{"id":15806,"date":"2026-09-18T09:42:37","date_gmt":"2026-09-18T09:42:37","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=15806"},"modified":"2026-09-18T09:42:37","modified_gmt":"2026-09-18T09:42:37","slug":"microsoft-sc-200-practice-test-questions-and-exam-dumps-part17-q321-340","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-sc-200-practice-test-questions-and-exam-dumps-part17-q321-340\/","title":{"rendered":"Microsoft SC-200 Practice Test Questions and Exam Dumps Part17 Q321-340"},"content":{"rendered":"

<\/h1>\n

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

 <\/p>\n

Question 321<\/b><\/h3>\n

Which Microsoft Sentinel capability can automatically assign an incident to an analyst based on predefined conditions?<\/b><\/p>\n

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

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

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

    Microsoft Sentinel automation rules can perform incident-management actions when specified conditions are met. One supported use is assigning an incident to a designated owner or analyst. Organizations can use this capability to route incidents based on factors such as severity, source, or detection category. Automated assignment helps reduce manual administrative work and ensures that incidents enter the appropriate workflow consistently. Administrators should test conditions carefully because overly broad rules may route incidents incorrectly. Ownership rules should also be reviewed periodically as team responsibilities and operational procedures change.<\/span><\/p>\n

    Question 322<\/b><\/h3>\n

    Which KQL operator is used to calculate aggregate values such as count, average, minimum, or maximum?<\/b><\/p>\n

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

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

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

      The KQL <\/span>summarize<\/span> operator performs aggregation across records. Analysts can use functions such as <\/span>count()<\/span>, <\/span>avg()<\/span>, <\/span>min()<\/span>, <\/span>max()<\/span>, and <\/span>dcount()<\/span> with <\/span>summarize<\/span> to create useful investigation summaries. It can also group results by fields such as username, device, IP address, or application. For example, <\/span>summarize count() by DeviceName<\/span> calculates event totals for each device. Analysts should filter the data before aggregation when possible so that unrelated records do not affect the resulting measurements.<\/span><\/p>\n

      Question 323<\/b><\/h3>\n

      An analyst needs to determine which endpoints communicated with a suspicious IP address during an investigation. Which capability is most appropriate?<\/b><\/p>\n

        \n
      1. Microsoft Defender Advanced Hunting<\/span><\/li>\n
      2. Secure Score<\/span><\/li>\n
      3. Attack simulation training<\/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 Advanced Hunting allows analysts to query supported security telemetry using KQL. To investigate a suspicious IP address, the analyst can search relevant network activity tables and identify devices, accounts, timestamps, and other available information associated with that address. This can help determine the scope of potential exposure and identify endpoints requiring further investigation. Analysts should validate the indicator and review surrounding activity because an IP address can belong to legitimate services, shared infrastructure, or cloud providers. Advanced Hunting provides the query capability needed for proactive investigation across available Defender data.<\/span><\/p>\n

        Question 324<\/b><\/h3>\n

        Which Microsoft Defender for Endpoint capability helps an analyst examine the sequence of events that occurred on a device before and after an alert?<\/b><\/p>\n

          \n
        1. Secure Score<\/span><\/li>\n
        2. Device timeline<\/span><\/li>\n
        3. Exposure management<\/span><\/li>\n
        4. Device discovery<\/span><\/li>\n<\/ol>\n

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

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

          The Microsoft Defender for Endpoint device timeline provides chronological information about activity observed on an endpoint. Analysts can review events surrounding an alert to understand what occurred before, during, and after suspicious activity. Available information may include processes, files, network connections, logons, and other endpoint events. Reviewing the surrounding timeline can reveal related actions that are not immediately visible in the original alert. Analysts should select an appropriate time window and correlate timeline evidence with other alerts, user information, file indicators, and network activity to establish a reliable investigation sequence.<\/span><\/p>\n

          Question 325<\/b><\/h3>\n

          Which KQL operator can return only records that satisfy a specified Boolean condition?<\/b><\/p>\n

