinate remediation in conjunction with MDE, it does not directly prevent malware or ransomware infections on endpoints.
Option C – Microsoft Defender for Endpoint: MDE collects detailed telemetry from endpoints, including process execution, registry changes, network activity, and file operations. Its Automated Investigation and Remediation (AIR) engine analyzes alerts, isolates compromised devices, terminates malicious processes, quarantines files, and restores system configurations. Advanced hunting enables proactive threat detection, and integration with Sentinel provides enterprise-wide visibility, analytics, and orchestration.
Option D – Azure AD Identity Protection: Identity Protection focuses on authentication and identity risks but does not protect endpoints from malware or ransomware.
Implementation steps:
Onboard endpoints to MDE for continuous monitoring.
Configure the AIR engine to automate threat investigation and remediation.
Conduct advanced hunting for proactive detection of suspicious behaviors.
Integrate with Sentinel for centralized incident management and correlation.
Continuously optimize policies and review remediation outcomes to enhance security efficiency.
MDE provides advanced endpoint protection and automated remediation, reducing the operational impact of malware and ransomware while improving overall security posture.
Question 99 :
Your organization wants centralized monitoring, proactive threat hunting, and automated incident response across endpoints, cloud applications, and identities. Which solution should you implement?
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 designed for centralized security monitoring, analytics, threat hunting, and automated response orchestration. Large and complex environments require centralized monitoring to detect advanced threats spanning multiple domains, including endpoints, identities, and cloud applications. Sentinel enables organizations to proactively detect, investigate, and respond to incidents efficiently.
Option A – Microsoft Cloud App Security: MCAS monitors cloud applications and enforces session-level policies but does not provide SIEM or automated orchestration capabilities across multiple domains.
Option B – Microsoft Sentinel: Sentinel collects and aggregates telemetry from endpoints, cloud apps, and identities. Analytics rules detect anomalies, correlate events, and generate alerts. Threat hunting is enabled through Kusto Query Language (KQL), allowing proactive identification of hidden threats. Automated playbooks allow rapid response to incidents, such as isolating compromised devices, disabling accounts, and alerting security teams. Dashboards provide real-time visibility and operational insights for compliance and reporting.
Option C – Azure AD Identity Protection: Identity Protection monitors identity risk but cannot provide centralized monitoring or automated response for multiple security domains.
Option D – Microsoft Defender for Endpoint: MDE protects endpoints and provides telemetry but does not independently offer enterprise-wide SIEM or orchestration capabilities.
Implementation steps:
Connect endpoints, cloud apps, and identity sources to Sentinel.
Configure analytics rules and event correlation for anomaly detection.
Build dashboards for operational monitoring and compliance reporting.
Create automated playbooks for rapid incident response.
Conduct regular threat hunting exercises to proactively identify emerging threats.
Sentinel enables unified, enterprise-wide monitoring and automated response, improving detection, investigation, and mitigation of threats across multiple domains.
Question 100 :
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 proactively block high-risk behaviors on endpoints to prevent malware and ransomware infections. ASR rules provide behavior-based prevention, complementing traditional signature-based antivirus solutions, and focus on minimizing the attack surface.
Option A – Microsoft Defender Antivirus: Traditional antivirus is signature-based, reactive, and less effective against zero-day attacks or advanced behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules prevent risky behaviors such as running macros from email attachments, executing scripts from temporary folders, and opening untrusted executable files. Integration with MDE provides real-time telemetry, alerts, and automated remediation. ASR reduces the attack surface, prevents ransomware propagation, and ensures endpoint security while allowing security teams to respond proactively.
Option C – Azure AD Identity Protection: Identity Protection focuses on identity risks and authentication 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 endpoint malware execution.
Implementation steps:
Test ASR rules in a controlled environment to reduce false positives.
Gradually deploy ASR rules across endpoints while monitoring user impact.
Configure automated remediation workflows for detected threats.
Continuously monitor alerts and refine ASR policies.
Educate users on safe computing practices to complement technical protections.
MDE with ASR rules ensures proactive, behavior-based protection for endpoints, minimizing ransomware and malware risk while maintaining operational efficiency and a strong security posture.
Question 101 :
Your organization wants to enforce conditional access policies that respond automatically to risky user behavior, such as sign-ins from unusual locations or anonymous networks. 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 specialized tool designed to detect, assess, and respond to identity-based risks. In modern IT environments, user credentials are a primary target for attackers, and risky sign-in behaviors—such as logins from unusual geographies, anonymous IP addresses, or multiple failed login attempts—can indicate compromised accounts. Identity Protection continuously evaluates these activities using advanced machine learning, behavioral analytics, and Microsoft’s global threat intelligence to assign risk scores to both users and sign-ins.
