View Full Microsoft SC-200 Exam Dumps and Practice Test Dumps.

 

Question 1

Which Microsoft security solution is primarily used as a SIEM platform for collecting, analyzing, and correlating security data from multiple sources?

1. Microsoft Sentinel
2. Microsoft Defender for Endpoint
3. Microsoft Intune
4. Microsoft Purview

Correct Answer: 1

Explanation

Microsoft Sentinel is Microsoft’s cloud-native SIEM platform. It can collect security data from Microsoft services, third-party solutions, applications, infrastructure, and other sources. Security operations teams can use Sentinel to create analytics rules, investigate incidents, perform threat hunting with KQL, build workbooks, and automate responses. Sentinel can also integrate with Microsoft Defender XDR to provide broader visibility across security signals. Security analysts should configure appropriate data connectors and detection rules so that the Sentinel workspace receives the information required for monitoring, investigation, and response.

Question 2

An organization wants to investigate suspicious activity across endpoints, identities, email, and cloud applications from one security platform. Which solution should the security operations analyst use?

1. Microsoft Purview
2. Microsoft Defender XDR
3. Microsoft Intune
4. Microsoft Entra Connect

Correct Answer: 2

Explanation

Microsoft Defender XDR correlates security signals across multiple Microsoft security products, helping analysts investigate attacks that span different security domains. It can provide visibility into incidents involving endpoints, identities, email, and other supported workloads. Correlation can help analysts understand relationships between alerts and entities rather than investigating every alert independently. This is especially useful for multi-stage attacks where activity begins in one workload and later affects another. Security analysts can use the incident view, evidence, entities, and investigation capabilities to understand the attack and coordinate appropriate remediation actions.

Question 3

Which query language is primarily used for advanced threat hunting in Microsoft Defender XDR and Microsoft Sentinel?

1. SQL
2. PowerShell
3. Kusto Query Language (KQL)
4. JavaScript

Correct Answer: 3

Explanation

Kusto Query Language, commonly called KQL, is used to query and analyze security data in Microsoft security solutions such as Microsoft Sentinel and Microsoft Defender XDR. Security analysts can use KQL to search tables, filter events, summarize activity, identify suspicious patterns, and investigate potential threats. KQL is particularly important for advanced hunting because analysts often need to create precise queries instead of relying only on predefined detections. Understanding tables, fields, operators, joins, and aggregation functions helps analysts create effective queries for investigation and threat hunting.

Question 4

Which Microsoft Defender for Endpoint capability allows an analyst to inspect events and activities that occurred on a specific device?

1. Device timeline
2. Secure Score
3. Compliance Manager
4. Service Health

Correct Answer: 1

Explanation

The device timeline in Microsoft Defender for Endpoint provides a chronological view of activities associated with a device. Analysts can use it to investigate processes, files, network connections, logons, and other relevant events. This timeline is particularly useful when investigating a potentially compromised endpoint because it helps establish what happened before, during, and after suspicious activity. By reviewing the sequence of events, an analyst can identify potentially malicious processes or connections and determine additional entities that require investigation. Device timelines therefore support both incident investigation and threat hunting.

Question 5

Which Microsoft Sentinel feature can automatically execute a workflow when a specified security condition occurs?

1. Workbook
2. Playbook
3. Watchlist
4. Data connector

Correct Answer: 2

Explanation

A Microsoft Sentinel playbook uses Azure Logic Apps to automate response and orchestration tasks. A playbook can perform actions after an alert or incident triggers an automation workflow. Examples include sending notifications, enriching an incident with additional information, creating tickets, or performing supported response actions through connected services. Playbooks are useful for reducing repetitive manual work and improving response consistency. Automation should be designed carefully because an incorrectly configured workflow can perform unwanted actions. Analysts should test playbooks and ensure that permissions and triggers are configured appropriately.

Question 6

A security analyst needs to automatically modify the status, owner, or tags of Microsoft Sentinel incidents when specific conditions are met. What should the analyst configure?

1. Automation rule
2. Workbook
3. Threat intelligence indicator
4. Data collection rule

Correct Answer: 1

Explanation

Microsoft Sentinel automation rules can automatically perform actions on incidents when specified conditions are met. They can help standardize incident handling by assigning owners, changing statuses, adding tags, or triggering other supported actions. Automation rules are different from playbooks: automation rules provide Sentinel-specific incident automation logic, while playbooks provide broader workflow capabilities through Azure Logic Apps. Using automation rules can reduce repetitive analyst tasks and help ensure consistent incident management. Conditions should be specific enough to avoid applying actions to unrelated incidents.

Question 7

Which Microsoft Sentinel component provides graphical dashboards for visualizing security data and trends?

