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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: DSPM Architecture and Deployment | 20% | - Integration with cloud and on-prem environments - Installation and configuration - Deployment planning and requirements - Architecture overview and components |
| Topic 2: Monitoring, Analytics, and Reporting | 10% | - Compliance reporting and audit logs - Analytics and data visualization - Alert configuration and monitoring - Dashboard creation and customization |
| Topic 3: Access Governance and Risk Management | 15% | - Access review and entitlement analysis - Risk scoring and prioritization - Incident handling and remediation - Data access governance policies |
| Topic 4: Administration and Configuration | 20% | - User and role management - Policy creation and enforcement - System settings and maintenance - Controls orchestration |
| Topic 5: Troubleshooting and Maintenance | 10% | - System health monitoring - Upgrade and patch management - Log analysis and error resolution - Backup and recovery procedures |
| Topic 6: Data Discovery and Classification | 25% | - Pattern matching and classification rules - Compliance framework alignment - Scanner and detector configuration - Data register and sensitive data mapping |
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NEW QUESTION # 19
Which of the following describes a use case for Forcepoint DSPM pattern matching?
Answer: B
Explanation:
Forcepoint DSPM pattern matching is used to identify defined pieces of information inside scanned content by applying regular expressions. The documented function is discovery and classification: pattern matching identifies particular information in a document by using RegEx that attempts to match file content. This makes identifying personally identifiable information on SharePoint the correct use case. SharePoint is a supported Microsoft data source for scanning, and Forcepoint specifically documents SharePoint Online as a connector used to scan SharePoint accounts and apply classification tags to files containing sensitive data stored in SharePoint.
The key distinction is that pattern matching does not perform remediation actions such as redaction or encryption. Options B and D therefore overstate the capability: Forcepoint DSPM may discover and classify sensitive data that later informs controls, but the pattern itself is not a redaction or encryption engine. Option A is less precise in this context because the question is testing the canonical pattern-matching use case against scanned documents and repositories, while the strongest documented repository example among the choices is SharePoint. Pattern configuration can also assign classification, compliance, and distribution tags when a RegEx is detected, such as GDPR/PII tagging for identifiers. References/topics: Pattern Matching, RegEx, Compliance Tags, SharePoint Scanning, Sensitive Data Classification .
NEW QUESTION # 20
Which of the following are key configuration components of pattern matching in Forcepoint DSPM? Select two.
Answer: A,C
Explanation:
The correct selections are Regular expressions and Classification tags . In Forcepoint DSPM pattern matching, a pattern is built around a RegEx , meaning the text sequence or structure the system searches for during file scans. Forcepoint defines RegEx as "a sequence or pattern that is searched for in text," and defines a pattern as the RegEx plus the rules associated with its detection. That makes regular expressions the core detection mechanism for custom pattern matching.
Classification tags are also a key configuration component because they define how matching files should be labelled after the pattern is detected. In the Add New Pattern workflow, Forcepoint lists Classifications as a configurable field and describes it as the "Classification tagset value." The same workflow states that selected Classification, Compliance, and Distribution values override machine-learning model output during endpoint suggestions and file scans.
The remaining options are not primary pattern-matching configuration components. Applicable Country is not listed as a core pattern field in the documented pattern workflow. User credentials belong to identity and access management, not detection logic. Data sensitivity keys is not the documented configuration term used for pattern creation. References/topics: Pattern Matching, RegEx Detection, Classification Tags, Compliance Tags, Distribution Tags, Scan Classification Overrides .
NEW QUESTION # 21
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 # 22
Which of the following utilizes artificial intelligence and machine learning when data is scanned?
Answer: B
Explanation:
The correct answer is D. Detectors . In Forcepoint DSPM, detectors are scan-time classification components that can contribute to the broader AI Mesh , now represented in the UI as the Classification Model .
Forcepoint describes the Classification Model as the mechanism that combines detection signals from keyword lists, regex patterns, machine-learning models, and topic classifiers into a pipeline that assigns classification tags such as Confidential , Internal , or Public . It also identifies Detector Groups as nodes that assess file paths and file contents using rule-based logic, including regular expressions and keywords.
This makes detectors the best answer among the listed options because they operate during scanning and feed classification outcomes. Forcepoint's detector documentation states that content detectors analyze file content to detect and categorize documents, and further notes that when a detector group is selected, the detector becomes part of the AI Mesh and contributes to classification results.
The other choices are not the primary AI/ML scan-time component. Patterns are regular-expression rules.
Data mapping defines Data Asset Inventory metadata fields. Compliance Hub manages governance policy artifacts, policy acceptance, reviews, and audit trail functions. References/topics: Detectors, AI Mesh, Classification Model, Content Detectors, Scan Classification Pipeline .
NEW QUESTION # 23
Place the following steps in the correct order to add a user to Forcepoint DSPM.
Answer:
Explanation:
Explanation:
Correct order: 3 # 2 # 6 # 5 # 4 # 1
* Navigate to Administration > User Management .
* Set realm to gv .
* Select Users , then Add user .
* Fill in the necessary user information.
* Select Join Groups .
* Select Administrators .
Forcepoint DSPM user administration for a standalone deployment is performed through the Keycloak-based user management workflow. The sequence begins by entering the DSPM administration area and opening User Management , which places the administrator in the identity-management context used to control DSPM UI access. The next critical step is selecting the gv realm. Forcepoint documentation specifically instructs administrators to select the gv realm after logging into Keycloak and warns against changing settings in the Master realm, because the DSPM application authorization model is tied to the gv realm rather than the default administrative realm.
After the correct realm is active, the administrator creates the account by selecting Users , choosing Add user
, and entering required identity fields such as username, email, first name, and last name. Once the user object exists, access is completed through RBAC group membership. Forcepoint's RBAC guidance recommends group-based role assignment: navigate to the user, open the Groups area, search/select the appropriate group, and click Join . Selecting Administrators grants the required administrative group membership and resulting DSPM access.
NEW QUESTION # 24
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