{"id":15814,"date":"2026-09-18T09:42:45","date_gmt":"2026-09-18T09:42:45","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=15814"},"modified":"2026-09-18T09:42:45","modified_gmt":"2026-09-18T09:42:45","slug":"microsoft-sc-200-practice-test-questions-and-exam-dumps-part16-q301-320","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-sc-200-practice-test-questions-and-exam-dumps-part16-q301-320\/","title":{"rendered":"Microsoft SC-200 Practice Test Questions and Exam Dumps Part16 Q301-320"},"content":{"rendered":"

<\/h1>\n

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

 <\/p>\n

Question 301<\/b><\/h3>\n

Which Microsoft Sentinel capability can automatically trigger actions when an incident meets defined conditions?<\/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 security teams to define conditions that determine when automated incident actions should occur. Conditions can be based on properties such as severity, status, tactics, or other available incident attributes. Actions may include assigning an owner, adding tags, changing status, or running a playbook. Automation rules help standardize repetitive incident-management activities and reduce manual effort. Administrators should test rules carefully before enabling them broadly because overly broad conditions may modify incidents that do not require the intended action.<\/span><\/p>\n

    Question 302<\/b><\/h3>\n

    Which KQL operator is used to combine rows from two tables based on a related field?<\/b><\/p>\n

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

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

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

      The KQL <\/span>join<\/span> operator combines records from two tabular expressions using a matching field or expression. This is useful when information required for an investigation exists in separate datasets. For example, an analyst may join information using a device identifier, account name, or another common field. The selected join kind determines how matching and unmatched records are handled. Analysts should validate the join field and results carefully because mismatched values or incorrect join types can produce incomplete or misleading investigation results.<\/span><\/p>\n

      Question 303<\/b><\/h3>\n

      An analyst needs to search across Microsoft Defender data for a specific malicious domain and determine which devices contacted it. Which capability should be used?<\/b><\/p>\n

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

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

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

        Microsoft Defender Advanced Hunting allows analysts to proactively query supported Defender telemetry with KQL. An analyst investigating a malicious domain can search network-related data for matching domain values and identify associated devices, users, timestamps, and other available details. This can help determine the scope of potential exposure and identify systems requiring further investigation. Analysts should verify the domain against reliable threat intelligence and examine surrounding network activity before assuming every match is malicious. Advanced hunting is particularly useful when the investigation requires searching across many devices or workloads.<\/span><\/p>\n

        Question 304<\/b><\/h3>\n

        Which Microsoft Defender for Endpoint action is designed to contain a potentially compromised device by restricting its network communication?<\/b><\/p>\n

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

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

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

          Device isolation in Microsoft Defender for Endpoint is a containment capability that restricts a potentially compromised device’s network communication. It can help prevent an attacker from communicating with other systems or continuing lateral movement while security personnel investigate the endpoint. Defender maintains the connectivity required for supported management and response functions. Analysts should consider operational impact before isolating critical or sensitive systems and follow the organization’s incident-response procedures. Isolation is a containment measure rather than a complete remediation process, so additional investigation and recovery actions may still be required.<\/span><\/p>\n

          Question 305<\/b><\/h3>\n

          Which KQL operator can calculate the total number of events for each account?<\/b><\/p>\n

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

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

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

            The KQL <\/span>summarize<\/span> operator is used to aggregate records and calculate values such as event counts. An analyst can use <\/span>summarize count() by AccountName<\/span> to determine how many matching events are associated with each account. This is useful for identifying accounts with unusually high activity or creating investigation summaries. Analysts should normally filter the source data before aggregation so that only relevant events are counted. High activity does not automatically indicate malicious behavior because service accounts, automated applications, and administrative processes can legitimately generate many events.<\/span><\/p>\n

            Question 306<\/b><\/h3>\n

            Which Microsoft Defender for Office 365 feature helps protect users from malicious URLs in email and other supported content?<\/b><\/p>\n

