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| Section | Objectives |
|---|---|
| Topic 1: Pattern Matching and Classification | - Sensitive Data Identification - Custom Pattern Creation - Regular Expressions - Classification Policies |
| Topic 2: Detector Configuration | - Path Detectors - Regular Expression Detectors - Keyword Detectors - Detector Testing and Validation |
| Topic 3: Analytics and Dashboards | - Analytic Dashboards - Risk Analysis and Reporting - Enterprise Search - Dashboard Customization |
| Topic 4: Data Discovery and Scanning | - SMB Data Sources - Data Visibility and Monitoring - LDAP Integration - Scan Configuration |
| Topic 5: Controls Orchestration | - Webhook Configuration - Rule Creation and Management - Incident Investigation - Risk Classification |
| Topic 6: Preparing and Deploying Forcepoint DSPM | - DSPM Deployment Architecture - Lab Environment Preparation - User Management Configuration - Data Source Configuration |
| Topic 7: Compliance Hub and Data Register | - Metadata Management - Departments Configuration - Data Asset Inventory - Security Posture Policies |
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NEW QUESTION # 29
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 # 30
Why is it important to assign a data owner in each department in Forcepoint DSPM?
Answer: D
NEW QUESTION # 31
When creating a Security Posture Policy in Forcepoint DSPM, which field uses a GQL query to identify the data asset?
Answer: B
Explanation:
The correct answer is C. Data Mapping . In Forcepoint DSPM, Security Posture Policies are used to define and govern critical business data assets, often referred to as crown-jewel data. Each policy represents a managed data asset associated with a department, owner, and query-based definition. The Data Mapping field is where the administrator enters or edits the GQL query that identifies which files or records belong to that data asset. Forcepoint's documentation explicitly lists Asset Name , Department , Data Owner , and Data Mapping as required Security Posture Policy details, and defines Data Mapping as "a GQL query used to identify the data asset within the DSPM database." This distinction matters because Asset Name is only the business label, Department assigns responsibility to a business unit, and Data Owner identifies the person or group accountable for monitoring and compliance.
The actual technical selection logic is contained in Data Mapping , where GQL can match data across sources such as SMB and SharePoint using query criteria like source and path. References/topics: Policy Center, Data Register, Security Posture Policies, Data Mapping, GQL, Data Asset Inventory .
NEW QUESTION # 32
Anna created a complex GQL query that she plans on using weekly to filter the results and export the data for review. How can she store this query for repeated use?
Answer: D
NEW QUESTION # 33
Which of the following are key configuration components of pattern matching in Forcepoint DSPM? Select two.
Answer: A,E
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 # 34
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