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ServiceNow CIS-PA Exam Syllabus Topics:

SectionObjectives
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
        Indicators and Data Sources- Indicator configuration
        • 1. Breakdowns and breakdown sources
          • 2. Indicator formulas and definitions
            - Data collection setup
            • 1. Scheduled jobs and data refresh
              • 2. Aggregation and data collection jobs
                Dashboards and Widgets- Performance Analytics dashboards
                • 1. Dashboard design principles
                  • 2. Widget configuration and usage
                    Goals and Thresholds- Target setting and tracking
                    • 1. Thresholds and scoring rules
                      • 2. Goal definitions for indicators
                        Performance Analytics Fundamentals- Key concepts of Performance Analytics
                        • 1. Time series data and scoring concepts
                          • 2. Indicators and data collection basics

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                            Free PDF 2026 ServiceNow CIS-PA: High Hit-Rate Valid Certified Implementation Specialist - Platform Analytics Exam Sample

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                            ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q40-Q45):

                            NEW QUESTION # 40
                            Which statements describe the respective Performance Analytics object behavior?

                            Answer: A,C

                            Explanation:
                            In ServiceNow Performance Analytics,Indicator SourcesandIndicatorsare distinct objects with different responsibilities, and understanding their behavior is essential for correct architecture and deployment.
                            Option A is correct.
                            Indicator Sources definehowandwhen raw data is queried, but they can be reused by multiple data collection jobs. Even if an Indicator Source is configured with aMonthly frequency, it can still be executed by aDaily data collection job. The job frequency controls execution timing, not the source frequency itself. This reuse is a documented performance optimization in Platform Analytics.
                            Option C is correct.
                            TheIndicator frequency is independent of the Indicator Source frequency. For example, an Indicator Source may collect daily raw data, while the Indicator aggregates and stores scores weekly or monthly. This separation allows flexible aggregation strategies and is explicitly supported by Platform Analytics design.
                            Option B is incorrectbecause Breakdowns require aBreakdown Mapping, but they are not inherently tied only to Automated Indicators, nor is this statement describing object behavior accurately in isolation.
                            Option D is incorrectbecause Breakdowns can be assigned to an Indicatorbefore or after data collection; they are applied when the next collection runs.


                            NEW QUESTION # 41
                            Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?

                            Answer: C

                            Explanation:
                            The pa.getRate() method is used in Platform Analytics to calculaterates of performance over time, such as incidents resolved per day, requests closed per week, or changes per reporting period. This method works on time series dataand applies aggregation logic to derive a rate rather than a raw count or sum.
                            pa.getChange() is used to calculate the difference between two data points, not a rate. pa.getIndicator() retrieves indicator metadata and does not perform calculations. gs.getDuration() is a general-purpose GlideSystem utility for calculating durations and is unrelated to analytics time series processing. ServiceNow documentation clearly identifies pa.getRate() as the appropriate API for rate-based calculations using historical indicator scores, making option D the correct answer.


                            NEW QUESTION # 42
                            You see this error in aBreakdown Source:

                            Which action resolves the issue?

                            Answer: A

                            Explanation:
                            In ServiceNow Platform Analytics, aBreakdown Sourceis automatically disabled when the number of generated breakdown elements exceeds themaximum element limitdefined in system properties (for example, properties controlling the maximum allowed breakdown elements during data collection). This safeguard exists to protect system performance and prevent excessive storage and processing during data collection jobs.
                            When this error occurs, therecommended and documented resolutionisnotto increase the system property arbitrarily. Increasing the global limit can negatively impact performance across all analytics workloads and is discouraged unless there is a strong architectural justification.
                            Instead, ServiceNow best practice is torefine the Breakdown Source conditions-for example, by adding filters, narrowing scope, or excluding unnecessary records-so that the number of returned elements falls below the configured system threshold. Once the conditions are optimized, you can safely re-enableDC active, and the breakdown will participate in data collection successfully.
                            Simply re-enabling DC active without reducing elements will cause the breakdown to be disabled again, and deleting/recreating the source does not address the root cause. Therefore,option Dis the correct and fully supported resolution according to ServiceNow Platform Analytics documentation and best practices.


                            NEW QUESTION # 43
                            Which user should you run Data Collections as?

                            Answer: D

                            Explanation:
                            ServiceNow best practice recommends running Performance Analytics data collections using a dedicated service account specifically created for analytics processing. This ensures consistent permissions, predictable access to data, and improved auditability.
                            Running collections as individual admins can introduce permission inconsistencies if roles change. The maint account is intended for system upgrades and maintenance, not scheduled analytics jobs. A dedicated Performance Analytics service account minimizes operational risk and aligns with ServiceNow security and governance guidelines.
                            ServiceNow documentation emphasizes the importance of service accounts for background processing, making option C the correct and recommended choice.


                            NEW QUESTION # 44
                            How candashboard filtersretain their values acrosslogins and page refreshes?

                            Answer: C

                            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 # 45
                            ......

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