{"id":15802,"date":"2026-09-18T09:44:35","date_gmt":"2026-09-18T09:44:35","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=15802"},"modified":"2026-09-18T09:44:35","modified_gmt":"2026-09-18T09:44:35","slug":"microsoft-sc-200-practice-test-questions-and-exam-dumps-part5-q81-100","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-sc-200-practice-test-questions-and-exam-dumps-part5-q81-100\/","title":{"rendered":"Microsoft SC-200 Practice Test Questions and Exam Dumps Part5 Q81-100"},"content":{"rendered":"

<\/h1>\n

View Full <\/b>Microsoft SC-200 Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 81<\/b><\/h3>\n

Which Microsoft Sentinel feature is used to detect suspicious activity by running KQL-based detection logic against collected data?<\/b><\/p>\n

    \n
  1. Watchlist<\/span><\/li>\n
  2. Analytics rule<\/span><\/li>\n
  3. Workbook<\/span><\/li>\n
  4. Playbook<\/span><\/li>\n<\/ol>\n

    Correct Answer: 2<\/b><\/p>\n

    Explanation<\/b><\/p>\n

    Microsoft Sentinel analytics rules use detection logic to identify potentially suspicious activity in collected security data. Many analytics rules use KQL queries to evaluate events and generate alerts when specified conditions are met. Depending on the rule type and configuration, the resulting alerts can contribute to incidents for analyst investigation. Security teams should tune analytics rules to balance detection coverage with alert volume. They should also ensure that the required data sources are connected and that queries use appropriate time ranges and entity mappings for effective incident investigation.<\/span><\/p>\n

    Question 82<\/b><\/h3>\n

    A security analyst wants to investigate whether a known malicious domain has contacted endpoints in the organization. Which capability is most appropriate?<\/b><\/p>\n

      \n
    1. Microsoft Sentinel Advanced Hunting<\/span><\/li>\n
    2. Microsoft Defender Antivirus<\/span><\/li>\n
    3. Microsoft Intune<\/span><\/li>\n
    4. Microsoft Purview Information Protection<\/span><\/li>\n<\/ol>\n

      Correct Answer: 1<\/b><\/p>\n

      Explanation<\/b><\/p>\n

      Advanced hunting can be used to search available security telemetry for activity associated with a known malicious domain. Analysts can use KQL to search network events, DNS activity, device events, or other relevant tables depending on the available data. This can help determine which devices communicated with the domain and when the activity occurred. The investigation should consider the reliability and age of the indicator. Analysts can then correlate matching activity with processes, users, URLs, and other entities to determine whether the communication represents an actual compromise.<\/span><\/p>\n

      Question 83<\/b><\/h3>\n

      Which Microsoft Sentinel feature can help enrich an incident by automatically retrieving additional information from external services?<\/b><\/p>\n

        \n
      1. Playbook<\/span><\/li>\n
      2. Workbook<\/span><\/li>\n
      3. Watchlist<\/span><\/li>\n
      4. Analytics rule<\/span><\/li>\n<\/ol>\n

        Correct Answer: 1<\/b><\/p>\n

        Explanation<\/b><\/p>\n

        A Sentinel playbook can automate enrichment activities by interacting with connected services through Azure Logic Apps. For example, a workflow can retrieve information about an IP address, send details to a ticketing system, or notify an investigation team. Automated enrichment can save analyst time by providing useful context without requiring every step to be performed manually. Security teams should verify connector permissions and ensure that enrichment workflows handle sensitive information appropriately. Playbooks should also be tested carefully because failures in external integrations can affect the expected incident-response workflow.<\/span><\/p>\n

        Question 84<\/b><\/h3>\n

        Which Microsoft Sentinel component provides a centralized location for investigating security incidents generated by analytics rules?<\/b><\/p>\n

          \n
        1. Incident queue<\/span><\/li>\n
        2. Watchlist<\/span><\/li>\n
        3. Content hub<\/span><\/li>\n
        4. Workbook<\/span><\/li>\n<\/ol>\n

