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| Section | Objectives |
|---|---|
| Topic 1: Data Sources and Integration | - Database discovery and structured data scanning - SIEM and external integrations - Configuring data sources - Streaming and event integration |
| Topic 2: Administration and User Management | - User synchronization and management - Role-based access control (RBAC) - User federation and Active Directory integration |
| Topic 3: Data Classification and Detection | - Pattern matching and classification models - Detectors and detector groups - Taxonomy and labeling mechanisms |
| Topic 4: Monitoring, Analytics, and Reporting | - Scan progress and risk visibility - Dashboards and analytics widgets - Data lineage and compliance monitoring |
| Topic 5: Deployment and Installation | - Standalone DSPM deployment workflow - System requirements and prerequisites - Initial setup and configuration |
| Topic 6: Forcepoint DSPM Architecture and Overview | - DSPM system components and platform overview - Deployment models (cloud / standalone) |
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NEW QUESTION # 12
Which of the following are key features of Controls Orchestration in Forcepoint DSPM? Select four.
Answer: A,B,D,E
Explanation:
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 .
NEW QUESTION # 13
Which of the following is an option to aid the process of reviewing the incidents generated from triggered rules in Controls Orchestration?
Answer: C
Explanation:
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 .
NEW QUESTION # 14
Which of the following statements is true about Forcepoint DSPM pattern matching?
Answer: D
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 # 15
You can configure your Forcepoint DSPM installation with Active Directory. What third-party product is used to import your AD users?
Answer: B
Explanation:
The correct answer is Keycloak . In Forcepoint DSPM standalone deployments, user authentication and user import workflows are handled through the embedded Keycloak administration console. The official Forcepoint DSPM documentation states that "AD Users are added to Forcepoint DSPM through Keycloak" and then describes the workflow for configuring Keycloak's User Federation capability. The process begins by opening the Keycloak admin console, logging in as an administrator, confirming that the gv realm is selected, navigating to User Federation , and adding an LDAP provider for the Active Directory source.
The distractors map to adjacent but incorrect concepts. User Federation is not the third-party product; it is the Keycloak feature used to connect LDAP or Active Directory identity stores. Kubernetes provides container orchestration and is not responsible for directory import. Rancher is used in platform or cluster management contexts, not AD identity synchronization. Okta can function as an identity provider in many enterprise environments, but it is not the specific product identified in the DSPM AD import workflow.
References/topics: User Management, Keycloak Administration, gv Realm, Active Directory Integration, LDAP Provider, User Federation .
NEW QUESTION # 16
Match each export option with an appropriate use case:
Answer:
Explanation:
Explanation:
Export a Dashboard in PDF format # For analysis by other users
Export a Dashboard in JSON format # To duplicate a dashboard in another Forcepoint DSPM deployment Export Enterprise Search results in CSV format # To import data into a spreadsheet or database Export Enterprise Search results in JSONL format # To import data into a SIEM solution Forcepoint DSPM uses different export formats for different operational purposes. A Dashboard PDF export is intended for human-readable sharing, review, and offline analysis. PDF is best when the dashboard needs to be distributed to managers, auditors, analysts, or department stakeholders who need a static visual report rather than a reusable configuration object. Forcepoint documents dashboard export capability as supporting PDF and JSON export from the dashboard interface.
A Dashboard JSON export preserves the dashboard definition rather than just the visual output. This makes JSON the correct format when the goal is to duplicate or migrate a dashboard into another Forcepoint DSPM deployment, because the dashboard structure, layout, panels, widgets, and configuration can be reused.
For Enterprise Search , CSV is the correct format for spreadsheet or database workflows. CSV is tabular, broadly compatible, and suited for Excel-style analysis, reporting, joins, and external data review. Forcepoint documents Enterprise Search export as producing CSV or JSON downloads of filtered data.
JSONL is most appropriate for SIEM ingestion because each line can represent an individual structured event or record, making it easier for log pipelines and event-processing systems to parse at scale. References/topics:
Analytics Export, Dashboard Export, Enterprise Search Export, CSV, JSON/JSONL, SIEM Integration
.
NEW QUESTION # 17
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