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| Section | Objectives |
|---|---|
| Deployment and Installation | - System requirements and prerequisites - Standalone DSPM deployment workflow - Initial setup and configuration |
| Administration and User Management | - User federation and Active Directory integration - User synchronization and management - Role-based access control (RBAC) |
| Data Sources and Integration | - Configuring data sources - Streaming and event integration - SIEM and external integrations - Database discovery and structured data scanning |
| Forcepoint DSPM Architecture and Overview | - Deployment models (cloud / standalone) - DSPM system components and platform overview |
| Monitoring, Analytics, and Reporting | - Dashboards and analytics widgets - Data lineage and compliance monitoring - Scan progress and risk visibility |
| Data Classification and Detection | - Pattern matching and classification models - Taxonomy and labeling mechanisms - Detectors and detector groups |
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NEW QUESTION # 13
Which of the following statements is true about Forcepoint DSPM pattern matching?
Answer: C
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 # 14
Why is it important to assign a data owner in each department in Forcepoint DSPM?
Answer: B
NEW QUESTION # 15
Which of the following are steps in creating a data classification and handling policy? Select four.
Answer: B,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
Which field is required when creating Departments in Forcepoint DSPM Compliance Hub?
Answer: C
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 # 17
Which of the following is a key benefit of defining a custom data taxonomy?
Answer: B
Explanation:
The correct answer is D. Enhances data security . In Forcepoint DSPM, taxonomy is the structured classification model used to assign sensitivity meaning to discovered data. Forcepoint describes taxonomy as a machine-learning-based structured classification system that assigns sensitivity levels such as Confidential , General Business , Public , and Highly-Confidential . This classification directly corresponds to the Classification column in scan results, allowing security and governance teams to understand how sensitive a file or data asset is after scanning.
A custom taxonomy improves security because it lets an organisation align DSPM classification labels with its own internal data-handling rules, security protocols, and business language. Forcepoint notes that taxonomy customization ensures data handling aligns with an organisation's security protocols, and that applied tags are visible in the Data Asset Inventory . In the administration taxonomy workflow, Forcepoint also explains that predefined AI Mesh tags can be supplemented with custom tags for pattern matching and detection rules, and those tags can be mapped to data-source taxonomies for label writeback.
The other options describe possible operational goals but not the primary purpose of taxonomy. Taxonomy is not an authentication mechanism, deduplication feature, or storage-reduction tool. References/topics:
Taxonomy, Classification Tags, AI Mesh, Pattern Matching, Data Asset Inventory, Compliance Hub .
NEW QUESTION # 18
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