Microsoft SC-200 Microsoft Security Operations Analyst Exam Dumps and Practice Test Questions Set 6 Q76-90
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Question 76 :
Your organization wants to detect compromised accounts, enforce risk-based access policies, and protect against identity theft and credential misuse. Which Microsoft 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 designed to identify and mitigate identity-based risks such as compromised accounts, risky sign-ins, and credential theft. Identity compromise is a significant security concern because it can enable attackers to access sensitive data, elevate privileges, or perform lateral movement across an organization. Identity Protection leverages machine learning, behavior analytics, and global threat intelligence to assess risk, detect suspicious activity, and enforce automated responses.
Option A – Microsoft Defender for Endpoint: Defender for Endpoint provides device-level protection against malware, ransomware, and suspicious activity, but does not evaluate sign-in risk or enforce conditional access policies.
Option B – Azure AD Identity Protection: Identity Protection assigns risk scores to users and sign-ins, integrates with Conditional Access policies, and enables automated enforcement. Medium-risk users may be prompted for multi-factor authentication (MFA), and high-risk users may be blocked or required to reset passwords. Dashboards allow security teams to investigate suspicious activity, monitor trends, and prioritize high-risk accounts for intervention. Identity Protection ensures proactive mitigation of compromised accounts, reduces the likelihood of unauthorized access, and supports compliance requirements.
Option C – Microsoft Cloud App Security: MCAS monitors cloud application activity and enforces data policies, but does not address identity-based authentication risks or enforce access policies based on sign-in risk.
Option D – Microsoft Sentinel: Sentinel can monitor identity-related activity when integrated with Azure AD logs, but cannot independently enforce risk-based access or respond automatically to compromised accounts.
Implementation steps:
Enable risk detection for user accounts and sign-ins.
Integrate Identity Protection with Conditional Access to enforce automated risk responses.
Monitor dashboards to investigate high-risk accounts and suspicious activity.
Deploy MFA and educate users on secure authentication practices.
Continuously refine risk thresholds and policies to adapt to emerging threats.
Identity Protection strengthens identity security, automates risk mitigation, and prevents unauthorized access while maintaining organizational compliance. Overview of Identity Security Challenges
In modern organizations, identities have become the new perimeter. Traditional network boundaries are increasingly irrelevant due to remote work, cloud adoption, and the proliferation of mobile devices. As a result, identity-based attacks have become a primary vector for cyber threats. Compromised credentials, phishing attacks, password spray attacks, and insider threats are all examples of identity-focused risks that can lead to significant data breaches. Attackers who gain access to a single identity can potentially escalate privileges, move laterally across systems, exfiltrate sensitive information, or deploy ransomware. Addressing these threats requires a proactive, intelligence-driven approach that can evaluate risk continuously and respond automatically to suspicious activity.
How Azure AD Identity Protection Addresses These Risks
Azure Active Directory (Azure AD) Identity Protection is a cloud-native service designed specifically to mitigate identity-based risks. It leverages a combination of machine learning, behavioral analytics, and Microsoft’s vast global threat intelligence network to detect abnormal sign-in patterns, anomalous user behavior, and compromised credentials. By assessing the likelihood that a given account or sign-in event is risky, Identity Protection enables organizations to prioritize security actions and automate response mechanisms.
Unlike traditional endpoint protection solutions such as Microsoft Defender for Endpoint, which primarily focus on device-level threats such as malware, ransomware, and suspicious processes, Identity Protection focuses on the user and identity layer. This distinction is critical because attackers often bypass endpoint security entirely by stealing credentials or exploiting weak authentication. By analyzing sign-in behaviors, locations, devices, and patterns of access, Identity Protection can detect anomalies that indicate potential compromise even before any malware or ransomware is deployed.
Risk Detection and Scoring
A core feature of Identity Protection is its risk scoring system. Each user and sign-in event is evaluated and assigned a risk score based on various signals, including unusual locations, atypical sign-in times, leaked credentials, and suspicious IP addresses. These scores allow security teams to categorize users into low, medium, or high-risk tiers. For example, a medium-risk user may be prompted for additional verification, while a high-risk user may be blocked from accessing sensitive resources until the account is remediated. This risk-based approach ensures that security responses are proportionate, minimizing friction for legitimate users while preventing attackers from exploiting compromised accounts.
