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ServiceNow CIS-PA Exam Syllabus Topics:

SectionObjectives
Topic 1: Platform Analytics Overview- Platform Analytics fundamentals
  • 1. Understand the value of Platform Analytics
  • 2. Identify Platform Analytics components
Topic 2: Analytics Hub- Analytics Hub features
  • 1. Understand Analytics Hub capabilities
  • 2. Use Analytics Hub for analysis
Topic 3: Data Collection and Configuration- Collect data
  • 1. Understand data retention
  • 2. Configure data collection
- Configure data sources
  • 1. Identify available data sources
  • 2. Configure data source properties
Topic 4: Performance Analytics- Data collection jobs
  • 1. Create data collection jobs
  • 2. Run and schedule data collection jobs
- Indicators and breakdowns
  • 1. Create and configure breakdowns
  • 2. Create and configure indicators
Topic 5: Reporting and Dashboards- Dashboards
  • 1. Use interactive filters
  • 2. Create and configure dashboards
- Reports
  • 1. Use report types and visualizations
  • 2. Create and configure reports

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q34-Q39):

NEW QUESTION # 34
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?

Answer: B

Explanation:
A single Breakdown can be reused across multiple indicators-even when those indicators are based on different facts tables-by creating aseparate Breakdown Mapping for each indicator facts table.
The Breakdown defineswhatis being analyzed, while the Breakdown Mapping defineshowthe indicator facts relate to the breakdown source. Because different facts tables may store data differently, each requires its own mapping configuration. A scripted mapping is only required when no direct relationship exists, not simply because facts tables differ. ServiceNow documentation clearly states that reuse across facts tables is achieved through multiple mappings, making option D the correct answer.


NEW QUESTION # 35
Choose 2 options.
Whichformulaissyntactically CORRECTin ServiceNow Performance Analytics, assuming that allIndicator names are valid?

Answer: A,C

Explanation:
InPerformance Analytics Formula Indicators, indicator references must followstrict syntax rules:
* Indicator names must be enclosed insingle square brackets:[Indicator name]
* Mathematical operators must be valid
* Parentheses must be properly paired
* Curly braces { } and double square brackets [[ ]] arenot validfor indicator references Let's evaluate each option:
* Option A - IncorrectUses indicator nameswithout square brackets, which is invalid syntax.
* Option B - IncorrectUsescurly braces { }, which are not supported for indicator references, and also has ambiguous operator precedence.
* Option C - CorrectUses propersingle square brackets, valid arithmetic operators, and correctly nested parentheses. This is a common and documented formula pattern for calculating percentage improvement against a baseline.
* Option D - CorrectUses valid square-bracket indicator references and proper arithmetic. Even though it is logically redundant, it issyntactically valid, which is what the question asks.
* Option E - IncorrectUsesdouble square bracketsand mismatched braces { ), which is invalid syntax.


NEW QUESTION # 36
Choose 2 options.
Which types ofcalendarsare supported on anIndicator Source?

Answer: A,D

Explanation:
Indicator Sources in Platform Analytics supportStandard calendarsandCustom calendarsto control how data collection aligns with business time definitions. TheStandard Calendaruses regular system time, while Custom Calendarsallow organizations to define business-specific working days, holidays, and schedules.
Fiscal calendars are used for financial reporting but are not supported directly by Indicator Sources. Resource and Docket calendars are unrelated to analytics collection. ServiceNow documentation explicitly states that Indicator Sources rely on standard or custom calendars for accurate time-based aggregation, making optionsB and Ethe correct answers.


NEW QUESTION # 37
Breakdown element security is configured in the properties of which object?

Answer: D

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 # 38
Choose 2 options.
Which variables are used in aPerformance Analytics scriptwithout being defined in theFieldslist?

Answer: B,C

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 # 39
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