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| Section | Objectives |
|---|---|
| Topic 1: Detector Configuration | - Regular Expression Detectors - Path Detectors - Detector Testing and Validation - Keyword Detectors |
| Topic 2: Data Discovery and Scanning | - Data Visibility and Monitoring - SMB Data Sources - Scan Configuration - LDAP Integration |
| Topic 3: Pattern Matching and Classification | - Regular Expressions - Classification Policies - Custom Pattern Creation - Sensitive Data Identification |
| Topic 4: Controls Orchestration | - Risk Classification - Incident Investigation - Webhook Configuration - Rule Creation and Management |
| Topic 5: Compliance Hub and Data Register | - Departments Configuration - Data Asset Inventory - Security Posture Policies - Metadata Management |
| Topic 6: Analytics and Dashboards | - Risk Analysis and Reporting - Analytic Dashboards - Dashboard Customization - Enterprise Search |
| Topic 7: Preparing and Deploying Forcepoint DSPM | - Lab Environment Preparation - User Management Configuration - Data Source Configuration - DSPM Deployment Architecture |
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NEW QUESTION # 30
How are data owners defined in Forcepoint DSPM?
Answer: A
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 # 31
Which of the following is an option to aid the process of reviewing the incidents generated from triggered rules in Controls Orchestration?
Answer: A
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 # 32
What is the purpose of assigning compliance tags to data patterns in Forcepoint DSPM?
Answer: D
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 # 33
Adam needs to update the taxonomy tags in Forcepoint DSPM to match his company's policies. Where on the UI are taxonomy tags managed?
Answer:
Explanation:
Explanation:
Administration > Taxonomy
Taxonomy tags are managed from the Administration menu, specifically under Administration > Taxonomy . In the screenshot, Adam should not select Policy Center ; the currently open menu shows Compliance Hub, Data Register, Controls Orchestration, and Incidents, but taxonomy management is not located there. The correct UI action is to open the Administration drop-down on the top navigation bar and select Taxonomy .
Forcepoint's DSPM documentation states that the Taxonomy page displays predefined AI Mesh tags, which cannot be removed, and also allows administrators to add custom tags for pattern matching and detection rules. It further explains that taxonomy mapping can connect AI Mesh tags with data-source taxonomies so mapped tags can be written back as the organization's own labels.
This location is important because taxonomy governs the classification language DSPM applies to scanned data. By updating taxonomy tags, Adam aligns DSPM classification output with the company's internal handling policies, sensitivity labels, and compliance terminology. Forcepoint also notes that new taxonomy tags are created from the Taxonomy tab under the Administration section, and that applied tags are visible in the Data Asset Inventory. References/topics: Administration, Taxonomy, AI Mesh Tags, Classification Tags, Pattern Matching, Detection Rules .
NEW QUESTION # 34
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 # 35
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