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| Section | Objectives |
|---|---|
| Topic 1: Performance Analytics Fundamentals | - Key concepts of Performance Analytics
|
| Topic 2: Indicators and Data Sources | - Data collection setup
|
| Topic 3: Goals and Thresholds | - Target setting and tracking
|
| Topic 4: Dashboards and Widgets | - Performance Analytics dashboards
|
| Topic 5: Administration and Implementation | - System configuration
|
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NEW QUESTION # 11
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?
Answer: D
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 # 12
When areAdditional conditionsof an Indicator evaluated duringData Collection?
Answer: D
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 # 13
Which data is loaded when you view aPerformance Analytics Dashboard?
Answer: D
Explanation:
When a Performance Analytics dashboard is opened, ServiceNow loadsonly the widgets configured on the currently active tab. Widgets on other tabs are not loaded until the user clicks those tabs. This behavior is intentional and supportsperformance optimization, especially for dashboards containing many analytics widgets or complex queries.
Widgets are not limited by view rules alone, and ServiceNow does not preload widgets from all tabs.
Additionally, widgets that require scrolling are still loaded as long as they are part of the active tab.
ServiceNow documentation confirms that dashboard widgets are loadedper tab, reducing unnecessary data processing and improving load times. Therefore, option A is the correct and documented behavior.
NEW QUESTION # 14
What is the purpose of aBreakdown Source?
Answer: A
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 # 15
A filtered Time Series widget shows individual trends for the number of open incidents with High and Critical priorities.
Which action configures the Responsive Canvas Dashboard to show acombined trendfor the Critical and High-priority incidents?
Answer: D
Explanation:
In Responsive Canvas dashboards, when a Time Series widget contains multiple elements, theShow multiple elements asproperty controls how those elements are visualized. Setting this property toAggregatecombines the values of all returned elements into asingle trend line, which is exactly the desired outcome when viewing a combined trend for High and Critical priority incidents.
Applying an elements filter (option D) limits which elements are displayed but does not combine them into one trend. Setting the property toSeparate(option C) explicitly shows individual trend lines for each element.
Manually adding elements (option B) still results in multiple distinct series unless aggregation is enabled.
According to ServiceNow Platform Analytics documentation, aggregation is the correct method for consolidating multiple indicator elements into one unified visualization on a dashboard.
NEW QUESTION # 16
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