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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Breakdowns and Breakdown Sources | 22% | - Breakdown source setup and mapping - Breakdown matrix, exclusions, and bucket groups - Scripted breakdown mappings |
| Topic 2: Targets, Thresholds and Administration | 10% | - Permissions, diagnostics and troubleshooting - Content packs and deployment - Target definition, thresholds, and KPI signals |
| Topic 3: Solutions and Integrations | 7% | - Performance Analytics with ITSM, CSM, HRSD - Platform integration and best practices |
| Topic 4: Configure Indicators and Indicator Sources | 26% | - Indicator types: Automated, Formula, Manual - Indicator source configuration and facts tables - Aggregation scripts and score calculation |
| Topic 5: Data Visualization, Widgets and Dashboards | 23% | - Performance optimization and visualization selection - Dashboard creation, filters, and access control - Widget types: Score, Time Series, Breakdown Matrix |
| Topic 6: Data Collection and Snapshot Management | 12% | - Troubleshooting collection and data quality - Data collector jobs and schedules - Historical snapshots and retention policies |
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NEW QUESTION # 34
When are Additional conditions of an Indicator evaluated during Data Collection?
Answer: B
Explanation:
The correct answer is B. After the Indicator Source conditions, because Performance Analytics first uses the indicator source to establish the eligible dataset and then applies indicator-specific additional conditions during score calculation.
An indicator source defines the underlying facts table, collection frequency, and initial filtering criteria.
Multiple indicators can share the same source to reduce redundant database queries and maintain consistent datasets.
During collection, the data collector retrieves records satisfying the indicator source conditions.
For indicators that specify additional conditions, the collection process evaluates those conditions against the source-qualified records to determine which records contribute to each indicator ' s calculated score.
For example, an indicator source named Incidents.Open might return active incidents.
One associated indicator could count all qualifying incidents, while another might count only incidents with a reassignment count greater than zero.
The second indicator applies its additional condition to the records obtained from the shared indicator source.
ServiceNow ' s data collection documentation identifies additional indicator conditions separately from the source retrieval process. This arrangement enables efficient collection because several indicators can share the same initially retrieved dataset.
The conditions are therefore logically evaluated in sequence: Indicator Source conditions first, followed by Indicator Additional conditions.
ServiceNow+2
References: ServiceNow Performance Analytics - Indicator Sources; Create an Automated Indicator; Additional Conditions; Log Details for Classic Data Collector.
NEW QUESTION # 35
Which of the following statements best describes Performance Analytics Spotlight?
Answer: C
Explanation:
The correct answer is A. A rank list of records based on several weighted conditions, because Performance Analytics Spotlight prioritizes operational records by evaluating multiple business-defined criteria.
Spotlight allows organizations to identify records requiring attention even when their standard priority field does not adequately represent their operational significance.
The application uses Spotlight Groups and Spotlight Criteria.
A Spotlight Group defines the population of records being evaluated, while individual Spotlight Criteria define the conditions used to assign weighted scores.
For example, an organization might evaluate incidents using the following criteria:
* Incident has remained open for an extended period: weight 30.
* Incident has been reassigned multiple times: weight 20.
* Incident affects a business-critical service: weight 40.
An incident meeting all three conditions would receive a combined weight of 90.
Records can then be ranked according to their accumulated Spotlight scores, allowing teams to focus on the most significant items.
Spotlight evaluations are performed through scheduled jobs, and results can be reviewed using Spotlight interactive analyses.
Unlike ordinary priority-based sorting, Spotlight supports multiple weighted criteria and can identify records that otherwise appear relatively unimportant.
It does not simply display an indicator score or historical process trend.
ServiceNow explicitly describes Spotlight as a mechanism for ranking records using multiple weighted criteria.
Therefore, option A is correct.
ServiceNow
References: ServiceNow Performance Analytics - Ranking Records with Spotlight; Spotlight Groups; Spotlight Criteria; Weighted Scoring; Spotlight Interactive Analysis.
NEW QUESTION # 36
Which feature can be used to view all Indicators used by a widget and all of the Tabs a widget appears on?
Answer: D
Explanation:
The correct answer is B. Dependency Assessment, because this feature displays the relationships between classic Performance Analytics components.
Dependency Assessment provides administrators with a hierarchical view of dashboards, dashboard tabs, widgets, indicators, and breakdowns.
It is particularly useful when evaluating the potential consequences of modifying a shared analytics component.
The feature provides two navigation approaches.
Top-down navigation begins with a selected component and identifies the components beneath it. For example, an administrator can examine a dashboard, expand its tabs, and identify the widgets displayed on each tab.
Bottom-up navigation identifies where a selected component is used. The Show Used By action can reveal dashboards and tabs containing a particular widget.
This makes Dependency Assessment useful for impact analysis before modifying or retiring an indicator or widget.
For example, if a widget appears on multiple dashboards, the administrator can identify its dependencies before changing its indicator configuration.
Run Diagnostics identifies configuration errors and warnings rather than displaying complete dependency relationships.
Relationship Viewer is not the designated Performance Analytics dependency-analysis feature.
Widget Indicators does not provide the same comprehensive hierarchical analysis.
ServiceNow ' s current documentation identifies Dependency Assessment as a legacy feature that supports Core UI Performance Analytics components but not newer Platform Analytics data visualizations.
Therefore, B is correct.
References: ServiceNow Performance Analytics - Dependency Assessment; Top-down Tree View; Bottom- up Tree View; Show Used By; Component Impact Analysis.
NEW QUESTION # 37
Select the role that lets you create and configure Indicators and Breakdowns, and manage Data Collection.
Answer: B
Explanation:
The correct answer is B. PA Admin, because the pa_admin role combines the capabilities required to administer indicators, breakdowns, and data collection.
ServiceNow uses role-based permissions to separate analytical development from operational data collection responsibilities.
The pa_power_user role provides permissions to create, read, update, and delete indicators and breakdowns. It also supports widget configuration and related analytics content management.
The pa_data_collector role focuses on collection infrastructure, including indicator sources, breakdown sources, data collection jobs, and related scripts.
The pa_admin role inherits both roles, allowing an administrator to perform these responsibilities within a single administrative role.
The distinctions between the available options are:
* PA Power User: Creates and configures indicators, breakdowns, and widgets.
* PA Admin: Combines analytical configuration permissions with data collection management capabilities.
* PA Data Collector: Manages collection jobs, source definitions, and related data collection components.
* PA Contributor: Maintains scores for assigned manual indicators.
ServiceNow also includes the Diagnostics permission within the pa_admin role hierarchy.
For a user who must create indicators, configure their breakdowns, administer collection jobs, and manage the overall analytics configuration, PA Admin is the appropriate role.
The official ServiceNow Roles documentation confirms this hierarchy.
Therefore, B is correct.
ServiceNow
References: ServiceNow Performance Analytics - Roles; PA Admin Role; PA Power User; PA Data Collector; Performance Analytics Role Hierarchy.
NEW QUESTION # 38
Which of the following statements are true about creating User Experience filters? (Choose three.)
Answer: A,C,D
Explanation:
You can create a single filter for use across all the visualisations in a workspace.
Creating User Experience filters requires admin access.
The filter you create is available in the workspace in which you created it.
For filters to work in workspaces, you must configure an event handler to apply the filters.
NEW QUESTION # 39
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