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ServiceNow CIS-PA Exam Overview:

Certification Vendor:	ServiceNow
Exam Name:	ServiceNow Certified Implementation Specialist – Platform Analytics
Exam Number:	CIS-PA
Exam Format:	Multiple choice, Multiple select, Proctored online exam
Passing Score:	70%
Available Languages:	English
Exam Duration:	90 minutes
Real Exam Qty:	Approximately 60
Exam Price:	USD 300
Related Certifications:	ServiceNow Certified System Administrator (CSA) ServiceNow Certified Implementation Specialist – Performance Analytics
Certificate Validity Period:	Requires ongoing maintenance via ServiceNow certification delta exams (periodic renewal)
Recommended Training:	ServiceNow Performance Analytics Training (Now Learning)
Exam Registration:	ServiceNow Certification Portal Now Learning (Training & Exam Registration)
Sample Questions:	ServiceNow CIS-PA Sample Questions
Exam Way:	Online proctored exam delivered via ServiceNow-approved proctoring platform (e.g., Kryterion Webassessor)
Pre Condition:	ServiceNow Certified System Administrator (CSA) or equivalent platform experience is recommended
Official Syllabus URL:	https://www.servicenow.com/services/certification.html

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ServiceNow CIS-PA Exam Syllabus Topics:

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

ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q44-Q49):

NEW QUESTION # 44
What can you do in theDashboards moduleof theAnalytics Center?

A. Create, delete, and view Next Experience dashboards
B. Only share and view Next Experience dashboards
C. Create, update, certify, share, and view Next Experience dashboards
D. Only create and view Next Experience dashboards

Answer: C

Explanation:
TheDashboards modulein Analytics Center provides full lifecycle management forNext Experience Dashboards. Users with appropriate permissions cancreate, update, certify, share, and view dashboards from this module.
Certification is an important governance feature that marks dashboards as trusted and production-ready.
Sharing controls access, while update and creation enable continuous improvement. Viewing alone is insufficient for analytics governance. ServiceNow documentation clearly defines the Dashboards module as the central place for full dashboard management, making optionDthe correct answer.

NEW QUESTION # 45
There is a Summed Duration of wait time Indicator that stores duration in milliseconds.
Which action accurately configures the displayed duration in hours without creating a separate Formula Indicator?

A. Use the API method getHours() in the Formula box
B. Use a Performance Analytics script to convert milliseconds to hours and recollect
C. Add / 3600000 to the Formula box and check Use formula
D. Set the Unit in the Indicator to Hours

Answer: D

Explanation:
Platform Analytics supports unit conversion for duration-based indicators through the Unit field on the Indicator record. When an indicator stores duration values (such as milliseconds), setting the Unit to Hours automatically converts and displays the values correctly without modifying the underlying data or recollecting scores.
Using formulas or scripts is unnecessary and discouraged when a built-in unit conversion is available. The Formula box is intended for mathematical aggregation logic, not unit conversion. ServiceNow documentation explicitly states that duration indicators should rely on the Unit setting to control how values are displayed, making option A the correct and supported approach.

NEW QUESTION # 46
Which statement describesPerformance Analytics Spotlight?

A. A view of the record priority at the current time
B. A ranked list of records based on several weighted conditions
C. A visualization of an indicator score to display on a dashboard
D. A view of the process data captured over a period of time

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 # 47
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?

A. Summed age of open problems
B. Number of new requests
C. Number of open problems not updated in the last 90 days
D. Number of incidents resolved in time

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 # 48
Which Breakdown should be excluded from the Historical Data Collection job configured for the indicator Number of open and overdue incidents?

A. State
B. Category
C. Age
D. Location

Answer: C

Explanation:
Historical Data Collection is intended to accurately reconstruct past indicator scores. Age-based breakdowns must be excluded because age is a time-relative value that cannot be reliably recalculated for historical points in time.
For the indicator Number of open and overdue incidents, breakdowns such as Location, Category, and State can be historically recalculated by evaluating record attributes at specific points in time. However, Age depends on the exact moment of evaluation and changes continuously, making it unsuitable for historical backfilling.
ServiceNow documentation explicitly warns against using age or duration-based breakdowns in historical data collection jobs, as they lead to inaccurate or misleading results. Therefore, option A is the correct and documented exclusion.

NEW QUESTION # 49
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