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

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

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

              Microsoft Defender for Office 365 Safe Links helps protect users from potentially malicious URLs. Depending on configured policies and supported scenarios, links can be evaluated when users interact with them, allowing protection to be applied according to available threat intelligence and organizational settings. Analysts investigating phishing messages can review URL-related information and determine whether users were exposed to or interacted with suspicious destinations. Safe Links focuses on URLs, while Safe Attachments addresses potentially malicious files. Both controls can work together to provide broader protection against different components of phishing attacks.<\/span><\/p>\n

              Question 307<\/b><\/h3>\n

              Which KQL operator is used to return only selected columns from a query result?<\/b><\/p>\n

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

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

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

                The KQL <\/span>project<\/span> operator specifies which columns should appear in the query output. Analysts can use it to focus results on fields that are relevant to an investigation, such as timestamp, username, device, IP address, and action. Removing unnecessary fields can make large query results easier to review. However, analysts should avoid projecting away columns that will be required by later query operations. Unlike <\/span>where<\/span>, <\/span>project<\/span> does not filter rows. It changes the structure of the result by controlling the fields returned.<\/span><\/p>\n

                Question 308<\/b><\/h3>\n

                Which Microsoft Sentinel capability can store a maintained list of known trusted IP addresses for use in detection queries?<\/b><\/p>\n

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

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

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

                  Microsoft Sentinel watchlists can store reusable reference data such as trusted IP addresses, privileged accounts, domains, device names, or other values. Detection queries can reference the watchlist rather than embedding a long list of values directly into query logic. This makes maintaining changing reference information easier and allows multiple detections to use the same list. Organizations should establish ownership and review procedures for watchlists because outdated entries can affect detection accuracy. Analysts should also clearly document whether a list represents trusted, suspicious, or otherwise categorized entities.<\/span><\/p>\n

                  Question 309<\/b><\/h3>\n

                  Which Microsoft Defender XDR capability provides a unified investigation context for related alerts from multiple security workloads?<\/b><\/p>\n

                    \n
                  1. Threat Explorer<\/span><\/li>\n
                  2. Microsoft Defender XDR incidents<\/span><\/li>\n
                  3. Secure Score<\/span><\/li>\n
                  4. Device discovery<\/span><\/li>\n<\/ol>\n

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

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

                    Microsoft Defender XDR incidents provide a consolidated investigation context for related alerts across supported Defender workloads. This can include signals involving endpoints, identities, email, and other protected resources. Consolidating related alerts helps analysts understand a broader attack sequence instead of investigating each alert independently. Analysts can review associated entities, evidence, alerts, and timelines to determine how the activity is connected. Correlation should still be validated because alerts grouped into an incident require analyst review before response actions are taken.<\/span><\/p>\n

                    Question 310<\/b><\/h3>\n

                    Which KQL aggregation function is useful for determining the latest observed value of a timestamp field?<\/b><\/p>\n

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

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

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

                      The KQL <\/span>max()<\/span> aggregation function returns the highest value within the selected dataset or group. Because timestamps can be compared numerically, <\/span>max(Timestamp)<\/span> can identify the latest observed event for a user, device, or other grouping. For example, an analyst can use <\/span>summarize max(Timestamp) by DeviceName<\/span> to determine the most recent timestamp associated with each device. The result represents the latest event available in the queried data, not necessarily the device’s actual current state. Analysts should use an appropriate time range and event type.<\/span><\/p>\n

                      Question 311<\/b><\/h3>\n

                      Which Microsoft Sentinel component provides interactive visualizations based on KQL queries?<\/b><\/p>\n

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

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

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

                        Microsoft Sentinel workbooks use queries and visualization components to present security information through charts, tables, graphs, and other interactive elements. Analysts can use workbooks to monitor incident trends, authentication activity, threat indicators, and other security metrics. Workbooks are useful for operational monitoring and reporting but do not themselves provide the primary detection or automated response function. Their results depend on the availability and quality of the underlying data. Organizations can use existing workbook templates or customize them to support specific monitoring requirements.<\/span><\/p>\n

