Exam Dumps UPDATED QUESTIONS
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Certified Implementation Specialist - Platform Analytics (CIS-PA) Exam Overview - CORRECT
ANSWER The Certified Implementation Specialist - Platform Analytics (CIS-PA) exam
validates your ability to configure, implement, and maintain analytics solutions within the
ServiceNow Platform Analytics framework. This certification confirms that you can manage
indicators, breakdowns, and data collection processes, as well as design dashboards that translate raw
data into actionable performance insights. Certified professionals are trusted to optimize analytics-
driven decision-making and extend platform value using advanced reporting and visualization
techniques.
Passing this official proctored exam awards you the CIS-PA certification and an accompanying Credly
digital badge, enabling you to publicly demonstrate your Platform Analytics expertise across
professional profiles, resumes, and social networks.
Who Should Take the CIS-PA Exam? - CORRECT ANSWER The ServiceNow Certified
Implementation Specialist - Platform Analytics exam is intended for individuals who actively work
with or plan to specialize in Platform Analytics implementations, including:
- ServiceNow customers involved in analytics or reporting initiatives
- ServiceNow partners delivering Platform Analytics solutions
- ServiceNow employees supporting analytics deployments
- IT professionals seeking to specialize in data-driven ServiceNow implementations
Recommended Hands-On Experience - CORRECT ANSWER To maximize success,
candidates are recommended to have at least six months of real-world experience participating in
ServiceNow Platform Analytics implementation projects. This experience should include deploying
out-of-the-box analytics content, as well as building custom KPIs, reports, dashboards, visualizations,
and data collection jobs tailored to business requirements.
Detailed CIS-PA Exam Domains and Weighting - CORRECT ANSWER 1. Architecture and
Deployment (10%)
2. Configure Indicators and Indicator Sources (25%)
3. Configure Breakdowns and Breakdown Sources (25%)
4. Data Collection (10%)