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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Maintenance | 10% | - System health monitoring - Log analysis and error resolution - Backup and recovery procedures - Upgrade and patch management |
| Monitoring, Analytics, and Reporting | 10% | - Dashboard creation and customization - Alert configuration and monitoring - Analytics and data visualization - Compliance reporting and audit logs |
| Administration and Configuration | 20% | - Policy creation and enforcement - Controls orchestration - User and role management - System settings and maintenance |
| Access Governance and Risk Management | 15% | - Incident handling and remediation - Data access governance policies - Access review and entitlement analysis - Risk scoring and prioritization |
| Data Discovery and Classification | 25% | - Pattern matching and classification rules - Scanner and detector configuration - Compliance framework alignment - Data register and sensitive data mapping |
| DSPM Architecture and Deployment | 20% | - Integration with cloud and on-prem environments - Architecture overview and components - Installation and configuration - Deployment planning and requirements |
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NEW QUESTION # 25
Which of the following describes a use case for Forcepoint DSPM pattern matching?
Answer: D
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 # 26
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 # 27
Which of the following are key configuration components of pattern matching in Forcepoint DSPM? Select two.
Answer: B,D
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 # 28
Why is it important to assign a data owner in each department in Forcepoint DSPM?
Answer: B
Explanation:
Assigning a data owner is important because Forcepoint DSPM treats ownership as a governance and accountability control. The correct answer is C : it ensures clear accountability and responsibility for data management. Data owners are the business stakeholders responsible for understanding the purpose, sensitivity, approved location, access model, and required protections for departmental data assets. Without an assigned owner, security teams may discover risk but lack the business context needed to validate whether exposure, access, retention, or classification is appropriate.
Forcepoint's DSPM release documentation describes Data Ownership as assigning clear ownership to each data asset to ensure accountability and foster responsibility. It also explains that once policies and controls are defined, DSPM can monitor for policy violations and alert the right data owner. This shows why ownership is central to operational response: findings are not just technical alerts; they are routed to accountable stakeholders who can approve, remediate, or explain the data condition.
The other options are incorrect. Data ownership does not restrict file creation by contributors, directly tune detector precision, or independently reduce false positives. Those outcomes depend on access controls, detector configuration, classification logic, and policy tuning. References/topics: Compliance Hub, Departments, Data Asset Inventory, Data Ownership, Controls Orchestration, Policy Violation Response .
NEW QUESTION # 29
Isla wants to create a customized dashboard for the Finance department. Put the following steps in the correct order:
Answer:
Explanation:
Explanation:
4 # 2 # 6 # 5 # 3 # 1
The correct sequence begins with Create new board because a customized dashboard must first be instantiated before any department-specific design or filtering can be applied. Forcepoint's custom dashboard workflow starts in Analytics , where the administrator clicks +NEW BOARD . In the creation dialog, the administrator enters the dashboard Name , Group , and Description , then selects a template and chooses the dashboard layout. This maps directly to steps 4, 2, and 6 .
After the board exists, Isla can structure the dashboard. Forcepoint explains that dashboards are primarily built from panels and widgets : a panel is the organizational container, while widgets display information from selected datasets such as files, trustees, connectors, agents, database objects, or activities. Therefore, panels should be added before widgets so the dashboard has a clean layout framework for Finance-specific metrics.
The final step is applying filters using search strings or filter logic so the dashboard shows only Finance- relevant data. Filters constrain what the dashboard or widget displays, allowing the same analytics framework to focus on a specific department, dataset, risk type, classification, or data source. References/topics:
Analytics, Creating Custom Dashboards, Panels, Widgets, Dashboard Filters, GQL/Search Filtering .
NEW QUESTION # 30
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