{"id":15809,"date":"2026-09-18T09:43:34","date_gmt":"2026-09-18T09:43:34","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=15809"},"modified":"2026-09-18T09:43:34","modified_gmt":"2026-09-18T09:43:34","slug":"microsoft-sc-200-practice-test-questions-and-exam-dumps-part11-q201-220","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-sc-200-practice-test-questions-and-exam-dumps-part11-q201-220\/","title":{"rendered":"Microsoft SC-200 Practice Test Questions and Exam Dumps Part11 Q201-220"},"content":{"rendered":"<h1><\/h1>\n<h2><b>View Full <\/b><a href=\"https:\/\/www.examlabs.com\/sc-200-exam-dumps\"><b>Microsoft SC-200 Exam Dumps<\/b><\/a><b> and Practice Test Dumps.<\/b><\/h2>\n<p>&nbsp;<\/p>\n<h3><b>Question 201<\/b><\/h3>\n<p><b>Which Microsoft Sentinel capability can help an analyst investigate events from multiple sources by querying data with KQL?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Content hub<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workbook<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Log Analytics workspace<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Watchlist<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Microsoft Sentinel stores and analyzes collected security data through its underlying Log Analytics workspace. Analysts can use KQL to query tables containing events from connected Microsoft and third-party sources. This allows investigators to correlate information from different systems, filter relevant activity, and identify suspicious patterns. The available data depends on configured connectors and ingestion settings. Analysts should understand the relevant table schemas and use appropriate time ranges when querying. Reliable investigation depends on having complete and correctly configured data sources available in the workspace.<\/span><\/p>\n<h3><b>Question 202<\/b><\/h3>\n<p><b>Which Microsoft Defender XDR feature helps an analyst understand the vulnerabilities and security weaknesses associated with an endpoint?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vulnerability management<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Threat Explorer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Safe Links<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Live response<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Microsoft Defender Vulnerability Management provides information about vulnerabilities and weaknesses associated with supported devices and software. Security teams can use this information to identify exposed applications, prioritize remediation, and reduce opportunities that attackers could exploit. Vulnerability information can also support broader exposure-management activities by helping teams understand where weaknesses exist across the environment. Analysts should consider the severity of vulnerabilities, affected assets, available mitigations, and business importance when prioritizing remediation. Vulnerability data should be reviewed regularly because device software and threat conditions can change.<\/span><\/p>\n<h3><b>Question 203<\/b><\/h3>\n<p><b>Which KQL operator is commonly used to remove unwanted columns while keeping selected fields in the result?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">extend<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">project<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">summarize<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">join<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The KQL <\/span><span style=\"font-weight: 400;\">project<\/span><span style=\"font-weight: 400;\"> operator controls which columns appear in the returned dataset. Analysts can use it to remove unnecessary fields and keep only information relevant to an investigation. For example, a query may return the timestamp, account, device, source IP, and event type while excluding unrelated columns. This makes results easier to read and can simplify further analysis. Analysts should make sure that any fields required by later query operations remain available. <\/span><span style=\"font-weight: 400;\">project<\/span><span style=\"font-weight: 400;\"> is primarily concerned with columns, while operators such as <\/span><span style=\"font-weight: 400;\">where<\/span><span style=\"font-weight: 400;\"> filter rows.<\/span><\/p>\n<h3><b>Question 204<\/b><\/h3>\n<p><b>A security analyst wants to automatically notify the incident-response team whenever a high-severity Sentinel incident is created. Which combination is most appropriate?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Watchlist and workbook<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Content hub and data connector<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Analytics rule and watchlist<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automation rule and playbook<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">An automation rule can identify incidents that meet conditions such as high severity, while a playbook can execute an automated notification workflow. The playbook uses Azure Logic Apps to connect with supported messaging or notification services. This combination allows the organization to automate repetitive communication whenever qualifying incidents are created. The automation rule determines when the workflow should occur, while the playbook performs the configured action. Security teams should test the workflow, verify permissions, and ensure that notification recipients and incident information are handled appropriately.<\/span><\/p>\n<h3><b>Question 205<\/b><\/h3>\n<p><b>Which Microsoft Defender for Office 365 feature provides a searchable interface for investigating email threats and messages?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Safe Links<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Threat Explorer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Safe Attachments<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Secure Score<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Threat Explorer provides a searchable investigation interface for email-related security activity in Microsoft Defender for Office 365. Analysts can search and filter messages using available properties such as senders, recipients, subjects, URLs, attachments, and threat information. This can help determine the scope of a phishing campaign and identify users who received suspicious messages. Analysts can also use investigation results to support remediation and response activities. The exact information and investigation options available depend on the organization&#8217;s Microsoft 365 licensing, permissions, policies, and retained security data.