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ServiceNow CIS-PA Exam Syllabus Topics:

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

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q23-Q28):

NEW QUESTION # 23
Which Breakdown should be excluded from the Historical Data Collection job configured for the indicator Number of open and overdue incidents?

Answer: D

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 # 24
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 # 25
What is the purpose of using aBucket Group?

Answer: D

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 # 26
Which statements describe the respective Performance Analytics object behavior?

Answer: A,D

Explanation:
In ServiceNow Performance Analytics,Indicator SourcesandIndicatorsare distinct objects with different responsibilities, and understanding their behavior is essential for correct architecture and deployment.
Option A is correct.
Indicator Sources definehowandwhen raw data is queried, but they can be reused by multiple data collection jobs. Even if an Indicator Source is configured with aMonthly frequency, it can still be executed by aDaily data collection job. The job frequency controls execution timing, not the source frequency itself. This reuse is a documented performance optimization in Platform Analytics.
Option C is correct.
TheIndicator frequency is independent of the Indicator Source frequency. For example, an Indicator Source may collect daily raw data, while the Indicator aggregates and stores scores weekly or monthly. This separation allows flexible aggregation strategies and is explicitly supported by Platform Analytics design.
Option B is incorrectbecause Breakdowns require aBreakdown Mapping, but they are not inherently tied only to Automated Indicators, nor is this statement describing object behavior accurately in isolation.
Option D is incorrectbecause Breakdowns can be assigned to an Indicatorbefore or after data collection; they are applied when the next collection runs.


NEW QUESTION # 27
Where should you navigate to activate aPerformance Analytics Content Pack?

Answer: A

Explanation:
Performance AnalyticsContent Packsprovide prebuilt indicators, breakdowns, dashboards, and jobs for specific applications such as Incident, Problem, or Change Management. To activate these packs, administrators navigate toPerformance Analytics > Add Content Pack. This interface lists all available analytics content packs and allows administrators to preview and activate them.
Option A refers to Solution activation, which is unrelated to Performance Analytics content. Option B is used for application plugins, not analytics packs. Option D does not exist as a valid navigation path for Performance Analytics. ServiceNow documentation explicitly identifiesPerformance Analytics > Add Content Packas the correct location to install analytics content, making option C the verified answer.


NEW QUESTION # 28
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