{"id":15811,"date":"2026-09-18T09:43:15","date_gmt":"2026-09-18T09:43:15","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=15811"},"modified":"2026-09-18T09:43:15","modified_gmt":"2026-09-18T09:43:15","slug":"microsoft-sc-200-practice-test-questions-and-exam-dumps-part13-q241-260","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-sc-200-practice-test-questions-and-exam-dumps-part13-q241-260\/","title":{"rendered":"Microsoft SC-200 Practice Test Questions and Exam Dumps Part13 Q241-260"},"content":{"rendered":"

<\/h1>\n

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

 <\/p>\n

Question 241<\/b><\/h3>\n

Which Microsoft Sentinel capability allows an analyst to automate actions based on incident properties such as severity or title?<\/b><\/p>\n

    \n
  1. Automation rule<\/span><\/li>\n
  2. Workbook<\/span><\/li>\n
  3. Watchlist<\/span><\/li>\n
  4. Data connector<\/span><\/li>\n<\/ol>\n

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

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

    Microsoft Sentinel automation rules allow organizations to automate actions based on conditions associated with incidents. Conditions can include properties such as severity, status, tactics, or other available incident information. When the configured conditions are met, the rule can perform actions such as assigning an owner, changing status, adding tags, or triggering a playbook. Automation rules help reduce repetitive analyst tasks and standardize incident handling. They should be carefully scoped and tested because incorrectly configured conditions can cause unintended changes to incidents or workflows.<\/span><\/p>\n

    Question 242<\/b><\/h3>\n

    An analyst needs to search Microsoft Defender telemetry for a specific process name across multiple devices. Which capability should be used?<\/b><\/p>\n

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

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

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

      Microsoft Defender Advanced Hunting allows security analysts to query available security telemetry across supported Microsoft Defender workloads using KQL. An analyst can search process-related tables for a specific process name and determine which devices reported the activity. The results can include device names, timestamps, accounts, process commands, and other contextual fields depending on the dataset. Advanced hunting is useful for proactive investigation because analysts can search for activity even when there is not already a specific alert. Analysts should apply suitable time ranges and filters to keep investigations focused.<\/span><\/p>\n

      Question 243<\/b><\/h3>\n

      Which Microsoft Defender for Endpoint capability can restrict a compromised device’s network connectivity while allowing communication with the Defender service?<\/b><\/p>\n

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

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

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

        Microsoft Defender for Endpoint device isolation can restrict a potentially compromised device’s network connectivity to help contain an incident. Isolation reduces the device’s ability to communicate with other systems while maintaining the connectivity needed for Defender-related management and response operations. This can help prevent attackers from continuing lateral movement or communicating with malicious infrastructure. Analysts should consider business impact before isolating critical systems and follow organizational response procedures. After isolation, investigators can use available endpoint telemetry and response capabilities to examine the device and determine appropriate remediation.<\/span><\/p>\n

        Question 244<\/b><\/h3>\n

        Which KQL operator is most appropriate when an analyst wants to calculate the number of events for each device?<\/b><\/p>\n

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

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

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

          The KQL <\/span>summarize<\/span> operator performs aggregation across records. To calculate the number of events for each device, an analyst can use an expression such as <\/span>summarize count() by DeviceName<\/span>. This converts individual event records into grouped results that show the total activity associated with each device. Analysts can then use additional operators such as <\/span>order by<\/span> to arrange the results. The query should first filter the appropriate event type and time range so that the resulting counts represent the specific activity relevant to the investigation.<\/span><\/p>\n

          Question 245<\/b><\/h3>\n

          Which Microsoft Defender for Identity component collects signals from supported Active Directory environments for identity-based threat detection?<\/b><\/p>\n

            \n
          1. Defender for Identity sensor<\/span><\/li>\n
          2. Sentinel workbook<\/span><\/li>\n
          3. Safe Links<\/span><\/li>\n
          4. Advanced hunting query<\/span><\/li>\n<\/ol>\n

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

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

            The Microsoft Defender for Identity sensor is deployed to supported environments to collect and analyze signals associated with on-premises identities and Active Directory activity. These signals help Defender for Identity detect suspicious behaviors such as credential attacks, reconnaissance, and lateral movement. Proper sensor deployment and connectivity are important for obtaining useful identity telemetry. Analysts investigating identity threats can correlate Defender for Identity alerts with endpoint and authentication information from other Microsoft security products. Sensor health and coverage should be monitored because gaps in telemetry can affect detection and investigation quality.<\/span><\/p>\n

