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ServiceNow CIS-PA Exam Syllabus Topics:

SectionObjectives
Platform Analytics Overview- Platform Analytics fundamentals
  • 1. Understand the value of Platform Analytics
  • 2. Identify Platform Analytics components
Reporting and Dashboards- Dashboards
  • 1. Use interactive filters
  • 2. Create and configure dashboards
- Reports
  • 1. Create and configure reports
  • 2. Use report types and visualizations
Analytics Hub- Analytics Hub features
  • 1. Understand Analytics Hub capabilities
  • 2. Use Analytics Hub for analysis
Performance Analytics- Indicators and breakdowns
  • 1. Create and configure breakdowns
  • 2. Create and configure indicators
- Data collection jobs
  • 1. Run and schedule data collection jobs
  • 2. Create data collection jobs
Data Collection and Configuration- Collect data
  • 1. Understand data retention
  • 2. Configure data collection
- Configure data sources
  • 1. Configure data source properties
  • 2. Identify available data sources

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q57-Q62):

NEW QUESTION # 57
Choose 2 options.
Which variables are used in aPerformance Analytics scriptwithout being defined in theFieldslist?

Answer: E,F

Explanation:
In Performance Analytics scripted indicators, certainsystem-provided variablesare automatically available without being explicitly defined in the Fields list. The variablesscore_startandscore_endrepresent thestart and end timestampsof the reporting period for which the indicator score is being calculated. These variables are essential for time-aware calculations and historical accuracy.
Fields such as sys_created_on and sys_updated_on must be explicitly added to the Fields list if they are used in scripts. collection_job_start and collection_job_end are not available script variables in indicator calculations. ServiceNow documentation clearly identifies score_start and score_end as built-in variables available to Performance Analytics scripts, making optionsB and Fthe correct answers.


NEW QUESTION # 58
What does the"Allow formula component to be NULL"setting for aFormula Indicatordo?

Answer: A

Explanation:
TheAllow formula component to be NULLsetting controls how a Formula Indicator behaves when one or more component indicators return NULL values. When enabled, the formula continues to calculate using the available components instead of aborting the calculation.
If this setting is disabled and any component returns NULL, the entire formula result becomes NULL. The setting does not automatically convert NULLs to zero, nor does it skip calculation entirely. ServiceNow documentation explains that this option provides flexibility in environments where some component indicators may not have data for every period, ensuring the formula can still produce meaningful results.
Therefore, option D accurately describes the behavior.


NEW QUESTION # 59
What should thetargetfor theIndexand its supporting indicators be set to when creating anIndex Indicator?

Answer: C

Explanation:
AnIndex Indicatorin Platform Analytics represents a composite score calculated from multiple supporting indicators. According to ServiceNow best practices, both theIndex and its supporting indicatorsshould be normalized so thathigher values represent better performance. Therefore, the correct configuration is a target of 100%with aMaximizedirection.
This standardization ensures consistent weighting and scoring logic across all contributing indicators. If supporting indicators were set to Minimize or had inconsistent targets, the index calculation would produce misleading or inverted results. Options involving a 0% target are incorrect because index scores are designed to trend toward full achievement, represented as 100%. ServiceNow documentation clearly states that index indicators assume maximization logic for proper normalization and aggregation, making option D the correct and documented choice.


NEW QUESTION # 60
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 # 61
Which configuration confirms that anAutomated Breakdownis using aBucket Group?

Answer: A

Explanation:
An Automated Breakdown is confirmed to be using aBucket Groupwhen theFacts table of the Breakdown Sourceis set toBucket [pa_buckets]. Bucket Groups define how numeric or duration values are grouped, but the actual bucketed analytics data is stored in thepa_bucketstable during data collection.
The Breakdown Source is responsible for defining where the breakdown facts originate. If its Facts table is pa_buckets, this indicates that the breakdown is based on bucketed values generated by a Bucket Group. The Breakdown record itself does not define the facts table, and default element filters or related list conditions do not establish the use of bucket data.
ServiceNow Platform Analytics documentation clearly states that all bucket-based breakdowns must reference pa_bucketsat the Breakdown Source level, making option C the correct and definitive answer.


NEW QUESTION # 62
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