Option A – Microsoft Defender for Endpoint: While Defender for Endpoint secures devices against malware, ransomware, and suspicious behavior, it does not assess authentication risks or enforce conditional access based on user behavior. Endpoint security is crucial, but it addresses device threats rather than identity risks.
Option B – Azure AD Identity Protection: Identity Protection integrates seamlessly with Conditional Access, allowing organizations to automatically respond to high-risk activities. For example, a medium-risk user may be prompted to perform multi-factor authentication (MFA), while high-risk users can be temporarily blocked or required to reset their passwords. Dashboards provide detailed insights into trends, enabling administrators to prioritize remediation and strengthen identity governance. Identity Protection reduces manual intervention, ensures policy consistency, and supports regulatory compliance by mitigating unauthorized access risks.
Option C – Microsoft Cloud App Security: MCAS focuses on monitoring cloud applications and enforcing data policies, but does not directly evaluate sign-in risks or enforce conditional access policies for identity-related events.
Option D – Microsoft Sentinel: Sentinel aggregates logs and correlates events for anomaly detection, but it does not independently enforce automated conditional access or respond to risky authentication events without integration with Azure AD Identity Protection.
Implementation steps:
Enable identity risk detection for users and sign-ins.
Configure Conditional Access policies that respond automatically to identified risk levels.
Deploy MFA and other verification mechanisms for medium- and high-risk users.
Monitor dashboards to identify trends and high-risk behaviors.
Continuously refine risk thresholds and policies to adapt to evolving threats.
By implementing Azure AD Identity Protection, organizations can automate the detection and mitigation of risky sign-ins, significantly reducing the probability of account compromise while maintaining a strong security posture.
Question 102 :
Your organization wants to gain visibility into all cloud applications, detect anomalies in user behavior, 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 solution that provides visibility, control, and threat detection for cloud applications. As organizations increasingly adopt SaaS platforms, shadow IT, or unsanctioned applications, the risk of unauthorized access, insider threats, and data leakage rises significantly. MCAS helps mitigate these risks by continuously monitoring cloud application usage, analyzing user behavior, and enforcing policies to prevent sensitive data from being exposed or mishandled.
Option A – Microsoft Defender for Endpoint: While Defender for Endpoint protects devices against malware and ransomware, it does not monitor or control cloud application activities. Endpoint protection alone cannot address the risks introduced by cloud application adoption.
Option B – Microsoft Cloud App Security: MCAS provides detailed visibility into cloud application usage, assesses associated risks, and classifies applications as sanctioned or unsanctioned. Session-level policies allow organizations to prevent high-risk behaviors, such as mass downloads, sharing sensitive files outside approved domains, or uploading data to untrusted applications. Integration with Microsoft Information Protection automatically labels and protects sensitive files to ensure compliance. Behavioral analytics detect unusual activities, such as anomalous access patterns, unexpected download volumes, or multiple sign-ins from different locations, indicating potential insider threats or compromised accounts. Alerts and dashboards enable rapid investigation and policy refinement, ensuring proactive cloud security management.
Option C – Azure AD Identity Protection: Identity Protection evaluates authentication risk and detects compromised accounts, but does not provide visibility or enforcement for cloud application usage.
Option D – Microsoft Sentinel: Sentinel aggregates logs for analysis and anomaly detection but does not enforce session-level policies or prevent data exfiltration without MCAS integration.
Implementation steps:
Discover all cloud applications and classify them based on risk.
Implement session-level controls to restrict risky actions.
Integrate Microsoft Information Protection to automatically classify and protect sensitive data.
Monitor dashboards and alerts to identify anomalous activity.
Refine policies and conduct periodic audits to maintain security and compliance.
MCAS provides a comprehensive solution for cloud application security by combining visibility, real-time policy enforcement, and anomaly detection, protecting sensitive organizational data against unauthorized access and insider threats.
Question 103 :
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 enterprise-grade security solution that provides comprehensive protection for endpoints against malware, ransomware, and advanced persistent threats (APTs). Modern threat actors increasingly rely on sophisticated techniques, including fileless attacks, zero-day exploits, and ransomware campaigns, necessitating advanced endpoint protection capable of proactive detection and automated remediation.
Option A – Microsoft Cloud App Security: MCAS provides visibility and control over cloud applications, but it does not offer endpoint malware protection. Organizations that rely solely on MCAS remain vulnerable to ransomware or malware executed locally on endpoints.