          Correct Answer: 1<\/b><\/p>\n

          Explanation<\/b><\/p>\n

          The Microsoft Sentinel incident queue provides a centralized view of security incidents that require investigation. Analysts can review incident details, related alerts, entities, evidence, comments, and other information from the incident interface. Incidents can be assigned to analysts and updated as investigation progresses. The incident queue helps security operations teams organize and prioritize their workload rather than handling alerts without broader context. Analysts should review the associated evidence before closing an incident and document relevant findings and actions taken during the investigation.<\/span><\/p>\n

          Question 85<\/b><\/h3>\n

          Which Microsoft Sentinel feature can group related alerts into a single security incident?<\/b><\/p>\n

            \n
          1. Data Collection Rule<\/span><\/li>\n
          2. Incident creation and alert correlation<\/span><\/li>\n
          3. Workbook<\/span><\/li>\n
          4. Watchlist<\/span><\/li>\n<\/ol>\n

            Correct Answer: 2<\/b><\/p>\n

            Explanation<\/b><\/p>\n

            Microsoft Sentinel can correlate related alerts and group them into incidents, depending on the configured analytics rules and incident settings. Grouping related alerts helps analysts investigate an attack as a connected event rather than treating every alert as an independent case. Correlation can use relationships among entities and alert characteristics to identify related activity. Analysts should still validate the resulting incident because automated grouping does not guarantee that every related alert belongs to the same attack. Reviewing entities, timestamps, and evidence helps establish the actual relationship.<\/span><\/p>\n

            Question 86<\/b><\/h3>\n

            Which Microsoft Sentinel capability can provide prebuilt security content for specific Microsoft and third-party solutions?<\/b><\/p>\n

              \n
            1. Content hub<\/span><\/li>\n
            2. Live response<\/span><\/li>\n
            3. Device isolation<\/span><\/li>\n
            4. Threat Explorer<\/span><\/li>\n<\/ol>\n

              Correct Answer: 1<\/b><\/p>\n

              Explanation<\/b><\/p>\n

              The Microsoft Sentinel content hub provides packaged security content for supported solutions and scenarios. Depending on the package, content can include connectors, analytics rules, hunting queries, workbooks, parsers, and other components. This allows security teams to deploy relevant capabilities more efficiently than building every integration from scratch. Analysts should review the content before enabling it because requirements, permissions, and data sources can differ between solutions. Keeping installed content updated can also provide access to improvements and additional detections as Microsoft and solution providers update their packages.<\/span><\/p>\n

              Question 87<\/b><\/h3>\n

              A security team wants to collect logs from a third-party firewall into Microsoft Sentinel using a standardized security event format. Which format is commonly supported?<\/b><\/p>\n

                \n
              1. JSON<\/span><\/li>\n
              2. CEF<\/span><\/li>\n
              3. HTML<\/span><\/li>\n
              4. DOCX<\/span><\/li>\n<\/ol>\n

                Correct Answer: 2<\/b><\/p>\n

                Explanation<\/b><\/p>\n

                Common Event Format, or CEF, is a standardized format commonly used to send security events from supported third-party products to Microsoft Sentinel. CEF helps provide a consistent structure for security information so that events can be ingested and analyzed more effectively. Organizations can use supported collection mechanisms and connectors to bring these events into the Sentinel workspace. Analysts should verify that the source device generates correctly formatted CEF messages and that the collection infrastructure is configured properly. Incorrect field mapping or missing values can reduce detection and investigation quality.<\/span><\/p>\n

                Question 88<\/b><\/h3>\n

                Which Azure service is used by Microsoft Sentinel playbooks to create automated workflows?<\/b><\/p>\n

                  \n
                1. Azure Logic Apps<\/span><\/li>\n
                2. Azure DNS<\/span><\/li>\n
                3. Azure Storage Explorer<\/span><\/li>\n
                4. Azure Virtual Desktop<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 1<\/b><\/p>\n