Integration with Conditional Access
Identity Protection becomes significantly more powerful when integrated with Azure AD Conditional Access policies. Conditional Access allows organizations to enforce automated responses to detected risks. For instance, a policy can require multifactor authentication (MFA) for medium-risk users, mandate password resets for high-risk accounts, or restrict access to sensitive applications until verification steps are completed. This seamless integration ensures that risk mitigation occurs in real time and reduces the dependency on manual intervention by security teams. By combining risk assessment with policy enforcement, Identity Protection provides a dynamic, automated defense mechanism that scales across large organizations.
Monitoring and Investigation
Security operations teams benefit from Identity Protection through detailed dashboards and reporting capabilities. The dashboards provide insights into trends in risky sign-ins, compromised accounts, and remediation actions taken. Analysts can drill down into individual events to understand the context of a risk alert, including the user’s activity history, device information, and geographic access patterns. This investigative capability allows teams to identify potential attack campaigns, assess organizational exposure, and take targeted corrective measures. By continuously monitoring identity activity, organizations can reduce dwell time for attackers and prevent escalation of breaches.
User Education and Behavioral Alignment
While automated tools are critical, identity security also requires educating users on secure authentication practices. Identity Protection complements user training by enforcing MFA, password hygiene, and other risk-based controls. Users are guided through remediation steps when their accounts are flagged, ensuring that human behavior aligns with organizational security policies. Over time, these practices reduce susceptibility to social engineering attacks, phishing, and credential theft.
Compliance and Regulatory Alignment
Many regulatory frameworks, including GDPR, HIPAA, and ISO 27001, mandate robust access controls and identity protection measures. By implementing Azure AD Identity Protection, organizations can demonstrate compliance with these regulations through evidence of automated risk detection, policy enforcement, and monitoring of high-risk accounts. The solution provides detailed audit logs and reports that support regulatory audits and help maintain a strong security posture.
Continuous Adaptation and Threat Intelligence
Identity Protection is not a static solution; it evolves alongside emerging threats. Microsoft’s global threat intelligence continuously feeds the system with information about new attack vectors, compromised credentials, and malicious IP addresses. Machine learning models are updated to reflect the latest patterns of compromise, ensuring that detection remains effective even as attackers develop new techniques. Organizations can also fine-tune risk thresholds and policies based on internal patterns, ensuring that Identity Protection aligns with their specific operational requirements and threat landscape.
Summary
In conclusion, Azure AD Identity Protection offers a comprehensive, automated approach to identity security. By detecting suspicious activity, assigning risk scores, integrating with Conditional Access, and providing investigative dashboards, it mitigates the most critical identity-based threats. It ensures that compromised accounts are quickly remediated, reduces the likelihood of unauthorized access, enforces organizational security policies, and supports compliance with regulatory frameworks. This combination of automation, intelligence, and integration makes Identity Protection a cornerstone of a modern security strategy that prioritizes identity as the new security perimeter.
Question 77 :
Your organization wants to monitor all cloud applications, detect anomalous behavior, and prevent accidental or malicious data leaks. Which solution is most suitable?
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 visibility and control over cloud applications and protects sensitive data from accidental or malicious leakage. Organizations increasingly rely on cloud applications, creating risks of unauthorized access and data exfiltration. MCAS uses behavioral analytics, anomaly detection, and policy enforcement to safeguard cloud environments.
Option A – Microsoft Defender for Endpoint: MDE protects endpoints from malware and ransomware but does not provide real-time cloud application monitoring or session-level control.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud applications, classifies them based on risk, and applies session-level policies to control downloads, uploads, and sharing. Integration with Microsoft Information Protection allows automatic classification and protection of sensitive files. Behavioral analytics detect unusual patterns, such as mass file downloads or access from new locations, which may indicate insider threats or compromised accounts. Dashboards and alerts enable prompt investigation and response.
Option C – Azure AD Identity Protection: Identity Protection evaluates risky sign-ins and account compromise, but does not enforce policies at the cloud application or session level.
Option D – Microsoft Sentinel: Sentinel aggregates logs and analyzes events, but does not provide real-time policy enforcement or session monitoring within cloud applications without MCAS integration.
Implementation steps:
Discover all cloud applications and assess associated risks.
Apply session policies to prevent unauthorized or risky actions.
