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| Section | Objectives |
|---|---|
| Topic 1: Detector Configuration | - Detector Testing and Validation - Keyword Detectors - Regular Expression Detectors - Path Detectors |
| Topic 2: Compliance Hub and Data Register | - Metadata Management - Data Asset Inventory - Departments Configuration - Security Posture Policies |
| Topic 3: Data Discovery and Scanning | - LDAP Integration - Scan Configuration - SMB Data Sources - Data Visibility and Monitoring |
| Topic 4: Controls Orchestration | - Rule Creation and Management - Risk Classification - Webhook Configuration - Incident Investigation |
| Topic 5: Analytics and Dashboards | - Dashboard Customization - Risk Analysis and Reporting - Enterprise Search - Analytic Dashboards |
| Topic 6: Pattern Matching and Classification | - Sensitive Data Identification - Regular Expressions - Custom Pattern Creation - Classification Policies |
| Topic 7: Preparing and Deploying Forcepoint DSPM | - DSPM Deployment Architecture - User Management Configuration - Lab Environment Preparation - Data Source Configuration |
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NEW QUESTION # 13
What is the purpose of assigning compliance tags to data patterns in Forcepoint DSPM?
Answer: A
Explanation:
Compliance tags in Forcepoint DSPM are used to associate detected data patterns with regulatory or compliance obligations. The correct answer is B because these tags help the platform identify files and data objects that may fall under privacy, security, or industry-specific regulatory regimes. Forcepoint's pattern- matching terminology defines Compliance as tags that help organizations conform to regulatory regimes, and gives the example of applying tags such as GDPR/PII to a Social Security number pattern so related documents can be identified.
Operationally, this means a pattern is not only detecting a technical string, such as a national identifier, payment card number, or health-related value; it is also attaching compliance meaning to the match. That compliance context can then support classification, filtering, analytics, remediation prioritisation, and audit evidence. Forcepoint also states that when adding a new pattern, selected Classification, Compliance, and Distribution values can override machine-learning model output during scans, making the assigned tags authoritative for scan results.
The other options are adjacent but incorrect. User monitoring and reporting are downstream analytics activities, encryption policy management is not the core purpose of pattern compliance tagging, and user credentials are handled through identity and access management workflows. References/topics: Pattern Matching, Compliance Tags, Classification Model, AI Mesh, Regulatory Data Identification .
NEW QUESTION # 14
Anna created a complex GQL query that she plans on using weekly to filter the results and export the data for review. How can she store this query for repeated use?
Answer: A
Explanation:
The correct answer is C . Forcepoint DSPM allows frequently used Enterprise Search filters to be saved as bookmarks, which is the appropriate method for Anna's weekly workflow. The documented Enterprise Search capability states that the page lets users access recently used filters, save frequently used filters as bookmarks, customize column headings, and generate meaningful reports. It also supports advanced filtering through GetVisibility Query Language , where a GQL query narrows scanned-file results to a focused, manageable subset for analysis and action.
Operationally, Anna would go to Enterprise Search , enter the complex GQL filter in the search/query field, execute or validate the filter, and then select the star icon to bookmark it. Forcepoint support documentation confirms that administrators can save complex GQL queries by using the star icon, creating a GQL bookmark, and providing an appropriate description.
The other options are incorrect because DSPM does not use an Excel import workflow to load reusable GQL filters from Analytics or Enterprise Search. Administration is also not the documented location for saving Enterprise Search GQL bookmarks. References/topics: Enterprise Search, GQL Filtering, Bookmarked Filters, Exporting Data, Reusable Search Workflows .
NEW QUESTION # 15
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 # 16
Place the following steps in the correct order to add a user to Forcepoint DSPM.
Answer:
Explanation:
Explanation:
Correct order: 3 # 2 # 6 # 5 # 4 # 1
* Navigate to Administration > User Management .
* Set realm to gv .
* Select Users , then Add user .
* Fill in the necessary user information.
* Select Join Groups .
* Select Administrators .
Forcepoint DSPM user administration for a standalone deployment is performed through the Keycloak-based user management workflow. The sequence begins by entering the DSPM administration area and opening User Management , which places the administrator in the identity-management context used to control DSPM UI access. The next critical step is selecting the gv realm. Forcepoint documentation specifically instructs administrators to select the gv realm after logging into Keycloak and warns against changing settings in the Master realm, because the DSPM application authorization model is tied to the gv realm rather than the default administrative realm.
After the correct realm is active, the administrator creates the account by selecting Users , choosing Add user
, and entering required identity fields such as username, email, first name, and last name. Once the user object exists, access is completed through RBAC group membership. Forcepoint's RBAC guidance recommends group-based role assignment: navigate to the user, open the Groups area, search/select the appropriate group, and click Join . Selecting Administrators grants the required administrative group membership and resulting DSPM access.
NEW QUESTION # 17
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 # 18
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