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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
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.
Topic 3
  • 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 4
  • Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q22-Q27):

NEW QUESTION # 22
An Indicator stores the value42502.
If thePrecisionis set to2, what is displayed in aScore widget?

Answer: D

Explanation:
In Platform Analytics score widgets, thePrecisionsetting controls how numeric values areabbreviated and roundedfor display. When precision is set to2, large numbers are displayed usingcompact notation(such ask for thousands) with two significant digits.
A stored value of42,502is therefore displayed as4.25k, improving readability while preserving meaningful precision. Full numeric formatting or fixed decimal display is not the default behavior for score widgets.
ServiceNow documentation confirms that precision affectsabbreviated score presentation, making optionB the correct answer.


NEW QUESTION # 23
What is the primary function of theanalytics_filter_adminrole inAnalytics Center?

Answer: C

Explanation:
Theanalytics_filter_adminrole is responsible forgoverning dashboard filterswithin Analytics Center. Users with this role cancreate, edit, delete, and manage filters, as well as add filters to thefilter libraryfor reuse across dashboards.
This role does not control visualization design, breakdown security, or data validation. Its purpose is to ensure consistent and controlled use of filters across analytics experiences. ServiceNow documentation explicitly associates this role with filter administration, making option B the correct answer.


NEW QUESTION # 24
Which statements describe the respective Performance Analytics object behavior?

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 # 25
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?

Answer: D

Explanation:
When creating a breakdown based on theage of a task, the correctFacts tablefor the Breakdown Source is Bucket [pa_buckets]. In Platform Analytics, age-based breakdowns (such as 0-5 days, 6-10 days, etc.) are not derived directly from the Task table. Instead, they usebucketed data, which is generated bybucket groups during data collection.
Thepa_bucketstable stores the calculated bucket values for records at collection time, making it the authoritative facts table for age, duration, and numeric range breakdowns. Bucket Groups define how values are grouped, while the Bucket table stores the actual bucket assignments used in analytics. The Task table itself cannot be used as the facts table for age breakdowns because Platform Analytics requires pre- aggregated, time-aware bucket data to ensure historical accuracy. The Choice table is only used for choice list values and is unrelated to numeric or age-based breakdowns. ServiceNow documentation clearly states that bucket-based breakdowns must reference thepa_bucketstable to function correctly and produce accurate time series analytics.


NEW QUESTION # 26
What happens when you select a predefined filter condition in the data source selection screen?

Answer: B

Explanation:
When a predefined filter condition is selected during data source configuration, Platform Analytics applies the filter immediately and displays it in the Conditions section, where it can be reviewed, modified, or extended.
This allows administrators to start with a standard filter and refine it to meet specific analytics requirements.
The filter is not automatically saved for future use, nor does it automatically select the data source without user confirmation. ServiceNow documentation clarifies that predefined filters act as starting templates, not locked or persistent filters. Administrators retain full control to adjust conditions before saving the indicator or data source. Therefore, option D accurately describes the behavior.


NEW QUESTION # 27
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