2026 CIS-PA Valid Exam Sims | High Pass-Rate ServiceNow CIS-PA: Certified Implementation Specialist - Platform Analytics 100% Pass

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ServiceNow CIS-PA Exam Syllabus Topics:

SectionObjectives
Topic 1: Platform Analytics Overview- Platform Analytics fundamentals
  • 1. Understand the value of Platform Analytics
  • 2. Identify Platform Analytics components
Topic 2: Data Collection and Configuration- Collect data
  • 1. Understand data retention
  • 2. Configure data collection
- Configure data sources
  • 1. Configure data source properties
  • 2. Identify available data sources
Topic 3: Analytics Hub- Analytics Hub features
  • 1. Use Analytics Hub for analysis
  • 2. Understand Analytics Hub capabilities
Topic 4: Reporting and Dashboards- Dashboards
  • 1. Create and configure dashboards
  • 2. Use interactive filters
- Reports
  • 1. Create and configure reports
  • 2. Use report types and visualizations
Topic 5: Performance Analytics- Indicators and breakdowns
  • 1. Create and configure breakdowns
  • 2. Create and configure indicators
- Data collection jobs
  • 1. Create data collection jobs
  • 2. Run and schedule data collection jobs

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Authentic ServiceNow CIS-PA Exam Questions with Accurate Answers

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

NEW QUESTION # 15
What is an example of how Platform Analytics can help achieve the goal of reducing IT spending by 10%?

Answer: B

Explanation:
Platform Analytics helps reduce IT spending by enablingcost visibility, trend analysis, and optimization insights. Breaking downincident resolution costsallows organizations to identify high-cost incident categories, inefficient processes, or teams with unusually long resolution times. By correlating cost data with performance indicators, leaders can make data-driven decisions to streamline workflows, reduce rework, and optimize resource allocation.
User satisfaction surveys (option A) provide qualitative feedback but do not directly measure or reduce costs.
Importing asset cost reports (option B) is a reporting or data integration activity, not an analytics-driven optimization approach. Automating password resets (option D) is an operational improvement but does not directly leverage Platform Analytics capabilities. ServiceNow documentation emphasizes that Platform Analytics supportsstrategic objectivessuch as cost reduction by revealing inefficiencies through indicators, breakdowns, and historical trend analysis-making option C the correct answer.


NEW QUESTION # 16
Which property indicates therecommended evaluation datefor a Target?

Answer: D

Explanation:
In Platform Analytics, aTargetdefines the desired performance level for an indicator. TheReview Date property specifies therecommended date to evaluate progresstoward that target. This date is used for governance and performance review purposes, helping stakeholders determine when to assess whether the indicator is trending appropriately toward its goal.
TheBaseline Datemarks the starting point for measurement, while theEnd Datedefines when the target expires or is no longer valid. TheImprovement Dateindicates when improvement efforts begin, not when performance should be evaluated. ServiceNow documentation clearly identifies the Review Date as the point in time when the target's effectiveness and achievement should be assessed, making option D the correct answer.


NEW QUESTION # 17
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?

Answer: B

Explanation:
When creating a breakdown based on theage of a task, the correctFacts tablefor the Breakdown Source is Bucket [pa_buckets]. In Platform Analytics, age-based breakdowns (such as 0-5 days, 6-10 days, etc.) are not derived directly from the Task table. Instead, they usebucketed data, which is generated bybucket groups during data collection.
Thepa_bucketstable stores the calculated bucket values for records at collection time, making it the authoritative facts table for age, duration, and numeric range breakdowns. Bucket Groups define how values are grouped, while the Bucket table stores the actual bucket assignments used in analytics. The Task table itself cannot be used as the facts table for age breakdowns because Platform Analytics requires pre- aggregated, time-aware bucket data to ensure historical accuracy. The Choice table is only used for choice list values and is unrelated to numeric or age-based breakdowns. ServiceNow documentation clearly states that bucket-based breakdowns must reference thepa_bucketstable to function correctly and produce accurate time series analytics.


NEW QUESTION # 18
Which statement describesPerformance Analytics Spotlight?

Answer: A

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 # 19
When areAdditional conditionsof an Indicator evaluated duringData Collection?

Answer: D

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 # 20
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