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| Section | Objectives |
|---|---|
| Topic 1: Data Classification and Detection | - Taxonomy and labeling mechanisms - Detectors and detector groups - Pattern matching and classification models |
| Topic 2: Data Sources and Integration | - Configuring data sources - Database discovery and structured data scanning - SIEM and external integrations - Streaming and event integration |
| Topic 3: Administration and User Management | - User federation and Active Directory integration - User synchronization and management - Role-based access control (RBAC) |
| Topic 4: Monitoring, Analytics, and Reporting | - Data lineage and compliance monitoring - Scan progress and risk visibility - Dashboards and analytics widgets |
| Topic 5: Forcepoint DSPM Architecture and Overview | - Deployment models (cloud / standalone) - DSPM system components and platform overview |
| Topic 6: Deployment and Installation | - System requirements and prerequisites - Initial setup and configuration - Standalone DSPM deployment workflow |
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NEW QUESTION # 10
Which of the following is NOT a key use case for detectors in Forcepoint DSPM?
Answer: C
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 # 11
You have connected Forcepoint DSPM to your Active Directory using the User Federation configuration.
You confirmed the connection is successful, but users have not synced after some time. Where in the UI would you go to manually initiate a user sync?
Answer:
Explanation:
Explanation:
Select the Actions drop-down in the upper-right corner of the LDAP provider screen, then choose Sync all users or Sync changed users .
Manual synchronization is initiated from the LDAP provider configuration page inside Keycloak User Federation, not from the general DSPM dashboard or from the Users page. The correct UI location is the Actions menu at the upper-right of the LDAP provider screen. In the screenshot, this is the open drop-down containing options such as Sync all users , Sync changed users , Unlink users , and Remove imported . To force synchronization after a successful connection test, choose Sync all users for a full import or Sync changed users when only deltas are required.
Forcepoint DSPM uses Keycloak for Active Directory import. The official DSPM documentation states that AD users are added through Keycloak , with administrators selecting the gv realm, navigating to User Federation , and adding/configuring an LDAP provider. It also identifies synchronization settings such as Import users , Periodic full sync , and Periodic changed users sync as the mechanisms used to bring LDAP users into Keycloak and then into DSPM.
Therefore, the click target is the upper-right Actions drop-down on the LDAP provider page , specifically the sync command within that menu. References/topics: User Federation, LDAP Provider, Active Directory Import, Keycloak gv Realm, Synchronization Settings .
NEW QUESTION # 12
Which field is required when creating Departments in Forcepoint DSPM Compliance Hub?
Answer: B
Explanation:
The correct answer is D. Head of Department . In Forcepoint DSPM Compliance Hub, Departments represent organisational business units such as HR, Finance, or Payment Processing. They are used to mirror the company's functional structure inside the governance workflow so that policies, data assets, ownership responsibilities, and review activities can be aligned to the correct business stakeholders. Forcepoint states that Departments are configured by defining company departments and assigning department representatives, with department heads or business-unit representatives acting as primary points of contact.
The documented workflow for adding a department is explicit: click Add new department , then enter the Department name , Head of Department , and Notify At email address, then save. This makes Head of Department the required field among the options listed. The field is important because department heads receive governance-related notifications and, when they log in, see only the Security Posture Policies and Data Asset Inventory assigned to their department.
The distractors belong to other workflows. Chief Reviewer is not the department-creation field. Group Name relates to user or group administration, not Compliance Hub department definition. GQL data mapping is used for identifying data assets within DSPM policy/data-mapping logic, not for creating a department.
References/topics: Compliance Hub, Departments, Department Representatives, Policy Center, Data Asset Inventory visibility .
NEW QUESTION # 13
Which of the following statements describe real-world application of pattern matching in Forcepoint DSPM?
Select two.
Answer: B,D
Explanation:
The correct answers are B and C . Forcepoint DSPM pattern matching is used to identify specific information inside documents during scans. Forcepoint defines pattern matching as functionality that identifies "particular pieces of information in a document" by using regular expressions that match file content. A credit-card-like numeric string is a direct fit because it represents structured sensitive data that can be detected using a predictable format and then associated with compliance obligations such as PCI-related handling.
Option C is also valid because Forcepoint DSPM supports custom identification of sensitive business data, including intellectual property and trade secrets. A regular expression can be configured to detect proprietary product identifiers, engineering codes, project names, or other technical markers associated with confidential product development. Forcepoint's pattern terminology defines a Pattern as the RegEx plus the rules associated with detection, and allows classification, compliance, and distribution tags to be applied when the pattern is detected.
Options A , D , and E describe general regex use cases outside Forcepoint DSPM pattern matching. They focus on scripting, log parsing, and web-form validation rather than data discovery, classification, and governance. References/topics: Pattern Matching, RegEx, Classification Tags, Compliance Tags, Sensitive Data Discovery .
NEW QUESTION # 14
The Forcepoint DSPM dashboards can simplify which of the following tasks? Select three.
Answer: A,D,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 # 15
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