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ServiceNow CIS-PA Exam Overview:

Certification Vendor:ServiceNow
Exam Name:ServiceNow Certified Implementation Specialist - Platform Analytics Exam
Exam Number:CIS-PA
Real Exam Qty:60
Exam Duration:90 minutes
Passing Score:Not publicly disclosed
Available Languages:English
Exam Price:$450 USD
Related Certifications:ServiceNow Certified System Administrator (CSA)
Certified Implementation Specialist - Core Platform
Certificate Validity Period:1 year (requires annual delta exam & maintenance fee)
Exam Format:Multiple Select (multiple answers), Multiple Choice (single answer)
Recommended Training:Platform Analytics Fundamentals
Platform Analytics Advanced
Exam Registration:Kryterion Webassessor
ServiceNow Learning
Sample Questions:ServiceNow CIS-PA Sample Questions
Exam Way:Online proctored or onsite at Kryterion test centers
Pre Condition:Recommended: 6 months experience in Platform Analytics implementation; Completion of Administration Fundamentals, Platform Analytics Fundamentals and Advanced courses; No mandatory prerequisite exam
Official Syllabus URL:https://learning.servicenow.com/lxp/en/credentials/certified-application-specialist-performance-analytics-exam?id=kb_article_view&sys_kb_id=160f282693b4b61056aeb94c5cba1013

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ServiceNow CIS-PA 시험요강:

주제소개
주제 1
  • Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.
주제 2
  • 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.
주제 3
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
주제 4
  • Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.
주제 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.

최신 CIS-Platform Analytics CIS-PA 무료샘플문제 (Q26-Q31):

질문 # 26
Which definition describes the functionality of aFormula Indicator?

정답:D

설명:
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.


질문 # 27
Which user should you run Data Collections as?

정답:D

설명:
ServiceNow best practice recommends running Performance Analytics data collections using a dedicated service account specifically created for analytics processing. This ensures consistent permissions, predictable access to data, and improved auditability.
Running collections as individual admins can introduce permission inconsistencies if roles change. The maint account is intended for system upgrades and maintenance, not scheduled analytics jobs. A dedicated Performance Analytics service account minimizes operational risk and aligns with ServiceNow security and governance guidelines.
ServiceNow documentation emphasizes the importance of service accounts for background processing, making option C the correct and recommended choice.


질문 # 28
When areAdditional conditionsof an Indicator evaluated duringData Collection?

정답:D

설명:
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.


질문 # 29
Which application helps to obtain insights onnew and returning platform usersand theirnavigation patterns
?

정답:D

설명:
User Experience Analyticsis the application designed to analyzeuser behavior, including new versus returning users, session frequency, navigation paths, page views, and interaction patterns across the ServiceNow platform. It provides insights into how users engage with the platform and helps organizations optimize usability, adoption, and performance.
Responsive Dashboards and Next Experience Dashboards are visualization and UI frameworks, not behavioral analytics tools. Platform Analytics Workspace focuses on KPI monitoring and process performance, not clickstream or navigation behavior. ServiceNow documentation clearly positions User Experience Analytics as the solution for understanding how users interact with the platform, making option D the correct answer.


질문 # 30
You see this error in aBreakdown Source:

Which action resolves the issue?

정답:C

설명:
In ServiceNow Platform Analytics, aBreakdown Sourceis automatically disabled when the number of generated breakdown elements exceeds themaximum element limitdefined in system properties (for example, properties controlling the maximum allowed breakdown elements during data collection). This safeguard exists to protect system performance and prevent excessive storage and processing during data collection jobs.
When this error occurs, therecommended and documented resolutionisnotto increase the system property arbitrarily. Increasing the global limit can negatively impact performance across all analytics workloads and is discouraged unless there is a strong architectural justification.
Instead, ServiceNow best practice is torefine the Breakdown Source conditions-for example, by adding filters, narrowing scope, or excluding unnecessary records-so that the number of returned elements falls below the configured system threshold. Once the conditions are optimized, you can safely re-enableDC active, and the breakdown will participate in data collection successfully.
Simply re-enabling DC active without reducing elements will cause the breakdown to be disabled again, and deleting/recreating the source does not address the root cause. Therefore,option Dis the correct and fully supported resolution according to ServiceNow Platform Analytics documentation and best practices.


질문 # 31
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