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ServiceNow CIS-PA Exam Syllabus Topics:

Section	Weight	Objectives
Architecture and Deployment	10%	- Platform Analytics solution components - Deployment tasks and sequence - Common use cases - Personas and stakeholders
Data Visualization and Dashboards	25%	- Unified filters and interactions - Performance optimization and access control - Dashboard creation and management - KPI Details analysis and usage - Visualization types and selection
Configure Indicators and Indicator Sources	25%	- Indicator configuration properties - Aggregation scripts creation - Indicator types and differences - Source conditions and facts tables configuration
Data Collection	10%	- Data collection process flow - Collection properties configuration - Fine-tuning and troubleshooting collection jobs
Administration and Advanced Implementation Solutions	5%	- Spotlight configuration and usage - Content packs deployment - Advanced data collection scenarios
Configure Breakdowns and Breakdown Sources	25%	- Breakdown mappings - Breakdown sources configuration - Breakdown matrix and exclusions - Bucket groups configuration - Scripted breakdown mapping

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q12-Q17):

NEW QUESTION # 12
What is the default aggregation for the Metric tile in a Data Visualization?

A. SUM
B. COUNT
C. MIN
D. AVERAGE

Answer: B

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 # 13
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?

A. Configure the indicators to use the same indicator source
B. Create a mapping script to define the relationship between the indicator facts tables and the breakdown source
C. Create a separate breakdown mapping for each indicator facts table
D. Create a separate breakdown record for each indicator facts table

Answer: C

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 # 14
Which scenarios require the use of ascripted Breakdown Mapping?

A. Categorizing requests based on the number of times they were updated
B. Categorizing incidents based on their priority
C. Categorizing incidents based on their category
D. Categorizing the length of time since tasks were updated into age ranges

Answer: A

Explanation:
Ascripted Breakdown Mappingis required when the breakdown value cannot be obtained through adirect field mappingor simple reference relationship. Categorizing requests based onthe number of times they were updatedrequires calculating a value dynamically (for example, counting updates from the audit history), which is not stored as a single field on the record. Because this value must be derived programmatically, a scripted mapping is necessary.
Options B and C use existing fields (category, priority) that can be mapped directly without scripting. Option D usesage ranges, which are handled throughBucket Groupsand thepa_bucketstable, not scripted mappings.
ServiceNow documentation clearly states that scripted mappings are intended forcalculated, derived, or indirect values, making option A the correct answer.

NEW QUESTION # 15
What is the primary function of theanalytics_filter_adminrole inAnalytics Center?

A. To create and customize advanced visualizations across analytics dashboards
B. To manage, edit, or delete any filters on dashboards and add new filters to the filter library
C. To oversee and validate the accuracy of analytics data presented in Breakdowns
D. To define and implement element security permissions on Breakdown Sources

Answer: B

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 # 16
What happens whenCollect recordsis enabled on an Automated Indicator form?

A. An ad-hoc job runs to collect the scores immediately for testing purposes
B. A list of sys_ids is stored during collection to allow drill down to records
C. A preview of the records that match the condition is displayed
D. An exact copy of the matching records is retained for future reference

Answer: B

Explanation:
WhenCollect recordsis enabled on an Automated Indicator, Platform Analytics stores thesys_ids of the recordsthat contributed to each indicator score at collection time. This capability enablesdrill-down functionality, allowing users to view the exact records behind a score directly from analytics widgets and dashboards. Importantly, Platform Analytics doesnot store full copies of records-only the identifiers- ensuring historical accuracy while maintaining storage efficiency.
Option A describes thepreview featureavailable when defining indicator conditions, not record collection.
Option B refers tomanual data collection, which is triggered separately. Option C is incorrect because Platform Analytics does not retain full record snapshots. ServiceNow documentation clearly states that enabling Collect records allows analytics users to drill into the contributing records for any given score, making option D the correct and precise answer.

NEW QUESTION # 17
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