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ServiceNow CIS-PA Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • Configure Breakdowns and Breakdown Sources: This section covers setting up breakdowns to analyze indicators across different dimensions, including breakdown mappings, matrices, exclusions, scripted mappings, and bucket groups.
Thema 2
  • Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.
Thema 3
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.

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CIS-PA Quizfragen Und Antworten, CIS-PA Musterprüfungsfragen

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ServiceNow Certified Implementation Specialist - Platform Analytics CIS-PA Prüfungsfragen mit Lösungen (Q12-Q17):

12. Frage
What configuration setting should be used to run aHistorical Collection Job?

Antwort: A

Begründung:
AHistorical Collection Jobis designed to collect past data for a defined historical period and is typically executedone timeoron demand. Unlike scheduled collection jobs (daily, weekly, or monthly), historical jobs are not intended to run repeatedly.
ServiceNow documentation specifies that historical collections are initiated manually to backfill data for indicators that were created after records already existed. Running them on a recurring schedule could lead to duplicated or incorrect data. Therefore, the correct configuration isOnce or On Demand, making option A the correct answer.


13. Frage
How manySQL queriesare executed during a30-day historical collectionif all10 indicatorsin the historical collection share thesame daily indicator source?

Antwort: B

Begründung:
Platform Analytics optimizes historical data collection by executingone query per indicator source per day, regardless of how many indicators reference that source. If 10 indicators share the same daily indicator source, the system executesonly one SQL query per day, not one per indicator.
Over a 30-day historical collection period, this results in30 SQL queries total. This optimization significantly reduces database load and improves performance. ServiceNow documentation explicitly highlights this behavior as a best-practice advantage of reusing indicator sources. Therefore, option C is the correct and documented answer.


14. Frage
Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?

Antwort: B

Begründung:
The pa.getRate() method is used in Platform Analytics to calculaterates of performance over time, such as incidents resolved per day, requests closed per week, or changes per reporting period. This method works on time series dataand applies aggregation logic to derive a rate rather than a raw count or sum.
pa.getChange() is used to calculate the difference between two data points, not a rate. pa.getIndicator() retrieves indicator metadata and does not perform calculations. gs.getDuration() is a general-purpose GlideSystem utility for calculating durations and is unrelated to analytics time series processing. ServiceNow documentation clearly identifies pa.getRate() as the appropriate API for rate-based calculations using historical indicator scores, making option D the correct answer.


15. Frage
Which statements describe the respective Performance Analytics object behavior?

Antwort: C,D

Begründung:
In ServiceNow Performance Analytics,Indicator SourcesandIndicatorsare distinct objects with different responsibilities, and understanding their behavior is essential for correct architecture and deployment.
Option A is correct.
Indicator Sources definehowandwhen raw data is queried, but they can be reused by multiple data collection jobs. Even if an Indicator Source is configured with aMonthly frequency, it can still be executed by aDaily data collection job. The job frequency controls execution timing, not the source frequency itself. This reuse is a documented performance optimization in Platform Analytics.
Option C is correct.
TheIndicator frequency is independent of the Indicator Source frequency. For example, an Indicator Source may collect daily raw data, while the Indicator aggregates and stores scores weekly or monthly. This separation allows flexible aggregation strategies and is explicitly supported by Platform Analytics design.
Option B is incorrectbecause Breakdowns require aBreakdown Mapping, but they are not inherently tied only to Automated Indicators, nor is this statement describing object behavior accurately in isolation.
Option D is incorrectbecause Breakdowns can be assigned to an Indicatorbefore or after data collection; they are applied when the next collection runs.


16. Frage
When sharing a Dashboard, who can be granted Dashboard access?

Antwort: B

Begründung:
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.


17. Frage
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