ServiceNow CIS-PA Exam Success - Real CIS-PA Dumps

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ServiceNow CIS-PA Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
Topic 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.
Topic 3
  • 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.
Topic 4
  • Data Visualization: This section focuses on presenting data through widgets, interactive filters, appropriate visualizations, dashboards, and analyzing data using Analytics Hub and KPI Details.

ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q28-Q33):

NEW QUESTION # 28
How manySQL queriesare executed during a30-day historical collectionif all10 indicatorsin the historical collection share thesame daily indicator source?

Answer: A

Explanation:
Platform Analytics optimizes historical data collection by executingone query per indicator source per day, regardless of how many indicators reference that source. If 10 indicators share the same daily indicator source, the system executesonly one SQL query per day, not one per indicator.
Over a 30-day historical collection period, this results in30 SQL queries total. This optimization significantly reduces database load and improves performance. ServiceNow documentation explicitly highlights this behavior as a best-practice advantage of reusing indicator sources. Therefore, option C is the correct and documented answer.


NEW QUESTION # 29
Choose 2 options.
Which variables are used in aPerformance Analytics scriptwithout being defined in theFieldslist?

Answer: A,B

Explanation:
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.


NEW QUESTION # 30
Which Breakdown is most likely to use a Bucket Group as its Breakdown Source?

Answer: C

Explanation:
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.


NEW QUESTION # 31
What configuration setting should be used to run aHistorical Collection Job?

Answer: D

Explanation:
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.


NEW QUESTION # 32
An Indicator stores the value7423.3.
If thePrecisionis set to0, what is displayed in aScore widget?

Answer: D

Explanation:
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.


NEW QUESTION # 33
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