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| Section | Objectives |
|---|---|
| Topic 1: Deployment and Installation | - Standalone DSPM deployment workflow - Initial setup and configuration - System requirements and prerequisites |
| Topic 2: Monitoring, Analytics, and Reporting | - Dashboards and analytics widgets - Scan progress and risk visibility - Data lineage and compliance monitoring |
| Topic 3: Forcepoint DSPM Architecture and Overview | - Deployment models (cloud / standalone) - DSPM system components and platform overview |
| Topic 4: Data Sources and Integration | - SIEM and external integrations - Configuring data sources - Database discovery and structured data scanning - Streaming and event integration |
| Topic 5: Data Classification and Detection | - Pattern matching and classification models - Taxonomy and labeling mechanisms - Detectors and detector groups |
| Topic 6: Administration and User Management | - Role-based access control (RBAC) - User synchronization and management - User federation and Active Directory integration |
>> Valid DSPM-Deploy-and-Administer Exam Topics <<
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NEW QUESTION # 17
Which of the following is a key benefit of defining a custom data taxonomy?
Answer: B
Explanation:
The correct answer is D. Enhances data security . In Forcepoint DSPM, taxonomy is the structured classification model used to assign sensitivity meaning to discovered data. Forcepoint describes taxonomy as a machine-learning-based structured classification system that assigns sensitivity levels such as Confidential , General Business , Public , and Highly-Confidential . This classification directly corresponds to the Classification column in scan results, allowing security and governance teams to understand how sensitive a file or data asset is after scanning.
A custom taxonomy improves security because it lets an organisation align DSPM classification labels with its own internal data-handling rules, security protocols, and business language. Forcepoint notes that taxonomy customization ensures data handling aligns with an organisation's security protocols, and that applied tags are visible in the Data Asset Inventory . In the administration taxonomy workflow, Forcepoint also explains that predefined AI Mesh tags can be supplemented with custom tags for pattern matching and detection rules, and those tags can be mapped to data-source taxonomies for label writeback.
The other options describe possible operational goals but not the primary purpose of taxonomy. Taxonomy is not an authentication mechanism, deduplication feature, or storage-reduction tool. References/topics:
Taxonomy, Classification Tags, AI Mesh, Pattern Matching, Data Asset Inventory, Compliance Hub .
NEW QUESTION # 18
When creating a Detector, which field allows you to exclude specific criteria from the search?
Answer: A
Explanation:
The correct answer is A. Not contain . In Forcepoint DSPM, detector creation uses inclusion and exclusion logic to control what should trigger a detector match. The Contain field defines the positive match criteria:
the keywords, phrases, regular expressions, extensions, or path terms that the detector should search for. The Not Contain field provides the negative condition: terms or criteria that should be ignored even when the broader detector logic would otherwise match.
Forcepoint's DSPM documentation for Content Detectors states that if there are terms the detector should ignore, they are set in the Not Contain field. The same concept appears in Path Detectors , where administrators define the search method, populate Contain with triggering terms, and then use Not Contain to exclude terms from matching.
This matters operationally because detectors can otherwise generate excessive or misleading matches. For example, a detector looking for payroll-related content may include "salary" or "compensation" in Contain , while excluding harmless template, archive, or test terms in Not Contain . Not Add , Except , and Exclude are not the documented detector-configuration field names. References/topics: Administration > Detectors, Content Detectors, Path Detectors, Contain/Not Contain logic, AI Mesh detector contribution .
NEW QUESTION # 19
Which of the following are key features of Controls Orchestration in Forcepoint DSPM? Select four.
Answer: A,B,C,D
Explanation:
The correct selections are Rule-Based Automation, Incident Management, Webhook Notification System, and Workflow Configuration Tool . Forcepoint DSPM Controls Orchestration is built around rules that identify data requiring attention and can trigger notifications or automated responses. The official documentation describes Controls Orchestration as providing "automated work flows, rule-based detection, timely notifications, and efficient incident management," which directly maps to these four options.
Rule-Based Automation is represented by custom rules that evaluate datasets such as files, trustees, or agent activities using GQL conditions. Workflow Configuration Tool is reflected in the rule-building process under Policy Center > Controls Orchestration , where administrators create rules, define ownership, select the asset, configure conditions, and enable the rule.
Webhook Notification System is valid because orchestration rules can send notifications outside Forcepoint DSPM, and webhook functionality sends HTTP requests to a configured callback endpoint when a defined condition is met. Incident Management is also core because each rule is automatically added as a card in the Incidents tab, linking detected conditions to operational review and response. Rule-Based Remediation is not the best answer here because remediation is an outcome of automated response workflows, not the named key feature in this option set. References/topics: Controls Orchestration, GQL Rules, Webhooks, Incidents, Policy Center .
NEW QUESTION # 20
What is the primary purpose of the Scan Status dashboard in Forcepoint DSPM?
Answer: C
Explanation:
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 .
NEW QUESTION # 21
Why is it important to assign a data owner in each department in Forcepoint DSPM?
Answer: C
NEW QUESTION # 22
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