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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration and Configuration | 20% | - Controls orchestration - User and role management - Policy creation and enforcement - System settings and maintenance |
| Topic 2: Monitoring, Analytics, and Reporting | 10% | - Dashboard creation and customization - Alert configuration and monitoring - Analytics and data visualization - Compliance reporting and audit logs |
| Topic 3: Troubleshooting and Maintenance | 10% | - System health monitoring - Backup and recovery procedures - Upgrade and patch management - Log analysis and error resolution |
| Topic 4: Access Governance and Risk Management | 15% | - Access review and entitlement analysis - Risk scoring and prioritization - Data access governance policies - Incident handling and remediation |
| Topic 5: Data Discovery and Classification | 25% | - Data register and sensitive data mapping - Compliance framework alignment - Scanner and detector configuration - Pattern matching and classification rules |
| Topic 6: DSPM Architecture and Deployment | 20% | - Integration with cloud and on-prem environments - Architecture overview and components - Installation and configuration - Deployment planning and requirements |
>> Sample DSPM-Deploy-and-Administer Questions <<
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NEW QUESTION # 37
How are data owners defined in Forcepoint DSPM?
Answer: B
Explanation:
In Forcepoint DSPM, data ownership is treated as an explicit governance assignment tied to the organisation's data asset inventory and data sources, not as a passive attribute inferred only from file metadata or imported directory fields. The closest correct option is C , because ownership is assigned at the data storage/data source or data asset level so that accountability, alert routing, review responsibility, and remediation workflows have a clearly identified business owner.
Forcepoint documentation describes the Data Asset Inventory workflow as requiring organisations to "assign an owner" for each asset and states that DSPM can "assign specific data owners to each data source." This aligns with DSPM's governance model: the owner is the accountable stakeholder for the data asset, not merely the technical file creator or last modifier. Release notes also describe a Data Owner column on the Data Assets page, where ownership may be automatically selected based on department owner and manually changed by the user.
Therefore, A is incorrect because policies define controls and requirements, not the owner itself. B is too narrow because imported user properties support identity context but do not alone define data ownership. D is incorrect because file owner metadata is not the authoritative ownership model for DSPM governance.
References/topics: Data Register, Data Asset Inventory, Data Ownership, Controls Orchestration, Access Governance .
NEW QUESTION # 38
What is the role of the File Audit Log in Forcepoint DSPM?
Answer: B
Explanation:
The correct answer is D. To display the status of data scanning and any errors . In Forcepoint DSPM, the File Audit Log is tied to scan processing and file-level scan events. Forcepoint's GQL reference defines the File Audit Log as "events associated with scanning of files," and lists fields such as source , eventType , functionalityName , moduleName , createdAt , message , path , fileId , scanId , and configurationId .
Those fields are designed to explain what happened to a file during the scan/classification process, including the relevant scan, module, event, and message detail.
This aligns with the scan analytics workflow. Forcepoint documents that when files are not classified, the interface can show the event indicating the classification failure, the file path, and the reason for the failure. It then allows the user to view the file audit log filtered by not-classified events, scan, and reason.
The other options describe different DSPM views. File access permissions are handled through access governance, discovered-file totals appear in scan analytics summaries, and last access information is a separate file activity or metadata concept. References/topics: Scan Analytics, File Audit Log, GQL File Audit Log Dataset, Scan Events, Classification Errors .
NEW QUESTION # 39
Isla wants to create a customized dashboard for the Finance department. Put the following steps in the correct order:
Answer:
Explanation:
Explanation:
4 # 2 # 6 # 5 # 3 # 1
The correct sequence begins with Create new board because a customized dashboard must first be instantiated before any department-specific design or filtering can be applied. Forcepoint's custom dashboard workflow starts in Analytics , where the administrator clicks +NEW BOARD . In the creation dialog, the administrator enters the dashboard Name , Group , and Description , then selects a template and chooses the dashboard layout. This maps directly to steps 4, 2, and 6 .
After the board exists, Isla can structure the dashboard. Forcepoint explains that dashboards are primarily built from panels and widgets : a panel is the organizational container, while widgets display information from selected datasets such as files, trustees, connectors, agents, database objects, or activities. Therefore, panels should be added before widgets so the dashboard has a clean layout framework for Finance-specific metrics.
The final step is applying filters using search strings or filter logic so the dashboard shows only Finance- relevant data. Filters constrain what the dashboard or widget displays, allowing the same analytics framework to focus on a specific department, dataset, risk type, classification, or data source. References/topics:
Analytics, Creating Custom Dashboards, Panels, Widgets, Dashboard Filters, GQL/Search Filtering .
NEW QUESTION # 40
What is the first step in configuring the Data Register in Forcepoint DSPM?
Answer: D
Explanation:
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 .
NEW QUESTION # 41
The Forcepoint DSPM dashboards can simplify which of the following tasks? Select three.
Answer: A,C,E
Explanation:
The correct selections are Identifying high-risk users , Identifying ROT data , and Identifying critical data assets . Forcepoint DSPM Analytics includes pre-defined dashboards, or boards, that summarize scan findings into operational views for security, compliance, and data-governance teams. Forcepoint states that Analytics boards present scan-derived metrics such as overexposed files, sensitive data, and data at risk, helping teams make informed decisions about vulnerabilities, risks, and compliance issues.
The pre-defined board list directly supports the three correct options. High Risk Users identifies users with excessive permissions or abnormal access patterns, supporting insider-threat reduction and least-privilege enforcement. ROT Data identifies redundant, obsolete, or trivial data so teams can reduce clutter, unnecessary exposure, and policy risk. Key Data Overview highlights critical data assets, allowing teams to prioritize protection of the organization's most valuable and sensitive information.
The other answers are not the best matches for dashboard simplification in this question. Database assets are handled through structured-data discovery and database-specific workflows, not the named dashboard use cases here. User credentials may be detected as sensitive content in scans, but identifying credentials is not listed as a primary pre-defined dashboard task. References/topics: Analytics, Pre-defined Boards, Data Classification, Data Hygiene, Data Risk, High Risk Users, ROT Data, Key Data Overview .
NEW QUESTION # 42
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