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ServiceNow CIS-PA Exam Syllabus Topics:

Topic
Details

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 Indicators and Indicator Sources: This domain addresses creating and configuring indicators (performance metrics), including source conditions, fact tables, indicator types, properties, and aggregation scripts.

Topic 3

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 4

Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.

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Quiz 2026 ServiceNow Updated CIS-PA: Reliable Certified Implementation Specialist - Platform Analytics Exam Online

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q13-Q18):

NEW QUESTION # 13
Which statements describe the respective Performance Analytics object behavior?

A. Breakdowns require a Breakdown Mapping to be added to an Automated Indicator
B. The frequency of an Indicator can differ from that of an Indicator Source
C. Data collection must be completed before assigning Breakdowns to an Indicator
D. Indicator Sources with a Monthly frequency can still be collected in a Daily job

Answer: B,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 # 14
Which of the following accurately describes howFormula Indicatorsare calculated in ServiceNow?

A. They are calculated in real time but stored as temporary data
B. They are calculated and displayed in real time without being stored
C. They are calculated daily and stored in the main database
D. They are pre-calculated and stored for future use

Answer: D

Explanation:
Formula Indicators in Platform Analytics arepre-calculated during data collectionand their results arestored in the Indicator Facts table, just like automated indicators. They are not calculated in real time when a dashboard is viewed. Instead, they use the previously collected scores of their component indicators to compute a derived value at collection time.
This design ensures consistent historical analysis, predictable performance, and accurate trending. Real-time calculation would undermine historical integrity and dashboard performance, which is why ServiceNow explicitly avoids it for formula indicators. The stored results can then be reused across dashboards and reports without recalculation. ServiceNow documentation clearly states that formula indicators behave like other indicators in that they arepersisted for future analysis, making option C correct.

NEW QUESTION # 15
When areAdditional conditionsof an Indicator evaluated duringData Collection?

A. When the Indicator is viewed in the Analytics Hub
B. Before the Indicator Source conditions
C. At the same time as the Indicator Source conditions
D. After the Indicator Source conditions

Answer: D

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 # 16
What is aBreakdown?

A. It is a choice list of possible attribute values
B. It is a source table for categorization data
C. It is the ability to group or filter report data
D. It is the ability to group or filter indicator scores

Answer: D

Explanation:
In Platform Analytics, aBreakdownis used togroup or filter indicator scoresbased on specific attributes, such as priority, category, assignment group, or age ranges. Breakdowns allow users to analyze how different segments contribute to overall performance and to compare trends across those segments over time.
Breakdowns operate onindicator scores, not on raw report data. While reports can also be grouped or filtered, that functionality is separate from Performance Analytics. A Breakdown does not define the source table itself (that is the role of the Breakdown Source), nor is it merely a choice list. ServiceNow documentation clearly defines Breakdowns as a core analytics concept used to slice indicator data for deeper performance insight, making option D the correct answer.

NEW QUESTION # 17
Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?

A. pa.getIndicator()
B. gs.getDuration()
C. pa.getChange()
D. pa.getRate()

Answer: D

Explanation:
The pa.getRate() method is used in Platform Analytics to calculaterates of performance over time, such as incidents resolved per day, requests closed per week, or changes per reporting period. This method works on time series dataand applies aggregation logic to derive a rate rather than a raw count or sum.
pa.getChange() is used to calculate the difference between two data points, not a rate. pa.getIndicator() retrieves indicator metadata and does not perform calculations. gs.getDuration() is a general-purpose GlideSystem utility for calculating durations and is unrelated to analytics time series processing. ServiceNow documentation clearly identifies pa.getRate() as the appropriate API for rate-based calculations using historical indicator scores, making option D the correct answer.

NEW QUESTION # 18
......

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