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Which feature in Platform Analytics enables the sharing of visualizations on any dashboard?
A. The pa_kpi_signals_admin role
B. Dashboard Sharing
C. Visualization Library
D. The report_admin role
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 # 36
Which role allows forcreating Indicators and DashboardsbutnotmanagingData Collection jobs or Indicator Sources?
A. PA Admin
B. PA Contributor
C. PA Power User
D. PA Data Collector
Answer: B
Explanation:
ThePA Contributorrole is designed for users who create and configureIndicators, Breakdowns, and Dashboards, but who should not have administrative control overdata collection jobs, indicator sources, or system-level analytics settings.
PA Admin has full control, including job and source management. PA Data Collector is focused on executing collection jobs only. PA Power User is primarily for analysis and dashboard consumption rather than content creation. ServiceNow documentation defines PA Contributor as the correct role for content creation without administrative privileges, making optionBcorrect.
NEW QUESTION # 37
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?
A. Create a separate breakdown record for each indicator facts table
B. Create a separate breakdown mapping for each indicator facts table
C. Create a mapping script to define the relationship between the indicator facts tables and the breakdown source
D. Configure the indicators to use the same indicator source
Answer: B
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 # 38
Choose 2 options.
Whichformulaissyntactically CORRECTin ServiceNow Performance Analytics, assuming that allIndicator names are valid?
A. ((Number of new critical incidents)) / ((Number of new incidents)) * 100
B. 100 - ((([Average resolution time of resolved incidents] - 17.5) / 17.5) * 100)
C. [[Number of new incidents]] / ({Number of new incidents)} * 100
D. [Number of new incidents] / [Number of new incidents] * 100
E. 100 - {Average resolution time of resolved incidents} - 17.5 / 17.5 * 100
Answer: B,D
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 # 39
When areAdditional conditionsof an Indicator evaluated duringData Collection?
A. Before the Indicator Source conditions
B. After the Indicator Source conditions
C. At the same time as the Indicator Source conditions
D. When the Indicator is viewed in the Analytics Hub
Answer: B
Explanation:
During data collection, Platform Analytics first applies theIndicator Source conditionsto retrieve the base dataset. Once the source data is identified, the system then evaluates theAdditional conditionsdefined on the Indicator itself.
This separation allows indicator-specific filtering without duplicating logic in the indicator source, supporting reuse and performance optimization. Additional conditions do not run in parallel with source conditions and are not evaluated at visualization time. ServiceNow documentation explicitly explains that Indicator conditions refine the datasetafterthe source query executes, making option D the correct answer.
NEW QUESTION # 40
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