Exam CIS-PA Format, New CIS-PA Test Pattern

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ServiceNow CIS-PA Exam Syllabus Topics:

TopicDetails
Topic 1
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.
Topic 2
  • Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.
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
  • Data Visualization: This section focuses on presenting data through widgets, interactive filters, appropriate visualizations, dashboards, and analyzing data using Analytics Hub and KPI Details.

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q15-Q20):

NEW QUESTION # 15
What happens when you select a predefined filter condition in the data source selection screen?

Answer: A

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 # 16
There is a Summed Duration of wait time Indicator that stores duration in milliseconds.
Which action accurately configures the displayed duration in hours without creating a separate Formula Indicator?

Answer: B

Explanation:
Platform Analytics supports unit conversion for duration-based indicators through the Unit field on the Indicator record. When an indicator stores duration values (such as milliseconds), setting the Unit to Hours automatically converts and displays the values correctly without modifying the underlying data or recollecting scores.
Using formulas or scripts is unnecessary and discouraged when a built-in unit conversion is available. The Formula box is intended for mathematical aggregation logic, not unit conversion. ServiceNow documentation explicitly states that duration indicators should rely on the Unit setting to control how values are displayed, making option A the correct and supported approach.


NEW QUESTION # 17
What is the purpose of using aBucket Group?

Answer: A

Explanation:
ABucket Groupin Platform Analytics is used togroup large sets of numeric or time-based values into a smaller, more meaningful number of ranges. Common examples include grouping ages into ranges (0-5 days, 6-10 days), durations into bands, or hours of the day into segments. This simplifies analysis and improves dashboard readability by reducing excessive breakdown elements.
Bucket Groups do not log incidents, manage roles, or control integrations. Instead, they support analytics by enabling structured classification of non-categorical data. ServiceNow documentation clearly positions Bucket Groups as a mechanism for transforming raw numeric or duration data into consumable breakdowns, making option B the correct answer.


NEW QUESTION # 18
How many queries are performed against the database when aDaily Data Collection jobis executed?

Answer: D

Explanation:
During a Daily Data Collection job, Platform Analytics executesone database query per Indicator Source, not per indicator. Multiple indicators can reference the same indicator source, allowing the platform toreuse the result setand calculate multiple scores from a single query.
This design is a key performance optimization in Platform Analytics. Executing queries per indicator would significantly increase database load, especially in large implementations. ServiceNow documentation explicitly states that indicator sources are the unit of data retrieval during collection, making option B the correct and documented answer.


NEW QUESTION # 19
You see this error in aBreakdown Source:

Which action resolves the issue?

Answer: A

Explanation:
In ServiceNow Platform Analytics, aBreakdown Sourceis automatically disabled when the number of generated breakdown elements exceeds themaximum element limitdefined in system properties (for example, properties controlling the maximum allowed breakdown elements during data collection). This safeguard exists to protect system performance and prevent excessive storage and processing during data collection jobs.
When this error occurs, therecommended and documented resolutionisnotto increase the system property arbitrarily. Increasing the global limit can negatively impact performance across all analytics workloads and is discouraged unless there is a strong architectural justification.
Instead, ServiceNow best practice is torefine the Breakdown Source conditions-for example, by adding filters, narrowing scope, or excluding unnecessary records-so that the number of returned elements falls below the configured system threshold. Once the conditions are optimized, you can safely re-enableDC active, and the breakdown will participate in data collection successfully.
Simply re-enabling DC active without reducing elements will cause the breakdown to be disabled again, and deleting/recreating the source does not address the root cause. Therefore,option Dis the correct and fully supported resolution according to ServiceNow Platform Analytics documentation and best practices.


NEW QUESTION # 20
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