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| Certification Vendor: | ServiceNow |
|---|---|
| Exam Name: | ServiceNow Certified Implementation Specialist โ Platform Analytics |
| Exam Number: | CIS-PA |
| Exam Format: | Multiple select, Multiple choice, Proctored online exam |
| Passing Score: | 70% |
| Exam Price: | USD 300 |
| Certificate Validity Period: | Requires ongoing maintenance via ServiceNow certification delta exams (periodic renewal) |
| Related Certifications: | ServiceNow Certified System Administrator (CSA) ServiceNow Certified Implementation Specialist โ Performance Analytics |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | Approximately 60 |
| Available Languages: | English |
| Recommended Training: | ServiceNow Performance Analytics Training (Now Learning) |
| Exam Registration: | ServiceNow Certification Portal Now Learning (Training & Exam Registration) |
| Sample Questions: | ServiceNow CIS-PA Sample Questions |
| Exam Way: | Online proctored exam delivered via ServiceNow-approved proctoring platform (e.g., Kryterion Webassessor) |
| Pre Condition: | ServiceNow Certified System Administrator (CSA) or equivalent platform experience is recommended |
| Official Syllabus URL: | https://www.servicenow.com/services/certification.html |
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NEW QUESTION # 59
Breakdown element security is configured in the properties of which object?
Answer: C
Explanation:
Breakdown element securitydetermines which users are allowed to see specific breakdown elements (such as certain categories or values) when viewing analytics data. In Platform Analytics, this security is configured directly on theAutomated Breakdownrecord.
Automated Breakdowns include properties that allow administrators to defineelement-level access control, typically by specifyingrolesthat are required to view certain breakdown elements. This ensures sensitive analytics data is only visible to authorized users. The Breakdown Source defines how data is mapped and categorized but does not control visibility. Automated Indicators control score collection and aggregation, not breakdown element security. Manual Breakdowns are static and do not support dynamic element security in the same way.
ServiceNow documentation explicitly states that breakdown element security settings-such as restricting elements by role-are part of theAutomated Breakdown configuration, making option D the correct answer.
NEW QUESTION # 60
Which feature in Platform Analytics enables the sharing of visualizations on any dashboard?
Answer: A
Explanation:
TheVisualization Libraryis the Platform Analytics feature that enables visualizations to be reused and shared acrossany dashboard. When a visualization (such as a time series, scorecard, or breakdown visualization) is saved to the Visualization Library, it becomes areusable analytics componentthat can be added to multiple dashboards without duplicating configuration. This ensures consistency in metrics, reduces maintenance overhead, and supports centralized governance of analytics content.
Dashboard Sharing, by contrast, controlswho can view or edit a dashboard, not how individual visualizations are reused across dashboards. Roles such as pa_kpi_signals_admin or report_admin provide administrative capabilities but do not enable cross-dashboard visualization reuse. According to ServiceNow Platform Analytics documentation, the Visualization Library is specifically designed to store, manage, and distribute analytics visualizations so they can be embedded in dashboards throughout the platform. This feature is essential in enterprise analytics implementations where the same KPIs and indicators must appear consistently across multiple dashboards and user audiences.
NEW QUESTION # 61
Which statement describesPerformance Analytics Spotlight?
Answer: A
Explanation:
Performance Analytics Spotlightis a feature that provides aranked list of recordsbased onmultiple weighted conditions, helping users focus on the most critical records that require attention. Spotlight differs from traditional reports and time-series analytics because it evaluates records dynamically using scoring logic rather than historical aggregation.
Option A describes dashboard visualizations such as time series or scorecards. Option B refers to record views, not analytics. Option D describes Performance Analytics indicators, which track trends over time.
ServiceNow documentation clearly defines Spotlight as a prioritization tool that ranks records using configurable rules and weights, making option C the correct and complete description.
NEW QUESTION # 62
What is the default aggregation for the Metric tile in a Data Visualization?
Answer: B
Explanation:
In Platform Analytics data visualizations, the Metric tile is designed to display a single summarized value. By default, the aggregation used for a Metric tile is COUNT. This means the tile displays the total number of records or scores returned by the data source unless the aggregation is explicitly changed by the user.
COUNT is the most commonly used aggregation because Metric tiles are often used to show key headline numbers such as total incidents, open requests, or completed tasks. Other aggregations like AVERAGE, MIN, or SUM are available options, but they must be manually selected during configuration. ServiceNow documentation confirms that COUNT is the default aggregation applied to Metric visualizations, making option A the correct answer.
NEW QUESTION # 63
Which Breakdown should be excluded from the Historical Data Collection job configured for the indicator Number of open and overdue incidents?
Answer: C
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.
NEW QUESTION # 64
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