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| Section | Weight | Objectives |
|---|---|---|
| Monitoring, Analytics, and Reporting | 10% | - Alert configuration and monitoring - Dashboard creation and customization - Compliance reporting and audit logs - Analytics and data visualization |
| DSPM Architecture and Deployment | 20% | - Architecture overview and components - Integration with cloud and on-prem environments - Deployment planning and requirements - Installation and configuration |
| Access Governance and Risk Management | 15% | - Incident handling and remediation - Access review and entitlement analysis - Data access governance policies - Risk scoring and prioritization |
| Troubleshooting and Maintenance | 10% | - Log analysis and error resolution - Backup and recovery procedures - System health monitoring - Upgrade and patch management |
| Data Discovery and Classification | 25% | - Scanner and detector configuration - Compliance framework alignment - Pattern matching and classification rules - Data register and sensitive data mapping |
| Administration and Configuration | 20% | - Policy creation and enforcement - User and role management - System settings and maintenance - Controls orchestration |
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NEW QUESTION # 35
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 # 36
Which of the following is a key benefit of defining a custom data taxonomy?
Answer: A
Explanation:
The correct answer is D. Enhances data security . In Forcepoint DSPM, taxonomy is the structured classification model used to assign sensitivity meaning to discovered data. Forcepoint describes taxonomy as a machine-learning-based structured classification system that assigns sensitivity levels such as Confidential , General Business , Public , and Highly-Confidential . This classification directly corresponds to the Classification column in scan results, allowing security and governance teams to understand how sensitive a file or data asset is after scanning.
A custom taxonomy improves security because it lets an organisation align DSPM classification labels with its own internal data-handling rules, security protocols, and business language. Forcepoint notes that taxonomy customization ensures data handling aligns with an organisation's security protocols, and that applied tags are visible in the Data Asset Inventory . In the administration taxonomy workflow, Forcepoint also explains that predefined AI Mesh tags can be supplemented with custom tags for pattern matching and detection rules, and those tags can be mapped to data-source taxonomies for label writeback.
The other options describe possible operational goals but not the primary purpose of taxonomy. Taxonomy is not an authentication mechanism, deduplication feature, or storage-reduction tool. References/topics:
Taxonomy, Classification Tags, AI Mesh, Pattern Matching, Data Asset Inventory, Compliance Hub .
NEW QUESTION # 37
Geoff is configuring the Data Asset Inventory. Which Security Posture Policy Control options are available for him to use? Select three.
Answer: A,B,D
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 # 38
Which of the following is NOT a widget type available in Forcepoint DSPM dashboards?
Answer: A
Explanation:
The correct answer is B. Heatmap . Forcepoint DSPM dashboards are built from configurable widgets that present scan, access, classification, and risk data in different visual formats. The official Forcepoint DSPM widget list includes Counter , Chart , Map , Text , Table , Incidents , Dual Data Grouping , and Multi Counter . Heatmap is not listed as an available dashboard widget type.
The other answer choices are valid widget types. Counter widgets provide quick numerical summaries, such as counts of sensitive files, risky users, or matching records from selected datasets. Forcepoint describes Counter widgets as useful for at-a-glance metrics and supports aggregation functions such as count, sum, average, min, max, and median. Chart widgets visualize grouped data using supported chart formats, including horizontal bar, vertical bar, line, area, or pie charts. Text widgets are also part of the documented widget list and are used for static explanatory or contextual information on a board.
Therefore, Heatmap is the non-valid option. References/topics: Analytics, Dashboards, Widgets, Counter, Chart, Text, Dashboard Components .
NEW QUESTION # 39
Which statement best describes what happens when a detector group is selected while creating a content detector?
Answer: B
Explanation:
The correct answer is B . In Forcepoint DSPM, content detectors analyze file contents using configured search logic such as keywords, phrases, positive and negative terms, or regular expressions. During detector creation, administrators can associate the detector with a detector group. Forcepoint states that when a detector group is selected, the detector becomes part of the AI Mesh and contributes to classification results. If the administrator does not want the detector to influence classification, a non-AI Mesh detector group should be selected instead.
This is important because detector grouping controls whether detector hits are merely informational or actively influence classification decisions. A payroll detector, for example, may search for terms such as salary, payslip, compensation, or payroll. If tied into the AI Mesh, those hits can help classify files as sensitive or confidential. The other options misrepresent detector behavior. Detectors do not automatically revoke permissions, convert keywords directly into taxonomy labels, or disappear from scan results when grouped. References/topics: Administration > Detectors, Content Detectors, Detector Groups, AI Mesh, Classification Results, Contain/Not Contain Logic .
NEW QUESTION # 40
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