Important ServiceNow CIS-PA Exam Questions

Answer: D

Explanation:

During data collection, Platform Analytics first applies the Indicator Source conditions to retrieve the base dataset. Once the source data is identified, the system then evaluates the Additional conditions defined 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 dataset after the source query executes, making option D the correct answer.

Answer: D

Explanation:

Analytics Center is the workspace used to create and manage Next Experience Dashboards and Data Visualizations. It provides a unified interface for building modern, interactive analytics experiences, including metric visualizations, time series, breakdown views, and dashboards.

Analytics Hub is primarily used for viewing and exploring existing analytics, not creating them. Reports Administration and Analytics Administration serve different purposes and do not support Next Experience dashboard creation. ServiceNow documentation explicitly identifies Analytics Center as the creation and management environment for Next Experience analytics content, making option D the correct answer.

Answer: A

Explanation:

Historical Data Collection is intended to accurately reconstruct past indicator scores. Age-based breakdowns must be excluded because age is a time-relative value that cannot be reliably recalculated for historical points in time.

For the indicator Number of open and overdue incidents, breakdowns such as Location, Category, and State can be historically recalculated by evaluating record attributes at specific points in time. However, Age depends on the exact moment of evaluation and changes continuously, making it unsuitable for historical backfilling.

ServiceNow documentation explicitly warns against using age or duration-based breakdowns in historical data collection jobs, as they lead to inaccurate or misleading results. Therefore, option A is the correct and documented exclusion.

Answer: D

Explanation:

In ServiceNow Platform Analytics, a Breakdown Source is automatically disabled when the number of generated breakdown elements exceeds the maximum element limit defined 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, the recommended and documented resolution is not to 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 to refine 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-enable DC 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 D is the correct and fully supported resolution according to ServiceNow Platform Analytics documentation and best practices.

Answer: D

Explanation:

An Index Indicator in Platform Analytics represents a composite score calculated from multiple supporting indicators. According to ServiceNow best practices, both the Index and its supporting indicators should be normalized so that higher values represent better performance. Therefore, the correct configuration is a target of 100% with a Maximize direction.

This standardization ensures consistent weighting and scoring logic across all contributing indicators. If supporting indicators were set to Minimize or had inconsistent targets, the index calculation would produce misleading or inverted results. Options involving a 0% target are incorrect because index scores are designed to trend toward full achievement, represented as 100%. ServiceNow documentation clearly states that index indicators assume maximization logic for proper normalization and aggregation, making option D the correct and documented choice.