ServiceNow CIS-PA日本語学習内容 & CIS-PA関連資格試験対応

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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	Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.
トピック 2	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 3	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.

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試験の準備方法-信頼できるCIS-PA日本語学習内容試験-権威のあるCIS-PA関連資格試験対応

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ServiceNow Certified Implementation Specialist - Platform Analytics 認定 CIS-PA 試験問題 (Q36-Q41):

質問 # 36
What is the purpose of using aBucket Group?

A. To manage API integrations for real-time data processing
B. To create detailed logs of all incidents and changes
C. To automate user role assignments
D. To categorize a large number of breakdown values into a few groupings

正解：D

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 # 37
You see this error in aBreakdown Source:

Which action resolves the issue?

A. Delete and recreate the Breakdown Source.
B. EnableDC active. Modify system properties to increase the maximum number of breakdown elements that can be included in data collection.
C. EnableDC active. Nothing more is required.
D. EnableDC active. Modify the Breakdown Source conditions to reduce the returned elements list below the system property setting.

正解：D

解説：
In ServiceNow Platform Analytics, aBreakdown Sourceis automatically disabled when the number of generated breakdown elements exceeds themaximum element limitdefined in system properties (for example, properties controlling the maximum allowed breakdown elements during data collection). This safeguard exists to protect system performance and prevent excessive storage and processing during data collection jobs.
When this error occurs, therecommended and documented resolutionisnotto increase the system property arbitrarily. Increasing the global limit can negatively impact performance across all analytics workloads and is discouraged unless there is a strong architectural justification.
Instead, ServiceNow best practice is torefine the Breakdown Source conditions-for example, by adding filters, narrowing scope, or excluding unnecessary records-so that the number of returned elements falls below the configured system threshold. Once the conditions are optimized, you can safely re-enableDC active, and the breakdown will participate in data collection successfully.
Simply re-enabling DC active without reducing elements will cause the breakdown to be disabled again, and deleting/recreating the source does not address the root cause. Therefore,option Dis the correct and fully supported resolution according to ServiceNow Platform Analytics documentation and best practices.

質問 # 38
An Indicator stores the value7423.3.
If thePrecisionis set to0, what is displayed in aScore widget?

A. 0
B. 7k
C. 7423.3
D. 1

正解：B

解説：
In ServiceNow Platform Analytics, thePrecisionsetting controls how numeric values arerounded and abbreviatedwhen displayed inScore widgets. When Precision is set to0, the platform displays values using compact notation(such askfor thousands orMfor millions) withno decimal places.
For a stored value of7423.3, Precision 0 causes the value to be rounded to the nearest thousand and displayed as7k. Platform Analytics does not display the full raw number unless compact notation is disabled or precision is increased. Option B (7000) and option D (7423) represent numeric rounding but not thecompact display formatused by score widgets. Option C is incorrect because Precision 0 explicitly removes decimals and applies abbreviation.
ServiceNow documentation confirms that score widgets useprecision-based compact formatting, making7k the correct displayed value when Precision is set to 0.

質問 # 39
Choose 2 options.
Which variables are used in aPerformance Analytics scriptwithout being defined in theFieldslist?

A. score_start
B. score_end
C. collection_job_start
D. sys_updated_on
E. collection_job_end
F. sys_created_on

正解：A、B

解説：
In Performance Analytics scripted indicators, certainsystem-provided variablesare automatically available without being explicitly defined in the Fields list. The variablesscore_startandscore_endrepresent thestart and end timestampsof the reporting period for which the indicator score is being calculated. These variables are essential for time-aware calculations and historical accuracy.
Fields such as sys_created_on and sys_updated_on must be explicitly added to the Fields list if they are used in scripts. collection_job_start and collection_job_end are not available script variables in indicator calculations. ServiceNow documentation clearly identifies score_start and score_end as built-in variables available to Performance Analytics scripts, making optionsB and Fthe correct answers.

質問 # 40
What is the default aggregation for the Metric tile in a Data Visualization?

A. AVERAGE
B. COUNT
C. SUM
D. MIN

正解：B

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 # 41
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