CIS-PA試題,CIS-PA考試重點

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ServiceNow CIS-PA Exam Overview:

Certification Vendor:ServiceNow
Exam Name:Certified Implementation Specialist - Platform Analytics
Exam Number:CIS-PA
Exam Price:USD 250
Certificate Validity Period:3 years
Real Exam Qty:Approximately 60
Available Languages:English
Related Certifications:Certified Implementation Specialist - Platform Analytics
Exam Duration:90 minutes
Exam Format:Multiple Select, True/False, Multiple Choice
Passing Score:Approximately 75% (correct answers required)
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

>> CIS-PA試題 <<

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ServiceNow CIS-PA 考試大綱:

主題簡介
主題 1
  • Configure Indicators and Indicator Sources: This domain addresses creating and configuring indicators (performance metrics), including source conditions, fact tables, indicator types, properties, and aggregation scripts.
主題 2
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
主題 3
  • Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.
主題 4
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.
主題 5
  • Data Visualization: This section focuses on presenting data through widgets, interactive filters, appropriate visualizations, dashboards, and analyzing data using Analytics Hub and KPI Details.

最新的 CIS-Platform Analytics CIS-PA 免費考試真題 (Q16-Q21):

問題 #16
Which data is loaded when you view aPerformance Analytics Dashboard?

答案:C

解題說明:
When a Performance Analytics dashboard is opened, ServiceNow loadsonly the widgets configured on the currently active tab. Widgets on other tabs are not loaded until the user clicks those tabs. This behavior is intentional and supportsperformance optimization, especially for dashboards containing many analytics widgets or complex queries.
Widgets are not limited by view rules alone, and ServiceNow does not preload widgets from all tabs.
Additionally, widgets that require scrolling are still loaded as long as they are part of the active tab.
ServiceNow documentation confirms that dashboard widgets are loadedper tab, reducing unnecessary data processing and improving load times. Therefore, option A is the correct and documented behavior.


問題 #17
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?

答案:A

解題說明:
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.


問題 #18
Which of the following accurately describes howFormula Indicatorsare calculated in ServiceNow?

答案:A

解題說明:
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.


問題 #19
When sharing a Dashboard, who can be granted Dashboard access?

答案:B

解題說明:
In Platform Analytics, dashboards are shared through the dashboardShareaction. In theShare Dashboard dialog, theGrant access tofield explicitly allows you to enterone or more users, groups, or rolesto share the dashboard with. This sharing controls whether recipients canviewthe dashboard oreditit, depending on whether you add them as a viewer or editor. Sharing can also optionally allow recipients to manage (add/edit
/remove) sharing permissions if that option is enabled. ServiceNow further notes that only certain privileged roles (such asadmin, dashboard_admin, pa_admin, or pa_power_user) can see roles in the sharing panel in some configurations, and sharing with roles may require read access to theRoles [sys_user_role]table. This means access can be granted at the individual level (user), team level (group), or permission level (role), making "user, group, or role" the correct and complete choice.


問題 #20
Which scenarios require the use of ascripted Breakdown Mapping?

答案:D

解題說明:
Ascripted Breakdown Mappingis required when the breakdown value cannot be obtained through adirect field mappingor simple reference relationship. Categorizing requests based onthe number of times they were updatedrequires calculating a value dynamically (for example, counting updates from the audit history), which is not stored as a single field on the record. Because this value must be derived programmatically, a scripted mapping is necessary.
Options B and C use existing fields (category, priority) that can be mapped directly without scripting. Option D usesage ranges, which are handled throughBucket Groupsand thepa_bucketstable, not scripted mappings.
ServiceNow documentation clearly states that scripted mappings are intended forcalculated, derived, or indirect values, making option A the correct answer.


問題 #21
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