            Question 246<\/b><\/h3>\n

            Which KQL statement would return only events where the <\/b>DeviceName<\/b> field contains a particular text value?<\/b><\/p>\n

              \n
            1. summarize DeviceName<\/span><\/li>\n
            2. project DeviceName<\/span><\/li>\n
            3. where DeviceName contains “server”<\/span><\/li>\n
            4. order by DeviceName<\/span><\/li>\n<\/ol>\n

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

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

              The KQL <\/span>where<\/span> operator can filter records based on conditions applied to fields. The <\/span>contains<\/span> operator checks whether a specified string appears within a field value. Therefore, <\/span>where DeviceName contains “server”<\/span> can return records where the device name includes the specified text. This is useful when analysts know only part of a device name or need to search for a group of similarly named systems. Analysts should understand that <\/span>contains<\/span> can return multiple matches and should use more specific filtering when precise identification is required.<\/span><\/p>\n

              Question 247<\/b><\/h3>\n

              A security analyst wants to review Microsoft’s current information about a known threat actor and associated attack techniques. Which Defender capability is designed for this purpose?<\/b><\/p>\n

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

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

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

                Microsoft Defender threat analytics provides threat intelligence and research information about significant threats and threat actors. It can help security teams understand attack techniques, affected products, indicators, and recommended protections associated with documented threats. Analysts can use this information to improve their understanding of active campaigns and compare the organization’s security posture against known threats. Threat analytics should be used together with the organization’s own telemetry because general threat information does not automatically prove that a specific environment has been compromised. Analysts should validate relevant indicators in their own data.<\/span><\/p>\n

                Question 248<\/b><\/h3>\n

                Which Sentinel data-collection component defines how Azure Monitor Agent collects and sends specified data?<\/b><\/p>\n

                  \n
                1. Data Collection Rule<\/span><\/li>\n
                2. Automation rule<\/span><\/li>\n
                3. Workbook<\/span><\/li>\n
                4. Watchlist<\/span><\/li>\n<\/ol>\n

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

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

                  A Data Collection Rule, or DCR, defines how Azure Monitor Agent collects and processes specified monitoring data. DCRs can control data sources, collection settings, transformations, and destinations depending on the supported configuration. In Microsoft Sentinel deployments, DCRs are important when collecting data through Azure Monitor Agent-based methods. Correct configuration helps ensure that required security telemetry reaches the appropriate destination. Analysts troubleshooting missing data should verify the agent, DCR configuration, permissions, and destination settings rather than assuming that an installed agent automatically collects every available event.<\/span><\/p>\n

                  Question 249<\/b><\/h3>\n

                  Which KQL operator can combine data from two queries when they share a related key?<\/b><\/p>\n

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

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

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

                    The KQL <\/span>join<\/span> operator combines rows from two tabular expressions based on matching values in specified columns or expressions. This is useful when an investigation requires information stored in different datasets. For example, an analyst might join records using a device identifier to connect endpoint activity with another related dataset. Different join kinds determine how matching and unmatched records are handled. Analysts should select the correct join key and type because incorrect joins can produce misleading results or omit important information. Testing the query on a limited dataset can help validate its behavior.<\/span><\/p>\n

                    Question 250<\/b><\/h3>\n

                    Which Microsoft Sentinel feature can display authentication failures as charts and other visualizations for monitoring purposes?<\/b><\/p>\n

                      \n
                    1. Playbook<\/span><\/li>\n
                    2. Workbook<\/span><\/li>\n
                    3. Automation rule<\/span><\/li>\n
                    4. Data connector<\/span><\/li>\n<\/ol>\n

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

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

                      Microsoft Sentinel workbooks provide interactive visualizations that can help analysts monitor security activity such as authentication failures. A workbook can use KQL queries to transform collected data into charts, tables, graphs, and other visual components. This allows teams to identify trends and unusual changes more easily than reviewing raw events alone. Workbooks are primarily visualization and reporting tools, so they do not replace analytics rules or automated response capabilities. The usefulness of a workbook depends on the quality and availability of the underlying security data.<\/span><\/p>\n

                      Question 251<\/b><\/h3>\n

                      Which Microsoft Defender XDR capability allows security teams to create custom detections from KQL queries?<\/b><\/p>\n