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

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

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

            The KQL <\/span>where<\/span> operator filters records according to Boolean conditions. Analysts can use comparisons such as equality, inequality, and string operators to identify events relevant to an investigation. Multiple conditions can be combined using <\/span>and<\/span> or <\/span>or<\/span>, allowing analysts to build more precise filters. For example, a query can return events associated with a particular device and user simultaneously. Filtering early in a query can also reduce unnecessary processing. Analysts should verify field names and expected values because an incorrect condition may exclude relevant security telemetry.<\/span><\/p>\n

            Question 326<\/b><\/h3>\n

            Which Microsoft Sentinel capability is best suited for presenting a visual summary of security incidents and trends?<\/b><\/p>\n

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

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

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

              Microsoft Sentinel workbooks provide interactive dashboards and visualizations based on security data. Analysts can use them to display incident counts, trends, authentication activity, geographic information, and other operational metrics. Workbooks can combine tables, charts, and query results to make large amounts of security information easier to interpret. They are primarily used for visualization and monitoring rather than automated response. The accuracy of a workbook depends on the quality of the underlying data and KQL queries, so analysts should verify that the data sources and query logic correctly represent the security activity being displayed.<\/span><\/p>\n

              Question 327<\/b><\/h3>\n

              Which Microsoft Defender for Office 365 capability can help analysts investigate whether a suspicious email was delivered to multiple recipients?<\/b><\/p>\n

                \n
              1. Safe Links<\/span><\/li>\n
              2. Threat Explorer<\/span><\/li>\n
              3. Safe Attachments<\/span><\/li>\n
              4. Device discovery<\/span><\/li>\n<\/ol>\n

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

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

                Microsoft Defender for Office 365 Threat Explorer provides investigation capabilities for email activity. Analysts can search and filter messages using information such as sender, recipient, subject, URL, attachment, and other available properties. This allows an investigator to determine whether a suspicious message affected multiple recipients and identify related messages across the organization. During phishing investigations, this broader visibility can help establish campaign scope and support remediation decisions. Analysts should consider message delivery, user interaction, and associated indicators together rather than relying only on whether a message was initially detected.<\/span><\/p>\n

                Question 328<\/b><\/h3>\n

                Which KQL operator can create a new field containing a calculated value for every matching record?<\/b><\/p>\n

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

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

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

                  The KQL <\/span>extend<\/span> operator creates calculated columns for individual records. Analysts can use expressions to derive values from existing fields, perform calculations, or create classifications during an investigation. For example, an analyst might calculate a duration between two timestamps or classify an event based on a numerical score. Because <\/span>extend<\/span> operates on individual records, it does not combine rows like <\/span>summarize<\/span>. Analysts should use meaningful field names and verify the resulting values before relying on calculated fields in further filtering, visualization, or detection logic.<\/span><\/p>\n

                  Question 329<\/b><\/h3>\n

                  Which Microsoft Defender XDR capability can provide information about the security exposure of devices and software vulnerabilities?<\/b><\/p>\n

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

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

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

                    Microsoft Defender exposure management helps security teams understand and reduce security exposure across assets and attack paths. It can provide information about vulnerabilities, device exposure, critical assets, and other conditions that may contribute to organizational risk. This information can help teams prioritize remediation according to the importance of affected resources and their relationship to potential attack paths. Exposure management is different from alert-focused investigation because it addresses broader security posture and potential weaknesses. Analysts should combine exposure information with threat intelligence and asset context when determining remediation priorities.<\/span><\/p>\n

                    Question 330<\/b><\/h3>\n

                    Which KQL function should be used when an analyst needs an approximate number of unique devices?<\/b><\/p>\n

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

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

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

                      The KQL <\/span>dcount()<\/span> function calculates an approximate distinct count of values. It is useful when analysts need to estimate the number of unique devices, users, IP addresses, or other entities in a large dataset. For example, <\/span>summarize dcount(DeviceName)<\/span> can estimate how many distinct devices generated matching events. The result is approximate because the function is optimized for efficient distinct counting rather than exact enumeration. Analysts should use it when an approximate value is sufficient and select an exact method when the investigation requires a complete or precise unique-value result.<\/span><\/p>\n

