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ServiceNow CIS-PA Exam Syllabus Topics:

SectionObjectives
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
          Administration and Implementation- System configuration
          • 1. Troubleshooting data and reporting issues
            • 2. Performance Analytics setup and maintenance
              - Security and access control
              • 1. Roles and permissions for PA data
                Indicators and Data Sources- Data collection setup
                • 1. Scheduled jobs and data refresh
                  • 2. Aggregation and data collection jobs
                    - Indicator configuration
                    • 1. Indicator formulas and definitions
                      • 2. Breakdowns and breakdown sources
                        Dashboards and Widgets- Performance Analytics dashboards
                        • 1. Dashboard design principles
                          • 2. Widget configuration and usage

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                            ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q41-Q46):

                            NEW QUESTION # 41
                            Choose 2 options.
                            Whichformulaissyntactically CORRECTin ServiceNow Performance Analytics, assuming that allIndicator names are valid?

                            Answer: C,E

                            Explanation:
                            InPerformance Analytics Formula Indicators, indicator references must followstrict syntax rules:
                            * Indicator names must be enclosed insingle square brackets:[Indicator name]
                            * Mathematical operators must be valid
                            * Parentheses must be properly paired
                            * Curly braces { } and double square brackets [[ ]] arenot validfor indicator references Let's evaluate each option:
                            * Option A - IncorrectUses indicator nameswithout square brackets, which is invalid syntax.
                            * Option B - IncorrectUsescurly braces { }, which are not supported for indicator references, and also has ambiguous operator precedence.
                            * Option C - CorrectUses propersingle square brackets, valid arithmetic operators, and correctly nested parentheses. This is a common and documented formula pattern for calculating percentage improvement against a baseline.
                            * Option D - CorrectUses valid square-bracket indicator references and proper arithmetic. Even though it is logically redundant, it issyntactically valid, which is what the question asks.
                            * Option E - IncorrectUsesdouble square bracketsand mismatched braces { ), which is invalid syntax.


                            NEW QUESTION # 42
                            What is the default aggregation for the Metric tile in a Data Visualization?

                            Answer: A

                            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 # 43
                            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 # 44
                            Which scenario requires ascripted Breakdown Mapping?

                            Answer: A

                            Explanation:
                            Ascripted Breakdown Mappingis required when there isno direct field relationshipbetween the Indicator source data and the Breakdown source table. In such cases, standard field mapping cannot resolve how indicator records should be categorized, so a script is needed to programmatically determine the correct breakdown value.
                            Mapping to a Sys ID field (option B) is supported through standard mappings. Database views (option C) can still be mapped if fields are accessible. Dot-walked fields (option D) are commonly supported without scripting. According to ServiceNow Platform Analytics documentation, scripted mappings are specifically intended forcomplex or indirect relationships, making option A the correct answer.


                            NEW QUESTION # 45
                            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 # 46
                            ......

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