                  Explanation<\/b><\/p>\n

                  Microsoft Sentinel playbooks use Azure Logic Apps to create automated workflows. Logic Apps provides connectors and actions that allow workflows to interact with Microsoft services, third-party applications, ticketing systems, messaging platforms, and other supported services. This makes playbooks useful for automated incident response and enrichment. Administrators should ensure that the Logic App has appropriate permissions and that its connectors are configured securely. Testing is important before production use because automated workflows may change incident information or perform response actions based on incoming security events.<\/span><\/p>\n

                  Question 89<\/b><\/h3>\n

                  Which Microsoft Defender XDR feature allows an analyst to search across multiple security datasets using KQL?<\/b><\/p>\n

                    \n
                  1. Advanced hunting<\/span><\/li>\n
                  2. Secure Score<\/span><\/li>\n
                  3. Threat analytics<\/span><\/li>\n
                  4. Device isolation<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 1<\/b><\/p>\n

                    Explanation<\/b><\/p>\n

                    Advanced hunting allows analysts to query security data across supported Microsoft Defender datasets using KQL. It is useful for proactive investigations, searching for indicators, validating detections, and identifying activity that may not have generated an alert. Analysts can investigate entities such as users, devices, processes, files, IP addresses, and domains depending on the available tables. Effective hunting requires knowledge of the data schema and relevant fields. Analysts should also consider data retention and query time ranges because historical information may not remain available indefinitely.<\/span><\/p>\n

                    Question 90<\/b><\/h3>\n

                    Which KQL operator should an analyst use to filter records where a field matches a specific condition?<\/b><\/p>\n

                      \n
                    1. summarize<\/span><\/li>\n
                    2. project<\/span><\/li>\n
                    3. where<\/span><\/li>\n
                    4. join<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 3<\/b><\/p>\n

                      Explanation<\/b><\/p>\n

                      The KQL <\/span>where<\/span> operator filters records based on a specified condition. It is one of the most commonly used operators in security hunting because analysts frequently need to narrow large datasets to events associated with a particular user, device, IP address, process, or time period. For example, an analyst can use <\/span>where<\/span> to return only failed authentication events. Filtering the dataset early can make subsequent operations such as <\/span>summarize<\/span> more efficient and easier to interpret. Analysts should ensure that the condition matches the correct field and data type.<\/span><\/p>\n

                      Question 91<\/b><\/h3>\n

                      Which KQL operator can be used to sort query results in ascending or descending order?<\/b><\/p>\n

                        \n
                      1. order by<\/span><\/li>\n
                      2. project<\/span><\/li>\n
                      3. extend<\/span><\/li>\n
                      4. summarize<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 1<\/b><\/p>\n

                        Explanation<\/b><\/p>\n

                        The KQL <\/span>order by<\/span> operator sorts query results according to one or more fields. Analysts can use it to organize investigation results, such as sorting events by timestamp or placing the highest event counts first. Sorting is particularly useful after aggregation because it can bring the most significant results to the top of the output. Analysts should combine sorting with appropriate filtering and summarization when handling large datasets. Clear ordering makes query results easier to review and can help analysts quickly identify the most relevant activity.<\/span><\/p>\n

                        Question 92<\/b><\/h3>\n

                        An analyst wants to create a new calculated value from existing fields in a KQL query. Which operator should be used?<\/b><\/p>\n

                          \n
                        1. where<\/span><\/li>\n
                        2. extend<\/span><\/li>\n
                        3. join<\/span><\/li>\n
                        4. project<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 2<\/b><\/p>\n

                          Explanation<\/b><\/p>\n

                          The KQL <\/span>extend<\/span> operator creates new calculated columns based on existing data. This can help analysts derive useful values during threat hunting without modifying the underlying data. For example, an analyst could create a calculated field based on existing event properties and then use that field for filtering or further analysis. <\/span>extend<\/span> differs from <\/span>project<\/span>, which primarily controls which columns are returned. Analysts should ensure that the expression used with <\/span>extend<\/span> is valid for the relevant field types and produces meaningful results for the investigation.<\/span><\/p>\n

                          Question 93<\/b><\/h3>\n

                          Which Microsoft Defender XDR capability can provide analysts with information about the security status and exposure of an organization’s devices?<\/b><\/p>\n