                      Question 331<\/b><\/h3>\n

                      Which Microsoft Sentinel capability can maintain a reusable collection of values such as approved service accounts or known malicious domains?<\/b><\/p>\n

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

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

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

                        Microsoft Sentinel watchlists provide reusable reference data that can be accessed by investigation and detection queries. Organizations can store values such as approved service accounts, known domains, IP addresses, device identifiers, or other security-related information. Keeping this information in a watchlist allows multiple queries to reference the same maintained dataset. Analysts should ensure that watchlists are regularly reviewed and updated because outdated entries can influence detection results. Clear documentation is also important so analysts understand what each list represents and whether its entries are trusted, suspicious, or otherwise categorized.<\/span><\/p>\n

                        Question 332<\/b><\/h3>\n

                        Which KQL operator can be used to display only the username and source IP columns from a result set?<\/b><\/p>\n

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

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

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

                          The KQL <\/span>project<\/span> operator controls which columns are returned in query results. For example, <\/span>project Username, SourceIP<\/span> returns only those selected fields from the input dataset. This is useful when an analyst wants to simplify output and focus on information relevant to the investigation. <\/span>project<\/span> does not filter records; it changes the columns displayed. Analysts should ensure that fields needed by later query operations are not removed prematurely. Selecting only relevant columns can make large investigation results easier to read and process.<\/span><\/p>\n

                          Question 333<\/b><\/h3>\n

                          Which Microsoft Sentinel feature can use Azure Logic Apps to enrich an incident with information from another service?<\/b><\/p>\n

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

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

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

                            Microsoft Sentinel playbooks use Azure Logic Apps to automate workflows and interact with supported external services. A playbook can receive incident information, extract an indicator such as an IP address or domain, and send it to another service for enrichment. The returned information can then support analyst investigation or additional automated actions. Enrichment workflows can reduce repetitive tasks and provide useful context quickly. Administrators should configure connectors and permissions securely and test workflows before deployment. External enrichment should be treated as supporting evidence and validated against other available security information.<\/span><\/p>\n

                            Question 334<\/b><\/h3>\n

                            Which KQL operator is appropriate for sorting events by timestamp from oldest to newest?<\/b><\/p>\n

                              \n
                            1. order by<\/span><\/li>\n
                            2. extend<\/span><\/li>\n
                            3. distinct<\/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. Sorting a timestamp in ascending order places older events before newer events, which can help analysts reconstruct the sequence of activity during an investigation. Analysts can combine sorting with <\/span>where<\/span> to focus on the relevant time range and event type. Sorting only changes the presentation order and does not alter the underlying records. For large datasets, filtering before sorting is generally useful because it reduces the amount of data that needs to be ordered.<\/span><\/p>\n

                              Question 335<\/b><\/h3>\n

                              Which Microsoft Defender for Identity capability helps detect suspicious authentication and identity behavior involving Active Directory?<\/b><\/p>\n

                                \n
                              1. Defender for Identity<\/span><\/li>\n
                              2. Safe Attachments<\/span><\/li>\n
                              3. Threat Explorer<\/span><\/li>\n
                              4. Secure Score<\/span><\/li>\n<\/ol>\n

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

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

                                Microsoft Defender for Identity analyzes identity-related signals from supported Active Directory environments to detect suspicious behaviors. It can help identify activities associated with credential attacks, reconnaissance, lateral movement, and other identity-based threats. Analysts can review Defender for Identity alerts and correlate them with endpoint and authentication telemetry to determine whether an identity may be compromised. Identity detections should be investigated in context because legitimate administrative activity can sometimes resemble attacker behavior. Sensor health and coverage are also important because incomplete identity telemetry can limit the effectiveness of investigations.<\/span><\/p>\n

                                Question 336<\/b><\/h3>\n

                                An analyst needs to find the earliest timestamp for each account in a dataset. Which KQL expression is most appropriate?<\/b><\/p>\n

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

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

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

                                  The <\/span>min()<\/span> aggregation returns the smallest value within each group, making it suitable for identifying the earliest timestamp. The expression <\/span>summarize min(Timestamp) by AccountName<\/span> produces one result for each account and shows the earliest timestamp available in the selected dataset. This can help analysts establish when activity was first observed during an investigation. The result depends on the telemetry and time range being queried, so the earliest returned event may not represent the actual beginning of an incident if data collection was incomplete or began after the activity started.<\/span><\/p>\n