Integrate Microsoft Information Protection to classify and protect sensitive data.
Monitor alerts and dashboards for anomalous activity.
Refine policies and workflows to continuously improve protection.
MCAS ensures comprehensive cloud security by combining visibility, anomaly detection, and proactive policy enforcement to prevent data leaks and protect organizational assets. Understanding Cloud Security Challenges
As organizations adopt cloud services at an unprecedented scale, the volume and variety of cloud applications create both opportunities and risks. Employees may use sanctioned applications provided by IT, but they often also access unsanctioned or “shadow IT” services without oversight. These unmanaged applications can expose sensitive data to unauthorized users or locations. Furthermore, insider threats, accidental data sharing, and compromised credentials increase the likelihood of data exfiltration. Real-time monitoring of cloud activity is therefore essential to protect organizational assets, maintain compliance, and prevent operational disruption.
The Role of Microsoft Cloud App Security (MCAS)
Microsoft Cloud App Security addresses these challenges by offering deep visibility into all cloud applications used within an organization. MCAS begins by discovering cloud applications through log analysis, API connections, and network traffic monitoring. It then classifies these applications based on risk factors, such as compliance certifications, encryption practices, and historical threat activity. This risk classification enables IT teams to focus on the highest-priority threats and enforce policies that mitigate exposure to sensitive data.
Session-Level Control and Data Protection
A distinguishing feature of MCAS is its session-level control, which allows real-time monitoring and intervention in user interactions with cloud applications. For example, MCAS can prevent downloads of sensitive files to unmanaged devices, block sharing of confidential data outside the organization, or require additional authentication before accessing certain applications. When integrated with Microsoft Information Protection, MCAS can automatically apply labels and encryption to files based on content classification. This combination ensures that sensitive data is consistently protected regardless of where or how it is accessed.
Behavioral Analytics and Threat Detection
MCAS employs advanced behavioral analytics and machine learning to detect unusual activity patterns. These patterns may include mass file downloads, login attempts from anomalous locations, or sudden increases in data-sharing activity. Detecting such anomalies early is crucial because they often indicate compromised accounts or insider threats. When a risk is identified, MCAS generates alerts and integrates with existing security operations workflows, enabling security teams to investigate incidents promptly and take corrective action before data is lost or misused.
Integration with Broader Security Ecosystem
MCAS does not operate in isolation. It integrates with Azure AD for identity context, enabling policy enforcement based on user risk scores, group membership, or device compliance. It also works alongside Microsoft Defender for Endpoint to combine endpoint and cloud visibility, ensuring a more comprehensive security posture. Although Microsoft Sentinel can collect and correlate logs from various sources, real-time intervention within cloud applications is primarily handled by MCAS. This synergy between tools ensures that organizations can monitor and protect both endpoints and cloud environments effectively.
Continuous Improvement and Policy Refinement
Effective cloud security is not static; it requires ongoing adjustment as business operations evolve. MCAS supports continuous refinement of policies and workflows. Organizations can analyze alerts, review user behavior trends, and adjust controls to minimize false positives while ensuring critical threats are addressed. By continuously tuning detection and enforcement mechanisms, MCAS ensures that protection remains aligned with organizational risk appetite and regulatory requirements.
Question 78 :
Your organization wants to protect endpoints from malware, ransomware, and other attacks while enabling automated investigation and remediation. Which solution should you deploy?
A) Microsoft Cloud App Security
B) Microsoft Sentinel
C) Microsoft Defender for Endpoint
D) Azure AD Identity Protection
Answer: C) Microsoft Defender for Endpoint
Explanation:
Microsoft Defender for Endpoint (MDE) is an enterprise-grade endpoint protection platform that includes threat detection, automated investigation, and remediation capabilities. Modern malware and ransomware attacks are increasingly sophisticated, requiring solutions that can detect threats proactively and remediate incidents without heavy reliance on manual intervention.
Option A – Microsoft Cloud App Security: MCAS focuses on cloud application monitoring and data protection and does not provide endpoint-level malware protection.
Option B – Microsoft Sentinel: Sentinel is a SIEM/SOAR solution for log aggregation and incident response automation. While it can coordinate with MDE to remediate threats, it does not natively protect endpoints against malware.
