Reliable ServiceNow CIS-PA Test Topics | CIS-PA Test Guide

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ServiceNow CIS-PA Exam Overview:

Certification Vendor:ServiceNow
Exam Name:ServiceNow Certified Implementation Specialist – Platform Analytics
Exam Number:CIS-PA
Certificate Validity Period:Requires ongoing maintenance via ServiceNow certification delta exams (periodic renewal)
Real Exam Qty:Approximately 60
Exam Format:Multiple choice, Proctored online exam, Multiple select
Exam Price:USD 300
Related Certifications:ServiceNow Certified System Administrator (CSA)
ServiceNow Certified Implementation Specialist – Performance Analytics
Available Languages:English
Exam Duration:90 minutes
Passing Score:70%
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:

TopicDetails
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
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.
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.

ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q61-Q66):

NEW QUESTION # 61
What is the purpose of using aBucket Group?

Answer: C

Explanation:
ABucket Groupin Platform Analytics is used togroup large sets of numeric or time-based values into a smaller, more meaningful number of ranges. Common examples include grouping ages into ranges (0-5 days, 6-10 days), durations into bands, or hours of the day into segments. This simplifies analysis and improves dashboard readability by reducing excessive breakdown elements.
Bucket Groups do not log incidents, manage roles, or control integrations. Instead, they support analytics by enabling structured classification of non-categorical data. ServiceNow documentation clearly positions Bucket Groups as a mechanism for transforming raw numeric or duration data into consumable breakdowns, making option B the correct answer.


NEW QUESTION # 62
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 # 63
Breakdown element security is configured in the properties of which object?

Answer: C

Explanation:
Breakdown element securitydetermines which users are allowed to see specific breakdown elements (such as certain categories or values) when viewing analytics data. In Platform Analytics, this security is configured directly on theAutomated Breakdownrecord.
Automated Breakdowns include properties that allow administrators to defineelement-level access control, typically by specifyingrolesthat are required to view certain breakdown elements. This ensures sensitive analytics data is only visible to authorized users. The Breakdown Source defines how data is mapped and categorized but does not control visibility. Automated Indicators control score collection and aggregation, not breakdown element security. Manual Breakdowns are static and do not support dynamic element security in the same way.
ServiceNow documentation explicitly states that breakdown element security settings-such as restricting elements by role-are part of theAutomated Breakdown configuration, making option D the correct answer.


NEW QUESTION # 64
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 # 65
When using aBucket Groupas a Breakdown Source, which is the required Breakdown SourceFacts table?

Answer: B

Explanation:
When aBucket Groupis used as a Breakdown Source in Platform Analytics, the requiredFacts tableisBucket
[pa_buckets]. Bucket Groups define how numeric or duration values (such as age, time, or cost ranges) are grouped, but they do not store analytics facts themselves. The actual bucketed values generated during data collection are stored in thepa_bucketstable, which makes it the authoritative facts table for bucket-based breakdowns.
Thepa_bucket_groupstable only stores configuration metadata for bucket definitions. Thesys_choicetable is used exclusively for choice list values and is unrelated to bucket analytics. The Indicator Facts table stores indicator scores but does not contain bucket-level breakdown data. ServiceNow documentation explicitly states that any breakdown based on bucket groups must reference thepa_bucketstable to ensure accurate historical analysis and proper breakdown rendering. Therefore, option C is the only correct answer.


NEW QUESTION # 66
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