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NEW QUESTION # 139
A CMDB Administrator wants to start utilizing the CMDB Health Dashboard and its Key Performance Indicators.
What does the Administrator do to start using this dashboard?
Answer: A
NEW QUESTION # 140
A CMDB Configuration Manager intends to implement CMDB Data Manager delete and archive policies for all server records in the New York data center.
In which lifecycle state would servers be affected by these new policies?
Answer: A
Explanation:
Delete and archive policies are designed for end-of-life CMDB lifecycle governance. They should apply to records that are no longer active operational CIs and have reached an appropriate retired state. End of Life - Retired is the correct lifecycle state because it indicates that the CI has completed its useful operational lifecycle and can be governed through archival or deletion according to retention rules. Applying delete or archive policies to Inventory - Available records would be dangerous because those CIs may still be valid and usable. "In any lifecycle state" is wrong because unrestricted archival or deletion can remove active, dependent, or operationally important records. "Missing - Stolen" is more aligned with asset disposition and exception handling, not the standard CMDB Data Manager delete/archive target state. Therefore, these policies should affect servers in End of Life - Retired.
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NEW QUESTION # 141
A CMDB Administrator identifies duplicate CIs. One was created by a manual import, and the other was created by automated discovery. The discovered CI has the latest IP address, while the manually imported CI has an accurate relationship to a critical business application.
How does the Administrator use the Duplicate CI Remediator to resolve this issue?
Answer: A
Explanation:
In ServiceNow, the Duplicate CI Remediator is designed to resolve duplicate records while preserving the most authoritative data from each source. Data Foundations guidance clearly states that automated discovery is the system of record for technical attributes, such as IP address, hostname, and operational status, while manually maintained records often contain valuable business context, such as relationships to business applications or services.
In this scenario, the discovered CI contains the most accurate and up-to-date technical data, making it the correct CI to retain as the primary record. However, the manually imported CI has a critical relationship to a business application, which is essential for impact analysis, incident prioritization, and CSDM alignment. Deleting this CI without preserving the relationship would result in loss of business context and reduced CMDB value.
The Duplicate CI Remediator supports selective merging, allowing administrators to retain one CI while merging specific attributes or relationships from the duplicate. Option C reflects this best practice by retaining the discovered CI and merging the relationship from the manually imported CI, ensuring both technical accuracy and business relevance are preserved.
NEW QUESTION # 142
A CMDB Administrator wants to leverage dynamic reconciliation rules.
Which feature must be enabled?
Answer: D
Explanation:
Dynamic reconciliation rules are tied to CMDB 360 / Multisource CMDB because they depend on visibility into multiple contributing data sources for the same CI. Standard reconciliation rules control which data source is allowed to update specific CI attributes based on source precedence, but dynamic reconciliation adds more advanced logic, such as choosing a value based on source reporting behavior or data comparison rules.
CMDB Workspace and CMDB Data Manager do not enable dynamic reconciliation; they are management and governance interfaces. Reconciliation Rules alone are not the enabling feature because basic IRE reconciliation can exist without the CMDB 360 dynamic reconciliation capability. Therefore, to use dynamic reconciliation rules, CMDB 360 / Multisource CMDB must be enabled.
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NEW QUESTION # 143
Where can an administrator perform Natural Language Queries (NLQ)?
Answer: D
Explanation:
In Data Foundations, the "Insight" topic is about making CMDB and service data easy to discover, understand, and use for operational decisions. Natural Language Queries (NLQ) support this by enabling admins and practitioners to ask questions in plain language (for example, finding specific CIs, services, or relationships) and quickly retrieve relevant results without navigating multiple tables and filters.
NLQ is performed in CMDB Workspace because CMDB Workspace is the primary user experience for exploring configuration data, visualizing relationships, and consuming insights from the CMDB in a guided way. It is designed as the central hub where CMDB users validate CI information, examine dependencies, and use workspace capabilities to troubleshoot and analyze. NLQ fits naturally here: it accelerates discovery and analysis by reducing the need for advanced query building and manual report construction.
The other options are not the correct home for NLQ in the Data Foundations context. The CMDB Health Dashboard is focused on KPIs, completeness, correctness, and compliance scoring-showing what is wrong, not serving as the main interface for free-form natural language exploration. CI Class Manager is used for class modeling and class configuration tasks. CMDB Data Manager is used for governance automation such as lifecycle policies (attestation, archival, deletion) and controlled data operations. Therefore, the correct place for administrators to perform NLQ for CMDB exploration and analysis is CMDB Workspace.
NEW QUESTION # 144
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