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| Section | Weight | Objectives |
|---|---|---|
| Ingest | 19% | - Data ingestion and integration
|
| Insight | 11% | - Reporting and visualization
|
| Govern | 35% | - Data governance and lifecycle management
|
| CSDM Fundamentals | 20% | - Common Service Data Model framework
|
| Configuration | 15% | - CMDB architecture and data model
|
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NEW QUESTION # 57
In a company, there is a need to understand theCSDM maturity levelrequired. Different stakeholders listed several use cases they expect over time.
Which use caserequires information objects?
Answer: C
Explanation:
Within theCommon Service Data Model (CSDM),information objectsare used to representnon-CI data entitiesthat provide important business or governance context but are not configuration items themselves.
These objects are especially important when extending service visibility beyond pure infrastructure and application relationships.
The use case described inOption A-understandingasset lifecycle compliance in a Business Application context-explicitly requires information objects. Asset lifecycle data (such as financial state, depreciation, warranty, and compliance milestones) is typically managed in IT Asset Management (ITAM) and must beassociated to Business Applicationswithout converting every asset-related data point into a CI. Information objects enable this linkage while maintaining clean CMDB boundaries.
Option B focuses on event-to-incident automation, which relies onCIs, technical services, and operational relationships, not information objects. Option C (proactive case management) is primarily aCSM and service offeringuse case. Option D (SecOps risk context) relies onapplication services and business application relationships, not information objects. Option E (business service impact) is addressed throughservice modeling and service mapping, again without requiring information objects.
Information objects are introduced as organizations mature and need to integrategovernance, financial, or compliance datawith service and application models-making asset lifecycle compliance the correct match.
Therefore, the correct answer isA.
NEW QUESTION # 58
A CMDB Administrator, viewing the CMDB Data Foundations Dashboard, notices the Unique Locations Result percentage is low.
What is the recommended process from the associated playbook to correct this issue?
Answer: B
Explanation:
In Data Foundations, a low "Unique Locations" result indicates the CMDB contains duplicate Location records (or inconsistent location usage) that reduce data reliability for operational reporting and service analytics. This sits under "Insight" because the dashboard is highlighting a measurable quality issue, and the playbook provides a structured remediation path to restore confidence.
The recommended playbook-aligned process is to review the duplicate locations, determine which one is correct per the organization's naming and data standards, then re-point dependent records (CIs) to the correct Location before removing the duplicate. That sequence is essential: if you delete a duplicate location without first updating related CIs, you risk leaving CIs with missing/invalid location references, creating new completeness and correctness issues.
Option C matches best practice: validate which location record should remain, update all affected CIs (and any other dependent records) to use the correct location, and then delete (or retire/merge, depending on process controls) the duplicate record. Option B is risky because it skips validation and dependency updates.
Option D defeats the purpose of "Unique Locations" by allowing ongoing inconsistency. Option A is not the best fit because "Duplicate CI Remediator" is oriented toward CI duplicates; Location is typically a reference
/organization data domain and is handled through the specific remediation steps for that data set. Therefore, C is the recommended process.
NEW QUESTION # 59
The CMDB Administrator has set up two Dynamic Reconciliation Rules within the ServiceNow Production Instance. The 'Server' class has a Dynamic Reconciliation Rule of largest value for the RAM field. The 'Windows Server' class has a Dynamic Reconciliation Rule of most reported for the RAM field.
Given the above data inMultisource CMDB, which value is added to the CMDB forRAMfor aServer CI?
Answer: A
Explanation:
This question hinges on understandingclass-specific Dynamic Reconciliation RulesinCMDB 360 / Multisource CMDBwithinServiceNow.
Although two different dynamic rules are configured,the rule applied depends on the CI class being evaluated:
For theServerclass, the configured rule isLargest valuefor the RAM attribute.
For theWindows Serverclass, the ruleMost reportedwould apply-butonly if the CI were evaluated as a Windows Server.
The question explicitly asks for the resulting RAM value for aServer CI, not a Windows Server CI. Therefore, theLargest valuerule governs the outcome.
Looking at the multisource values:
2,048 MB (LANDesk)
4,096 MB (Tivoli)
4,096 MB (ServiceNow)
8,192 MB (Altiris)
Under theLargest valuedynamic reconciliation rule, the IRE selects themaximum numeric value, regardless of how frequently it is reported or which source provided it.
TheMost reportedlogic (which would result in 4,096 MB) doesnot applyhere because that rule is configured for a different class (Windows Server).
This scenario illustrates an important CMDB 360 principle:Dynamic reconciliation is evaluated per class, and child-class rules do not override parent-class rules unless the CI is actually classified under that child class.
NEW QUESTION # 60
A CMDB Administrator needs to import external data into the CMDB. To reduce the risk of creating duplicates and prevent updates from unauthorized sources, it must be ensured that the Identification and Reconciliation Engine (IRE) is not bypassed.
What is the recommended method to import data into the CMDB utilizing the Identification and Reconciliation API?
Answer: B
Explanation:
In ServiceNow, protecting CMDB data quality during ingestion is a core Data Foundations principle. The Identification and Reconciliation Engine (IRE) is designed to ensure that CI records are uniquely identified, merged correctly, and protected from unauthorized overwrites. Any ingestion method that bypasses IRE introduces a high risk of duplicates and data corruption.
IntegrationHub ETL is the recommended method because it is natively designed to work with the Identification and Reconciliation API. When properly configured, IntegrationHub ETL ensures that incoming data is processed through IRE, applying identification rules, reconciliation rules, and source precedence. This allows multiple data sources to coexist safely while maintaining CMDB integrity.
NEW QUESTION # 61
A CMDB Configuration Manager is reviewing the metrics on the CMDB Health Dashboard -- Correctness Scorecard for the Server class, which consists of 60,000 servers in the CMDB.
For the Duplicate metric, it shows Healthy CIs / Evaluated = 59,000 / 60,000 For the Orphan metric, it shows Healthy CIs / Evaluated = 45,000 / 50,000 Which configuration explains the difference in the scope of Server CIs evaluated (60,000 vs
50,000) between the two metrics?
Answer: B
Explanation:
In ServiceNow, each CMDB Health metric can independently define which CIs are in scope for evaluation. This scoping is controlled primarily through Health Inclusion Rules, not CMDB Groups.
In this scenario, the Duplicate metric evaluates all 60,000 Server CIs, indicating no inclusion rule is restricting its scope. In contrast, the Orphan metric evaluates only 50,000 Server CIs, which means 10,000 servers are intentionally excluded from that metric's evaluation.
This difference is explained by a Health Inclusion rule configured specifically for the Orphan metric on the Server class. Health Inclusion rules allow administrators to define conditions--such as lifecycle state, environment, discovery source, or operational status--that determine whether a CI should be included in a specific health calculation. For example, retired servers or servers in build states may be excluded from orphan checks.
CMDB Groups are not used by the CMDB Health Engine to determine metric scope; they are used for reporting, assignment, and operational grouping. Therefore, Options A and D are incorrect. Option C is also incorrect because the Duplicate metric clearly evaluates the full population of 60,000 servers.
NEW QUESTION # 62
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