                            \n
                          1. Exposure management<\/span><\/li>\n
                          2. Safe Links<\/span><\/li>\n
                          3. Threat Explorer<\/span><\/li>\n
                          4. Attack simulation<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 1<\/b><\/p>\n

                            Explanation<\/b><\/p>\n

                            Exposure management provides visibility into security exposure and weaknesses across an organization’s environment. Depending on the enabled capabilities, it can help security teams understand vulnerabilities, attack paths, security posture, and other factors that contribute to organizational risk. Analysts can use this information to prioritize remediation and identify areas where attackers may have opportunities. Exposure management is different from incident investigation because it can focus on weaknesses that exist even when there is no active security alert. Organizations should regularly review exposure data as their infrastructure changes.<\/span><\/p>\n

                            Question 94<\/b><\/h3>\n

                            Which Microsoft Defender for Endpoint capability can discover unmanaged devices connected to an organization’s network?<\/b><\/p>\n

                              \n
                            1. Device discovery<\/span><\/li>\n
                            2. Live response<\/span><\/li>\n
                            3. Device isolation<\/span><\/li>\n
                            4. Threat analytics<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 1<\/b><\/p>\n

                              Explanation<\/b><\/p>\n

                              Device discovery helps organizations identify devices observed on their network, including devices that may not have been fully onboarded into Microsoft Defender for Endpoint. This can improve visibility into the organization’s attack surface and help security teams identify unmanaged or unexpected systems. Analysts can use discovered-device information to prioritize onboarding, investigation, or additional security controls. Device discovery is primarily a visibility capability and does not by itself guarantee that every identified device is compromised. Security teams should validate device ownership and role before taking response actions.<\/span><\/p>\n

                              Question 95<\/b><\/h3>\n

                              Which Microsoft Defender XDR capability can help an analyst understand how a threat affects multiple security workloads?<\/b><\/p>\n

                                \n
                              1. Incident correlation<\/span><\/li>\n
                              2. Device discovery<\/span><\/li>\n
                              3. Secure Score<\/span><\/li>\n
                              4. Attack simulation training<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 2<\/b><\/p>\n

                                Explanation<\/b><\/p>\n

                                Incident correlation in Microsoft Defender XDR helps connect related security signals from supported workloads into a broader incident view. An attack may involve an email message, a compromised identity, and endpoint activity, so investigating each signal separately can make the overall attack difficult to understand. Correlated incidents can provide relationships between alerts and entities that help analysts establish the attack sequence. Analysts should review the evidence and timestamps to confirm the relationships and then investigate affected accounts, devices, messages, and other entities as appropriate.<\/span><\/p>\n

                                Question 96<\/b><\/h3>\n

                                Which Microsoft Defender for Endpoint feature can automatically investigate a suspicious alert and provide remediation recommendations?<\/b><\/p>\n

                                  \n
                                1. Automated investigation and response<\/span><\/li>\n
                                2. Device discovery<\/span><\/li>\n
                                3. Advanced hunting<\/span><\/li>\n
                                4. Secure Score<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 1<\/b><\/p>\n

                                  Explanation<\/b><\/p>\n

                                  Automated investigation and response can analyze supported alerts and related evidence to determine whether suspicious activity requires remediation. It can identify potentially malicious artifacts and, depending on configuration and permissions, recommend or perform supported remediation actions. This helps reduce repetitive work for security analysts and can accelerate response to common threats. Analysts should review automated investigation results and understand the actions taken. Automation should be configured according to organizational requirements because aggressive remediation can affect legitimate files or processes if the underlying detection is incorrect.<\/span><\/p>\n

                                  Question 97<\/b><\/h3>\n

                                  Which Microsoft Sentinel feature can use an external threat intelligence source to improve security monitoring?<\/b><\/p>\n

                                    \n
                                  1. Threat intelligence connector<\/span><\/li>\n
                                  2. Workbook<\/span><\/li>\n
                                  3. Incident queue<\/span><\/li>\n
                                  4. Device group<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1<\/b><\/p>\n