Option C – Microsoft Defender for Endpoint: MDE collects telemetry from endpoints, including process execution, registry changes, 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 queries allow proactive detection of anomalies, and integration with Sentinel provides centralized enterprise visibility.
Option D – Azure AD Identity Protection: Identity Protection focuses on identity risks and sign-in anomalies and does not provide endpoint malware protection.
Implementation steps:
Onboard endpoints to MDE for continuous monitoring.
Configure the AIR engine for automatic investigation and remediation.
Conduct advanced hunting to detect suspicious behaviors proactively.
Integrate with Sentinel for enterprise-wide incident correlation and response.
Review remediation results to optimize policies and reduce false positives.
MDE ensures endpoint protection, automated threat response, and operational efficiency, reducing the impact of malware and ransomware on organizational resources.
Question 79 :
Your organization wants centralized monitoring of security events, proactive threat hunting, and automated response across endpoints, cloud applications, and identities. Which solution is most suitable?
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 designed to provide centralized visibility, analytics, threat hunting, and automated incident response. Organizations with complex security environments require centralized monitoring and automated orchestration to respond efficiently to threats.
Option A – Microsoft Cloud App Security: MCAS monitors cloud application activity and enforces data protection policies, but does not provide enterprise-wide SIEM or SOAR capabilities.
Option B – Microsoft Sentinel: Sentinel collects logs from endpoints, identities, and cloud applications, applies analytics to detect anomalies, and supports threat hunting using Kusto Query Language (KQL). Automated playbooks enable rapid response to incidents, such as isolating devices, disabling compromised accounts, and alerting security teams. Dashboards provide real-time visibility for operational monitoring and compliance reporting.
Option C – Azure AD Identity Protection: Identity Protection addresses identity risks but does not provide centralized monitoring or automated response across multiple domains.
Option D – Microsoft Defender for Endpoint: MDE protects endpoints and provides telemetry, but cannot independently offer enterprise-wide SIEM or automated orchestration capabilities.
Implementation steps:
Connect endpoints, cloud applications, and identity sources to Sentinel.
Configure analytics rules and event correlation to detect anomalies.
Build dashboards for real-time monitoring and reporting.
Develop automated playbooks for common incident scenarios.
Conduct regular threat hunting exercises to identify emerging threats.
Sentinel provides a unified platform to detect, investigate, and respond to threats across endpoints, identities, and cloud applications efficiently.
Question 80 :
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 you deploy?
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 risky behaviors on endpoints to prevent malware and ransomware infections. Unlike traditional signature-based antivirus, ASR uses behavior-based prevention to stop attacks before they can compromise systems.
Option A – Microsoft Defender Antivirus: Traditional antivirus is reactive and signature-based, limiting its effectiveness against zero-day attacks or behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules prevent high-risk behaviors, such as executing macros from email attachments, running scripts from temporary directories, and opening untrusted executables. Integration with MDE provides telemetry, alerting, and automated remediation. ASR reduces the attack surface, prevents ransomware propagation, and allows security teams to respond effectively to threats.
Option C – Azure AD Identity Protection: Focuses on identity risks and authentication but does not prevent malware or ransomware execution on endpoints.
Option D – Microsoft Cloud App Security: Monitors cloud applications and enforces data policies, but cannot restrict malware or ransomware execution on endpoints.
Implementation steps:
Test ASR rules in a controlled environment to minimize false positives.
Gradually deploy ASR rules across endpoints while monitoring user impact.
Configure automated remediation workflows for detected threats.
Continuously monitor alerts and telemetry to refine ASR policies.
Educate users on safe practices to complement technical controls.
MDE with ASR rules provides proactive, behavior-based protection for endpoints, reducing ransomware and malware risk while maintaining operational efficiency.
Question 81 :
Your organization wants to detect and remediate risky sign-ins, compromised accounts, and unusual authentication patterns automatically. Which solution should you implement?
A) Microsoft Cloud App Security
B) Microsoft Defender for Endpoint
C) Azure AD Identity Protection
D) Microsoft Sentinel
Answer: C) Azure AD Identity Protection
Explanation:
Azure AD Identity Protection is specifically designed to manage and mitigate identity-based risks. Identity-related attacks, such as compromised accounts and risky sign-ins, are a primary cause of data breaches. Identity Protection uses machine learning, behavioral analytics, and Microsoft’s global threat intelligence to detect suspicious activity and assign risk levels to users and sign-ins.
