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| Section | Objectives |
|---|---|
| Topic 1: Preparing and Deploying Forcepoint DSPM | - User Management Configuration - DSPM Deployment Architecture - Lab Environment Preparation - Data Source Configuration |
| Topic 2: Pattern Matching and Classification | - Sensitive Data Identification - Classification Policies - Regular Expressions - Custom Pattern Creation |
| Topic 3: Data Discovery and Scanning | - Scan Configuration - LDAP Integration - Data Visibility and Monitoring - SMB Data Sources |
| Topic 4: Controls Orchestration | - Incident Investigation - Webhook Configuration - Rule Creation and Management - Risk Classification |
| Topic 5: Detector Configuration | - Path Detectors - Regular Expression Detectors - Detector Testing and Validation - Keyword Detectors |
| Topic 6: Analytics and Dashboards | - Risk Analysis and Reporting - Dashboard Customization - Analytic Dashboards - Enterprise Search |
| Topic 7: Compliance Hub and Data Register | - Departments Configuration - Security Posture Policies - Metadata Management - Data Asset Inventory |
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NEW QUESTION # 16
Provide the matching definitions for these Forcepoint DSPM Controls Orchestration terms:
Answer:
Explanation:
Explanation:
Workflow Configuration Tool # Allows the creation of GQL syntax rules with conditions for organizational files and users.
Rule-Based Automation # Establish criteria to identify data policy violations, data handling irregularities, and other anomalies.
Notification System # Triggered rules can be configured to generate alerts and send them to webhooks to ensure prompt action.
Incident Management # Review events and manage rules through cards.
Controls Orchestration in Forcepoint DSPM is the policy automation layer used to convert data-risk criteria into reviewable operational events. The Workflow Configuration Tool is represented by the rule-building interface under Policy Center > Controls Orchestration , where administrators define datasets, ownership, rule conditions, and GQL logic for organizational files, trustees, or agent activities. Forcepoint states that rules are created to identify data matching specific criteria and are applied during scans of the selected dataset.
Rule-Based Automation describes the criteria-driven detection model. Administrators establish rules that identify policy violations, data-handling irregularities, or other anomalies that require attention. Notification System maps to the ability to configure triggered rules to send external notifications, including webhook- based alerts, when matching data is detected. Incident Management maps to the Incidents workflow:
Forcepoint states that each rule is automatically added as a card in the Incidents tab, and selecting the card takes the user back to the associated rule. References/topics: Policy Center, Controls Orchestration, GQL Conditions, Notifications, Webhooks, Incidents .
NEW QUESTION # 17
Which field is required when creating Departments in Forcepoint DSPM Compliance Hub?
Answer: B
Explanation:
The correct answer is D. Head of Department . In Forcepoint DSPM Compliance Hub, Departments represent organisational business units such as HR, Finance, or Payment Processing. They are used to mirror the company's functional structure inside the governance workflow so that policies, data assets, ownership responsibilities, and review activities can be aligned to the correct business stakeholders. Forcepoint states that Departments are configured by defining company departments and assigning department representatives, with department heads or business-unit representatives acting as primary points of contact.
The documented workflow for adding a department is explicit: click Add new department , then enter the Department name , Head of Department , and Notify At email address, then save. This makes Head of Department the required field among the options listed. The field is important because department heads receive governance-related notifications and, when they log in, see only the Security Posture Policies and Data Asset Inventory assigned to their department.
The distractors belong to other workflows. Chief Reviewer is not the department-creation field. Group Name relates to user or group administration, not Compliance Hub department definition. GQL data mapping is used for identifying data assets within DSPM policy/data-mapping logic, not for creating a department.
References/topics: Compliance Hub, Departments, Department Representatives, Policy Center, Data Asset Inventory visibility .
NEW QUESTION # 18
What is the role of the File Audit Log in Forcepoint DSPM?
Answer: A
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 # 19
Geoff is configuring the Data Asset Inventory. Which Security Posture Policy Control options are available for him to use? Select three.
Answer: B,D,E
Explanation:
The correct options are Yes/No, Select, and Text . In Forcepoint DSPM, Security Posture Policy Controls are configured under Policy Center > Compliance Hub > Data Mapping . These controls define the metadata fields that appear in the Data Asset Inventory , allowing data owners to describe and govern critical data assets using consistent business and compliance attributes. Forcepoint describes Data Mapping as the framework used to define fields available in the Data Asset Inventory so data owners can assign metadata tags to critical data. Examples include retention period, business owner, regulatory scope, review status, and project name.
The documented control types are Text , Yes/No , and Select . Text creates a free-form text field, useful for values such as project name or business context. Yes/No creates a binary drop-down, appropriate for simple governance questions such as whether a review is required. Select creates a predefined selection menu aligned with common data governance frameworks.
GQL query is not a Data Mapping control type; GQL is used elsewhere for search and Controls Orchestration rule conditions. Checkbox is also not listed as a supported Security Posture Policy Control option. References/topics: Compliance Hub, Data Mapping, Security Posture Policy Controls, Data Asset Inventory, Metadata Governance .
NEW QUESTION # 20
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 # 21
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