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| Section | Objectives |
|---|---|
| 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 - Database discovery and structured data scanning - SIEM and external integrations - Configuring data sources |
| Data Classification and Detection | - Taxonomy and labeling mechanisms - Detectors and detector groups - Pattern matching and classification models |
| Deployment and Installation | - Initial setup and configuration - System requirements and prerequisites - Standalone DSPM deployment workflow |
| 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 |
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NEW QUESTION # 18
Why is it important to assign a data owner in each department in Forcepoint DSPM?
Answer: B
NEW QUESTION # 19
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: A
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 # 20
Which of the following are steps in creating a data classification and handling policy? Select four.
Answer: A,C,D,E
Explanation:
The correct selections are A, C, D, and E . A data classification and handling policy is a governance artifact that defines how data assets are categorized, owned, protected, reviewed, and aligned to legal or regulatory requirements. In Forcepoint DSPM, this sits within Policy Center and Compliance Hub , which are designed to support data classification, policy creation, security-control implementation, compliance, and risk reduction. Forcepoint states that Policy Center streamlines policy creation and prompts organizational representatives to provide information needed to build a governance framework aligned to organizational goals.
Specifying asset requirements maps to Data Mapping, where organizations define Data Asset Inventory fields and metadata such as retention period, business owner, regulatory scope, review status, and project name. Incorporating industry-specific regulations is required because departmental policy design must reflect obligations such as GDPR, HIPAA, and PCI DSS. Defining classification levels aligns to Taxonomy, where sensitivity levels such as Confidential, General Business, Public, and Highly Confidential are configured. Outlining roles and responsibilities aligns to assigning policy owners, department heads, representatives, and accountable stakeholders. Network traffic protocols are not a core step in creating a data classification and handling policy; they belong to network architecture or transport-control design, not data governance policy creation.
NEW QUESTION # 21
When creating a Security Posture Policy in Forcepoint DSPM, which field uses a GQL query to identify the data asset?
Answer: A
Explanation:
The correct answer is C. Data Mapping . In Forcepoint DSPM, Security Posture Policies are used to define and govern critical business data assets, often referred to as crown-jewel data. Each policy represents a managed data asset associated with a department, owner, and query-based definition. The Data Mapping field is where the administrator enters or edits the GQL query that identifies which files or records belong to that data asset. Forcepoint's documentation explicitly lists Asset Name , Department , Data Owner , and Data Mapping as required Security Posture Policy details, and defines Data Mapping as "a GQL query used to identify the data asset within the DSPM database." This distinction matters because Asset Name is only the business label, Department assigns responsibility to a business unit, and Data Owner identifies the person or group accountable for monitoring and compliance.
The actual technical selection logic is contained in Data Mapping , where GQL can match data across sources such as SMB and SharePoint using query criteria like source and path. References/topics: Policy Center, Data Register, Security Posture Policies, Data Mapping, GQL, Data Asset Inventory .
NEW QUESTION # 22
When creating a Detector, which field allows you to exclude specific criteria from the search?
Answer: D
Explanation:
The correct answer is A. Not contain . In Forcepoint DSPM, detector creation uses inclusion and exclusion logic to control what should trigger a detector match. The Contain field defines the positive match criteria:
the keywords, phrases, regular expressions, extensions, or path terms that the detector should search for. The Not Contain field provides the negative condition: terms or criteria that should be ignored even when the broader detector logic would otherwise match.
Forcepoint's DSPM documentation for Content Detectors states that if there are terms the detector should ignore, they are set in the Not Contain field. The same concept appears in Path Detectors , where administrators define the search method, populate Contain with triggering terms, and then use Not Contain to exclude terms from matching.
This matters operationally because detectors can otherwise generate excessive or misleading matches. For example, a detector looking for payroll-related content may include "salary" or "compensation" in Contain , while excluding harmless template, archive, or test terms in Not Contain . Not Add , Except , and Exclude are not the documented detector-configuration field names. References/topics: Administration > Detectors, Content Detectors, Path Detectors, Contain/Not Contain logic, AI Mesh detector contribution .
NEW QUESTION # 23
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