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ServiceNow CIS-PA Exam Syllabus Topics:

Topic	Details
Topic 1	Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.
Topic 2	Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.
Topic 3	Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
Topic 4	Configure Breakdowns and Breakdown Sources: This section covers setting up breakdowns to analyze indicators across different dimensions, including breakdown mappings, matrices, exclusions, scripted mappings, and bucket groups.
Topic 5	Data Visualization: This section focuses on presenting data through widgets, interactive filters, appropriate visualizations, dashboards, and analyzing data using Analytics Hub and KPI Details.

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q27-Q32):

NEW QUESTION # 27
What functionality lets youvisualize indicator data over timein units representing periods such asyear, quarter, and similar fiscal periods?

A. Gregorian Calendars
B. Fiscal Calendars
C. Timecard Calendars
D. Business Calendars

Answer: B

Explanation:
Fiscal Calendarsallow Platform Analytics to aggregate and visualize indicator data usingfiscal periodssuch as fiscal years, quarters, and accounting periods. This is essential for organizations that do not follow standard calendar years for reporting and performance measurement.
Gregorian calendars use standard date boundaries, while Business Calendars define working and non-working time for duration calculations. Timecard calendars are unrelated to analytics aggregation. ServiceNow documentation clearly states that fiscal period-based analysis is enabled through Fiscal Calendars, making optionBthe correct answer.

NEW QUESTION # 28
An Indicator stores the value7423.3.
If thePrecisionis set to0, what is displayed in aScore widget?

A. 7423.3
B. 0
C. 1
D. 7k

Answer: D

Explanation:
In ServiceNow Platform Analytics, thePrecisionsetting controls how numeric values arerounded and abbreviatedwhen displayed inScore widgets. When Precision is set to0, the platform displays values using compact notation(such askfor thousands orMfor millions) withno decimal places.
For a stored value of7423.3, Precision 0 causes the value to be rounded to the nearest thousand and displayed as7k. Platform Analytics does not display the full raw number unless compact notation is disabled or precision is increased. Option B (7000) and option D (7423) represent numeric rounding but not thecompact display formatused by score widgets. Option C is incorrect because Precision 0 explicitly removes decimals and applies abbreviation.
ServiceNow documentation confirms that score widgets useprecision-based compact formatting, making7k the correct displayed value when Precision is set to 0.

NEW QUESTION # 29
Which scenarios require the use of ascripted Breakdown Mapping?

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

Answer: D

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 # 30
What is aBreakdown?

A. It is the ability to group or filter report data
B. It is a choice list of possible attribute values
C. It is a source table for categorization data
D. It is the ability to group or filter indicator scores

Answer: D

Explanation:
In Platform Analytics, aBreakdownis used togroup or filter indicator scoresbased on specific attributes, such as priority, category, assignment group, or age ranges. Breakdowns allow users to analyze how different segments contribute to overall performance and to compare trends across those segments over time.
Breakdowns operate onindicator scores, not on raw report data. While reports can also be grouped or filtered, that functionality is separate from Performance Analytics. A Breakdown does not define the source table itself (that is the role of the Breakdown Source), nor is it merely a choice list. ServiceNow documentation clearly defines Breakdowns as a core analytics concept used to slice indicator data for deeper performance insight, making option D the correct answer.

NEW QUESTION # 31
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?

A. Set theShow multiple elements asproperty toSeparate
B. Apply an elements filter to return High and Critical incidents only
C. Set theShow multiple elements asproperty toAggregate
D. CheckManual elementsand add widget elements for the High and Critical incidents

Answer: C

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 # 32
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