Option A – Microsoft Cloud App Security: While MCAS provides visibility into cloud application activity and can detect anomalous behavior, it does not directly assess authentication risk or enforce automated risk-based policies for compromised accounts.
Option B – Microsoft Defender for Endpoint: Defender for Endpoint protects endpoints from malware, ransomware, and suspicious activity, but does not provide identity risk detection or automated conditional access enforcement.
Option C – Azure AD Identity Protection: Identity Protection evaluates sign-in risk and user account risk, integrates with Conditional Access policies, and enables automated responses. For example, medium-risk users may be prompted for MFA, while high-risk users may be blocked or required to reset passwords. Dashboards allow security teams to monitor trends, investigate anomalies, and prioritize remediation. Automated policies reduce manual intervention, enabling proactive mitigation of identity compromise.
Option D – Microsoft Sentinel: Sentinel can aggregate identity logs and detect anomalies, but cannot enforce automated identity risk remediation or conditional access independently without integration with Identity Protection.
Implementation steps:
Enable detection of risky sign-ins and compromised accounts.
Integrate Identity Protection with Conditional Access to enforce risk-based policies automatically.
Monitor dashboards to track high-risk users and sign-ins.
Deploy MFA and educate users on secure authentication practices.
Continuously review and refine risk thresholds and policy automation to adapt to evolving threats.
Identity Protection ensures that suspicious authentication attempts are addressed promptly, reducing potential data breaches and maintaining compliance with security and regulatory standards.
Question 82 :
Your organization wants to monitor all cloud applications, detect anomalous user behavior, and prevent unauthorized data access or exfiltration. Which solution should be deployed?
A) Microsoft Defender for Endpoint
B) Microsoft Cloud App Security
C) Azure AD Identity Protection
D) Microsoft Sentinel
Answer: B) Microsoft Cloud App Security
Explanation:
Microsoft Cloud App Security (MCAS) is a Cloud Access Security Broker (CASB) that provides visibility, real-time monitoring, and control over cloud applications. In cloud-first environments, monitoring user activity and preventing data exfiltration are critical. MCAS combines behavioral analytics, anomaly detection, and policy enforcement to protect sensitive data from accidental or malicious leakage.
Option A – Microsoft Defender for Endpoint: MDE protects endpoints from malware and ransomware but does not provide cloud application monitoring or session-level control.
Option B – Microsoft Cloud App Security: MCAS identifies all cloud applications in use, classifies them as sanctioned or unsanctioned, and applies session-level controls to prevent risky behaviors such as downloading, uploading, or sharing sensitive data. Integration with Microsoft Information Protection allows automatic labeling and protection of sensitive files. Behavioral analytics detect anomalies such as mass downloads, unusual login locations, and suspicious sharing patterns. Alerts and dashboards allow rapid investigation and response, minimizing the risk of data loss or compromise.
Option C – Azure AD Identity Protection: Identity Protection assesses sign-in risk and accounts, but does not provide real-time monitoring or control of cloud application sessions.
Option D – Microsoft Sentinel: Sentinel aggregates logs and detects anomalies, but does not enforce session-level controls or prevent data exfiltration without integration with MCAS.
Implementation steps:
Discover cloud applications in use and classify them based on risk.
Apply session-level policies to control risky actions.
Integrate Microsoft Information Protection to classify and protect sensitive data automatically.
Monitor alerts and dashboards for anomalous activity.
Investigate incidents and refine policies to maintain ongoing protection.
MCAS provides comprehensive protection for cloud applications by combining visibility, behavioral analytics, and real-time policy enforcement to safeguard sensitive data and maintain compliance.
Question 83 :
Your organization wants to protect endpoints against malware, ransomware, and other advanced attacks while enabling automated investigation and remediation. Which solution is most appropriate?
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 enterprise endpoint security solution that provides advanced threat detection, automated investigation, and remediation. In today’s environment, malware and ransomware attacks are increasingly sophisticated, and manual response is often too slow to prevent damage. MDE addresses these challenges through real-time monitoring, behavior-based detection, and automated response capabilities.
Option A – Microsoft Cloud App Security: MCAS focuses on cloud application monitoring and data protection, not endpoint malware or ransomware.