<\/span><\/p>\n<h3><b>Question 206<\/b><\/h3>\n<p><b>Which KQL function is useful when an analyst needs the total number of records in a result set?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">count()<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">dcount()<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">avg()<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">max()<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The KQL <\/span><span style=\"font-weight: 400;\">count()<\/span><span style=\"font-weight: 400;\"> aggregation function returns the number of records in a dataset or group. Analysts frequently use it with <\/span><span style=\"font-weight: 400;\">summarize<\/span><span style=\"font-weight: 400;\"> to measure the number of security events matching particular criteria. For example, an analyst can count failed authentication events or count activity associated with each device. <\/span><span style=\"font-weight: 400;\">count()<\/span><span style=\"font-weight: 400;\"> differs from <\/span><span style=\"font-weight: 400;\">dcount()<\/span><span style=\"font-weight: 400;\">, which calculates an approximate distinct count of values. Analysts should apply appropriate filters and time ranges before counting records so that the result represents the specific activity being investigated.<\/span><\/p>\n<h3><b>Question 207<\/b><\/h3>\n<p><b>Which Microsoft Sentinel capability allows an analyst to store frequently used investigation values outside the main query logic?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Analytics rule<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Watchlist<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Playbook<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workbook<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A Microsoft Sentinel watchlist can store reusable reference information that analysts can access during investigations and detection activities. Examples include known IP addresses, domains, usernames, asset identifiers, or other organization-specific values. Storing these values separately from query logic makes it easier to maintain lists that change over time. Analysts can reference watchlist data in KQL queries rather than manually updating the same values in multiple queries. The watchlist should be reviewed periodically to remove outdated entries and ensure that stored values remain accurate.<\/span><\/p>\n<h3><b>Question 208<\/b><\/h3>\n<p><b>Which Microsoft Defender for Endpoint capability can help identify suspicious processes, files, and network connections associated with a device?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Secure Score<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Device timeline<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Threat analytics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Attack simulation training<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The Microsoft Defender for Endpoint device timeline provides chronological information about activities associated with a device. Analysts can review processes, files, network connections, logons, and other available events to understand what occurred around a security alert. This can help identify relationships between seemingly separate events and reconstruct an endpoint attack sequence. Analysts should examine events before and after the suspicious activity rather than focusing on a single record. Timeline information should also be correlated with alert details, user context, file indicators, and other available telemetry.<\/span><\/p>\n<h3><b>Question 209<\/b><\/h3>\n<p><b>Which Microsoft Sentinel feature is used to create visual dashboards from security data?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workbook<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Playbook<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Analytics rule<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automation rule<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Microsoft Sentinel workbooks provide interactive dashboards and visualizations based on available security data. Analysts can use them to display incident trends, authentication activity, threat information, and other metrics through charts, tables, and other visual components. Workbooks are useful for monitoring and reporting but are not primarily detection mechanisms. Their visualizations depend on the underlying data being available and correctly queried. Organizations can use built-in templates or customize workbooks to meet operational requirements and present security information in a way that is easier for analysts and managers to interpret.<\/span><\/p>\n<h3><b>Question 210<\/b><\/h3>\n<p><b>An analyst wants to identify the most common source IP addresses in a set of authentication events. Which KQL approach is appropriate?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use <\/span><span style=\"font-weight: 400;\">extend<\/span><span style=\"font-weight: 400;\"> only<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use <\/span><span style=\"font-weight: 400;\">project<\/span><span style=\"font-weight: 400;\"> without aggregation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use <\/span><span style=\"font-weight: 400;\">summarize count()<\/span><span style=\"font-weight: 400;\"> by source IP and sort the results<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use <\/span><span style=\"font-weight: 400;\">join<\/span><span style=\"font-weight: 400;\"> without a matching field<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The analyst can use <\/span><span style=\"font-weight: 400;\">summarize count()<\/span><span style=\"font-weight: 400;\"> grouped by source IP to determine how frequently each address appears in the selected authentication events. Applying <\/span><span style=\"font-weight: 400;\">order by<\/span><span style=\"font-weight: 400;\"> afterward can arrange the results from the highest count to the lowest. This approach helps identify source addresses associated with large amounts of authentication activity. Analysts should first filter the dataset to the appropriate event type and time period. A frequently observed IP address is not automatically malicious because corporate gateways, VPNs, proxies, and shared infrastructure can legitimately generate large numbers of authentication events.<\/span><\/p>\n<h3><b>Question 211<\/b><\/h3>\n<p><b>Which Microsoft Defender XDR capability can help investigate whether a suspicious file hash is present across multiple devices?