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Real ServiceNow CIS-PA Exam Questions [Updated 2026]
NEW QUESTION # 20
What can you do in theDashboards moduleof theAnalytics Center?
- A. Create, update, certify, share, and view Next Experience dashboards
- B. Only create and view Next Experience dashboards
- C. Only share and view Next Experience dashboards
- D. Create, delete, and view Next Experience dashboards
Answer: A
Explanation:
TheDashboards modulein Analytics Center provides full lifecycle management forNext Experience Dashboards. Users with appropriate permissions cancreate, update, certify, share, and view dashboards from this module.
Certification is an important governance feature that marks dashboards as trusted and production-ready.
Sharing controls access, while update and creation enable continuous improvement. Viewing alone is insufficient for analytics governance. ServiceNow documentation clearly defines the Dashboards module as the central place for full dashboard management, making optionDthe correct answer.
NEW QUESTION # 21
What is the purpose of using aBucket Group?
- A. To create detailed logs of all incidents and changes
- B. To categorize a large number of breakdown values into a few groupings
- C. To automate user role assignments
- D. To manage API integrations for real-time data processing
Answer: B
Explanation:
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.
NEW QUESTION # 22
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?
- A. Number of incidents resolved in time
- B. Summed age of open problems
- C. Number of new requests
- D. Number of open problems not updated in the last 90 days
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 # 23
Which statements describe the respective Performance Analytics object behavior?
- A. Data collection must be completed before assigning Breakdowns to an Indicator
- B. The frequency of an Indicator can differ from that of an Indicator Source
- C. Breakdowns require a Breakdown Mapping to be added to an Automated Indicator
- D. Indicator Sources with a Monthly frequency can still be collected in a Daily job
Answer: B,D
Explanation:
In ServiceNow Performance Analytics,Indicator SourcesandIndicatorsare distinct objects with different responsibilities, and understanding their behavior is essential for correct architecture and deployment.
Option A is correct.
Indicator Sources definehowandwhen raw data is queried, but they can be reused by multiple data collection jobs. Even if an Indicator Source is configured with aMonthly frequency, it can still be executed by aDaily data collection job. The job frequency controls execution timing, not the source frequency itself. This reuse is a documented performance optimization in Platform Analytics.
Option C is correct.
TheIndicator frequency is independent of the Indicator Source frequency. For example, an Indicator Source may collect daily raw data, while the Indicator aggregates and stores scores weekly or monthly. This separation allows flexible aggregation strategies and is explicitly supported by Platform Analytics design.
Option B is incorrectbecause Breakdowns require aBreakdown Mapping, but they are not inherently tied only to Automated Indicators, nor is this statement describing object behavior accurately in isolation.
Option D is incorrectbecause Breakdowns can be assigned to an Indicatorbefore or after data collection; they are applied when the next collection runs.
NEW QUESTION # 24
An Indicator stores the value42502.
If thePrecisionis set to2, what is displayed in aScore widget?
- A. 0
- B. 4.25k
- C. 42,502.00
- D. 4,250.20
Answer: B
Explanation:
In Platform Analytics score widgets, thePrecisionsetting controls how numeric values areabbreviated and roundedfor display. When precision is set to2, large numbers are displayed usingcompact notation(such ask for thousands) with two significant digits.
A stored value of42,502is therefore displayed as4.25k, improving readability while preserving meaningful precision. Full numeric formatting or fixed decimal display is not the default behavior for score widgets.
ServiceNow documentation confirms that precision affectsabbreviated score presentation, making optionB the correct answer.
NEW QUESTION # 25
What happens when you select a predefined filter condition in the data source selection screen?
- A. The filter is applied and the data source is automatically selected
- B. The data source is automatically selected without any further options
- C. The filter is applied and it can be refined under the Conditions section
- D. The filter is saved and it will be automatically applied in future uses of the same data source
Answer: C
Explanation:
When a predefined filter condition is selected during data source configuration, Platform Analytics applies the filter immediately and displays it in the Conditions section, where it can be reviewed, modified, or extended.