Option B – Microsoft Sentinel: Sentinel functions as a SIEM/SOAR solution, aggregating logs and orchestrating responses. While it can coordinate remediation with MDE, it does not directly protect endpoints from malware.
Option C – Microsoft Defender for Endpoint: MDE collects 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 detection of threats. Integration with Sentinel allows centralized enterprise visibility, correlation, and orchestration.
Option D – Azure AD Identity Protection: Identity Protection addresses identity and authentication risks, not endpoint malware or ransomware.
Implementation steps:
Onboard endpoints to MDE for continuous monitoring.
Configure the AIR engine to automate the investigation and remediation of threats.
Conduct advanced hunting to detect suspicious behavior proactively.
Integrate with Sentinel for centralized incident management.
Continuously optimize policies and review remediation outcomes to reduce false positives.
MDE provides comprehensive endpoint protection with automated response capabilities, minimizing the impact of malware and ransomware while enhancing operational efficiency.
Question 84 :
Your organization wants centralized security monitoring, proactive threat hunting, and automated incident response across endpoints, identities, and cloud applications. Which solution is most suitable?
A) Microsoft Cloud App Security
B) Microsoft Sentinel
C) Azure AD Identity Protection
D) Microsoft Defender for Endpoint
Answer: B) Microsoft Sentinel
Explanation:
Microsoft Sentinel is a cloud-native SIEM and SOAR platform that provides enterprise-wide visibility, threat analytics, proactive threat hunting, and automated response orchestration. Organizations with complex IT environments need a centralized solution that can correlate events from multiple sources and trigger automated responses efficiently.
Option A – Microsoft Cloud App Security: MCAS provides cloud application visibility and policy enforcement, but does not deliver enterprise-wide SIEM or automated orchestration.
Option B – Microsoft Sentinel: Sentinel aggregates telemetry from endpoints, identities, and cloud applications. Analytics rules detect anomalies and correlate events to uncover advanced threats. Threat hunting is facilitated through Kusto Query Language (KQL), enabling proactive detection of hidden threats. Automated playbooks allow rapid response to incidents, such as isolating compromised devices, disabling accounts, and sending notifications. Dashboards provide real-time operational visibility and support compliance reporting.
Option C – Azure AD Identity Protection: Identity Protection focuses on identity risk but cannot provide centralized monitoring or automated response across multiple domains.
Option D – Microsoft Defender for Endpoint: MDE protects endpoints and provides telemetry but does not independently offer SIEM or automated orchestration capabilities for enterprise-wide monitoring.
Implementation steps:
Connect endpoints, cloud apps, and identity sources to Sentinel.
Configure analytics rules and event correlation to detect anomalies.
Build dashboards for real-time monitoring and reporting.
Develop automated playbooks for common incident scenarios.
Conduct proactive threat hunting exercises to identify emerging threats.
Sentinel provides a unified platform for detecting, investigating, and responding to threats across endpoints, identities, and cloud applications efficiently, enhancing organizational security posture.
Question 85 :
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 go beyond traditional signature-based antivirus by using behavior-based prevention to stop attacks before they can compromise systems.
Option A – Microsoft Defender Antivirus: Traditional antivirus is reactive and signature-based, providing limited protection against zero-day attacks or sophisticated, behavior-based threats.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules prevent high-risk behaviors, including executing macros from email attachments, running scripts from temporary folders, and opening untrusted executables. Integration with MDE provides telemetry, alerting, and automated remediation. ASR reduces the attack surface, prevents ransomware propagation, and allows security teams to respond rapidly to threats.
Option C – Azure AD Identity Protection: Focuses on identity and authentication risks but does not protect endpoints from malware or ransomware execution.
Option D – Microsoft Cloud App Security: Monitors cloud application activity and enforces data policies, but cannot prevent malware or ransomware execution 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 workflows to respond to detected threats.
Continuously monitor alerts and refine ASR policies.
Educate users on safe practices to complement technical protections.
MDE with ASR rules provides proactive, behavior-based endpoint protection, reducing ransomware and malware risk while maintaining operational efficiency.
Question 86 :
Your organization wants to detect suspicious logins, identify compromised accounts, and enforce risk-based access policies automatically. Which Microsoft 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 designed to proactively manage identity-based risks and protect accounts from compromise. Identity compromise is one of the most common attack vectors in modern organizations, allowing attackers to gain unauthorized access, escalate privileges, or move laterally across the environment. Identity Protection uses advanced machine learning models, user behavior analytics, and global threat intelligence to detect risky sign-ins, identify compromised accounts, and provide automated mitigation strategies.