                        Question 312<\/b><\/h3>\n

                        An analyst wants to calculate the number of different users associated with each source IP address. Which KQL approach is appropriate?<\/b><\/p>\n

                          \n
                        1. summarize count() by SourceIP<\/span><\/li>\n
                        2. distinct Username<\/span><\/li>\n
                        3. summarize dcount(Username) by SourceIP<\/span><\/li>\n
                        4. project SourceIP, Username<\/span><\/li>\n<\/ol>\n

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

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

                          The expression <\/span>summarize dcount(Username) by SourceIP<\/span> calculates an approximate number of unique users associated with each source IP address. This can be useful during investigations involving shared infrastructure, unusual authentication sources, or potential credential abuse. Analysts should first restrict the dataset to relevant authentication events and an appropriate time range. A source IP associated with many users may be legitimate, especially when it belongs to a corporate gateway, proxy, VPN, or other shared service. Additional contextual evidence is required before treating the observation as suspicious.<\/span><\/p>\n

                          Question 313<\/b><\/h3>\n

                          Which Microsoft Defender for Endpoint capability allows authorized analysts to investigate an endpoint remotely using supported commands?<\/b><\/p>\n

                            \n
                          1. Exposure management<\/span><\/li>\n
                          2. Live response<\/span><\/li>\n
                          3. Secure Score<\/span><\/li>\n
                          4. Threat analytics<\/span><\/li>\n<\/ol>\n

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

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

                            Microsoft Defender for Endpoint Live Response provides authorized personnel with remote investigation and response capabilities on supported endpoints. Analysts can use supported commands to inspect files, processes, system information, and other artifacts without requiring physical access to the device. This can be especially useful when an endpoint is suspected of compromise. Because certain actions may modify the device, analysts should follow documented response procedures and maintain appropriate records of activity. Available commands and permissions depend on the organization’s Defender configuration and the analyst’s assigned privileges.<\/span><\/p>\n

                            Question 314<\/b><\/h3>\n

                            Which KQL operator can filter records to a specific time period using a timestamp condition?<\/b><\/p>\n

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

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

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

                              The KQL <\/span>where<\/span> operator can filter records according to timestamp conditions. Analysts can use it to restrict a query to events occurring after, before, or between specified times. Time filtering is essential during incident investigation because security tables can contain very large volumes of historical telemetry. Limiting the query to the relevant period improves efficiency and reduces unrelated results. Analysts should consider time zones, ingestion delays, and the difference between event time and ingestion time when interpreting timestamp-based investigation results.<\/span><\/p>\n

                              Question 315<\/b><\/h3>\n

                              Which Microsoft Defender for Cloud capability helps identify cloud resources that have security configuration weaknesses?<\/b><\/p>\n

                                \n
                              1. Cloud Security Posture Management<\/span><\/li>\n
                              2. Safe Links<\/span><\/li>\n
                              3. Threat Explorer<\/span><\/li>\n
                              4. Attack simulation training<\/span><\/li>\n<\/ol>\n

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

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

                                Cloud Security Posture Management, or CSPM, helps organizations identify security posture and configuration weaknesses across supported cloud resources. It can provide recommendations related to secure configurations, compliance, resource settings, and other conditions that may increase exposure. Security teams can use these findings to prioritize improvements and reduce preventable risks. CSPM is distinct from workload protection, which focuses more directly on protecting individual workloads. Analysts should review the context and business impact of recommendations before implementing configuration changes, particularly for production resources with operational dependencies.<\/span><\/p>\n

                                Question 316<\/b><\/h3>\n

                                Which KQL function provides an approximate count of unique values?<\/b><\/p>\n

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

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

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

                                  The KQL <\/span>dcount()<\/span> function calculates an approximate distinct count of values. It is useful for estimating the number of unique users, devices, IP addresses, domains, or other entities in large security datasets. For example, <\/span>summarize dcount(DeviceName)<\/span> can estimate how many distinct devices generated matching events. Because the function is designed for efficient distinct counting, its result is approximate rather than an exact enumeration. Analysts should choose <\/span>dcount()<\/span> when an approximate unique count is suitable and use other approaches when exact values or complete lists are required.<\/span><\/p>\n

