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| Section | Objectives |
|---|---|
| Controls Orchestration | - Rule Creation and Management - Incident Investigation - Webhook Configuration - Risk Classification |
| Analytics and Dashboards | - Risk Analysis and Reporting - Enterprise Search - Dashboard Customization - Analytic Dashboards |
| Detector Configuration | - Regular Expression Detectors - Path Detectors - Detector Testing and Validation - Keyword Detectors |
| Compliance Hub and Data Register | - Departments Configuration - Data Asset Inventory - Metadata Management - Security Posture Policies |
| Pattern Matching and Classification | - Sensitive Data Identification - Regular Expressions - Classification Policies - Custom Pattern Creation |
| Preparing and Deploying Forcepoint DSPM | - Data Source Configuration - Lab Environment Preparation - User Management Configuration - DSPM Deployment Architecture |
| Data Discovery and Scanning | - LDAP Integration - Scan Configuration - SMB Data Sources - Data Visibility and Monitoring |
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質問 # 31
Anna created a complex GQL query that she plans on using weekly to filter the results and export the data for review. How can she store this query for repeated use?
正解：D
解説：
The correct answer is C . Forcepoint DSPM allows frequently used Enterprise Search filters to be saved as bookmarks, which is the appropriate method for Anna's weekly workflow. The documented Enterprise Search capability states that the page lets users access recently used filters, save frequently used filters as bookmarks, customize column headings, and generate meaningful reports. It also supports advanced filtering through GetVisibility Query Language , where a GQL query narrows scanned-file results to a focused, manageable subset for analysis and action.
Operationally, Anna would go to Enterprise Search , enter the complex GQL filter in the search/query field, execute or validate the filter, and then select the star icon to bookmark it. Forcepoint support documentation confirms that administrators can save complex GQL queries by using the star icon, creating a GQL bookmark, and providing an appropriate description.
The other options are incorrect because DSPM does not use an Excel import workflow to load reusable GQL filters from Analytics or Enterprise Search. Administration is also not the documented location for saving Enterprise Search GQL bookmarks. References/topics: Enterprise Search, GQL Filtering, Bookmarked Filters, Exporting Data, Reusable Search Workflows .
質問 # 32
Put the following steps in order for applying a filter to a widget of a duplicated dashboard:
正解：
解説：
Explanation:
1 # 3 # 4 # 2
The correct sequence is Select the Edit Widgets button , Open the Widget settings , Edit the GQL filter , and then Save the updated filter . In Forcepoint DSPM Analytics, a duplicated dashboard must first be placed into a widget-editable state before any individual widget configuration can be changed. Forcepoint describes dashboards as being built from panels and widgets , and identifies Edit Widgets as the control used to open the edit view for modifying widgets on a board. ( help.forcepoint.com ) After edit mode is active, the administrator opens the specific widget's settings because the filter is scoped to that widget rather than the whole dashboard. The GQL filter is then edited to constrain the widget's selected dataset, such as files, trustees, connectors, agents, database tables, or other analytics objects. This follows Forcepoint's dashboard model, where widgets present information from selected datasets and have their own customization options. ( help.forcepoint.com ) The final action is saving the updated filter so the duplicated dashboard preserves the modified widget logic. References/topics: Analytics, Dashboard Components, Edit Widgets, Widget Settings, GQL Filters, Custom/Duplicated Dashboards .
質問 # 33
What is the primary purpose of the Scan Status dashboard in Forcepoint DSPM?
正解：C
解説：
The correct answer is D. To monitor the progress of ongoing data scans . The Scan Status dashboard is used to track scan execution and understand where a scan is in the discovery and classification lifecycle.
Forcepoint's scan analytics documentation describes scan status views that show the current discovery-stage status, last status update, discovered-file count, and detailed scan analytics for a selected data-source configuration. It also explains that the Scan Progress tab shows the selected scan configuration, discovery- stage status, last discovered file time, scan start time, scan number, classification status, and classification timing.
This makes the dashboard operationally useful for administrators who need to verify that scans are running, determine whether discovery or classification is still in progress, and identify whether scan activity has stalled or produced errors. It is not intended to display encrypted files, track department membership, or monitor network traffic. Department-level visibility is handled through Compliance Hub and Data Asset Inventory workflows, while network activity monitoring is outside the scope of the Scan Status dashboard. References
/topics: Dashboard, Scan Status, Scan Analytics, Scan Progress, Discovery Status, Classification Status, Data Source Scanning .
質問 # 34
Which field is required when creating Departments in Forcepoint DSPM Compliance Hub?
正解：A
解説：
The correct answer is D. Head of Department . In Forcepoint DSPM Compliance Hub, Departments represent organisational business units such as HR, Finance, or Payment Processing. They are used to mirror the company's functional structure inside the governance workflow so that policies, data assets, ownership responsibilities, and review activities can be aligned to the correct business stakeholders. Forcepoint states that Departments are configured by defining company departments and assigning department representatives, with department heads or business-unit representatives acting as primary points of contact.
The documented workflow for adding a department is explicit: click Add new department , then enter the Department name , Head of Department , and Notify At email address, then save. This makes Head of Department the required field among the options listed. The field is important because department heads receive governance-related notifications and, when they log in, see only the Security Posture Policies and Data Asset Inventory assigned to their department.
The distractors belong to other workflows. Chief Reviewer is not the department-creation field. Group Name relates to user or group administration, not Compliance Hub department definition. GQL data mapping is used for identifying data assets within DSPM policy/data-mapping logic, not for creating a department.
References/topics: Compliance Hub, Departments, Department Representatives, Policy Center, Data Asset Inventory visibility .
質問 # 35
What is the first step in configuring the Data Register in Forcepoint DSPM?
正解：D
解説：
The first step in configuring the Data Register is Creating Security Posture Policies . In Forcepoint DSPM, the Data Register is the governance workspace where an organization defines and manages its most important data assets, commonly described as "crown jewels." Forcepoint's Data Register structure lists three main areas in order: Security Posture Policies , Data Asset Inventory , and Review Status , making Security Posture Policies the starting point for register configuration.
A Security Posture Policy creates the formal representation of a governed data asset. The documented workflow is to navigate to Policy Center > Data Register > Security Posture Policies , click Add new Security Posture Policy , and define required details such as Asset Name , Department , Data Owner , and Data Mapping using a GQL query.
The other choices are not the first Data Register configuration step. Pattern Matching belongs to detection and classification logic, not Data Register setup. Data Mapping is important, but it is configured under Compliance Hub as the framework for Data Asset Inventory metadata fields. Reviewing policies in the Data Asset Inventory occurs after policies and asset definitions exist. References/topics: Policy Center, Data Register, Security Posture Policies, Data Asset Inventory, Data Mapping, Data Ownership .
質問 # 36
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