1. Analytics rules
2. Workbooks
3. Playbooks
4. Hunting queries

Correct Answer: 2

Explanation

Microsoft Sentinel workbooks provide interactive visualizations of security data. They can display charts, graphs, tables, and other visual elements that help analysts monitor activity and identify trends. Workbooks can be based on queries against data stored in the Sentinel environment and can be customized for different operational requirements. For example, a security operations team can create a workbook showing incident trends, authentication activity, or data-source health. Workbooks are primarily used for visualization and monitoring, while analytics rules are designed to detect conditions that may generate alerts or incidents.

Question 8

Which Microsoft Sentinel capability is used to connect an external security or data source so that its information can be ingested into Sentinel?

1. Data connector
2. Workbook
3. Incident queue
4. Hunting graph

Correct Answer: 1

Explanation

Data connectors provide a mechanism for bringing data from supported sources into Microsoft Sentinel. Depending on the connector, data may come from Microsoft services, cloud platforms, network devices, applications, or third-party security products. Selecting the appropriate connector is an important part of building a useful SIEM environment because detection and investigation depend on having relevant data available. Analysts should verify that the connector is configured correctly and that expected events are actually arriving. Data collection requirements, permissions, and supported ingestion methods should also be reviewed.

Question 9

An analyst wants to create a detection that runs on a recurring schedule and generates an alert when suspicious activity is found. Which Microsoft Sentinel feature is appropriate?

1. Analytics rule
2. Workbook
3. Watchlist
4. Content hub

Correct Answer: 1

Explanation

Microsoft Sentinel analytics rules can evaluate collected data and detect conditions associated with potential security threats. Scheduled analytics rules run according to a defined schedule and use queries to identify matching activity. When configured appropriately, a rule can generate alerts and contribute to incident creation. Analysts should select suitable query logic, frequency, lookback periods, and entity mappings to improve detection quality. Excessively broad rules can generate unnecessary alerts, while overly restrictive rules may miss relevant activity. Detection tuning is therefore important for maintaining an effective security operations environment.

Question 10

Which Microsoft Sentinel rule type is designed to detect threats with very low latency by continuously evaluating incoming data?

1. Scheduled rule
2. Near-real-time (NRT) rule
3. Threat intelligence rule
4. Workbook rule

Correct Answer: 2

Explanation

Near-real-time analytics rules in Microsoft Sentinel are designed to detect certain conditions with very low latency as relevant data arrives. They can be useful for scenarios where security teams need rapid detection rather than waiting for a traditional scheduled query cycle. NRT rules have specific capabilities and limitations, so analysts should select them only when the detection scenario is appropriate. The query and data source should be designed to support the desired detection behavior. Combining NRT detections with other analytics rules can provide broader coverage across different threat scenarios.

Question 11

A security analyst receives several alerts that are related to the same attack. What Microsoft Defender XDR feature can correlate these alerts into a broader security incident?

1. Incident correlation
2. Device isolation
3. Secure Score
4. Attack surface reduction

Correct Answer: 1

Explanation

Microsoft Defender XDR can correlate related security alerts into incidents, helping analysts investigate an attack as a connected sequence rather than as unrelated individual events. Correlation can combine signals from different Microsoft security products and provide associated entities and evidence. This is especially useful for complex attacks involving multiple users, devices, applications, or stages. Analysts should review the incident carefully because automated correlation does not eliminate the need for investigation. Understanding the relationships between alerts can help determine the attack scope and guide containment and remediation decisions.

Question 12

Which Microsoft Defender for Endpoint action can provide an analyst with an interactive command-line capability on a supported device for investigation?

1. Live response
2. Device discovery
3. Exposure management
4. Security recommendations

Correct Answer: 1

Explanation

Live response provides security analysts with an interactive capability for performing investigation and response activities on supported endpoints. An analyst can use it to execute supported commands, inspect files and processes, and collect information needed to understand suspicious activity. Live response is particularly valuable when a device requires deeper investigation than ordinary alert information provides. Access should be restricted to authorized personnel because commands performed during live response can affect the endpoint. Analysts should document actions and follow organizational procedures when using interactive response capabilities.

Question 13

An organization wants to reduce the risk of malicious Office applications launching potentially dangerous child processes. Which Microsoft Defender for Endpoint control should the analyst investigate?

1. Attack Surface Reduction rules
2. Device discovery
3. Threat intelligence indicators
4. Microsoft Sentinel workbooks

Correct Answer: 1

Explanation

Attack Surface Reduction, or ASR, rules in Microsoft Defender for Endpoint help reduce common attack techniques by restricting behaviors that are frequently abused by attackers. Certain ASR rules can limit actions involving Office applications and other potentially risky behaviors. Security teams can configure ASR rules according to organizational requirements and gradually tune them to reduce unwanted impact on legitimate applications. Analysts should evaluate the rule’s intended behavior, deployment mode, exclusions, and potential business impact before enabling enforcement broadly. Monitoring and testing help identify compatibility issues.

