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ServiceNow CIS-PA Exam Syllabus Topics:

TopicDetails
Topic 1
  • Configure Indicators and Indicator Sources: This domain addresses creating and configuring indicators (performance metrics), including source conditions, fact tables, indicator types, properties, and aggregation scripts.
Topic 2
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
Topic 3
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q15-Q20):

NEW QUESTION # 15
Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?

Answer: A

Explanation:
The pa.getRate() method is used in Platform Analytics to calculaterates of performance over time, such as incidents resolved per day, requests closed per week, or changes per reporting period. This method works on time series dataand applies aggregation logic to derive a rate rather than a raw count or sum.
pa.getChange() is used to calculate the difference between two data points, not a rate. pa.getIndicator() retrieves indicator metadata and does not perform calculations. gs.getDuration() is a general-purpose GlideSystem utility for calculating durations and is unrelated to analytics time series processing. ServiceNow documentation clearly identifies pa.getRate() as the appropriate API for rate-based calculations using historical indicator scores, making option D the correct answer.


NEW QUESTION # 16
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 # 17
When areAdditional conditionsof an Indicator evaluated duringData Collection?

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 # 18
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?

Answer: A

Explanation:
Historic Data Collection is designed to accurately reconstructpast indicator scoresbased on historical records. Indicators that rely oncalculated age values, such assummed age of open problems, cannot be accurately reconstructed because age is atime-relative valuethat depends on the exact moment of calculation.
Count-based indicators (options A, B, and D) can be recalculated historically by evaluating record states at specific points in time. However, summing age values requires knowing the precise age of each record at each historical interval, which is not reliably reproducible. ServiceNow documentation explicitly warns against using historic data collection forage-based and duration-sum indicators, making option C the correct exclusion.


NEW QUESTION # 19
Which definition describes the functionality of aFormula Indicator?

Answer: D

Explanation:
AFormula Indicatorin ServiceNow Platform Analytics allows you to calculate a derived score usingup to five other indicators(automated or manual) through a mathematical expression. These component indicators must already exist and have collected data.
Formula Indicators arenot calculated at view time; instead, they arepre-calculated during data collection and stored like other indicator scores. This ensures consistent historical trending and optimal dashboard performance. Aggregates such as count or sum are handled by automated indicators, not formula indicators.
Formula indicators also cannot referenceindicator threshold values, as thresholds are used only for KPI status evaluation and visualization, not for calculations.
ServiceNow documentation clearly states the five-indicator limit and emphasizes that Formula Indicators are meant forderived metrics, such as percentages, ratios, or normalized scores, making optionBthe only correct definition.


NEW QUESTION # 20
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