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ServiceNow CIS-PA Exam Syllabus Topics:

SectionObjectives
Indicators and Data Sources- Indicator configuration
  • 1. Indicator formulas and definitions
    • 2. Breakdowns and breakdown sources
      - Data collection setup
      • 1. Scheduled jobs and data refresh
        • 2. Aggregation and data collection jobs
          Performance Analytics Fundamentals- Key concepts of Performance Analytics
          • 1. Indicators and data collection basics
            • 2. Time series data and scoring concepts
              Goals and Thresholds- Target setting and tracking
              • 1. Thresholds and scoring rules
                • 2. Goal definitions for indicators
                  Dashboards and Widgets- Performance Analytics dashboards
                  • 1. Widget configuration and usage
                    • 2. Dashboard design principles
                      Administration and Implementation- Security and access control
                      • 1. Roles and permissions for PA data
                        - System configuration
                        • 1. Performance Analytics setup and maintenance
                          • 2. Troubleshooting data and reporting issues

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                            ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q55-Q60):

                            NEW QUESTION # 55
                            What configuration setting should be used to run aHistorical Collection Job?

                            Answer: A

                            Explanation:
                            AHistorical Collection Jobis designed to collect past data for a defined historical period and is typically executedone timeoron demand. Unlike scheduled collection jobs (daily, weekly, or monthly), historical jobs are not intended to run repeatedly.
                            ServiceNow documentation specifies that historical collections are initiated manually to backfill data for indicators that were created after records already existed. Running them on a recurring schedule could lead to duplicated or incorrect data. Therefore, the correct configuration isOnce or On Demand, making option A the correct answer.


                            NEW QUESTION # 56
                            Where areNext Experience DashboardsandData Visualizationscreated?

                            Answer: D

                            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 # 57
                            How candashboard filtersretain their values acrosslogins and page refreshes?

                            Answer: B

                            Explanation:
                            Dashboard filters retain their values across page refreshes and user navigation throughsession-based persistence. When this option is enabled, filter selections are stored for the duration of the user's session and automatically reapplied as the user navigates or refreshes the page.
                            Favorites and global defaults define starting values, not persistence behavior. Applying a filter to the entire dashboard controls scope, not retention. ServiceNow documentation explains that session persistence is the mechanism that maintains filter state, making option C the correct answer.


                            NEW QUESTION # 58
                            Which feature in Platform Analytics enables the sharing of visualizations on any dashboard?

                            Answer: C

                            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 # 59
                            What is the purpose of aBreakdown Source?

                            Answer: C

                            Explanation:
                            ABreakdown Sourcedefines how data isclassified into distinct breakdown elementsfor analysis. It identifies the table and field (or script) used to generate the unique values-such as categories, priorities, assignment groups, or buckets-that segment indicator scores.
                            Default element filters are configured on the Breakdown, not the Breakdown Source. Indicators are linked to Breakdowns through Breakdown Mappings, not selected at the source level. While bucket-based sources support non-categorical data, their core purpose remains identifying unique breakdown elements. ServiceNow documentation emphasizes that the Breakdown Source is responsible for definingwhere breakdown values come from and how they are identified, making option C the correct answer.


                            NEW QUESTION # 60
                            ......

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