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| Section | Objectives |
|---|---|
| Topic 1: Detector Configuration | - Detector Testing and Validation - Regular Expression Detectors - Keyword Detectors - Path Detectors |
| Topic 2: Analytics and Dashboards | - Enterprise Search - Dashboard Customization - Risk Analysis and Reporting - Analytic Dashboards |
| Topic 3: Pattern Matching and Classification | - Classification Policies - Custom Pattern Creation - Sensitive Data Identification - Regular Expressions |
| Topic 4: Compliance Hub and Data Register | - Data Asset Inventory - Security Posture Policies - Departments Configuration - Metadata Management |
| Topic 5: Controls Orchestration | - Incident Investigation - Risk Classification - Webhook Configuration - Rule Creation and Management |
| Topic 6: Data Discovery and Scanning | - Scan Configuration - LDAP Integration - SMB Data Sources - Data Visibility and Monitoring |
| Topic 7: Preparing and Deploying Forcepoint DSPM | - DSPM Deployment Architecture - Data Source Configuration - Lab Environment Preparation - User Management Configuration |
>> DSPM-Deploy-and-Administer受験資料更新版 <<
私たちに知られているように、Certified Forcepoint DSPM - Professional: Deploy and Administer Exam高い合格率は、高品質のJpshikenのDSPM-Deploy-and-Administer研究急流を反映しています。 試験に合格した98パーセント以上があり、これらの人々は両方ともForcepointのDSPM-Deploy-and-Administerテストトレントを使用しました。 当社のDSPM-Deploy-and-Administerガイド急流が他の学習教材より高い合格率を持っていることは間違いありません。 高いパスレートがすべての人々にとって非常に重要であることを深く知っているため、常にパスレートを改善するために最善を尽くしています。 現在、合格率は99％に達しました。 学習ツールとしてDSPM-Deploy-and-Administer学習トレントを選択し、慎重に学習した場合、
質問 # 21
Which of the following utilizes artificial intelligence and machine learning when data is scanned?
正解：A
解説：
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 .
質問 # 22
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
解説：
The correct answer is C . Forcepoint DSPM allows frequently used Enterprise Search filters to be saved as bookmarks, which is the appropriate method for Anna's weekly workflow. The documented Enterprise Search capability states that the page lets users access recently used filters, save frequently used filters as bookmarks, customize column headings, and generate meaningful reports. It also supports advanced filtering through GetVisibility Query Language , where a GQL query narrows scanned-file results to a focused, manageable subset for analysis and action.
Operationally, Anna would go to Enterprise Search , enter the complex GQL filter in the search/query field, execute or validate the filter, and then select the star icon to bookmark it. Forcepoint support documentation confirms that administrators can save complex GQL queries by using the star icon, creating a GQL bookmark, and providing an appropriate description.
The other options are incorrect because DSPM does not use an Excel import workflow to load reusable GQL filters from Analytics or Enterprise Search. Administration is also not the documented location for saving Enterprise Search GQL bookmarks. References/topics: Enterprise Search, GQL Filtering, Bookmarked Filters, Exporting Data, Reusable Search Workflows .
質問 # 23
Which of the following statements describe real-world application of pattern matching in Forcepoint DSPM?
Select two.
正解：C、E
解説：
The correct answers are B and C . Forcepoint DSPM pattern matching is used to identify specific information inside documents during scans. Forcepoint defines pattern matching as functionality that identifies "particular pieces of information in a document" by using regular expressions that match file content. A credit-card-like numeric string is a direct fit because it represents structured sensitive data that can be detected using a predictable format and then associated with compliance obligations such as PCI-related handling.
Option C is also valid because Forcepoint DSPM supports custom identification of sensitive business data, including intellectual property and trade secrets. A regular expression can be configured to detect proprietary product identifiers, engineering codes, project names, or other technical markers associated with confidential product development. Forcepoint's pattern terminology defines a Pattern as the RegEx plus the rules associated with detection, and allows classification, compliance, and distribution tags to be applied when the pattern is detected.
Options A , D , and E describe general regex use cases outside Forcepoint DSPM pattern matching. They focus on scripting, log parsing, and web-form validation rather than data discovery, classification, and governance. References/topics: Pattern Matching, RegEx, Classification Tags, Compliance Tags, Sensitive Data Discovery .
質問 # 24
What is the purpose of assigning compliance tags to data patterns in Forcepoint DSPM?
正解：D
解説：
Compliance tags in Forcepoint DSPM are used to associate detected data patterns with regulatory or compliance obligations. The correct answer is B because these tags help the platform identify files and data objects that may fall under privacy, security, or industry-specific regulatory regimes. Forcepoint's pattern- matching terminology defines Compliance as tags that help organizations conform to regulatory regimes, and gives the example of applying tags such as GDPR/PII to a Social Security number pattern so related documents can be identified.
Operationally, this means a pattern is not only detecting a technical string, such as a national identifier, payment card number, or health-related value; it is also attaching compliance meaning to the match. That compliance context can then support classification, filtering, analytics, remediation prioritisation, and audit evidence. Forcepoint also states that when adding a new pattern, selected Classification, Compliance, and Distribution values can override machine-learning model output during scans, making the assigned tags authoritative for scan results.
The other options are adjacent but incorrect. User monitoring and reporting are downstream analytics activities, encryption policy management is not the core purpose of pattern compliance tagging, and user credentials are handled through identity and access management workflows. References/topics: Pattern Matching, Compliance Tags, Classification Model, AI Mesh, Regulatory Data Identification .
質問 # 25
What is the primary purpose of the Scan Status dashboard in Forcepoint DSPM?
正解：D
解説：
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 .
質問 # 26
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