CIS-PA練習問題集 & CIS-PA関連日本語内容

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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 Indicators and Indicator Sources: This domain addresses creating and configuring indicators (performance metrics), including source conditions, fact tables, indicator types, properties, and aggregation scripts.
トピック 2
  • 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 3
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.

>> CIS-PA練習問題集 <<

CIS-PA関連日本語内容 & CIS-PA入門知識

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ServiceNow Certified Implementation Specialist - Platform Analytics 認定 CIS-PA 試験問題 (Q41-Q46):

質問 # 41
What configuration setting should be used to run aHistorical Collection Job?

正解:A

解説:
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.


質問 # 42
What is the default aggregation for the Metric tile in a Data Visualization?

正解:C

解説:
In Platform Analytics data visualizations, the Metric tile is designed to display a single summarized value. By default, the aggregation used for a Metric tile is COUNT. This means the tile displays the total number of records or scores returned by the data source unless the aggregation is explicitly changed by the user.
COUNT is the most commonly used aggregation because Metric tiles are often used to show key headline numbers such as total incidents, open requests, or completed tasks. Other aggregations like AVERAGE, MIN, or SUM are available options, but they must be manually selected during configuration. ServiceNow documentation confirms that COUNT is the default aggregation applied to Metric visualizations, making option A the correct answer.


質問 # 43
What does the"Allow formula component to be NULL"setting for aFormula Indicatordo?

正解:B

解説:
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.


質問 # 44
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 # 45
What is the purpose of using aBucket Group?

正解:C

解説:
ABucket Groupin Platform Analytics is used togroup large sets of numeric or time-based values into a smaller, more meaningful number of ranges. Common examples include grouping ages into ranges (0-5 days, 6-10 days), durations into bands, or hours of the day into segments. This simplifies analysis and improves dashboard readability by reducing excessive breakdown elements.
Bucket Groups do not log incidents, manage roles, or control integrations. Instead, they support analytics by enabling structured classification of non-categorical data. ServiceNow documentation clearly positions Bucket Groups as a mechanism for transforming raw numeric or duration data into consumable breakdowns, making option B the correct answer.


質問 # 46
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