Option B – Microsoft Sentinel: Sentinel functions as a SIEM/SOAR platform, aggregating logs and orchestrating responses. While Sentinel enhances visibility and response across multiple domains, it does not directly prevent malware or ransomware infections on endpoints; integration with MDE is necessary.
Option C – Microsoft Defender for Endpoint: MDE collects rich telemetry from endpoints, including process execution, file operations, registry changes, and network activity. The Automated Investigation and Remediation (AIR) engine analyzes 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 visibility, analytics, and orchestration. MDE significantly reduces the operational impact of malware and ransomware incidents while improving incident response efficiency.
Option D – Azure AD Identity Protection: Identity Protection focuses on detecting identity risks and unusual sign-ins. While critical for identity security, it does not protect endpoints from malware or ransomware.
Implementation steps:
Onboard endpoints to MDE for continuous monitoring.
Enable AIR for automated investigation and remediation.
Conduct advanced hunting exercises to proactively detect suspicious behaviors.
Integrate MDE with Sentinel for centralized monitoring and incident management.
Continuously review and optimize policies to reduce false positives and improve remediation efficacy.
Deploying MDE ensures proactive protection for endpoints, reduces the impact of advanced threats, and provides automated remediation capabilities to maintain a strong security posture.
Question 104 :
Your organization wants centralized monitoring, threat hunting, and automated incident response across endpoints, cloud applications, and identities. Which solution should you implement?
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 enterprise-wide monitoring, analytics, threat hunting, and automated response orchestration. In complex environments, threats often span multiple domains, including endpoints, cloud applications, and user identities. Sentinel offers centralized visibility and management, enabling organizations to proactively detect, investigate, and remediate security incidents.
Option A – Microsoft Cloud App Security: MCAS monitors cloud applications and enforces session-level policies but does not provide SIEM or orchestration capabilities across multiple domains.
Option B – Microsoft Sentinel: Sentinel collects and aggregates telemetry from endpoints, cloud apps, and identities. Analytics rules identify anomalies, correlate events, and generate alerts. Threat hunting capabilities with Kusto Query Language (KQL) allow proactive identification of hidden threats. Automated playbooks enable rapid response actions, such as isolating compromised devices, disabling user accounts, or notifying security teams. Dashboards provide operational insights and compliance reporting. By unifying security operations, Sentinel improves detection and response efficiency.
Option C – Azure AD Identity Protection: Identity Protection monitors identity risks but cannot provide centralized monitoring or automated response across multiple security domains.
Option D – Microsoft Defender for Endpoint: MDE secures endpoints and provides telemetry but does not independently offer enterprise-wide SIEM or orchestration capabilities.
Implementation steps:
Connect endpoints, cloud apps, and identity sources to Sentinel.
Configure analytics rules for anomaly detection and correlation.
Build dashboards for real-time monitoring and reporting.
Develop automated playbooks for incident response.
Conduct proactive threat hunting exercises to identify emerging threats.
Sentinel enables unified, enterprise-wide security monitoring and response, enhancing detection, investigation, and remediation capabilities across all major domains.
Question 105 :
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 provide behavior-based protection, complementing traditional signature-based antivirus solutions, focusing on minimizing the attack surface by controlling execution of untrusted or high-risk activities.
Option A – Microsoft Defender Antivirus: Traditional antivirus is signature-based and reactive, providing limited protection against zero-day attacks and behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules prevent execution of risky behaviors, including macros from email attachments, scripts from temporary directories, and untrusted executables. Integration with MDE allows real-time monitoring, alerting, and automated remediation. ASR rules minimize ransomware propagation, reduce malware impact, and allow security teams to proactively respond to threats while maintaining operational efficiency.
Option C – Azure AD Identity Protection: Identity Protection addresses identity risks and authentication anomalies, but does not prevent malware or ransomware execution on endpoints.
Option D – Microsoft Cloud App Security: MCAS monitors cloud applications and enforces policies, but cannot prevent endpoint malware execution.
Implementation steps:
Test ASR rules in a controlled environment to minimize false positives.
Deploy ASR rules gradually across endpoints while monitoring user impact.
Configure automated remediation workflows for detected threats.
Continuously review alerts and refine ASR policies.
Educate users on safe computing practices to complement technical protections.
MDE with ASR rules ensures proactive, behavior-based endpoint protection, significantly reducing the risk of ransomware and malware infections while maintaining operational efficiency and a strong security posture.