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| Section | Weight | Objectives |
|---|---|---|
| Access Governance and Risk Management | 15% | - Risk scoring and prioritization - Data access governance policies - Access review and entitlement analysis - Incident handling and remediation |
| Monitoring, Analytics, and Reporting | 10% | - Dashboard creation and customization - Compliance reporting and audit logs - Analytics and data visualization - Alert configuration and monitoring |
| Data Discovery and Classification | 25% | - Pattern matching and classification rules - Scanner and detector configuration - Data register and sensitive data mapping - Compliance framework alignment |
| DSPM Architecture and Deployment | 20% | - Architecture overview and components - Installation and configuration - Integration with cloud and on-prem environments - Deployment planning and requirements |
| Troubleshooting and Maintenance | 10% | - Upgrade and patch management - Log analysis and error resolution - Backup and recovery procedures - System health monitoring |
| Administration and Configuration | 20% | - Controls orchestration - Policy creation and enforcement - User and role management - System settings and maintenance |
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NEW QUESTION # 14
Which of the following is an option to aid the process of reviewing the incidents generated from triggered rules in Controls Orchestration?
Answer: B
Explanation:
The correct answer is B . Forcepoint DSPM Controls Orchestration rules are built around query-driven rule logic. In the rule configuration workflow, administrators select a dataset such as Files , Trustees , or Agent Activities , then configure the rule condition using GQL syntax . This GQL condition defines which records match the rule and therefore which results appear as incidents when the rule is triggered. Forcepoint documentation states that Controls Orchestration rules identify data matching specific criteria and that the Condition field uses GQL syntax to filter the selected dataset.
When reviewing incidents, Forcepoint's Incidents page provides a top-down view of orchestration rules and available match results. Selecting an incident card opens a results preview, and choosing View in the Page displays those matched files in Enterprise Search , where additional review and action options are available.
Enterprise Search is specifically designed to narrow scanned-file results using GetVisibility Query Language
, and Forcepoint notes that GQL filtering helps reduce the result set to a more manageable subset for analysis and action.
Timestamp, Risk type, and keyword filtering may be useful in other contexts, but the documented advanced review mechanism for these results is GQL-based filtering. References/topics: Controls Orchestration, Incidents, Enterprise Search, GQL Filtering, Rule Match Review .
NEW QUESTION # 15
What is the first step in configuring the Data Register in Forcepoint DSPM?
Answer: C
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 # 16
What is the purpose of assigning compliance tags to data patterns in Forcepoint DSPM?
Answer: B
Explanation:
Compliance tags in Forcepoint DSPM are used to associate detected data patterns with regulatory or compliance obligations. The correct answer is B because these tags help the platform identify files and data objects that may fall under privacy, security, or industry-specific regulatory regimes. Forcepoint's pattern- matching terminology defines Compliance as tags that help organizations conform to regulatory regimes, and gives the example of applying tags such as GDPR/PII to a Social Security number pattern so related documents can be identified.
Operationally, this means a pattern is not only detecting a technical string, such as a national identifier, payment card number, or health-related value; it is also attaching compliance meaning to the match. That compliance context can then support classification, filtering, analytics, remediation prioritisation, and audit evidence. Forcepoint also states that when adding a new pattern, selected Classification, Compliance, and Distribution values can override machine-learning model output during scans, making the assigned tags authoritative for scan results.
The other options are adjacent but incorrect. User monitoring and reporting are downstream analytics activities, encryption policy management is not the core purpose of pattern compliance tagging, and user credentials are handled through identity and access management workflows. References/topics: Pattern Matching, Compliance Tags, Classification Model, AI Mesh, Regulatory Data Identification .
NEW QUESTION # 17
Which of the following are actions that can be performed from the Enterprise Search page? Select three.
Answer: B,C,D
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 # 18
When creating a Detector, which field allows you to exclude specific criteria from the search?
Answer: A
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 # 19
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