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| Section | Objectives |
|---|---|
| Compliance Hub and Data Register | - Departments Configuration - Security Posture Policies - Metadata Management - Data Asset Inventory |
| Analytics and Dashboards | - Enterprise Search - Dashboard Customization - Analytic Dashboards - Risk Analysis and Reporting |
| Controls Orchestration | - Rule Creation and Management - Risk Classification - Incident Investigation - Webhook Configuration |
| Detector Configuration | - Keyword Detectors - Detector Testing and Validation - Regular Expression Detectors - Path Detectors |
| Preparing and Deploying Forcepoint DSPM | - DSPM Deployment Architecture - User Management Configuration - Lab Environment Preparation - Data Source Configuration |
| Pattern Matching and Classification | - Regular Expressions - Custom Pattern Creation - Classification Policies - Sensitive Data Identification |
| Data Discovery and Scanning | - SMB Data Sources - LDAP Integration - Data Visibility and Monitoring - Scan Configuration |
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27. Frage
Isla wants to create a customized dashboard for the Finance department. Put the following steps in the correct order:
Antwort:
Begründung:
Explanation:
4 # 2 # 6 # 5 # 3 # 1
The correct sequence begins with Create new board because a customized dashboard must first be instantiated before any department-specific design or filtering can be applied. Forcepoint's custom dashboard workflow starts in Analytics , where the administrator clicks +NEW BOARD . In the creation dialog, the administrator enters the dashboard Name , Group , and Description , then selects a template and chooses the dashboard layout. This maps directly to steps 4, 2, and 6 .
After the board exists, Isla can structure the dashboard. Forcepoint explains that dashboards are primarily built from panels and widgets : a panel is the organizational container, while widgets display information from selected datasets such as files, trustees, connectors, agents, database objects, or activities. Therefore, panels should be added before widgets so the dashboard has a clean layout framework for Finance-specific metrics.
The final step is applying filters using search strings or filter logic so the dashboard shows only Finance- relevant data. Filters constrain what the dashboard or widget displays, allowing the same analytics framework to focus on a specific department, dataset, risk type, classification, or data source. References/topics:
Analytics, Creating Custom Dashboards, Panels, Widgets, Dashboard Filters, GQL/Search Filtering .
28. Frage
Which of these is NOT a valid benefit of configuring Data Mapping in Forcepoint DSPM?
Antwort: A
Begründung:
The correct answer is A. Resolves Incident Reporting . Data Mapping in Forcepoint DSPM is a governance configuration capability within Policy Center > Compliance Hub , not an incident-resolution mechanism.
Forcepoint defines Data Mapping, also referred to as Security Posture Policy Controls , as the building blocks for the Data Asset Inventory framework. It allows administrators to define the 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 .
Those functions clearly support the valid benefits in the option set. Data Mapping improves data management by standardizing asset metadata. It enhances compliance by capturing regulatory scope and review-related fields. It also streamlines internal processes by giving departments a consistent structure for documenting ownership, retention, review status, and business context. Forcepoint also notes that only one data mapping configuration is available, so it should be designed generically enough for all departments, reinforcing its role as an enterprise-wide governance framework.
Incident reporting is handled separately through DSPM incident and controls-orchestration workflows. Data Mapping may enrich incident context, but it does not "resolve" incident reporting. References/topics:
Compliance Hub, Data Mapping, Security Posture Policy Controls, Data Asset Inventory, Metadata Governance .
29. Frage
If LDAP searching and updating is set to READ_ONLY mode, which synchronization option becomes irrelevant?
Antwort: D
Begründung:
The correct answer is Sync Registrations . In Forcepoint DSPM, Active Directory users are imported through Keycloak User Federation . The Forcepoint DSPM administration workflow directs administrators to access Keycloak, select the gv realm, navigate to User Federation , and add an LDAP provider for AD integration.
In Keycloak LDAP configuration, READ_ONLY edit mode means Keycloak can read LDAP-backed user data, but it cannot modify mapped LDAP attributes such as username, email, first name, last name, or passwords. Keycloak's own administration guide states that READ_ONLY prevents user attribute changes and password updates, while WRITABLE mode is the mode that allows changes to be synchronized back to LDAP.
That makes Sync Registrations irrelevant in READ_ONLY mode because Sync Registrations is specifically used when newly created Keycloak users should also be added to LDAP. Since READ_ONLY mode prevents Keycloak from writing new or modified user objects back to LDAP, registration synchronization has no useful effect in that configuration. By contrast, Import users , Periodic full sync , and Periodic changed users sync remain relevant because they are read-oriented synchronization mechanisms that bring LDAP/AD identities into DSPM's Keycloak-backed identity layer. References/topics: Keycloak User Federation, LDAP Edit Mode, READ_ONLY Mode, AD Import, Synchronization Settings .
30. Frage
What is the first step in configuring the Data Register in Forcepoint DSPM?
Antwort: A
Begründung:
The first step in configuring the Data Register is Creating Security Posture Policies . In Forcepoint DSPM, the Data Register is the governance workspace where an organization defines and manages its most important data assets, commonly described as "crown jewels." Forcepoint's Data Register structure lists three main areas in order: Security Posture Policies , Data Asset Inventory , and Review Status , making Security Posture Policies the starting point for register configuration.
A Security Posture Policy creates the formal representation of a governed data asset. The documented workflow is to navigate to Policy Center > Data Register > Security Posture Policies , click Add new Security Posture Policy , and define required details such as Asset Name , Department , Data Owner , and Data Mapping using a GQL query.
The other choices are not the first Data Register configuration step. Pattern Matching belongs to detection and classification logic, not Data Register setup. Data Mapping is important, but it is configured under Compliance Hub as the framework for Data Asset Inventory metadata fields. Reviewing policies in the Data Asset Inventory occurs after policies and asset definitions exist. References/topics: Policy Center, Data Register, Security Posture Policies, Data Asset Inventory, Data Mapping, Data Ownership .
31. Frage
Which of the following is an option to aid the process of reviewing the incidents generated from triggered rules in Controls Orchestration?
Antwort: C
Begründung:
The correct answer is B . Forcepoint DSPM Controls Orchestration rules are built around query-driven rule logic. In the rule configuration workflow, administrators select a dataset such as Files , Trustees , or Agent Activities , then configure the rule condition using GQL syntax . This GQL condition defines which records match the rule and therefore which results appear as incidents when the rule is triggered. Forcepoint documentation states that Controls Orchestration rules identify data matching specific criteria and that the Condition field uses GQL syntax to filter the selected dataset.
When reviewing incidents, Forcepoint's Incidents page provides a top-down view of orchestration rules and available match results. Selecting an incident card opens a results preview, and choosing View in the Page displays those matched files in Enterprise Search , where additional review and action options are available.
Enterprise Search is specifically designed to narrow scanned-file results using GetVisibility Query Language
, and Forcepoint notes that GQL filtering helps reduce the result set to a more manageable subset for analysis and action.
Timestamp, Risk type, and keyword filtering may be useful in other contexts, but the documented advanced review mechanism for these results is GQL-based filtering. References/topics: Controls Orchestration, Incidents, Enterprise Search, GQL Filtering, Rule Match Review .
32. Frage
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