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| Certification Vendor: | ServiceNow |
|---|---|
| Exam Name: | Certified Implementation Specialist - Platform Analytics |
| Exam Number: | CIS-PA |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 90 minutes |
| Passing Score: | Approximately 75% (correct answers required) |
| Real Exam Qty: | Approximately 60 |
| Related Certifications: | Certified Implementation Specialist - Platform Analytics |
| Exam Price: | USD 250 |
| Exam Format: | Multiple Select, True/False, Multiple Choice |
| Available Languages: | English |
| Sample Questions: | ServiceNow CIS-PA Sample Questions |
| Exam Way: | Online proctored or at a Pearson VUE testing center. |
| Pre Condition: | Recommended ServiceNow System Administrator certification and experience with the ServiceNow platform. |
| Official Syllabus URL: | https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/resource-center/cis-pa-exam-blueprint.pdf |
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NEW QUESTION # 19
Which of the following accurately describes howFormula Indicatorsare calculated in ServiceNow?
Answer: C
Explanation:
Formula Indicators in Platform Analytics arepre-calculated during data collectionand their results arestored in the Indicator Facts table, just like automated indicators. They are not calculated in real time when a dashboard is viewed. Instead, they use the previously collected scores of their component indicators to compute a derived value at collection time.
This design ensures consistent historical analysis, predictable performance, and accurate trending. Real-time calculation would undermine historical integrity and dashboard performance, which is why ServiceNow explicitly avoids it for formula indicators. The stored results can then be reused across dashboards and reports without recalculation. ServiceNow documentation clearly states that formula indicators behave like other indicators in that they arepersisted for future analysis, making option C correct.
NEW QUESTION # 20
How candashboard filtersretain their values acrosslogins and page refreshes?
Answer: A
Explanation:
Dashboard filters retain their values across page refreshes and user navigation throughsession-based persistence. When this option is enabled, filter selections are stored for the duration of the user's session and automatically reapplied as the user navigates or refreshes the page.
Favorites and global defaults define starting values, not persistence behavior. Applying a filter to the entire dashboard controls scope, not retention. ServiceNow documentation explains that session persistence is the mechanism that maintains filter state, making option C the correct answer.
NEW QUESTION # 21
A filtered Time Series widget shows individual trends for the number of open incidents with High and Critical priorities.
Which action configures the Responsive Canvas Dashboard to show acombined trendfor the Critical and High-priority incidents?
Answer: C
Explanation:
In Responsive Canvas dashboards, when a Time Series widget contains multiple elements, theShow multiple elements asproperty controls how those elements are visualized. Setting this property toAggregatecombines the values of all returned elements into asingle trend line, which is exactly the desired outcome when viewing a combined trend for High and Critical priority incidents.
Applying an elements filter (option D) limits which elements are displayed but does not combine them into one trend. Setting the property toSeparate(option C) explicitly shows individual trend lines for each element.
Manually adding elements (option B) still results in multiple distinct series unless aggregation is enabled.
According to ServiceNow Platform Analytics documentation, aggregation is the correct method for consolidating multiple indicator elements into one unified visualization on a dashboard.
NEW QUESTION # 22
When areAdditional conditionsof an Indicator evaluated duringData Collection?
Answer: D
Explanation:
During data collection, Platform Analytics first applies theIndicator Source conditionsto retrieve the base dataset. Once the source data is identified, the system then evaluates theAdditional conditionsdefined 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 datasetafterthe source query executes, making option D the correct answer.
NEW QUESTION # 23
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?
Answer: D
Explanation:
A single Breakdown can be reused across multiple indicators-even when those indicators are based on different facts tables-by creating aseparate Breakdown Mapping for each indicator facts table.
The Breakdown defineswhatis being analyzed, while the Breakdown Mapping defineshowthe indicator facts relate to the breakdown source. Because different facts tables may store data differently, each requires its own mapping configuration. A scripted mapping is only required when no direct relationship exists, not simply because facts tables differ. ServiceNow documentation clearly states that reuse across facts tables is achieved through multiple mappings, making option D the correct answer.
NEW QUESTION # 24
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