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ServiceNow CIS-PA Exam Syllabus Topics:

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

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q27-Q32):

NEW QUESTION # 27
InKPI Details, what happens when an indicator isforecasted to hit a future target?

Answer: C

Explanation:
In KPI Details, Platform Analytics usesforecastingto predict whether an indicator is likely to meet its defined target within the specified timeframe. When the forecast shows that the indicator is expected to reach the target, theKPI status is automatically set to "On Track." This status update helps stakeholders quickly assess performance without manual interpretation of trend lines.
Platform Analytics does not automatically create new targets, generate comments, or prompt target owners to change review dates as part of the forecasting process. Those actions remain manual and governed by performance review practices. ServiceNow documentation explains that KPI status reflects the relationship between current performance, targets, and forecasted trends, making option C the correct answer.


NEW QUESTION # 28
What is the purpose of aBreakdown Source?

Answer: B

Explanation:
ABreakdown Sourcedefines how data isclassified into distinct breakdown elementsfor analysis. It identifies the table and field (or script) used to generate the unique values-such as categories, priorities, assignment groups, or buckets-that segment indicator scores.
Default element filters are configured on the Breakdown, not the Breakdown Source. Indicators are linked to Breakdowns through Breakdown Mappings, not selected at the source level. While bucket-based sources support non-categorical data, their core purpose remains identifying unique breakdown elements. ServiceNow documentation emphasizes that the Breakdown Source is responsible for definingwhere breakdown values come from and how they are identified, making option C the correct answer.


NEW QUESTION # 29
What does the"Allow formula component to be NULL"setting for aFormula Indicatordo?

Answer: B

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 # 30
When areAdditional conditionsof an Indicator evaluated duringData Collection?

Answer: B

Explanation:
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.


NEW QUESTION # 31
When using aBucket Groupas a Breakdown Source, which is the required Breakdown SourceFacts table?

Answer: C

Explanation:
When aBucket Groupis used as a Breakdown Source in Platform Analytics, the requiredFacts tableisBucket
[pa_buckets]. Bucket Groups define how numeric or duration values (such as age, time, or cost ranges) are grouped, but they do not store analytics facts themselves. The actual bucketed values generated during data collection are stored in thepa_bucketstable, which makes it the authoritative facts table for bucket-based breakdowns.
Thepa_bucket_groupstable only stores configuration metadata for bucket definitions. Thesys_choicetable is used exclusively for choice list values and is unrelated to bucket analytics. The Indicator Facts table stores indicator scores but does not contain bucket-level breakdown data. ServiceNow documentation explicitly states that any breakdown based on bucket groups must reference thepa_bucketstable to ensure accurate historical analysis and proper breakdown rendering. Therefore, option C is the only correct answer.


NEW QUESTION # 32
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