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ServiceNow CIS-PA Exam Syllabus Topics:

TopicDetails
Topic 1
  • Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.
Topic 2
  • Data Visualization: This section focuses on presenting data through widgets, interactive filters, appropriate visualizations, dashboards, and analyzing data using Analytics Hub and KPI Details.
Topic 3
  • 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 4
  • 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 5
  • Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.
Topic 6
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q40-Q45):

NEW QUESTION # 40
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 # 41
Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?

Answer: C

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 # 42
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 # 43
Which statement describesPerformance Analytics Spotlight?

Answer: B

Explanation:
Performance Analytics Spotlightis a feature that provides aranked list of recordsbased onmultiple weighted conditions, helping users focus on the most critical records that require attention. Spotlight differs from traditional reports and time-series analytics because it evaluates records dynamically using scoring logic rather than historical aggregation.
Option A describes dashboard visualizations such as time series or scorecards. Option B refers to record views, not analytics. Option D describes Performance Analytics indicators, which track trends over time.
ServiceNow documentation clearly defines Spotlight as a prioritization tool that ranks records using configurable rules and weights, making option C the correct and complete description.


NEW QUESTION # 44
What should thetargetfor theIndexand its supporting indicators be set to when creating anIndex Indicator?

Answer: B

Explanation:
AnIndex Indicatorin Platform Analytics represents a composite score calculated from multiple supporting indicators. According to ServiceNow best practices, both theIndex and its supporting indicatorsshould be normalized so thathigher values represent better performance. Therefore, the correct configuration is a target of 100%with aMaximizedirection.
This standardization ensures consistent weighting and scoring logic across all contributing indicators. If supporting indicators were set to Minimize or had inconsistent targets, the index calculation would produce misleading or inverted results. Options involving a 0% target are incorrect because index scores are designed to trend toward full achievement, represented as 100%. ServiceNow documentation clearly states that index indicators assume maximization logic for proper normalization and aggregation, making option D the correct and documented choice.


NEW QUESTION # 45
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