DSPM- Deploy-and-Administer Practice Questions

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.

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 .

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 .

The correct selections are Rule-Based Automation, Incident Management, Webhook Notification System, and Workflow Configuration Tool . Forcepoint DSPM Controls Orchestration is built around rules that identify data requiring attention and can trigger notifications or automated responses. The official documentation describes Controls Orchestration as providing “automated work flows, rule-based detection, timely notifications, and efficient incident management,” which directly maps to these four options.

Rule-Based Automation is represented by custom rules that evaluate datasets such as files, trustees, or agent activities using GQL conditions. Workflow Configuration Tool is reflected in the rule-building process under Policy Center > Controls Orchestration , where administrators create rules, define ownership, select the asset, configure conditions, and enable the rule.

Webhook Notification System is valid because orchestration rules can send notifications outside Forcepoint DSPM, and webhook functionality sends HTTP requests to a configured callback endpoint when a defined condition is met. Incident Management is also core because each rule is automatically added as a card in the Incidents tab, linking detected conditions to operational review and response. Rule-Based Remediation is not the best answer here because remediation is an outcome of automated response workflows, not the named key feature in this option set. References/topics: Controls Orchestration, GQL Rules, Webhooks, Incidents, Policy Center .

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 .