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Exam Information
Official specifications published by ServiceNow
Exam Format
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Skills this practice test covers
- Build indicator sources from a facts table and Date-Time conditions.
- Combine indicators into formula indicators, and set their targets and direction.
- Map breakdown sources to indicators and trim the breakdown matrix with exclusions.
- Schedule collection jobs and fix failed collections from their logs.
- Design dashboards with widgets, unified filters and the right sharing settings.
- Deploy content packs and handle their dependencies.
Explore related topics
CAS-PA exam content
6 domains · 43 topics · 219 of 227 questions sorted by domain
Architecture and Deployment10%25 questions
This domain covers how Platform Analytics fits together before anything is built: its components, the order of deployment tasks, common use cases, and the personas who use it.
Skills tested
- Describe how indicators, breakdowns, collection jobs and dashboards work together.
- Put the deployment tasks in their proper sequence.
- Map personas such as the executive stakeholder and the content creator to the access they need.
Questions by topic
- Custom Business Calendars1
- PA vs. Reporting4
- Personas and Stakeholders5
- PA Architecture8
- Solution Design7
Configure Indicators and Indicator Sources25%50 questions
Indicators are the measures at the center of Platform Analytics. Candidates build indicator sources from a facts table and conditions, choose manual, automated or formula indicators, set targets, and write aggregation scripts when a plain count will not do.
Skills tested
- Build an indicator source from a facts table and Date-Time conditions.
- Choose a manual, automated or formula indicator for a stated requirement.
- Set targets, thresholds and the direction of an indicator.
- Write an aggregation script for a calculation that a count or a sum cannot express.
Questions by topic
- Formula Indicators16
- Indicator Source Configuration3
- Indicator Aggregation6
- Indicator Source Conditions9
- Targets3
- Indicator Types5
- Solution Design3
- Indicator Configuration5
Configure Breakdowns and Breakdown Sources25%47 questions
Breakdowns split an indicator's scores by a dimension, such as priority or category. This domain covers breakdown sources and mappings, the breakdown matrix and exclusions, scripted mappings, bucket groups and hierarchical breakdowns.
Skills tested
- Configure a breakdown source and map it to the indicator's facts table.
- Exclude breakdown combinations from the matrix to cut collection work.
- Create bucket groups with range and value buckets.
- Build a hierarchical breakdown that supports drill-down from parent to child.
Questions by topic
- Hierarchical Breakdowns8
- Bucket Groups7
- Breakdown Mapping6
- Scripted Breakdown Mappings5
- Breakdown Elements5
- Breakdown Source Configuration7
- Breakdown Matrix4
- Breakdown Configuration3
- Breakdown Collection2
Data Collection10%30 questions
Scores exist only after a collection job runs. Candidates follow the collection process flow, set job schedules and properties, troubleshoot failed collections from the logs, and decide which indicators should skip historical data.
Skills tested
- Schedule collection jobs and set their configuration properties.
- Read collection logs to find and fix a failed collection.
- Decide which indicators should exclude historical data, and explain why.
Questions by topic
- Collection Troubleshooting11
- Collection Configuration5
- Collection Fine-tuning6
- Indicator Configuration1
- Breakdown Collection5
- PA Architecture2
Data Visualization and Dashboards25%53 questions
This domain turns scores into something people read. Candidates pick widget types, configure unified filters, build and share dashboards, keep them fast, and analyze results in KPI details and Analytics Hub or Analytics Center.
Skills tested
- Choose the visualization that suits the data, such as a trend line or a breakdown comparison.
- Apply unified filters across several widgets on one dashboard.
- Set dashboard permissions and sharing for groups and roles.
- Drill into a trend with KPI details and export the findings.
Questions by topic
- Dashboard Filtering6
- Widget Configuration10
- Analytics Hub5
- Dashboard Properties9
- Solution Design1
- Dashboard Access Management6
- Unified Filters4
- Widget Types5
- Custom Business Calendars1
- KPI Signals4
- Targets2
Administration and Advanced Implementation Solutions5%14 questions
The smallest domain covers content packs that speed up deployment, advanced collection scenarios that use other platform features, and Spotlight configuration.
Skills tested
- Install a content pack and handle its dependencies.
- Integrate Platform Analytics with other ServiceNow applications for advanced collection.
Questions by topic
- Content Pack Management6
- Spotlight Configuration5
- KPI Signals1
- Custom Business Calendars2
Requirements
- Required: completion of the Platform Analytics Advanced course, through which ServiceNow issues the exam voucher.
- Recommended: the ServiceNow Administration Fundamentals course.
- Recommended: six months of hands-on Platform Analytics work, from deploying out-of-box content to building custom indicators and dashboards.