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Secure Score<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced hunting<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Threat analytics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Device discovery<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Advanced hunting allows analysts to search supported Defender security telemetry using KQL. When investigating a suspicious file hash, an analyst can query relevant file and device tables to identify systems where the indicator was observed. Results can provide timestamps, device names, processes, users, and other contextual information depending on the available telemetry. This helps determine the scope of a potential incident. Analysts should investigate the surrounding activity for each match because the presence of a file hash alone does not necessarily establish malicious execution or compromise.<\/span><\/p>\n<h3><b>Question 212<\/b><\/h3>\n<p><b>Which Microsoft Sentinel capability can change an incident&#8217;s status automatically according to predefined conditions?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workbook<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data connector<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automation rule<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Watchlist<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Microsoft Sentinel automation rules can perform actions on incidents when configured conditions are satisfied. One supported action is changing an incident&#8217;s status, such as moving it through an organization&#8217;s defined workflow. Automation can help standardize repetitive case-management tasks and reduce manual administrative effort. Conditions should be carefully scoped so that only the intended incidents are affected. Security teams should review automated status changes regularly because incorrectly configured rules could cause incidents to be closed, assigned, or otherwise modified when analyst attention is still required.<\/span><\/p>\n<h3><b>Question 213<\/b><\/h3>\n<p><b>Which Microsoft Defender for Identity capability is designed to help detect suspicious activity involving on-premises identities?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Defender for Identity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Safe Links<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Device isolation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Threat Explorer<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Microsoft Defender for Identity focuses on detecting and investigating identity-related threats involving supported on-premises Active Directory environments. It can identify suspicious activities such as reconnaissance, credential attacks, and lateral movement-related behaviors. Analysts can use its alerts and investigation information to understand potentially compromised identities and associated activities. Identity evidence is often more useful when correlated with endpoint and authentication telemetry because attackers may use compromised accounts across multiple systems. Analysts should review timestamps, accounts, source systems, and related alerts when investigating suspicious identity activity.<\/span><\/p>\n<h3><b>Question 214<\/b><\/h3>\n<p><b>Which KQL operator can be used to combine records from two tables using a common field such as a device identifier?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">where<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">join<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">project<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">distinct<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The KQL <\/span><span style=\"font-weight: 400;\">join<\/span><span style=\"font-weight: 400;\"> operator combines records from two tables using a specified matching field or expression. An analyst may use it when information required for an investigation is distributed across different datasets. For example, a device identifier can be used to associate records from two related security tables. The selected join type affects how matching and unmatched records are handled. Analysts should ensure that the join field is appropriate and that both datasets contain compatible values. Poorly designed joins can produce incomplete results or unnecessarily large query outputs.<\/span><\/p>\n<h3><b>Question 215<\/b><\/h3>\n<p><b>Which Microsoft Defender for Endpoint capability can help an analyst remotely investigate a running endpoint without physically accessing the device?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Live response<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Secure Score<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Exposure management<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Device discovery<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Live response provides authorized analysts with remote command-line access to supported Defender for Endpoint devices. It can be used to inspect files, processes, system information, and other artifacts and to perform certain supported response actions. This is useful when an endpoint is suspected of compromise and immediate investigation is required. Because live response can potentially modify the system, analysts should use it according to established incident-response procedures. Commands and response actions should be documented so that investigators maintain a clear record of activity performed on the affected device.<\/span><\/p>\n<h3><b>Question 216<\/b><\/h3>\n<p><b>Which Microsoft Defender for Cloud capability focuses on identifying and improving security posture issues in cloud environments?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Workload Protection<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Threat Explorer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Security Posture Management<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Safe Attachments<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Security Posture Management, or CSPM, focuses on identifying security posture weaknesses in cloud environments. It can provide recommendations related to configurations, security controls, compliance, and other conditions that may increase exposure. Security teams can use these findings to prioritize improvements and reduce potential attack paths. CSPM differs from workload protection because its primary focus is posture and configuration rather than direct protection of individual workloads. Organizations should evaluate recommendations according to asset importance, business requirements, and the potential impact of making the proposed configuration changes.