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| Section | Objectives |
|---|---|
| Forcepoint DSPM Architecture and Overview | - Deployment models (cloud / standalone) - DSPM system components and platform overview |
| Administration and User Management | - User federation and Active Directory integration - Role-based access control (RBAC) - User synchronization and management |
| Deployment and Installation | - Initial setup and configuration - System requirements and prerequisites - Standalone DSPM deployment workflow |
| Data Classification and Detection | - Detectors and detector groups - Taxonomy and labeling mechanisms - Pattern matching and classification models |
| Monitoring, Analytics, and Reporting | - Data lineage and compliance monitoring - Dashboards and analytics widgets - Scan progress and risk visibility |
| Data Sources and Integration | - Streaming and event integration - SIEM and external integrations - Configuring data sources - Database discovery and structured data scanning |
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NEW QUESTION # 14
Which of the following are actions that can be performed from the Enterprise Search page? Select three.
Answer: B,D,E
Explanation:
The correct selections are Revoking user permissions , Exporting reports , and Manually verifying ML classification . The Enterprise Search page is the primary file-level investigation view in Forcepoint DSPM.
It lists scanned and cataloged files, allows filtering through standard filters or GQL, and provides operational actions against the returned results. Forcepoint states that Enterprise Search allows users to filter file data, save frequently used filters, customize columns, and generate meaningful reports. It also provides an EXPORT button that creates a CSV or JSON download of the filtered data.
Revoking permissions is also supported as a data-governance action. Forcepoint documents that administrators can view or modify file permissions and access rights from the file Actions menu, and supporting documentation identifies required permissions for revoke operations in Microsoft repositories.
Manual classification validation is explicitly available from the Enterprise Search hamburger menu.
Forcepoint states that to adjust a file's machine-learning classification, the user selects Manually verify classification , modifies the ML-suggested classification, and saves the change.
The incorrect choices are outside this specific Enterprise Search action set. Moving risky files to a private folder is not the standard named Enterprise Search action in this workflow, and assigned risk is not manually changed from the page. References/topics: Enterprise Search, Exporting Data, Permissions & Access Rights, Manual ML Classification Verification .
NEW QUESTION # 15
What are the key organizational elements for creating a dashboard in Forcepoint DSPM? Select two.
Answer: B,D
Explanation:
The correct answers are Widgets and Panels . In Forcepoint DSPM Analytics, dashboards are organized as boards that present scan-derived security, compliance, and data-risk information. The primary structural components used to build those dashboards are panels and widgets. Forcepoint states that dashboards are
"primarily constructed of panels and widgets," and explains that each panel can contain one or more widgets.
A panel acts as the container that organizes multiple visual components into a coherent dashboard layout, while a widget is the smaller information component that displays data from selected datasets such as files, trustees, connectors, or agents.
This structure matters because dashboards are not just static reports; they are configurable analytical workspaces. Widgets provide the actual data presentation, such as counters, charts, maps, text blocks, tables, incidents, dual data grouping, or multi-counter views. Forcepoint separately lists these as available widget types, each with its own customization options. Panels then provide the organizational layer that groups these widgets logically by use case, such as exposure, classification, incident review, user risk, or compliance posture. Toggle switches, menus, and status bars may appear in the interface, but they are not the dashboard- building elements. References/topics: Analytics, Components of a Dashboard, Widgets, Panels, Custom Dashboards .
NEW QUESTION # 16
Which statement best describes what happens when a detector group is selected while creating a content detector?
Answer: D
Explanation:
The correct answer is B . In Forcepoint DSPM, content detectors analyze file contents using configured search logic such as keywords, phrases, positive and negative terms, or regular expressions. During detector creation, administrators can associate the detector with a detector group. Forcepoint states that when a detector group is selected, the detector becomes part of the AI Mesh and contributes to classification results. If the administrator does not want the detector to influence classification, a non-AI Mesh detector group should be selected instead.
This is important because detector grouping controls whether detector hits are merely informational or actively influence classification decisions. A payroll detector, for example, may search for terms such as salary, payslip, compensation, or payroll. If tied into the AI Mesh, those hits can help classify files as sensitive or confidential. The other options misrepresent detector behavior. Detectors do not automatically revoke permissions, convert keywords directly into taxonomy labels, or disappear from scan results when grouped. References/topics: Administration > Detectors, Content Detectors, Detector Groups, AI Mesh, Classification Results, Contain/Not Contain Logic .
NEW QUESTION # 17
What is the primary purpose of the Scan Status dashboard in Forcepoint DSPM?
Answer: A
Explanation:
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 .
NEW QUESTION # 18
Provide the matching definitions for these Forcepoint DSPM Controls Orchestration terms:
Answer:
Explanation:
Explanation:
Workflow Configuration Tool # Allows the creation of GQL syntax rules with conditions for organizational files and users.
Rule-Based Automation # Establish criteria to identify data policy violations, data handling irregularities, and other anomalies.
Notification System # Triggered rules can be configured to generate alerts and send them to webhooks to ensure prompt action.
Incident Management # Review events and manage rules through cards.
Controls Orchestration in Forcepoint DSPM is the policy automation layer used to convert data-risk criteria into reviewable operational events. The Workflow Configuration Tool is represented by the rule-building interface under Policy Center > Controls Orchestration , where administrators define datasets, ownership, rule conditions, and GQL logic for organizational files, trustees, or agent activities. Forcepoint states that rules are created to identify data matching specific criteria and are applied during scans of the selected dataset.
Rule-Based Automation describes the criteria-driven detection model. Administrators establish rules that identify policy violations, data-handling irregularities, or other anomalies that require attention. Notification System maps to the ability to configure triggered rules to send external notifications, including webhook- based alerts, when matching data is detected. Incident Management maps to the Incidents workflow:
Forcepoint states that each rule is automatically added as a card in the Incidents tab, and selecting the card takes the user back to the associated rule. References/topics: Policy Center, Controls Orchestration, GQL Conditions, Notifications, Webhooks, Incidents .
NEW QUESTION # 19
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