CIS-PA Prüfungsinformationen, CIS-PA Fragen Beantworten

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ServiceNow CIS-PA Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • Data Visualization: This section focuses on presenting data through widgets, interactive filters, appropriate visualizations, dashboards, and analyzing data using Analytics Hub and KPI Details.
Thema 2
  • Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.
Thema 3
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
Thema 4
  • 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 5
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.

>> CIS-PA Prüfungsinformationen <<

CIS-PA Fragen Beantworten, CIS-PA Simulationsfragen

Jedem, der die Prüfungsunterlagen und Software zu ServiceNow CIS-PA （Certified Implementation Specialist - Platform Analytics） von DeutschPrüfung nutzt und die ServiceNow Zertifizierungsprüfungen nicht beim ersten Mal erfolgreich besteht, versprechen wir, die Kosten für das Prüfungsmaterial 100% zu erstatten.

ServiceNow Certified Implementation Specialist - Platform Analytics CIS-PA Prüfungsfragen mit Lösungen (Q13-Q18):

13. Frage
What does the"Allow formula component to be NULL"setting for aFormula Indicatordo?

Antwort: C

Begründung:
TheAllow formula component to be NULLsetting controls how a Formula Indicator behaves when one or more component indicators return NULL values. When enabled, the formula continues to calculate using the available components instead of aborting the calculation.
If this setting is disabled and any component returns NULL, the entire formula result becomes NULL. The setting does not automatically convert NULLs to zero, nor does it skip calculation entirely. ServiceNow documentation explains that this option provides flexibility in environments where some component indicators may not have data for every period, ensuring the formula can still produce meaningful results.
Therefore, option D accurately describes the behavior.


14. Frage
Which role allows forcreating Indicators and DashboardsbutnotmanagingData Collection jobs or Indicator Sources?

Antwort: D

Begründung:
ThePA Contributorrole is designed for users who create and configureIndicators, Breakdowns, and Dashboards, but who should not have administrative control overdata collection jobs, indicator sources, or system-level analytics settings.
PA Admin has full control, including job and source management. PA Data Collector is focused on executing collection jobs only. PA Power User is primarily for analysis and dashboard consumption rather than content creation. ServiceNow documentation defines PA Contributor as the correct role for content creation without administrative privileges, making optionBcorrect.


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

Antwort: A,B

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
What is the purpose of aBreakdown Source?

Antwort: B

Begründung:
ABreakdown Sourcedefines how data isclassified into distinct breakdown elementsfor analysis. It identifies the table and field (or script) used to generate the unique values-such as categories, priorities, assignment groups, or buckets-that segment indicator scores.
Default element filters are configured on the Breakdown, not the Breakdown Source. Indicators are linked to Breakdowns through Breakdown Mappings, not selected at the source level. While bucket-based sources support non-categorical data, their core purpose remains identifying unique breakdown elements. ServiceNow documentation emphasizes that the Breakdown Source is responsible for definingwhere breakdown values come from and how they are identified, making option C the correct answer.


17. Frage
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?

Antwort: C

Begründung:
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.


18. Frage
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