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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q19-Q24):

NEW QUESTION # 19
What is the primary function of theanalytics_filter_adminrole inAnalytics Center?

A. To define and implement element security permissions on Breakdown Sources
B. To oversee and validate the accuracy of analytics data presented in Breakdowns
C. To manage, edit, or delete any filters on dashboards and add new filters to the filter library
D. To create and customize advanced visualizations across analytics dashboards

Answer: C

Explanation:
Theanalytics_filter_adminrole is responsible forgoverning dashboard filterswithin Analytics Center. Users with this role cancreate, edit, delete, and manage filters, as well as add filters to thefilter libraryfor reuse across dashboards.
This role does not control visualization design, breakdown security, or data validation. Its purpose is to ensure consistent and controlled use of filters across analytics experiences. ServiceNow documentation explicitly associates this role with filter administration, making option B the correct answer.

NEW QUESTION # 20
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?

A. Task [task]
B. Bucket Group
C. Bucket [pa_buckets]
D. Choice [sys_choice]

Answer: C

Explanation:
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.

NEW QUESTION # 21
An Indicator stores the value7423.3.
If thePrecisionis set to0, what is displayed in aScore widget?

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

Answer: C

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 # 22
Which data is loaded when you view aPerformance Analytics Dashboard?

A. All widgets on all dashboard tabs
B. Only widgets configured on the current tab that are visible without scrolling
C. Only widgets configured on the current tab
D. Only the widgets shown by the current view rule

Answer: C

Explanation:
When a Performance Analytics dashboard is opened, ServiceNow loadsonly the widgets configured on the currently active tab. Widgets on other tabs are not loaded until the user clicks those tabs. This behavior is intentional and supportsperformance optimization, especially for dashboards containing many analytics widgets or complex queries.
Widgets are not limited by view rules alone, and ServiceNow does not preload widgets from all tabs.
Additionally, widgets that require scrolling are still loaded as long as they are part of the active tab.
ServiceNow documentation confirms that dashboard widgets are loadedper tab, reducing unnecessary data processing and improving load times. Therefore, option A is the correct and documented behavior.

NEW QUESTION # 23
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?

A. Number of open problems not updated in the last 90 days
B. Summed age of open problems
C. Number of incidents resolved in time
D. Number of new requests

Answer: B

Explanation:
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.

NEW QUESTION # 24
......

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