Forcepoint DSPM-Deploy-and-Administer試験過去問 & DSPM-Deploy-and-Administer専門トレーリング

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Forcepoint DSPM-Deploy-and-Administer Exam Syllabus Topics:

SectionWeightObjectives
DSPM Architecture and Deployment20%- Integration with cloud and on-prem environments
- Architecture overview and components
- Deployment planning and requirements
- Installation and configuration
Monitoring, Analytics, and Reporting10%- Analytics and data visualization
- Dashboard creation and customization
- Compliance reporting and audit logs
- Alert configuration and monitoring
Administration and Configuration20%- Policy creation and enforcement
- User and role management
- System settings and maintenance
- Controls orchestration
Data Discovery and Classification25%- Scanner and detector configuration
- Pattern matching and classification rules
- Compliance framework alignment
- Data register and sensitive data mapping
Access Governance and Risk Management15%- Access review and entitlement analysis
- Data access governance policies
- Incident handling and remediation
- Risk scoring and prioritization
Troubleshooting and Maintenance10%- Log analysis and error resolution
- Backup and recovery procedures
- Upgrade and patch management
- System health monitoring

>> Forcepoint DSPM-Deploy-and-Administer試験過去問 <<

DSPM-Deploy-and-Administer専門トレーリング、DSPM-Deploy-and-Administer復習問題集

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Forcepoint Certified Forcepoint DSPM - Professional: Deploy and Administer Exam 認定 DSPM-Deploy-and-Administer 試験問題 (Q26-Q31):

質問 # 26
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?

正解:A


質問 # 27
When creating a Security Posture Policy in Forcepoint DSPM, which field uses a GQL query to identify the data asset?

正解:B

解説:
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 .


質問 # 28
Which of the following are steps in creating a data classification and handling policy? Select four.

正解:B、C、D、E

解説:
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.


質問 # 29
Which of the following statements is true about Forcepoint DSPM pattern matching?

正解:C

解説:
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 .


質問 # 30
Which of the following is NOT a key use case for detectors in Forcepoint DSPM?

正解:B

解説:
The correct answer is A. Encrypting data transfers . Detectors in Forcepoint DSPM are classification and discovery components, not transport-security controls. A detector is used to analyze file content, file paths, attributes, keywords, phrases, regular expressions, and positive or negative match terms so the platform can identify and categorize data during scans. Forcepoint describes Content Detectors as tools that "analyze file content to detect and categorize" based on keywords, phrases, or patterns, making them directly relevant to finding sensitive information.
Detectors also support compliance and breach-prevention outcomes because their findings contribute to the broader DSPM visibility model: identifying where sensitive data exists, how it is classified, and where risk- reduction actions may be needed. Forcepoint describes DSPM as providing visibility and risk remediation across cloud and on-premises environments, and notes that AI technology combined with Detectors and Compliance Hub helps organizations protect sensitive information and maintain regulatory requirements.
Encryption of data transfers, however, is handled by transport protocols, connector configuration, network security controls, or platform security architecture-not by detector logic. Detectors can help discover sensitive data that may require protection, but they do not encrypt traffic. References/topics: Detectors, Content Detectors, AI Mesh, Sensitive Data Discovery, Compliance Hub, Risk Remediation .


質問 # 31
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