Question 14

Which Microsoft security solution can help investigate threats involving sensitive data, insider risk, and Microsoft 365 compliance activity?

1. Microsoft Purview
2. Microsoft Defender for Endpoint
3. Microsoft Intune
4. Microsoft Entra Connect

Correct Answer: 1

Explanation

Microsoft Purview provides security, compliance, data governance, and risk capabilities that can support security investigations involving sensitive information and user activity. Security operations analysts may use Purview capabilities to investigate activities associated with data protection, insider risk, auditing, and eDiscovery scenarios. The information available depends on the configured Microsoft 365 services and permissions. Purview complements Microsoft Defender solutions rather than replacing them. Analysts should understand which service generated an event and use the appropriate investigation capability when examining suspicious Microsoft 365 activities.

Question 15

A security analyst wants to investigate authentication-related activity involving Microsoft Entra identities. Which data source can provide relevant identity activity for investigation?

1. Microsoft Entra ID logs
2. Microsoft Defender Antivirus signatures
3. Microsoft Intune compliance policies
4. Microsoft Defender Firewall rules

Correct Answer: 1

Explanation

Microsoft Entra ID logs provide information about identity-related activity, including authentication and other directory events that can be relevant during security investigations. Analysts can use these logs to identify suspicious sign-ins, unusual authentication patterns, and other indicators involving user identities. When investigating compromised accounts, identity activity should be correlated with endpoint, email, and other security signals where available. Analysts should also consider factors such as location, device information, authentication method, and timing. Proper log configuration and retention are important for maintaining useful investigation data.

Question 16

Which KQL operator is commonly used to filter records based on a condition?

1. summarize
2. project
3. where
4. join

Correct Answer: 3

Explanation

The where operator in KQL filters records according to a specified condition. For example, an analyst can use it to return only events from a particular account, device, IP address, or time period. Filtering early in a query can make investigation results more focused and easier to analyze. Other KQL operators have different purposes: project selects columns, summarize aggregates data, and join combines related datasets. Understanding these operators allows analysts to construct effective queries for Microsoft Sentinel and Microsoft Defender hunting activities.

Question 17

Which KQL operator is useful when an analyst needs to calculate counts or other aggregated values from a dataset?

1. summarize
2. where
3. project
4. extend

Correct Answer: 1

Explanation

The summarize operator is used in KQL to aggregate records and calculate values such as counts, minimums, maximums, averages, or other supported aggregations. For example, an analyst can use summarize to determine how many authentication events occurred for each user or how many connections came from each IP address. Aggregation is especially useful during threat hunting because it can reveal unusual volumes or patterns that are difficult to notice in raw event data. Analysts often combine where, summarize, and other operators to refine investigations.

Question 18

A security analyst wants to investigate relationships between entities involved in a complex attack. Which capability can help visualize those relationships in Microsoft Defender XDR?

1. Hunting graphs
2. Secure Score
3. Device compliance
4. Data connectors

Correct Answer: 1

Explanation

Hunting graphs can help analysts visualize relationships between entities involved in an investigation. These relationships may connect users, devices, processes, files, domains, or other relevant entities depending on the available data. Visualizing relationships can be particularly useful when investigating complex or multi-stage attacks because it can reveal connections that are difficult to understand from isolated records. Analysts should use graph information together with alerts, timelines, evidence, and KQL queries. A graph is an investigation aid and should be interpreted within the broader context of the available security evidence.

Question 19

An analyst needs to investigate a potentially compromised endpoint and collect additional information for forensic analysis. Which Microsoft Defender for Endpoint capability is relevant?

1. Collect investigation package
2. Create a workbook
3. Configure a watchlist
4. Create a Sentinel data connector

Correct Answer: 1

Explanation

Microsoft Defender for Endpoint provides investigation capabilities that can help analysts collect information from a device during incident response. An investigation package can contain relevant diagnostic and security information that assists analysts in understanding what occurred on the endpoint. This capability can be useful when alert details alone are insufficient and additional evidence is needed. Analysts should collect information according to organizational procedures and consider the privacy and operational implications of investigative actions. Investigation packages complement other capabilities such as device timelines and live response during endpoint investigations.

Question 20

Which Microsoft Sentinel feature allows analysts to perform proactive searches for suspicious activity without waiting for an alert to be generated?

1. Threat hunting
2. Incident assignment
3. Automation rule
4. Workbook

Correct Answer: 1

Explanation

Threat hunting allows security analysts to proactively search security data for suspicious activity, patterns, and indicators that may not have triggered existing detections. In Microsoft Sentinel, analysts can use KQL hunting queries to investigate data and search for potential threats. Hunting can uncover previously unknown activity and can also help validate whether detection rules provide sufficient coverage. Analysts may turn useful hunting discoveries into new analytics rules or other detections. Effective hunting requires knowledge of available data sources, relevant tables, attacker behaviors, and appropriate query techniques.