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| Section | Objectives |
|---|
| Topic 1: Dashboards and Widgets | - Performance Analytics dashboards
- 1. Widget configuration and usage
- 2. Dashboard design principles
|
| Topic 2: 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
|
| Topic 3: Goals and Thresholds | - Target setting and tracking
- 1. Thresholds and scoring rules
- 2. Goal definitions for indicators
|
| Topic 4: Performance Analytics Fundamentals | - Key concepts of Performance Analytics
- 1. Indicators and data collection basics
- 2. Time series data and scoring concepts
|
| Topic 5: 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
|
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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q20-Q25):
NEW QUESTION # 20
What is the primary function of theanalytics_filter_adminrole inAnalytics Center?
- A. To oversee and validate the accuracy of analytics data presented in Breakdowns
- B. To create and customize advanced visualizations across analytics dashboards
- C. To define and implement element security permissions on Breakdown Sources
- D. To manage, edit, or delete any filters on dashboards and add new filters to the filter library
Answer: D
Explanation:
Theanalytics_filter_adminrole is responsible forgoverning dashboard filterswithin Analytics Center. Users with this role cancreate, edit, delete, and manage filters, as well as add filters to thefilter libraryfor reuse across dashboards.
This role does not control visualization design, breakdown security, or data validation. Its purpose is to ensure consistent and controlled use of filters across analytics experiences. ServiceNow documentation explicitly associates this role with filter administration, making option B the correct answer.
NEW QUESTION # 21
Which data is loaded when you view aPerformance Analytics Dashboard?
- A. Only the widgets shown by the current view rule
- B. Only widgets configured on the current tab
- C. All widgets on all dashboard tabs
- D. Only widgets configured on the current tab that are visible without scrolling
Answer: B
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 # 22
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?
- A. Create a mapping script to define the relationship between the indicator facts tables and the breakdown source
- B. Create a separate breakdown mapping for each indicator facts table
- C. Configure the indicators to use the same indicator source
- D. Create a separate breakdown record for each indicator facts table
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 # 23
How candashboard filtersretain their values acrosslogins and page refreshes?
- A. By configuring the filter to apply to the entire dashboard
- B. By applyingsession-based persistence
- C. By setting the filter as a global default
- D. By setting the filter as a Favorite in the user's page settings
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 # 24
What does the"Allow formula component to be NULL"setting for aFormula Indicatordo?
- A. It converts NULL values to zero
- B. It skips the formula calculation if any component is NULL
- C. It allows components to be NULL without aborting the formula
- D. It always returns zero if any component is NULL
Answer: C
Explanation:
TheAllow formula component to be NULLsetting controls how a Formula Indicator behaves when one or more component indicators return NULL values. When enabled, the formula continues to calculate using the available components instead of aborting the calculation.
If this setting is disabled and any component returns NULL, the entire formula result becomes NULL. The setting does not automatically convert NULLs to zero, nor does it skip calculation entirely. ServiceNow documentation explains that this option provides flexibility in environments where some component indicators may not have data for every period, ensuring the formula can still produce meaningful results.
Therefore, option D accurately describes the behavior.
NEW QUESTION # 25
......
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