The ServiceNow CAS-PA exam covers a range of topics, including creating and configuring scorecards, designing and building dashboards, customizing reports, and using analytics to identify areas for improvement. To pass the exam, candidates must have a solid understanding of ServiceNow's Performance Analytics application and be able to apply that knowledge to real-world scenarios.
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ServiceNow CAS-PA certification exam covers a range of topics, including data collection, aggregation, and visualization. Individuals will learn how to create and manage key performance indicators (KPIs), dashboards, and scorecards. Additionally, they will gain the knowledge and experience required to configure Performance Analytics to meet specific organizational requirements. Certified Application Specialist - Performance Analytics certification exam is designed to equip professionals with the necessary skills to make informed decisions within their organizations and contribute to their success.
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The primary objectives of the CAS-PA Exam are to test the individual’s skills and knowledge regarding Performance Analytics. It provides a comprehensive evaluation of an individual’s ability to carry out operationalization, configuration, and utilization of Performance Analytics. CAS-PA examination ensures that an individual has a deep understanding of the Performance Analytics platform and can leverage the tool’s functionalities to provide data-driven business insights.
Reference: https://www.servicenow.com/content/dam/servicenow/other-documents/training/mainline-blueprint-cas-pa.pdf
ServiceNow CAS-PA Exam Syllabus Topics:
| Section | Weight | Objectives |
| Solutions and Integrations | 7% | - Platform integration and best practices
- Performance Analytics with ITSM, CSM, HRSD
|
| Configure Indicators and Indicator Sources | 26% | - Aggregation scripts and score calculation
- Indicator source configuration and facts tables
- Indicator types: Automated, Formula, Manual
|
| Targets, Thresholds and Administration | 10% | - Content packs and deployment
- Target definition, thresholds, and KPI signals
- Permissions, diagnostics and troubleshooting
|
| Data Collection and Snapshot Management | 12% | - Data collector jobs and schedules
- Historical snapshots and retention policies
- Troubleshooting collection and data quality
|
| Configure Breakdowns and Breakdown Sources | 22% | - Breakdown matrix, exclusions, and bucket groups
- Scripted breakdown mappings
- Breakdown source setup and mapping
|
| Data Visualization, Widgets and Dashboards | 23% | - Performance optimization and visualization selection
- Widget types: Score, Time Series, Breakdown Matrix
- Dashboard creation, filters, and access control
|