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ServiceNow CIS-PA Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
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
  • Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.
Thema 4
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.
Thema 5
  • 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.

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ServiceNow Certified Implementation Specialist - Platform Analytics CIS-PA Prüfungsfragen mit Lösungen (Q57-Q62):

57. Frage
When areAdditional conditionsof an Indicator evaluated duringData Collection?

Antwort: D

Begründung:
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.


58. Frage
Breakdown element security is configured in the properties of which object?

Antwort: A

Begründung:
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.


59. Frage
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?

Antwort: C

Begründung:
When creating a breakdown based on theage of a task, the correctFacts tablefor the Breakdown Source is Bucket [pa_buckets]. In Platform Analytics, age-based breakdowns (such as 0-5 days, 6-10 days, etc.) are not derived directly from the Task table. Instead, they usebucketed data, which is generated bybucket groups during data collection.
Thepa_bucketstable stores the calculated bucket values for records at collection time, making it the authoritative facts table for age, duration, and numeric range breakdowns. Bucket Groups define how values are grouped, while the Bucket table stores the actual bucket assignments used in analytics. The Task table itself cannot be used as the facts table for age breakdowns because Platform Analytics requires pre- aggregated, time-aware bucket data to ensure historical accuracy. The Choice table is only used for choice list values and is unrelated to numeric or age-based breakdowns. ServiceNow documentation clearly states that bucket-based breakdowns must reference thepa_bucketstable to function correctly and produce accurate time series analytics.


60. Frage
What happens whenCollect recordsis enabled on an Automated Indicator form?

Antwort: B

Begründung:
WhenCollect recordsis enabled on an Automated Indicator, Platform Analytics stores thesys_ids of the recordsthat contributed to each indicator score at collection time. This capability enablesdrill-down functionality, allowing users to view the exact records behind a score directly from analytics widgets and dashboards. Importantly, Platform Analytics doesnot store full copies of records-only the identifiers- ensuring historical accuracy while maintaining storage efficiency.
Option A describes thepreview featureavailable when defining indicator conditions, not record collection.
Option B refers tomanual data collection, which is triggered separately. Option C is incorrect because Platform Analytics does not retain full record snapshots. ServiceNow documentation clearly states that enabling Collect records allows analytics users to drill into the contributing records for any given score, making option D the correct and precise answer.


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

Antwort: C

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.


62. Frage
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