Option A – Microsoft Defender for Endpoint: While MDE protects endpoints against malware, ransomware, and suspicious processes, it does not monitor authentication activities or enforce risk-based access policies. Endpoint protection is critical, but does not address identity risks directly.
Option B – Azure AD Identity Protection: Identity Protection assesses the risk of sign-ins and user accounts. High-risk users can be blocked, while medium-risk users may be prompted for multi-factor authentication (MFA). Integration with Conditional Access allows automated enforcement of policies based on risk scores. Dashboards provide actionable insights into trends, high-risk users, and compromised accounts, allowing security teams to prioritize mitigation efforts. Identity Protection reduces the likelihood of unauthorized access, ensures compliance, and streamlines identity risk management.
Option C – Microsoft Cloud App Security: MCAS monitors cloud application usage and detects anomalous behavior, but does not provide automated identity risk remediation or enforce access policies for compromised accounts.
Option D – Microsoft Sentinel: Sentinel aggregates logs and correlates events to detect anomalies, but does not independently enforce automated identity risk remediation or conditional access policies without integration with Azure AD Identity Protection.
Implementation steps:
Enable identity risk detection for users and sign-ins.
Integrate Identity Protection with Conditional Access to automatically respond to identified risks.
Monitor dashboards to identify high-risk users and sign-ins.
Deploy MFA and educate users on best authentication practices.
Continuously refine policies and risk thresholds to adapt to evolving threats.
Azure AD Identity Protection strengthens identity security by automatically detecting compromised accounts, enforcing risk-based access, and providing security teams with insights to act quickly, significantly reducing the risk of data breaches.
Question 87 :
Your organization wants to monitor all cloud applications, detect anomalous behavior, and prevent data exfiltration or accidental sharing of sensitive information. Which solution should be deployed?
A) Microsoft Defender for Endpoint
B) Microsoft Cloud App Security
C) Azure AD Identity Protection
D) Microsoft Sentinel
Answer: B) Microsoft Cloud App Security
Explanation:
Microsoft Cloud App Security (MCAS) is a Cloud Access Security Broker (CASB) that provides visibility, control, and threat detection for cloud applications. In modern enterprises, cloud application adoption creates significant risks of unauthorized data access or accidental data leaks. MCAS addresses these risks by applying real-time monitoring, behavioral analytics, and policy enforcement.
Option A – Microsoft Defender for Endpoint: While MDE secures endpoints against malware and ransomware, it does not provide visibility into cloud application activity or control over data sharing within SaaS applications.
Option B – Microsoft Cloud App Security: MCAS discovers all cloud applications in use, evaluates risk levels, and categorizes them as sanctioned or unsanctioned. Session-level policies can prevent users from performing risky actions such as mass downloads, sharing sensitive data outside the organization, or uploading files to untrusted locations. Integration with Microsoft Information Protection ensures automatic classification and protection of sensitive files. Behavioral analytics detect anomalies such as unusual sign-in locations, mass file downloads, or sharing patterns, indicating potential insider threats or compromised accounts. Dashboards and alerts enable security teams to respond promptly to incidents and refine policies over time.
Option C – Azure AD Identity Protection: Identity Protection evaluates authentication risk but does not enforce session-level policies or monitor cloud application activity in real time.
Option D – Microsoft Sentinel: Sentinel provides log aggregation and analytics for anomaly detection, but cannot enforce real-time cloud application controls or prevent data leaks independently without MCAS integration.
Implementation steps:
Discover all cloud applications and assess risk levels.
Apply session-level policies to control downloads, uploads, and sharing.
Integrate Microsoft Information Protection for automatic classification and protection of sensitive data.
Monitor alerts and dashboards for anomalies in user activity.
Refine policies and conduct regular audits to maintain data security and compliance.
MCAS provides comprehensive security for cloud applications by combining visibility, anomaly detection, and real-time policy enforcement, effectively protecting sensitive data and supporting regulatory compliance.
