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ServiceNow CIS-PA Exam Syllabus Topics:

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

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The web-based ServiceNow CIS-PA Practice Exam is compatible with all operating systems, including Mac, Linux, iOS, Android, and Windows. It is a browser-based Certified Implementation Specialist - Platform Analytics (CIS-PA) practice exam that works on all major browsers, including Chrome, Firefox, Safari, Internet Explorer, and Opera. This means that you won't have to worry about installing any complicated software or plug-ins.

ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which scenarios require the use of ascripted Breakdown Mapping?

Answer: B

Explanation:
Ascripted Breakdown Mappingis required when the breakdown value cannot be obtained through adirect field mappingor simple reference relationship. Categorizing requests based onthe number of times they were updatedrequires calculating a value dynamically (for example, counting updates from the audit history), which is not stored as a single field on the record. Because this value must be derived programmatically, a scripted mapping is necessary.
Options B and C use existing fields (category, priority) that can be mapped directly without scripting. Option D usesage ranges, which are handled throughBucket Groupsand thepa_bucketstable, not scripted mappings.
ServiceNow documentation clearly states that scripted mappings are intended forcalculated, derived, or indirect values, making option A the correct answer.


NEW QUESTION # 54
Which configuration confirms that anAutomated Breakdownis using aBucket Group?

Answer: D

Explanation:
An Automated Breakdown is confirmed to be using aBucket Groupwhen theFacts table of the Breakdown Sourceis set toBucket [pa_buckets]. Bucket Groups define how numeric or duration values are grouped, but the actual bucketed analytics data is stored in thepa_bucketstable during data collection.
The Breakdown Source is responsible for defining where the breakdown facts originate. If its Facts table is pa_buckets, this indicates that the breakdown is based on bucketed values generated by a Bucket Group. The Breakdown record itself does not define the facts table, and default element filters or related list conditions do not establish the use of bucket data.
ServiceNow Platform Analytics documentation clearly states that all bucket-based breakdowns must reference pa_bucketsat the Breakdown Source level, making option C the correct and definitive answer.


NEW QUESTION # 55
Breakdown element security is configured in the properties of which object?

Answer: B

Explanation:
Breakdown element securitydetermines which users are allowed to see specific breakdown elements (such as certain categories or values) when viewing analytics data. In Platform Analytics, this security is configured directly on theAutomated Breakdownrecord.
Automated Breakdowns include properties that allow administrators to defineelement-level access control, typically by specifyingrolesthat are required to view certain breakdown elements. This ensures sensitive analytics data is only visible to authorized users. The Breakdown Source defines how data is mapped and categorized but does not control visibility. Automated Indicators control score collection and aggregation, not breakdown element security. Manual Breakdowns are static and do not support dynamic element security in the same way.
ServiceNow documentation explicitly states that breakdown element security settings-such as restricting elements by role-are part of theAutomated Breakdown configuration, making option D the correct answer.


NEW QUESTION # 56
What is thedefault Access Controlfor anew Indicator?

Answer: D

Explanation:
By default, a newly created Platform Analytics indicator isVisible to Just Me, andVisible by All Rolesis set toFalse. This ensures that indicators are private to their creator until explicitly shared.
No role is required by default, and visibility must be intentionally expanded by updating the access control settings. This design supports governance and prevents incomplete or experimental indicators from being exposed prematurely. ServiceNow documentation confirms this default behavior, making option A the correct answer.


NEW QUESTION # 57
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 # 58
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