This allows administrators to start with a standard filter and refine it to meet specific analytics requirements.
The filter is not automatically saved for future use, nor does it automatically select the data source without user confirmation. ServiceNow documentation clarifies that predefined filters act as starting templates, not locked or persistent filters. Administrators retain full control to adjust conditions before saving the indicator or data source. Therefore, option D accurately describes the behavior.
NEW QUESTION # 26
How many queries are performed against the database when aDaily Data Collection jobis executed?
- A. One for each indicator frequency
- B. One for each indicator type
- C. One for each indicator source
- D. One for each automated indicator
Answer: C
Explanation:
During a Daily Data Collection job, Platform Analytics executesone database query per Indicator Source, not per indicator. Multiple indicators can reference the same indicator source, allowing the platform toreuse the result setand calculate multiple scores from a single query.
This design is a key performance optimization in Platform Analytics. Executing queries per indicator would significantly increase database load, especially in large implementations. ServiceNow documentation explicitly states that indicator sources are the unit of data retrieval during collection, making option B the correct and documented answer.
NEW QUESTION # 27
Choose 2 options.
Which variables are used in aPerformance Analytics scriptwithout being defined in theFieldslist?
- A. collection_job_start
- B. sys_updated_on
- C. sys_created_on
- D. collection_job_end
- E. score_start
- F. score_end
Answer: E,F
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 # 28
Where areNext Experience DashboardsandData Visualizationscreated?
- A. In Analytics Administration
- B. In the Analytics Center
- C. In the Analytics Hub
- D. In Reports Administration
Answer: B
Explanation:
Analytics Centeris the workspace used to create and manageNext Experience DashboardsandData Visualizations. It provides a unified interface for building modern, interactive analytics experiences, including metric visualizations, time series, breakdown views, and dashboards.
Analytics Hub is primarily used forviewing and exploring existing analytics, not creating them. Reports Administration and Analytics Administration serve different purposes and do not support Next Experience dashboard creation. ServiceNow documentation explicitly identifies Analytics Center as the creation and management environment for Next Experience analytics content, making option D the correct answer.
NEW QUESTION # 29
Which type of Indicator allows enablingShow real-time score?
- A. Non-scripted Automated Indicator
- B. Manual Indicator
- C. Scripted Automated Indicator
- D. Formula Indicator
Answer: A
Explanation:
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.
NEW QUESTION # 30
Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?
- A. pa.getIndicator()
- B. pa.getChange()
- C. gs.getDuration()
- D. pa.getRate()
Answer: D
Explanation:
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.
NEW QUESTION # 31
What configuration setting should be used to run aHistorical Collection Job?
- A. Weekly
- B. Once or On Demand
- C. Daily
- D. Monthly
Answer: B
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
Where should you navigate to activate aPerformance Analytics Content Pack?
- A. Performance Analytics > Add Content Pack
- B. Performance Analytics > Activate Solution
- C. Content Management > Performance Analytics
- D. System Applications > All Available Applications > All
Answer: A
Explanation:
Performance AnalyticsContent Packsprovide prebuilt indicators, breakdowns, dashboards, and jobs for specific applications such as Incident, Problem, or Change Management. To activate these packs, administrators navigate toPerformance Analytics > Add Content Pack. This interface lists all available analytics content packs and allows administrators to preview and activate them.
Option A refers to Solution activation, which is unrelated to Performance Analytics content. Option B is used for application plugins, not analytics packs. Option D does not exist as a valid navigation path for Performance Analytics. ServiceNow documentation explicitly identifiesPerformance Analytics > Add Content Packas the correct location to install analytics content, making option C the verified answer.
NEW QUESTION # 33
When areAdditional conditionsof an Indicator evaluated duringData Collection?