About the CAS-PA exam
CAS-PA tests whether a consultant or administrator can set up ServiceNow Platform Analytics, from the first indicator to the finished dashboard. Indicators, breakdowns, and visualizations with dashboards carry most of the weight. Candidates must first complete ServiceNow's Platform Analytics Advanced course, which gives access to the exam voucher. ServiceNow called the product Performance Analytics before. Passing now earns the Certified Implementation Specialist - Platform Analytics credential.
The explanations in the PlanetCert practice test show how a setting changes the scores, for example how an exclusion in the breakdown matrix stops a combination from being collected. Dashboards, indicators and breakdowns get the most questions, with many on formula indicators. Brainy AI Assistant can compare manual, automated and formula indicators, or explain why an indicator should skip historical collection. Study Mode suits the data collection questions, which ask why a job failed and how to fix it.
How to earn the certification
- Earns
- ServiceNow Certified Implementation Specialist - Platform AnalyticsImplementation Specialist
- Before
- CSA Certified System Administrator
ServiceNow's administrator exam. Its course is ServiceNow Administration Fundamentals, which is recommended before this exam.
- CSA Certified System Administrator
How to prepare for CAS-PA
- 1
Set up a test instance with data
Use a ServiceNow instance with sample records, such as incidents, and activate a Platform Analytics content pack. Study what it creates: indicators, breakdowns, collection jobs and dashboards.
- 2
Create one indicator from scratch
Build an indicator source on the Incident table, an automated indicator on it and a breakdown by priority. Run a historical collection, then check the scores in KPI details.
- 3
Weight study toward indicators and breakdowns
These two domains and dashboards carry most of the weight. Practise formula indicators, bucket groups, matrix exclusions and scripted mappings until each setting's effect on the scores is clear.
- 4
Make a collection job fail
Change a source condition or a mapping script so a job fails, then find the cause in the collection logs. The data collection domain asks for this kind of diagnosis.
- 5
Finish on dashboards under time
Take the CAS-PA practice test in Timed Mode, then reread the explanations for missed dashboard and widget questions. Brainy AI Assistant can rebuild a missed formula step by step.
Start a timed CAS-PArun
ServiceNow's Platform Analytics Advanced course is the official preparation, and completing it gives access to the exam voucher.
Who CAS-PA is for
- Implementation partners who set up Platform Analytics for ServiceNow customers.
- Administrators who run indicators, collection jobs and dashboards on their own instance.
- Business analysts who define KPIs and turn them into dashboards.
- Developers who script aggregations and breakdown mappings.
Typical job titles: ServiceNow consultant · Platform Analytics implementer · ServiceNow administrator · Business analyst · ServiceNow developer · Reporting analyst
CAS-PA glossary
17 terms from the exam objectives and the vendor's official material, each defined in a sentence.
- Aggregation Scripts
- Scripts that calculate an indicator's score when a simple count, sum or average of a field does not fit.
- Breakdown matrix
- The stored scores for each pair of elements from two breakdowns, so an indicator can be viewed by both at once.
- Breakdown Sources
- The list of possible values for a breakdown, taken from a table and its conditions, such as all active groups.
- Breakdowns
- Ways to split an indicator's scores by a dimension, such as priority or assignment group.
- Bucket Groups
- Sets of value ranges or values, such as age bands, that sort records into groups for a breakdown.
- Collection job
- A scheduled job that queries the source records and stores scores for indicators and breakdowns.
- Content packs
- Ready-made sets of indicators, breakdowns and dashboards for an application, such as incident management, that speed up deployment.
- Direction (Maximize/Minimize)
- The indicator setting that says whether a higher score is good (Maximize) or bad (Minimize).
- Facts table
- The table whose records an indicator source counts or aggregates, such as the Incident table.
- Formula Indicators
- Indicators whose scores are calculated from other indicators, such as resolved incidents divided by all incidents.
- Historical Data Collection
- A collection run that fills in scores for past dates, so trends start with history instead of today.
- Indicator Sources
- The definition of which records an automated indicator counts: a facts table and the conditions that filter it.
- Indicators (KPIs)
- Key measures, such as the number of open incidents, that Platform Analytics scores at each collection so trends can be followed.
- KPI details
- The detail view for one indicator, where users see its trend, apply a breakdown and open the records behind a score.
- Manual Indicators
- Indicators whose scores people enter by hand instead of collecting them from records.
- Scripted Breakdown Mapping
- A breakdown mapping that uses a script to choose each record's element when a plain field mapping is not enough.
- Unified Filters
- Dashboard filters that apply one condition, such as a group or a date range, to many widgets at once.