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| Section | Objectives |
|---|---|
| Detector Configuration | - Detector Testing and Validation - Path Detectors - Regular Expression Detectors - Keyword Detectors |
| Data Discovery and Scanning | - Data Visibility and Monitoring - SMB Data Sources - LDAP Integration - Scan Configuration |
| Pattern Matching and Classification | - Regular Expressions - Sensitive Data Identification - Classification Policies - Custom Pattern Creation |
| Analytics and Dashboards | - Dashboard Customization - Risk Analysis and Reporting - Analytic Dashboards - Enterprise Search |
| Preparing and Deploying Forcepoint DSPM | - DSPM Deployment Architecture - Data Source Configuration - User Management Configuration - Lab Environment Preparation |
| Compliance Hub and Data Register | - Data Asset Inventory - Metadata Management - Security Posture Policies - Departments Configuration |
| Controls Orchestration | - Webhook Configuration - Incident Investigation - Rule Creation and Management - Risk Classification |
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NEW QUESTION # 14
Match the type of detector with its primary function.
Answer:
Explanation:
Explanation:
Path Detectors = Monitor storage locations of sensitive data
Content Detectors = Analyze data within files for sensitive data
Attribute Detectors = Identify meta-data within documents
Forcepoint DSPM separates detector logic into path, content, and attribute-based functions so classification can be driven by where data is stored, what the file contains, and what scan-derived attributes describe the file. Path Detectors evaluate file path information, including directory location, filename, and extension.
Forcepoint describes them as identifying and classifying files based on directory location and file extensions, which aligns with monitoring storage locations where sensitive data resides.
Content Detectors inspect the actual contents of files. Forcepoint states that content detectors analyze file content and categorize based on keywords, phrases, positive and negative terms, or patterns, making them the correct match for analyzing data within files for sensitive data.
Attribute Detectors operate on scan-result attributes rather than raw text content alone. Forcepoint describes them as defining criteria for "critical" and "sensitive" based on attributes in scan results, including ML output or path/content detector hits. This maps most closely to identifying metadata or scan-derived characteristics within documents. References/topics: Detectors, Path Detectors, Content Detectors, Attribute Detectors, AI Mesh, Classification Model .
NEW QUESTION # 15
Which of the following are key configuration components of pattern matching in Forcepoint DSPM? Select two.
Answer: A,E
Explanation:
The correct selections are Regular expressions and Classification tags . In Forcepoint DSPM pattern matching, a pattern is built around a RegEx , meaning the text sequence or structure the system searches for during file scans. Forcepoint defines RegEx as "a sequence or pattern that is searched for in text," and defines a pattern as the RegEx plus the rules associated with its detection. That makes regular expressions the core detection mechanism for custom pattern matching.
Classification tags are also a key configuration component because they define how matching files should be labelled after the pattern is detected. In the Add New Pattern workflow, Forcepoint lists Classifications as a configurable field and describes it as the "Classification tagset value." The same workflow states that selected Classification, Compliance, and Distribution values override machine-learning model output during endpoint suggestions and file scans.
The remaining options are not primary pattern-matching configuration components. Applicable Country is not listed as a core pattern field in the documented pattern workflow. User credentials belong to identity and access management, not detection logic. Data sensitivity keys is not the documented configuration term used for pattern creation. References/topics: Pattern Matching, RegEx Detection, Classification Tags, Compliance Tags, Distribution Tags, Scan Classification Overrides .
NEW QUESTION # 16
Match each export option with an appropriate use case:
Answer:
Explanation:
Explanation:
Export a Dashboard in PDF format # For analysis by other users
Export a Dashboard in JSON format # To duplicate a dashboard in another Forcepoint DSPM deployment Export Enterprise Search results in CSV format # To import data into a spreadsheet or database Export Enterprise Search results in JSONL format # To import data into a SIEM solution Forcepoint DSPM uses different export formats for different operational purposes. A Dashboard PDF export is intended for human-readable sharing, review, and offline analysis. PDF is best when the dashboard needs to be distributed to managers, auditors, analysts, or department stakeholders who need a static visual report rather than a reusable configuration object. Forcepoint documents dashboard export capability as supporting PDF and JSON export from the dashboard interface.
A Dashboard JSON export preserves the dashboard definition rather than just the visual output. This makes JSON the correct format when the goal is to duplicate or migrate a dashboard into another Forcepoint DSPM deployment, because the dashboard structure, layout, panels, widgets, and configuration can be reused.
For Enterprise Search , CSV is the correct format for spreadsheet or database workflows. CSV is tabular, broadly compatible, and suited for Excel-style analysis, reporting, joins, and external data review. Forcepoint documents Enterprise Search export as producing CSV or JSON downloads of filtered data.
JSONL is most appropriate for SIEM ingestion because each line can represent an individual structured event or record, making it easier for log pipelines and event-processing systems to parse at scale. References/topics:
Analytics Export, Dashboard Export, Enterprise Search Export, CSV, JSON/JSONL, SIEM Integration
.
NEW QUESTION # 17
Ella needs to add a panel to the following dashboard. Where would she click to have access to add a panel to the dashboard?
Answer:
Explanation:
Explanation:
Click EDIT WIDGETS in the upper-right area of the dashboard.
Ella should click the EDIT WIDGETS button near the upper-right side of the dashboard, beside the EXPORT PDF button. This control opens the dashboard edit view, which exposes the controls required to modify dashboard content, including adding widgets and adding panels. In the screenshot, the correct click target is the green-outlined EDIT WIDGETS button above the dashboard panels.
Forcepoint documents dashboards as being primarily constructed from panels and widgets . A panel is the container that organizes one or more widgets, while widgets display selected datasets such as files, trustees, connectors, agents, or other DSPM analytics data. The Forcepoint documentation specifically states: "Edit Widgets: Click the Edit Widget button, to open the edit view." It then lists Add widget and Add panel as functions available from that edit mode.
Therefore, Ella cannot add a panel by clicking the existing charts, the left navigation list, or the dashboard title. She must first enter edit mode through EDIT WIDGETS , then use the available Add panel option.
References/topics: Analytics, Components of a Dashboard, Edit Widgets, Add Panel, Panels and Widgets
.
NEW QUESTION # 18
Geoff is configuring the Data Asset Inventory. Which Security Posture Policy Control options are available for him to use? Select three.
Answer: A,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 # 19
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