                                  Question 337<\/b><\/h3>\n

                                  Which Microsoft Defender XDR capability can automatically investigate supported alerts and perform certain remediation actions?<\/b><\/p>\n

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

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

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

                                    Automated investigation and response can investigate supported security alerts and perform certain remediation actions according to available evidence and configured capabilities. This helps security teams reduce manual effort for common and repetitive security events. Analysts should review investigation results and remediation status, particularly when alerts involve important systems or users. The exact actions available depend on the Microsoft security product, alert type, permissions, licensing, and configuration. Automated response should complement human investigation rather than replace analyst review for complex incidents or actions that could have significant operational consequences.<\/span><\/p>\n

                                    Question 338<\/b><\/h3>\n

                                    Which KQL approach can identify users associated with more than 10 distinct source IP addresses?<\/b><\/p>\n

                                      \n
                                    1. distinct Username<\/span><\/li>\n
                                    2. project Username, SourceIP<\/span><\/li>\n
                                    3. summarize dcount(SourceIP) by Username | where dcount_SourceIP > 10<\/span><\/li>\n
                                    4. order by SourceIP<\/span><\/li>\n<\/ol>\n

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

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

                                      The query can group events by username, calculate the approximate distinct count of source IP addresses, and then filter users whose count exceeds the threshold. This approach is useful for identifying accounts associated with unusually diverse source addresses during a defined period. Analysts should first restrict the dataset to relevant authentication events and select an appropriate time range. Multiple source IPs can be legitimate because users may connect through VPNs, proxies, mobile networks, or different locations. Additional identity and endpoint evidence should be examined before treating the pattern as suspicious.<\/span><\/p>\n

                                      Question 339<\/b><\/h3>\n

                                      Which Microsoft Sentinel capability can provide a centralized interface for investigating and managing security incidents?<\/b><\/p>\n

                                        \n
                                      1. Incident management<\/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

                                        Microsoft Sentinel incident management provides the central workspace where analysts can review, investigate, and manage security incidents. Analysts can examine incident details, associated alerts and entities, severity, status, ownership, comments, and other available information. This helps organize the response process and track incidents through their lifecycle. Incident management works alongside analytics rules, automation rules, playbooks, and investigation tools. Analysts should ensure that incidents are properly triaged and documented so that important evidence and response decisions are preserved throughout the investigation.<\/span><\/p>\n

                                        Question 340<\/b><\/h3>\n

                                        Which KQL statement correctly identifies the highest number of events generated by any individual user?<\/b><\/p>\n

                                          \n
                                        1. summarize min(count()) by Username<\/span><\/li>\n
                                        2. summarize dcount(Username)<\/span><\/li>\n
                                        3. summarize count() by Username | summarize max(count_)<\/span><\/li>\n
                                        4. project Username | order by Username<\/span><\/li>\n<\/ol>\n

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

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

                                          The query first calculates event counts for each username with <\/span>summarize count() by Username<\/span>. A second aggregation using <\/span>max(count_)<\/span> then identifies the highest count among those user-level results. This two-stage aggregation is useful when an analyst needs the maximum activity value rather than the complete list of users and counts. Analysts should first filter the source dataset to the relevant event type and investigation period. A high event count can have legitimate causes, so the result should be treated as an investigative indicator rather than proof of malicious activity.<\/span><\/p>\n

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

                                          View Full Microsoft SC-200 Exam Dumps and Practice Test Dumps.   Question 321 Which Microsoft Sentinel capability can automatically assign an incident to an analyst based on predefined conditions? Watchlist Automation rule Workbook Content hub Correct Answer: 2 Explanation Microsoft Sentinel automation rules can perform incident-management actions when specified conditions are met. One supported use […]<\/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\/15806"}],"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=15806"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15806\/revisions"}],"predecessor-version":[{"id":15821,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15806\/revisions\/15821"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=15806"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=15806"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=15806"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}