                        \n
                      1. Custom detection rules<\/span><\/li>\n
                      2. Secure Score<\/span><\/li>\n
                      3. Device discovery<\/span><\/li>\n
                      4. Threat analytics<\/span><\/li>\n<\/ol>\n

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

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

                        Microsoft Defender XDR custom detection rules allow security teams to create detections based on queries over supported Defender telemetry. Analysts can define query logic that identifies organization-specific suspicious activity and configure actions or alerting behavior according to the available options. Custom detections are useful when built-in detections do not fully address a particular environment or threat scenario. Before deploying a custom rule, analysts should test the query carefully to reduce false positives and verify that the required data is available. Rules should also be reviewed as the environment and threat landscape change.<\/span><\/p>\n

                        Question 252<\/b><\/h3>\n

                        Which KQL function is useful for finding the largest value in a numeric field within an aggregation?<\/b><\/p>\n

                          \n
                        1. min()<\/span><\/li>\n
                        2. count()<\/span><\/li>\n
                        3. max()<\/span><\/li>\n
                        4. dcount()<\/span><\/li>\n<\/ol>\n

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

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

                          The KQL <\/span>max()<\/span> aggregation function returns the largest value found in a specified field within the selected dataset or group. Analysts can use it when investigating values such as event counts, timestamps, numerical measurements, or other fields where the highest value is relevant. It can be combined with <\/span>summarize<\/span> to calculate maximum values for groups such as users or devices. Analysts should confirm that the selected field is numeric or otherwise compatible with the aggregation. Proper filtering is also important so that unrelated records do not affect the result.<\/span><\/p>\n

                          Question 253<\/b><\/h3>\n

                          A user reports receiving a suspicious email containing a potentially malicious attachment. Which Defender for Office 365 capability should the analyst primarily investigate for attachment-related protection?<\/b><\/p>\n

                            \n
                          1. Safe Links<\/span><\/li>\n
                          2. Safe Attachments<\/span><\/li>\n
                          3. Device discovery<\/span><\/li>\n
                          4. Attack surface reduction<\/span><\/li>\n<\/ol>\n

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

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

                            Safe Attachments is a Microsoft Defender for Office 365 capability designed to help protect users from malicious attachments. It analyzes supported attachments according to the organization’s configured protection policies and available security intelligence. When investigating a suspicious message, analysts can review message and attachment information to understand how the email was handled and whether related messages reached other recipients. Safe Attachments focuses on attachments, while Safe Links addresses potentially malicious URLs. Analysts should consider both when an email contains links and files because a single phishing message may include multiple threat vectors.<\/span><\/p>\n

                            Question 254<\/b><\/h3>\n

                            Which KQL operator can return selected columns while excluding other fields from the result?<\/b><\/p>\n

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

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

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

                              The KQL <\/span>project<\/span> operator specifies which columns should be included in the query output. Analysts can use it to simplify investigation results by returning only fields relevant to the current task. For example, a query can project timestamp, username, device name, and source IP while leaving unrelated fields out of the displayed result. This can improve readability and make subsequent query processing easier. Analysts should be careful when projecting fields before later operators because removing a field that is needed by a subsequent operation can prevent that operation from working as intended.<\/span><\/p>\n

                              Question 255<\/b><\/h3>\n

                              Which Microsoft Sentinel feature can be used to store a list of approved IP addresses that a detection query needs to reference?<\/b><\/p>\n

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

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

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

                                A Microsoft Sentinel watchlist is suitable for storing reference information such as approved IP addresses that can be used in queries and detection logic. Analysts can maintain the list separately from individual KQL queries, making updates easier when approved addresses change. A detection can reference the watchlist to exclude known legitimate activity or identify values that require special handling. Watchlists should be maintained carefully because outdated or incorrect entries can affect detection results. Organizations should establish ownership and review procedures so that reference data remains accurate and relevant.<\/span><\/p>\n

                                Question 256<\/b><\/h3>\n

                                An analyst wants to identify the earliest event timestamp associated with each user. Which KQL aggregation should be used?<\/b><\/p>\n

                                  \n
                                1. count()<\/span><\/li>\n
                                2. dcount()<\/span><\/li>\n
                                3. min()<\/span><\/li>\n
                                4. max()<\/span><\/li>\n<\/ol>\n

