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| Section | Objectives |
|---|---|
| Topic 1: Detector Configuration | - Detector Testing and Validation - Keyword Detectors - Regular Expression Detectors - Path Detectors |
| Topic 2: Compliance Hub and Data Register | - Metadata Management - Security Posture Policies - Data Asset Inventory - Departments Configuration |
| Topic 3: Data Discovery and Scanning | - LDAP Integration - Data Visibility and Monitoring - SMB Data Sources - Scan Configuration |
| Topic 4: Controls Orchestration | - Webhook Configuration - Rule Creation and Management - Risk Classification - Incident Investigation |
| Topic 5: Preparing and Deploying Forcepoint DSPM | - Lab Environment Preparation - Data Source Configuration - User Management Configuration - DSPM Deployment Architecture |
| Topic 6: Analytics and Dashboards | - Enterprise Search - Risk Analysis and Reporting - Dashboard Customization - Analytic Dashboards |
| Topic 7: Pattern Matching and Classification | - Sensitive Data Identification - Custom Pattern Creation - Classification Policies - Regular Expressions |
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問題 #29
Which of the following are actions that can be performed from the Enterprise Search page? Select three.
答案：A,B,E
解題說明：
The correct selections are Revoking user permissions , Exporting reports , and Manually verifying ML classification . The Enterprise Search page is the primary file-level investigation view in Forcepoint DSPM.
It lists scanned and cataloged files, allows filtering through standard filters or GQL, and provides operational actions against the returned results. Forcepoint states that Enterprise Search allows users to filter file data, save frequently used filters, customize columns, and generate meaningful reports. It also provides an EXPORT button that creates a CSV or JSON download of the filtered data.
Revoking permissions is also supported as a data-governance action. Forcepoint documents that administrators can view or modify file permissions and access rights from the file Actions menu, and supporting documentation identifies required permissions for revoke operations in Microsoft repositories.
Manual classification validation is explicitly available from the Enterprise Search hamburger menu.
Forcepoint states that to adjust a file's machine-learning classification, the user selects Manually verify classification , modifies the ML-suggested classification, and saves the change.
The incorrect choices are outside this specific Enterprise Search action set. Moving risky files to a private folder is not the standard named Enterprise Search action in this workflow, and assigned risk is not manually changed from the page. References/topics: Enterprise Search, Exporting Data, Permissions & Access Rights, Manual ML Classification Verification .
問題 #30
What is the primary purpose of the Scan Status dashboard in Forcepoint DSPM?
答案：D
解題說明：
The correct answer is D. To monitor the progress of ongoing data scans . The Scan Status dashboard is used to track scan execution and understand where a scan is in the discovery and classification lifecycle.
Forcepoint's scan analytics documentation describes scan status views that show the current discovery-stage status, last status update, discovered-file count, and detailed scan analytics for a selected data-source configuration. It also explains that the Scan Progress tab shows the selected scan configuration, discovery- stage status, last discovered file time, scan start time, scan number, classification status, and classification timing.
This makes the dashboard operationally useful for administrators who need to verify that scans are running, determine whether discovery or classification is still in progress, and identify whether scan activity has stalled or produced errors. It is not intended to display encrypted files, track department membership, or monitor network traffic. Department-level visibility is handled through Compliance Hub and Data Asset Inventory workflows, while network activity monitoring is outside the scope of the Scan Status dashboard. References
/topics: Dashboard, Scan Status, Scan Analytics, Scan Progress, Discovery Status, Classification Status, Data Source Scanning .
問題 #31
Which of the following is an option to aid the process of reviewing the incidents generated from triggered rules in Controls Orchestration?
答案：C
解題說明：
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 .
問題 #32
Which of the following utilizes artificial intelligence and machine learning when data is scanned?
答案：B
解題說明：
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 .
問題 #33
Which of the following are steps in creating a data classification and handling policy? Select four.
答案：A,B,D,E
解題說明：
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.
問題 #34
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