                                  Question 317<\/b><\/h3>\n

                                  Which Microsoft Sentinel capability can use Azure Logic Apps to automate tasks such as sending notifications or creating tickets?<\/b><\/p>\n

                                    \n
                                  1. Watchlist<\/span><\/li>\n
                                  2. Workbook<\/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 security workflows. A playbook can perform actions such as sending notifications, creating service-management tickets, enriching indicators, or interacting with supported external systems. Playbooks can be triggered by Sentinel incidents or alerts and can be integrated with automation rules for conditional execution. Administrators should carefully configure authentication, permissions, triggers, and actions before deploying a workflow. Testing is important because an incorrectly configured playbook can send incorrect information, fail to create required tickets, or perform unintended actions in connected systems.<\/span><\/p>\n

                                    Question 318<\/b><\/h3>\n

                                    Which KQL operator is most appropriate for creating a calculated risk category from an existing numerical score?<\/b><\/p>\n

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

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

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

                                      The KQL <\/span>extend<\/span> operator can create a new calculated column from an existing value. Analysts can use conditional expressions to convert a numerical risk score into categories such as high, medium, or low. This can make subsequent filtering and analysis easier. For example, a derived category can be used in a workbook or additional query logic. Analysts should ensure that the threshold values are appropriate for the security scenario and documented clearly. Calculated classifications should not be treated as authoritative without understanding the source data and underlying scoring methodology.<\/span><\/p>\n

                                      Question 319<\/b><\/h3>\n

                                      Which Microsoft Defender XDR feature provides information about known threats, including affected products and recommended protections?<\/b><\/p>\n

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

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

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

                                        Microsoft Defender threat analytics provides security research and threat intelligence about significant documented threats. Information can include threat descriptions, affected products, indicators, tactics and techniques, and recommended protections where available. Analysts can use this information to understand relevant campaigns and investigate whether associated indicators or behaviors appear in their own environment. Threat analytics provides broader threat context but does not independently establish that an organization is compromised. Analysts should compare documented threat information with internal telemetry and investigate matching evidence before taking incident-response actions.<\/span><\/p>\n

                                        Question 320<\/b><\/h3>\n

                                        A security analyst wants to find accounts that generated more than 100 failed authentication events during a selected period. Which KQL approach is most appropriate?<\/b><\/p>\n

                                          \n
                                        1. distinct AccountName<\/span><\/li>\n
                                        2. project AccountName<\/span><\/li>\n
                                        3. extend AccountName<\/span><\/li>\n
                                        4. summarize count() by AccountName | where count_ > 100<\/span><\/li>\n<\/ol>\n

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

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

                                          The appropriate approach is to aggregate authentication events by account using <\/span>summarize count() by AccountName<\/span> and then filter the aggregated results with <\/span>where count_ > 100<\/span>. This produces a list of accounts whose matching event count exceeds the specified threshold. Analysts should first filter the source data to failed authentication events and the appropriate time period. High failure counts can result from legitimate causes such as incorrect passwords, automated services, or expired credentials. Additional authentication, identity, and endpoint evidence should be examined before classifying an account as compromised.<\/span><\/p>\n

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

                                          View Full Microsoft SC-200 Exam Dumps and Practice Test Dumps.   Question 301 Which Microsoft Sentinel capability can automatically trigger actions when an incident meets defined conditions? Automation rule Workbook Watchlist Data connector Correct Answer: 1 Explanation Microsoft Sentinel automation rules allow security teams to define conditions that determine when automated incident actions should occur. […]<\/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\/15814"}],"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=15814"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15814\/revisions"}],"predecessor-version":[{"id":15822,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15814\/revisions\/15822"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=15814"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=15814"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=15814"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}