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ServiceNow CIS-PA Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
Topic 3
  • Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.
Topic 4
  • 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 5
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.
Topic 6
  • Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q45-Q50):

NEW QUESTION # 45
What is thedefault Access Controlfor anew Indicator?

Answer: B

Explanation:
By default, a newly created Platform Analytics indicator isVisible to Just Me, andVisible by All Rolesis set toFalse. This ensures that indicators are private to their creator until explicitly shared.
No role is required by default, and visibility must be intentionally expanded by updating the access control settings. This design supports governance and prevents incomplete or experimental indicators from being exposed prematurely. ServiceNow documentation confirms this default behavior, making option A the correct answer.


NEW QUESTION # 46
What is the purpose of using aBucket Group?

Answer: B

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

Answer: D

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 user should you run Data Collections as?

Answer: B

Explanation:
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.


NEW QUESTION # 49
What is the primary function of theanalytics_filter_adminrole inAnalytics Center?

Answer: A

Explanation:
Theanalytics_filter_adminrole is responsible forgoverning dashboard filterswithin Analytics Center. Users with this role cancreate, edit, delete, and manage filters, as well as add filters to thefilter libraryfor reuse across dashboards.
This role does not control visualization design, breakdown security, or data validation. Its purpose is to ensure consistent and controlled use of filters across analytics experiences. ServiceNow documentation explicitly associates this role with filter administration, making option B the correct answer.


NEW QUESTION # 50
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