<\/span><\/p>\n<h3><b>Question 217<\/b><\/h3>\n<p><b>Which KQL operator is appropriate for filtering events where the event type equals a specified value?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">summarize<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">where<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">project<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">extend<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The KQL <\/span><span style=\"font-weight: 400;\">where<\/span><span style=\"font-weight: 400;\"> operator filters records according to a specified condition. For example, an analyst can use it to return only events where an event-type field equals a particular value. Filtering is fundamental to security investigations because it reduces large datasets to records relevant to the current hypothesis. Analysts can combine multiple conditions using logical operators such as <\/span><span style=\"font-weight: 400;\">and<\/span><span style=\"font-weight: 400;\"> and <\/span><span style=\"font-weight: 400;\">or<\/span><span style=\"font-weight: 400;\">. Careful filtering helps reduce unnecessary results, but analysts should verify field names and values to ensure that the query does not accidentally exclude important security events.<\/span><\/p>\n<h3><b>Question 218<\/b><\/h3>\n<p><b>Which Microsoft Sentinel capability can execute an automated workflow that creates a ticket in a supported service-management platform?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workbook<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Watchlist<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Playbook<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Content hub<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A Microsoft Sentinel playbook can use Azure Logic Apps and supported connectors to automate interactions with external systems. One example is creating a ticket in a service-management platform when an incident meets defined criteria. This can reduce repetitive manual work and ensure that important incidents are routed into established operational workflows. Administrators should configure the required permissions and connectors securely and test the workflow before production deployment. They should also verify that ticket information contains enough incident context for responders while avoiding unnecessary exposure of sensitive security data.<\/span><\/p>\n<h3><b>Question 219<\/b><\/h3>\n<p><b>Which Microsoft Defender for Office 365 capability can be used to conduct controlled phishing simulations for security awareness?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Threat Explorer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Attack simulation training<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Safe Links<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Safe Attachments<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Attack simulation training provides capabilities for conducting controlled simulations of phishing and other supported social engineering scenarios. Security teams can use simulations to evaluate user awareness and provide targeted training based on observed behavior. The simulations are intended to reproduce realistic scenarios in a controlled environment rather than deliver actual malicious attacks. Organizations should establish appropriate policies and communication procedures before running simulations. Results can help security teams identify areas where additional awareness training may be useful and can be considered alongside other security controls.<\/span><\/p>\n<h3><b>Question 220<\/b><\/h3>\n<p><b>An analyst wants to find users with more than 20 failed sign-in events and display the results by highest count. Which KQL approach is most appropriate?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use <\/span><span style=\"font-weight: 400;\">project<\/span><span style=\"font-weight: 400;\"> to list all fields<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use <\/span><span style=\"font-weight: 400;\">extend<\/span><span style=\"font-weight: 400;\"> without aggregation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use <\/span><span style=\"font-weight: 400;\">where<\/span><span style=\"font-weight: 400;\"> without <\/span><span style=\"font-weight: 400;\">summarize<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use <\/span><span style=\"font-weight: 400;\">summarize count()<\/span><span style=\"font-weight: 400;\"> by user, filter the count, and use <\/span><span style=\"font-weight: 400;\">order by<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The analyst should first aggregate failed sign-in events with <\/span><span style=\"font-weight: 400;\">summarize count()<\/span><span style=\"font-weight: 400;\"> grouped by user. The resulting count can then be filtered to retain users with more than 20 failures, and <\/span><span style=\"font-weight: 400;\">order by<\/span><span style=\"font-weight: 400;\"> can sort the results by count. This approach converts individual authentication events into a useful account-level summary. Analysts should select an appropriate time range and event filter before aggregation. More than 20 failures may have legitimate causes, such as outdated credentials or application issues, so additional investigation is necessary before classifying an account as compromised.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>View Full Microsoft SC-200 Exam Dumps and Practice Test Dumps. &nbsp; Question 201 Which Microsoft Sentinel capability can help an analyst investigate events from multiple sources by querying data with KQL? Content hub Workbook Log Analytics workspace Watchlist Correct Answer: 3 Explanation Microsoft Sentinel stores and analyzes collected security data through its underlying Log Analytics [&hellip;]<\/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\/15809"}],"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=15809"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15809\/revisions"}],"predecessor-version":[{"id":15827,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15809\/revisions\/15827"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=15809"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=15809"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=15809"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}