Question 88 :
Your organization wants to protect endpoints against malware, ransomware, and advanced persistent threats 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 an advanced endpoint protection platform that provides real-time threat detection, automated investigation, and remediation capabilities. Modern threats, including ransomware, malware, and fileless attacks, require solutions capable of proactively detecting and remediating incidents with minimal manual intervention.
Option A – Microsoft Cloud App Security: MCAS focuses on monitoring cloud applications and controlling data exfiltration, but does not provide endpoint protection against malware or ransomware.
Option B – Microsoft Sentinel: Sentinel is a SIEM/SOAR platform that aggregates logs and automates incident response, but it does not directly prevent malware or ransomware infections on endpoints. Integration with MDE is necessary for remediation.
Option C – Microsoft Defender for Endpoint: MDE collects comprehensive telemetry from endpoints, 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 capabilities allow proactive threat detection. Integration with Sentinel enables centralized enterprise-wide visibility, analytics, and orchestration.
Option D – Azure AD Identity Protection: Identity Protection focuses on identity risks and authentication anomalies and does not protect endpoints from malware or ransomware.
Implementation steps:
Onboard endpoints to MDE for continuous monitoring.
Configure the AIR engine to automate the investigation and remediation of threats.
Conduct advanced hunting to proactively identify suspicious activities.
Integrate with Sentinel for centralized incident management and correlation.
Continuously optimize policies and review remediation outcomes to reduce false positives and improve detection efficiency.
MDE provides advanced endpoint protection and automated remediation capabilities, minimizing the impact of malware and ransomware while enhancing organizational operational efficiency.
Question 89 :
Your organization wants centralized monitoring, proactive threat hunting, and automated 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 that provides centralized visibility, analytics, threat hunting, and automated incident response. Organizations require centralized monitoring to detect complex attacks that span multiple domains, including endpoints, identities, and cloud applications. Sentinel enables proactive threat detection, investigation, and automated response orchestration across the enterprise.
Option A – Microsoft Cloud App Security: MCAS focuses on cloud application visibility and policy enforcement but does not provide SIEM or automated orchestration capabilities.
Option B – Microsoft Sentinel: Sentinel collects and aggregates telemetry from endpoints, cloud applications, and identities. Analytics rules detect anomalies, correlate events, and trigger alerts. Threat hunting capabilities using Kusto Query Language (KQL) allow analysts to uncover hidden threats proactively. Automated playbooks enable rapid response actions such as isolating compromised devices, disabling accounts, or notifying security teams. Dashboards provide real-time visibility into operational and compliance status, facilitating proactive security management.
Option C – Azure AD Identity Protection: Identity Protection monitors 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 capabilities independently.
Implementation steps:
Connect endpoints, cloud apps, and identity sources to Sentinel.
Configure analytics rules and correlation for anomaly detection.
Develop dashboards for real-time monitoring and operational visibility.
Build automated playbooks to respond to common incident types.
Conduct regular threat hunting exercises to proactively identify emerging threats.
Sentinel provides a unified platform for detection, investigation, and response across multiple domains, enabling organizations to maintain a strong security posture and quickly respond to incidents.
Question 90 :
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 are designed to proactively block high-risk behaviors on endpoints to prevent malware and ransomware infections. Unlike traditional signature-based antivirus solutions, ASR uses behavior-based prevention to stop threats before they can compromise systems, minimizing the attack surface.
Option A – Microsoft Defender Antivirus: Traditional antivirus is reactive and signature-based, providing limited protection against zero-day or advanced behavior-based attacks.
Option B – Microsoft Defender for Endpoint with ASR rules: ASR rules prevent execution of risky behaviors such as running macros from email attachments, executing scripts from temporary directories, and opening untrusted executable files. Integration with MDE provides telemetry, alerting, and automated remediation. ASR rules reduce the attack surface, prevent ransomware propagation, and allow security teams to respond effectively.
Option C – Azure AD Identity Protection: Focuses on identity risks and authentication anomalies, not endpoint malware prevention.
Option D – Microsoft Cloud App Security: Monitors cloud applications and enforces data policies, but cannot prevent malware or ransomware execution on endpoints.
Implementation steps:
Test ASR rules in a controlled environment to minimize 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 to improve protection.
Educate users on safe computing practices to complement technical protections.
MDE with ASR rules provides proactive, behavior-based endpoint protection, reducing ransomware and malware risk while maintaining operational efficiency and security posture.