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| Section | Weight | Objectives |
|---|---|---|
| DSPM Architecture and Deployment | 20% | - Deployment planning and requirements - Installation and configuration - Integration with cloud and on-prem environments - Architecture overview and components |
| Administration and Configuration | 20% | - Policy creation and enforcement - Controls orchestration - User and role management - System settings and maintenance |
| Access Governance and Risk Management | 15% | - Incident handling and remediation - Data access governance policies - Access review and entitlement analysis - Risk scoring and prioritization |
| Data Discovery and Classification | 25% | - Pattern matching and classification rules - Compliance framework alignment - Scanner and detector configuration - Data register and sensitive data mapping |
| Monitoring, Analytics, and Reporting | 10% | - Alert configuration and monitoring - Compliance reporting and audit logs - Analytics and data visualization - Dashboard creation and customization |
| Troubleshooting and Maintenance | 10% | - Backup and recovery procedures - Log analysis and error resolution - Upgrade and patch management - System health monitoring |
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NEW QUESTION # 23
Which of the following is a key benefit of defining a custom data taxonomy?
Answer: B
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 # 24
Which of the following are key configuration components of pattern matching in Forcepoint DSPM? Select two.
Answer: C,D
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 # 25
When creating a Detector, which field allows you to exclude specific criteria from the search?
Answer: D
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 # 26
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 # 27
In which area of the Enterprise Search view would you click if you wanted to see the file details of the Technology Blueprint.CSV file?
Answer:
Explanation:
Explanation:
Users/Administrator/Desk.../Technology Blueprint.csv
To view the file details for Technology Blueprint.CSV , select the diagonal expand/open-details icon on the far-left side of that file's row in Enterprise Search . This icon appears before the row checkbox and before the file path. It is the row-level control used to open the detailed file view for the selected file.
Forcepoint DSPM's Enterprise Search view presents discovered files in a tabular results format, with each row representing an individual scanned file and columns showing properties such as path, risk, classification, compliance, detector hits, attributes, keywords, and last classification date. Forcepoint documentation describes Enterprise Search as the location where each listed file has associated file details shown in columns and where administrators can refine displayed information through column configuration.
The checkbox is used for selecting the row for bulk or action-based operations, and the hamburger menu on the right provides additional row actions such as permissions or other menu-driven options. To inspect the file itself, the correct target is the left-side expand/details icon aligned with the Technology Blueprint.CSV entry. References/topics: Enterprise Search, File Details, Search Results Table, Row-Level Expand Details, File Classification Review .
NEW QUESTION # 28
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