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ServiceNow CIS-PA 認定試験の出題範囲：

トピック出題範囲
トピック 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.
トピック 2
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
トピック 3
  • Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.

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ServiceNow Certified Implementation Specialist - Platform Analytics 認定 CIS-PA 試験問題 (Q28-Q33):

質問 # 28
Choose 2 options.
Which types ofcalendarsare supported on anIndicator Source?

正解：A、E

解説：
Indicator Sources in Platform Analytics supportStandard calendarsandCustom calendarsto control how data collection aligns with business time definitions. TheStandard Calendaruses regular system time, while Custom Calendarsallow organizations to define business-specific working days, holidays, and schedules.
Fiscal calendars are used for financial reporting but are not supported directly by Indicator Sources. Resource and Docket calendars are unrelated to analytics collection. ServiceNow documentation explicitly states that Indicator Sources rely on standard or custom calendars for accurate time-based aggregation, making optionsB and Ethe correct answers.


質問 # 29
What is thedefault Access Controlfor anew Indicator?

正解：C

解説：
By default, a newly created Platform Analytics indicator isVisible to Just Me, andVisible by All Rolesis set toFalse. This ensures that indicators are private to their creator until explicitly shared.
No role is required by default, and visibility must be intentionally expanded by updating the access control settings. This design supports governance and prevents incomplete or experimental indicators from being exposed prematurely. ServiceNow documentation confirms this default behavior, making option A the correct answer.


質問 # 30
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?

正解：B

解説：
Historic Data Collection is designed to accurately reconstructpast indicator scoresbased on historical records. Indicators that rely oncalculated age values, such assummed age of open problems, cannot be accurately reconstructed because age is atime-relative valuethat depends on the exact moment of calculation.
Count-based indicators (options A, B, and D) can be recalculated historically by evaluating record states at specific points in time. However, summing age values requires knowing the precise age of each record at each historical interval, which is not reliably reproducible. ServiceNow documentation explicitly warns against using historic data collection forage-based and duration-sum indicators, making option C the correct exclusion.


質問 # 31
How many queries are performed against the database when aDaily Data Collection jobis executed?

正解：D

解説：
During a Daily Data Collection job, Platform Analytics executesone database query per Indicator Source, not per indicator. Multiple indicators can reference the same indicator source, allowing the platform toreuse the result setand calculate multiple scores from a single query.
This design is a key performance optimization in Platform Analytics. Executing queries per indicator would significantly increase database load, especially in large implementations. ServiceNow documentation explicitly states that indicator sources are the unit of data retrieval during collection, making option B the correct and documented answer.


質問 # 32
Which Breakdown should be excluded from the Historical Data Collection job configured for the indicator Number of open and overdue incidents?

正解：D

解説：
Historical Data Collection is intended to accurately reconstruct past indicator scores. Age-based breakdowns must be excluded because age is a time-relative value that cannot be reliably recalculated for historical points in time.
For the indicator Number of open and overdue incidents, breakdowns such as Location, Category, and State can be historically recalculated by evaluating record attributes at specific points in time. However, Age depends on the exact moment of evaluation and changes continuously, making it unsuitable for historical backfilling.
ServiceNow documentation explicitly warns against using age or duration-based breakdowns in historical data collection jobs, as they lead to inaccurate or misleading results. Therefore, option A is the correct and documented exclusion.


質問 # 33
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