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ServiceNow CIS-PA Exam Syllabus Topics:

SectionObjectives
Performance Analytics- Data collection jobs
  • 1. Create data collection jobs
  • 2. Run and schedule data collection jobs
- Indicators and breakdowns
  • 1. Create and configure indicators
  • 2. Create and configure breakdowns
Analytics Hub- Analytics Hub features
  • 1. Understand Analytics Hub capabilities
  • 2. Use Analytics Hub for analysis
Reporting and Dashboards- Reports
  • 1. Create and configure reports
  • 2. Use report types and visualizations
- Dashboards
  • 1. Create and configure dashboards
  • 2. Use interactive filters
Data Collection and Configuration- Collect data
  • 1. Understand data retention
  • 2. Configure data collection
- Configure data sources
  • 1. Configure data source properties
  • 2. Identify available data sources
Platform Analytics Overview- Platform Analytics fundamentals
  • 1. Understand the value of Platform Analytics
  • 2. Identify Platform Analytics components

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q44-Q49):

NEW QUESTION # 44
What is the default aggregation for the Metric tile in a Data Visualization?

Answer: B

Explanation:
In Platform Analytics data visualizations, the Metric tile is designed to display a single summarized value. By default, the aggregation used for a Metric tile is COUNT. This means the tile displays the total number of records or scores returned by the data source unless the aggregation is explicitly changed by the user.
COUNT is the most commonly used aggregation because Metric tiles are often used to show key headline numbers such as total incidents, open requests, or completed tasks. Other aggregations like AVERAGE, MIN, or SUM are available options, but they must be manually selected during configuration. ServiceNow documentation confirms that COUNT is the default aggregation applied to Metric visualizations, making option A the correct answer.


NEW QUESTION # 45
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?

Answer: A

Explanation:
A single Breakdown can be reused across multiple indicators-even when those indicators are based on different facts tables-by creating aseparate Breakdown Mapping for each indicator facts table.
The Breakdown defineswhatis being analyzed, while the Breakdown Mapping defineshowthe indicator facts relate to the breakdown source. Because different facts tables may store data differently, each requires its own mapping configuration. A scripted mapping is only required when no direct relationship exists, not simply because facts tables differ. ServiceNow documentation clearly states that reuse across facts tables is achieved through multiple mappings, making option D the correct answer.


NEW QUESTION # 46
Where areNext Experience DashboardsandData Visualizationscreated?

Answer: B

Explanation:
Analytics Centeris the workspace used to create and manageNext Experience DashboardsandData Visualizations. It provides a unified interface for building modern, interactive analytics experiences, including metric visualizations, time series, breakdown views, and dashboards.
Analytics Hub is primarily used forviewing and exploring existing analytics, not creating them. Reports Administration and Analytics Administration serve different purposes and do not support Next Experience dashboard creation. ServiceNow documentation explicitly identifies Analytics Center as the creation and management environment for Next Experience analytics content, making option D the correct answer.


NEW QUESTION # 47
Which feature in Platform Analytics enables the sharing of visualizations on any dashboard?

Answer: D

Explanation:
TheVisualization Libraryis the Platform Analytics feature that enables visualizations to be reused and shared acrossany dashboard. When a visualization (such as a time series, scorecard, or breakdown visualization) is saved to the Visualization Library, it becomes areusable analytics componentthat can be added to multiple dashboards without duplicating configuration. This ensures consistency in metrics, reduces maintenance overhead, and supports centralized governance of analytics content.
Dashboard Sharing, by contrast, controlswho can view or edit a dashboard, not how individual visualizations are reused across dashboards. Roles such as pa_kpi_signals_admin or report_admin provide administrative capabilities but do not enable cross-dashboard visualization reuse. According to ServiceNow Platform Analytics documentation, the Visualization Library is specifically designed to store, manage, and distribute analytics visualizations so they can be embedded in dashboards throughout the platform. This feature is essential in enterprise analytics implementations where the same KPIs and indicators must appear consistently across multiple dashboards and user audiences.


NEW QUESTION # 48
What determines thecolor of the scorein aScore widget?

Answer: A

Explanation:
In ServiceNow Platform Analytics, thecolor of the score displayed in a Score widgetis determined by the Indicator's relationship to its targetin combination with theDirection setting(Maximize or Minimize) of the Indicator. This behavior is part of the KPI evaluation logic and is consistent across dashboards and KPI Details.
When an indicator has a defined target, Platform Analytics compares thecurrent scoreagainst that target.
Based on whether the indicator is configured tomaximize(higher is better) orminimize(lower is better), the platform automatically assigns a visual status-such as green (on track), yellow (warning), or red (off track).
This status directly controls thecolor of the score valueshown in the widget.
Chart colors, field styles, or widget-specific settings donotinfluence the score color. Those options may affect line charts or visual styling, but not KPI status coloring. ServiceNow documentation clearly states that KPI status and score coloring are driven bytarget evaluation logic, makingoption Athe correct and verified answer.


NEW QUESTION # 49
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