                                    Explanation<\/b><\/p>\n

                                    Threat intelligence connectors allow Microsoft Sentinel to ingest threat intelligence from supported sources. Indicators such as malicious IP addresses, domains, URLs, and file hashes can then be used to enrich investigations and support detection scenarios. The quality of threat intelligence depends on the source and the freshness and reliability of its indicators. Analysts should avoid treating every indicator as definitive proof of malicious activity. Combining threat intelligence with internal telemetry and contextual evidence provides a stronger basis for determining whether an observed connection or entity represents a genuine threat.<\/span><\/p>\n

                                    Question 98<\/b><\/h3>\n

                                    A security analyst needs to determine whether an account has authenticated from an unusual location. Which data should be investigated first?<\/b><\/p>\n

                                      \n
                                    1. Microsoft Entra sign-in logs<\/span><\/li>\n
                                    2. Device compliance policies<\/span><\/li>\n
                                    3. Defender Antivirus exclusions<\/span><\/li>\n
                                    4. Microsoft Sentinel workbooks only<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 4<\/b><\/p>\n

                                      Explanation<\/b><\/p>\n

                                      Microsoft Entra sign-in logs contain authentication-related information that can help analysts investigate unusual sign-in locations and patterns. Analysts can review details such as the account, timestamp, source location, IP address, device information, and authentication-related properties available in the logs. A suspicious location does not automatically indicate account compromise because users may travel or use VPN services. Analysts should correlate the sign-in with other activity, including device behavior and additional authentication events. This broader context helps distinguish legitimate unusual activity from potentially compromised credentials.<\/span><\/p>\n

                                      Question 99<\/b><\/h3>\n

                                      Which Microsoft Sentinel capability can automatically add information to an incident without requiring an analyst to perform each enrichment step manually?<\/b><\/p>\n

                                        \n
                                      1. Playbook<\/span><\/li>\n
                                      2. Workbook<\/span><\/li>\n
                                      3. Watchlist<\/span><\/li>\n
                                      4. Analytics rule<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 1<\/b><\/p>\n

                                        Explanation<\/b><\/p>\n

                                        A Sentinel playbook can automate incident enrichment by executing a predefined workflow through Azure Logic Apps. The workflow can retrieve additional information from supported services, send notifications, create tickets, or perform other configured actions. Automated enrichment is useful when analysts repeatedly need the same contextual information during investigations. The workflow should be designed with appropriate permissions and error handling so that failures do not create misleading incident information. Security teams should test playbooks thoroughly and document what actions they perform before using them in automated production workflows.<\/span><\/p>\n

                                        Question 100<\/b><\/h3>\n

                                        Which Microsoft Sentinel capability is most appropriate for proactively searching for suspicious behavior that has not triggered an existing detection rule?<\/b><\/p>\n

                                          \n
                                        1. Threat hunting<\/span><\/li>\n
                                        2. Automation rule<\/span><\/li>\n
                                        3. Incident assignment<\/span><\/li>\n
                                        4. Content hub<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 1<\/b><\/p>\n

                                          Explanation<\/b><\/p>\n

                                          Threat hunting allows analysts to proactively search security data for suspicious behaviors, indicators, and attack techniques without waiting for an existing alert. Analysts can use KQL to examine telemetry for patterns that may not be covered by current analytics rules. Successful hunting can also identify gaps in detection coverage and lead to the development of new analytics rules or custom detections. Hunting should be hypothesis-driven and supported by reliable data sources. Analysts should document useful findings and consider turning recurring, validated patterns into automated detections.<\/span><\/p>\n

                                           <\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Microsoft SC-200 Exam Dumps and Practice Test Dumps.   Question 81 Which Microsoft Sentinel feature is used to detect suspicious activity by running KQL-based detection logic against collected data? Watchlist Analytics rule Workbook Playbook Correct Answer: 2 Explanation Microsoft Sentinel analytics rules use detection logic to identify potentially suspicious activity in collected security […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15802"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=15802"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15802\/revisions"}],"predecessor-version":[{"id":15833,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15802\/revisions\/15833"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=15802"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=15802"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=15802"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}