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| Section | Objectives |
|---|---|
| Topic 1: Analytics and Dashboards | - Dashboard Customization - Risk Analysis and Reporting - Analytic Dashboards - Enterprise Search |
| Topic 2: Compliance Hub and Data Register | - Data Asset Inventory - Security Posture Policies - Departments Configuration - Metadata Management |
| Topic 3: Detector Configuration | - Detector Testing and Validation - Keyword Detectors - Regular Expression Detectors - Path Detectors |
| Topic 4: Controls Orchestration | - Incident Investigation - Risk Classification - Rule Creation and Management - Webhook Configuration |
| Topic 5: Preparing and Deploying Forcepoint DSPM | - Lab Environment Preparation - User Management Configuration - DSPM Deployment Architecture - Data Source Configuration |
| Topic 6: Data Discovery and Scanning | - LDAP Integration - SMB Data Sources - Scan Configuration - Data Visibility and Monitoring |
| Topic 7: Pattern Matching and Classification | - Classification Policies - Regular Expressions - Sensitive Data Identification - Custom Pattern Creation |
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NEW QUESTION # 25
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 # 26
When creating a Detector, which field allows you to exclude specific criteria from the search?
Answer: B
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 # 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
Which of the following statements is true about Forcepoint DSPM pattern matching?
Answer: D
Explanation:
The correct answer is A . Forcepoint DSPM pattern matching is designed to let administrators define and tune custom detection logic for organisation-specific sensitive data. The documented pattern-matching function identifies particular information in documents by using Regular Expressions , and Forcepoint notes that pattern matching uses Golang RegEx syntax, which is separate from Detector syntax.
When a new pattern is added under Administration > Pattern Matching , the configuration includes Pattern Name , Regular Expression , enablement state, hidden RegEx handling, and tag assignments for Classification , Compliance , and Distribution . Forcepoint states that the Regular Expression is "the sequence to be matched," and that selected tags can override machine-learning model output during endpoint suggestions and file scans. This supports the principle that custom patterns can be adjusted so the RegEx better matches an organisation's data formats, identifiers, project codes, or regulatory artifacts.
The other statements do not match the documented pattern workflow. Country assignment is not presented as a core custom-pattern field. Export/import of data patterns is not part of the stated pattern-matching configuration flow. Default or preconfigured patterns are provided as built-in detection content and should not be treated as administrator-editable RegEx templates. References/topics: Pattern Matching, Add New Pattern, RegEx, Classification Tags, Compliance Tags, Distribution Tags .
NEW QUESTION # 29
Which of the following is NOT a key use case for detectors in Forcepoint DSPM?
Answer: A
Explanation:
The correct answer is A. Encrypting data transfers . Detectors in Forcepoint DSPM are classification and discovery components, not transport-security controls. A detector is used to analyze file content, file paths, attributes, keywords, phrases, regular expressions, and positive or negative match terms so the platform can identify and categorize data during scans. Forcepoint describes Content Detectors as tools that "analyze file content to detect and categorize" based on keywords, phrases, or patterns, making them directly relevant to finding sensitive information.
Detectors also support compliance and breach-prevention outcomes because their findings contribute to the broader DSPM visibility model: identifying where sensitive data exists, how it is classified, and where risk- reduction actions may be needed. Forcepoint describes DSPM as providing visibility and risk remediation across cloud and on-premises environments, and notes that AI technology combined with Detectors and Compliance Hub helps organizations protect sensitive information and maintain regulatory requirements.
Encryption of data transfers, however, is handled by transport protocols, connector configuration, network security controls, or platform security architecture-not by detector logic. Detectors can help discover sensitive data that may require protection, but they do not encrypt traffic. References/topics: Detectors, Content Detectors, AI Mesh, Sensitive Data Discovery, Compliance Hub, Risk Remediation .
NEW QUESTION # 30
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