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CIS-PA学習教材は、ServiceNow専門資格試験に100％合格することを保証します。 CertJukenのCIS-PAガイドトレントの品質に自信を持っています。 CIS-PAトレーニングブレインダンプの合格率は98％から100％です。 CIS-PA練習問題に完全に頼ることができます。 優れた品質を確認するためのCIS-PA学習準備の無料デモがあります。 CIS-PA試験問題を無料でダウンロードする限り、問題に満足し、Certified Implementation Specialist - Platform Analytics試験に簡単に合格します。
質問 # 20
Which user should you run Data Collections as?
正解：A
解説：
ServiceNow best practice recommends running Performance Analytics data collections using a dedicated service account specifically created for analytics processing. This ensures consistent permissions, predictable access to data, and improved auditability.
Running collections as individual admins can introduce permission inconsistencies if roles change. The maint account is intended for system upgrades and maintenance, not scheduled analytics jobs. A dedicated Performance Analytics service account minimizes operational risk and aligns with ServiceNow security and governance guidelines.
ServiceNow documentation emphasizes the importance of service accounts for background processing, making option C the correct and recommended choice.
質問 # 21
Which Breakdown is most likely to use a Bucket Group as its Breakdown Source?
正解：C
解説：
A Bucket Group is used in Platform Analytics to categorize numeric or time-based values into ranges. The Hour of day breakdown is a classic example of this usage, as it groups records into defined hourly ranges (for example, 00-01, 01-02, and so on).
Priority, Business Service, and Assignment Group are categorical fields that use direct field mappings and do not require bucket logic. Bucket Groups are specifically intended for non-categorical data such as time, age, duration, or numeric ranges. ServiceNow documentation explicitly identifies time-based breakdowns, such as hour of day or age ranges, as appropriate use cases for Bucket Groups. Therefore, option A is the correct answer.
質問 # 22
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?
正解：D
解説：
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.
質問 # 23
Which type of Indicator allows enablingShow real-time score?
正解：A
解説：
TheShow real-time scoreoption is available only fornon-scripted Automated Indicators. These indicators are based on standard indicator sources and conditions that can be safely recalculated on demand without scripting complexity.
Scripted automated indicators and formula indicators depend on stored historical values and custom logic, which cannot be reliably recalculated in real time. Manual indicators rely on user-entered values and also do not support real-time calculation. ServiceNow documentation explicitly limits real-time scoring to non- scripted automated indicators to preserve performance and data integrity. Therefore, option D is the correct answer.
質問 # 24
Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?
正解：A
解説：
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.
質問 # 25
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