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

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

                                  The KQL <\/span>min()<\/span> aggregation function can identify the smallest value in a field, making it useful for finding the earliest timestamp within a group. For example, an analyst can use <\/span>summarize min(Timestamp) by Username<\/span> to determine the earliest observed event for each user. This can help establish investigation timelines and identify when activity first appeared in the selected dataset. Analysts should ensure that the timestamp field is appropriate and that the query covers the correct investigation period. The earliest observed event is not necessarily the true beginning of an attack if telemetry is incomplete.<\/span><\/p>\n

                                  Question 257<\/b><\/h3>\n

                                  Which Microsoft Defender XDR capability provides a consolidated view of alerts from different Defender workloads?<\/b><\/p>\n

                                    \n
                                  1. Microsoft Defender XDR incidents<\/span><\/li>\n
                                  2. Safe Links<\/span><\/li>\n
                                  3. Device discovery<\/span><\/li>\n
                                  4. Cloud Security Posture Management<\/span><\/li>\n<\/ol>\n

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

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

                                    Microsoft Defender XDR incidents consolidate related alerts from supported Defender workloads into a broader incident context. This helps analysts investigate activity that may span endpoints, identities, email, applications, and other protected resources. Correlating alerts can provide a clearer picture of an attack than investigating each alert independently. Analysts should review the associated alerts, entities, timelines, and evidence to determine whether the activity represents one coordinated incident. Consolidation can reduce duplicate investigation work while providing additional context for response decisions.<\/span><\/p>\n

                                    Question 258<\/b><\/h3>\n

                                    Which KQL operator is used to sort records from newest to oldest when working with a timestamp field?<\/b><\/p>\n

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

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

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

                                      The KQL <\/span>order by<\/span> operator sorts query results according to one or more columns. When an analyst wants the newest events first, the timestamp can be sorted in descending order. This is especially useful during incident investigations because recent activity can be reviewed quickly before examining older events. Analysts can combine sorting with <\/span>where<\/span> to restrict the dataset to relevant records. Sorting does not change the underlying data; it only controls the order in which the query results are displayed. Appropriate filtering should normally occur before sorting large datasets.<\/span><\/p>\n

                                      Question 259<\/b><\/h3>\n

                                      Which Microsoft Sentinel capability can trigger an Azure Logic Apps workflow in response to an incident?<\/b><\/p>\n

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

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

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

                                        Microsoft Sentinel playbooks use Azure Logic Apps to automate response workflows. A playbook can be triggered in response to an incident or alert and can perform actions such as sending notifications, enriching indicators, creating tickets, or interacting with supported services. This enables security teams to automate repetitive response tasks while maintaining consistent procedures. Before deployment, administrators should verify connector permissions, authentication, trigger conditions, and action behavior. Playbooks should also be tested carefully because an incorrect automated action could affect production systems or send inappropriate information to external services.<\/span><\/p>\n

                                        Question 260<\/b><\/h3>\n

                                        An analyst needs to count security events by username and then display only users with more than 50 events. Which sequence is most appropriate?<\/b><\/p>\n

                                          \n
                                        1. project Username | order by Username<\/span><\/li>\n
                                        2. extend Username | distinct Username<\/span><\/li>\n
                                        3. join Username | project Username<\/span><\/li>\n
                                        4. summarize count() by Username | where count_ > 50<\/span><\/li>\n<\/ol>\n

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

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

                                          The appropriate approach is to aggregate the events by username with <\/span>summarize count() by Username<\/span> and then filter the resulting count to retain users with more than 50 events. This converts individual records into a per-user activity summary before applying the threshold. Analysts should first use <\/span>where<\/span> to restrict the dataset to the relevant event type and investigation period when necessary. High event counts can have legitimate explanations, such as service accounts or automated applications, so the resulting users should be investigated using additional contextual evidence.<\/span><\/p>\n

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

                                          View Full Microsoft SC-200 Exam Dumps and Practice Test Dumps.   Question 241 Which Microsoft Sentinel capability allows an analyst to automate actions based on incident properties such as severity or title? Automation rule Workbook Watchlist Data connector Correct Answer: 1 Explanation Microsoft Sentinel automation rules allow organizations to automate actions based on conditions associated […]<\/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\/15811"}],"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=15811"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15811\/revisions"}],"predecessor-version":[{"id":15825,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15811\/revisions\/15825"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=15811"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=15811"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=15811"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}