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| Section | Objectives |
|---|---|
| Topic 1: Forcepoint DSPM Architecture and Overview | - Deployment models (cloud / standalone) - DSPM system components and platform overview |
| Topic 2: Deployment and Installation | - Initial setup and configuration - System requirements and prerequisites - Standalone DSPM deployment workflow |
| Topic 3: Data Classification and Detection | - Detectors and detector groups - Pattern matching and classification models - Taxonomy and labeling mechanisms |
| Topic 4: Administration and User Management | - User federation and Active Directory integration - User synchronization and management - Role-based access control (RBAC) |
| Topic 5: Data Sources and Integration | - SIEM and external integrations - Streaming and event integration - Database discovery and structured data scanning - Configuring data sources |
| Topic 6: Monitoring, Analytics, and Reporting | - Dashboards and analytics widgets - Data lineage and compliance monitoring - Scan progress and risk visibility |
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NEW QUESTION # 25
The Forcepoint DSPM dashboards can simplify which of the following tasks? Select three.
Answer: A,B,E
Explanation:
The correct selections are Identifying high-risk users , Identifying ROT data , and Identifying critical data assets . Forcepoint DSPM Analytics includes pre-defined dashboards, or boards, that summarize scan findings into operational views for security, compliance, and data-governance teams. Forcepoint states that Analytics boards present scan-derived metrics such as overexposed files, sensitive data, and data at risk, helping teams make informed decisions about vulnerabilities, risks, and compliance issues.
The pre-defined board list directly supports the three correct options. High Risk Users identifies users with excessive permissions or abnormal access patterns, supporting insider-threat reduction and least-privilege enforcement. ROT Data identifies redundant, obsolete, or trivial data so teams can reduce clutter, unnecessary exposure, and policy risk. Key Data Overview highlights critical data assets, allowing teams to prioritize protection of the organization's most valuable and sensitive information.
The other answers are not the best matches for dashboard simplification in this question. Database assets are handled through structured-data discovery and database-specific workflows, not the named dashboard use cases here. User credentials may be detected as sensitive content in scans, but identifying credentials is not listed as a primary pre-defined dashboard task. References/topics: Analytics, Pre-defined Boards, Data Classification, Data Hygiene, Data Risk, High Risk Users, ROT Data, Key Data Overview .
NEW QUESTION # 26
Which of the following is a key benefit of defining a custom data taxonomy?
Answer: D
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 # 27
Put the following steps in order for applying a filter to a widget of a duplicated dashboard:
Answer:
Explanation:
Explanation:
1 # 3 # 4 # 2
The correct sequence is Select the Edit Widgets button , Open the Widget settings , Edit the GQL filter , and then Save the updated filter . In Forcepoint DSPM Analytics, a duplicated dashboard must first be placed into a widget-editable state before any individual widget configuration can be changed. Forcepoint describes dashboards as being built from panels and widgets , and identifies Edit Widgets as the control used to open the edit view for modifying widgets on a board. ( help.forcepoint.com ) After edit mode is active, the administrator opens the specific widget's settings because the filter is scoped to that widget rather than the whole dashboard. The GQL filter is then edited to constrain the widget's selected dataset, such as files, trustees, connectors, agents, database tables, or other analytics objects. This follows Forcepoint's dashboard model, where widgets present information from selected datasets and have their own customization options. ( help.forcepoint.com ) The final action is saving the updated filter so the duplicated dashboard preserves the modified widget logic. References/topics: Analytics, Dashboard Components, Edit Widgets, Widget Settings, GQL Filters, Custom/Duplicated Dashboards .
NEW QUESTION # 28
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 # 29
Which statement best describes what happens when a detector group is selected while creating a content detector?
Answer: D
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 # 30
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