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| Section | Objectives |
|---|---|
| Topic 1: Monitoring, Analytics, and Reporting | - Scan progress and risk visibility - Data lineage and compliance monitoring - Dashboards and analytics widgets |
| Topic 2: Data Classification and Detection | - Detectors and detector groups - Taxonomy and labeling mechanisms - Pattern matching and classification models |
| Topic 3: Data Sources and Integration | - Streaming and event integration - Database discovery and structured data scanning - Configuring data sources - SIEM and external integrations |
| Topic 4: Forcepoint DSPM Architecture and Overview | - DSPM system components and platform overview - Deployment models (cloud / standalone) |
| Topic 5: Administration and User Management | - User federation and Active Directory integration - User synchronization and management - Role-based access control (RBAC) |
| Topic 6: Deployment and Installation | - Initial setup and configuration - System requirements and prerequisites - Standalone DSPM deployment workflow |
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NEW QUESTION # 37
How are data owners defined in Forcepoint DSPM?
Answer: D
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: C
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
Which of the following describes a use case for Forcepoint DSPM pattern matching?
Answer: A
Explanation:
Forcepoint DSPM pattern matching is used to identify defined pieces of information inside scanned content by applying regular expressions. The documented function is discovery and classification: pattern matching identifies particular information in a document by using RegEx that attempts to match file content. This makes identifying personally identifiable information on SharePoint the correct use case. SharePoint is a supported Microsoft data source for scanning, and Forcepoint specifically documents SharePoint Online as a connector used to scan SharePoint accounts and apply classification tags to files containing sensitive data stored in SharePoint.
The key distinction is that pattern matching does not perform remediation actions such as redaction or encryption. Options B and D therefore overstate the capability: Forcepoint DSPM may discover and classify sensitive data that later informs controls, but the pattern itself is not a redaction or encryption engine. Option A is less precise in this context because the question is testing the canonical pattern-matching use case against scanned documents and repositories, while the strongest documented repository example among the choices is SharePoint. Pattern configuration can also assign classification, compliance, and distribution tags when a RegEx is detected, such as GDPR/PII tagging for identifiers. References/topics: Pattern Matching, RegEx, Compliance Tags, SharePoint Scanning, Sensitive Data Classification .
NEW QUESTION # 40
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?
Answer: B
Explanation:
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 .
NEW QUESTION # 41
Which of the following are key features of Controls Orchestration in Forcepoint DSPM? Select four.
Answer: B,C,D,E
Explanation:
The correct selections are Rule-Based Automation, Incident Management, Webhook Notification System, and Workflow Configuration Tool . Forcepoint DSPM Controls Orchestration is built around rules that identify data requiring attention and can trigger notifications or automated responses. The official documentation describes Controls Orchestration as providing "automated work flows, rule-based detection, timely notifications, and efficient incident management," which directly maps to these four options.
Rule-Based Automation is represented by custom rules that evaluate datasets such as files, trustees, or agent activities using GQL conditions. Workflow Configuration Tool is reflected in the rule-building process under Policy Center > Controls Orchestration , where administrators create rules, define ownership, select the asset, configure conditions, and enable the rule.
Webhook Notification System is valid because orchestration rules can send notifications outside Forcepoint DSPM, and webhook functionality sends HTTP requests to a configured callback endpoint when a defined condition is met. Incident Management is also core because each rule is automatically added as a card in the Incidents tab, linking detected conditions to operational review and response. Rule-Based Remediation is not the best answer here because remediation is an outcome of automated response workflows, not the named key feature in this option set. References/topics: Controls Orchestration, GQL Rules, Webhooks, Incidents, Policy Center .
NEW QUESTION # 42
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