- A. Before the Indicator Source conditions
- B. When the Indicator is viewed in the Analytics Hub
- C. At the same time as the Indicator Source conditions
- D. After the Indicator Source conditions
Answer: D
Explanation:
During data collection, Platform Analytics first applies theIndicator Source conditionsto retrieve the base dataset. Once the source data is identified, the system then evaluates theAdditional conditionsdefined on the Indicator itself.
This separation allows indicator-specific filtering without duplicating logic in the indicator source, supporting reuse and performance optimization. Additional conditions do not run in parallel with source conditions and are not evaluated at visualization time. ServiceNow documentation explicitly explains that Indicator conditions refine the datasetafterthe source query executes, making option D the correct answer.
NEW QUESTION # 34
A filtered Time Series widget shows individual trends for the number of open incidents with High and Critical priorities.
Which action configures the Responsive Canvas Dashboard to show acombined trendfor the Critical and High-priority incidents?
- A. Set theShow multiple elements asproperty toAggregate
- B. CheckManual elementsand add widget elements for the High and Critical incidents
- C. Apply an elements filter to return High and Critical incidents only
- D. Set theShow multiple elements asproperty toSeparate
Answer: A
Explanation:
In Responsive Canvas dashboards, when a Time Series widget contains multiple elements, theShow multiple elements asproperty controls how those elements are visualized. Setting this property toAggregatecombines the values of all returned elements into asingle trend line, which is exactly the desired outcome when viewing a combined trend for High and Critical priority incidents.
Applying an elements filter (option D) limits which elements are displayed but does not combine them into one trend. Setting the property toSeparate(option C) explicitly shows individual trend lines for each element.
Manually adding elements (option B) still results in multiple distinct series unless aggregation is enabled.
According to ServiceNow Platform Analytics documentation, aggregation is the correct method for consolidating multiple indicator elements into one unified visualization on a dashboard.
NEW QUESTION # 35
Which application helps to obtain insights onnew and returning platform usersand theirnavigation patterns
?
- A. Platform Analytics Workspace
- B. Responsive Dashboards
- C. Next Experience Dashboards
- D. User Experience Analytics
Answer: D
Explanation:
User Experience Analyticsis the application designed to analyzeuser behavior, including new versus returning users, session frequency, navigation paths, page views, and interaction patterns across the ServiceNow platform. It provides insights into how users engage with the platform and helps organizations optimize usability, adoption, and performance.
Responsive Dashboards and Next Experience Dashboards are visualization and UI frameworks, not behavioral analytics tools. Platform Analytics Workspace focuses on KPI monitoring and process performance, not clickstream or navigation behavior. ServiceNow documentation clearly positions User Experience Analytics as the solution for understanding how users interact with the platform, making option D the correct answer.
NEW QUESTION # 36
What is the primary function of theanalytics_filter_adminrole inAnalytics Center?
- A. To oversee and validate the accuracy of analytics data presented in Breakdowns
- B. To manage, edit, or delete any filters on dashboards and add new filters to the filter library
- C. To create and customize advanced visualizations across analytics dashboards
- D. To define and implement element security permissions on Breakdown Sources
Answer: B
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 # 37
Which Breakdown should be excluded from the Historical Data Collection job configured for the indicator Number of open and overdue incidents?
- A. Age
- B. Category
- C. State
- D. Location
Answer: A
Explanation:
Historical Data Collection is intended to accurately reconstruct past indicator scores. Age-based breakdowns must be excluded because age is a time-relative value that cannot be reliably recalculated for historical points in time.
For the indicator Number of open and overdue incidents, breakdowns such as Location, Category, and State can be historically recalculated by evaluating record attributes at specific points in time. However, Age depends on the exact moment of evaluation and changes continuously, making it unsuitable for historical backfilling.
ServiceNow documentation explicitly warns against using age or duration-based breakdowns in historical data collection jobs, as they lead to inaccurate or misleading results. Therefore, option A is the correct and documented exclusion.
NEW QUESTION # 38
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