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ServiceNow CIS-PA Exam Syllabus Topics:
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NEW QUESTION # 25
Which user should you run Data Collections as?
- A. Platform Analytics Admin
- B. Maintenance account (maint)
- C. System Administrator
- D. A dedicated Performance Analytics service account
Answer: D
Explanation:
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.
NEW QUESTION # 26
Which data is loaded when you view aPerformance Analytics Dashboard?
- A. Only the widgets shown by the current view rule
- B. Only widgets configured on the current tab
- C. All widgets on all dashboard tabs
- D. Only widgets configured on the current tab that are visible without scrolling
Answer: B
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 # 27
When areAdditional conditionsof an Indicator evaluated duringData Collection?
- A. At the same time as the Indicator Source conditions
- B. When the Indicator is viewed in the Analytics Hub
- C. After the Indicator Source conditions
- D. Before the Indicator Source conditions
Answer: C
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 # 28
Which Breakdown is most likely to use a Bucket Group as its Breakdown Source?
- A. Priority
- B. Assignment Group
- C. Hour of day
- D. Business Service
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 # 29
What determines thecolor of the scorein aScore widget?
- A. Chart color defined for the base table
- B. Field styles on the field used to calculate the Indicator
- C. Relationship to the target and the Direction setting of the Indicator
- D. Widget settings
Answer: C
Explanation:
In ServiceNow Platform Analytics, thecolor of the score displayed in a Score widgetis determined by the Indicator's relationship to its targetin combination with theDirection setting(Maximize or Minimize) of the Indicator. This behavior is part of the KPI evaluation logic and is consistent across dashboards and KPI Details.
When an indicator has a defined target, Platform Analytics compares thecurrent scoreagainst that target.
Based on whether the indicator is configured tomaximize(higher is better) orminimize(lower is better), the platform automatically assigns a visual status-such as green (on track), yellow (warning), or red (off track).
This status directly controls thecolor of the score valueshown in the widget.
Chart colors, field styles, or widget-specific settings donotinfluence the score color. Those options may affect line charts or visual styling, but not KPI status coloring. ServiceNow documentation clearly states that KPI status and score coloring are driven bytarget evaluation logic, makingoption Athe correct and verified answer.
NEW QUESTION # 30
What is the default aggregation for the Metric tile in a Data Visualization?
- A. AVERAGE
- B. SUM
- C. MIN
- D. COUNT
Answer: D
Explanation:
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.
NEW QUESTION # 31
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?
- A. Bucket Group
- B. Task [task]
- 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 # 32
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?
- A. Number of new requests
- B. Number of incidents resolved in time
- C. Summed age of open problems
- D. Number of open problems not updated in the last 90 days
Answer: C
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 # 33
An Indicator stores the value7423.3.
If thePrecisionis set to0, what is displayed in aScore widget?
- A. 0
- B. 1
- C. 7k
- D. 7423.3
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 # 34
Where areNext Experience DashboardsandData Visualizationscreated?
- A. In Reports Administration
- B. In Analytics Administration
- C. In the Analytics Hub
- D. In the Analytics Center
Answer: D
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 # 35
What is aBreakdown?
- A. It is the ability to group or filter indicator scores
- B. It is a source table for categorization data
- C. It is the ability to group or filter report data
- D. It is a choice list of possible attribute values
Answer: A
Explanation:
In Platform Analytics, aBreakdownis used togroup or filter indicator scoresbased on specific attributes, such as priority, category, assignment group, or age ranges. Breakdowns allow users to analyze how different segments contribute to overall performance and to compare trends across those segments over time.
Breakdowns operate onindicator scores, not on raw report data. While reports can also be grouped or filtered, that functionality is separate from Performance Analytics. A Breakdown does not define the source table itself (that is the role of the Breakdown Source), nor is it merely a choice list. ServiceNow documentation clearly defines Breakdowns as a core analytics concept used to slice indicator data for deeper performance insight, making option D the correct answer.
NEW QUESTION # 36
Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?
- A. pa.getChange()
- B. pa.getRate()
- C. gs.getDuration()
- D. pa.getIndicator()
Answer: B
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 # 37
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?
- A. Create a separate breakdown mapping for each indicator facts table
- B. Create a mapping script to define the relationship between the indicator facts tables and the breakdown source
- C. Configure the indicators to use the same indicator source
- D. Create a separate breakdown record for each indicator facts table
Answer: A
Explanation:
A single Breakdown can be reused across multiple indicators-even when those indicators are based on different facts tables-by creating aseparate Breakdown Mapping for each indicator facts table.
The Breakdown defineswhatis being analyzed, while the Breakdown Mapping defineshowthe indicator facts relate to the breakdown source. Because different facts tables may store data differently, each requires its own mapping configuration. A scripted mapping is only required when no direct relationship exists, not simply because facts tables differ. ServiceNow documentation clearly states that reuse across facts tables is achieved through multiple mappings, making option D the correct answer.
NEW QUESTION # 38
Which of the following statements best describes an Automated Indicator?
- A. A scheduled job that collects data
- B. A subcategorization of an indicator that provides more granular views of scores
- C. A series of measurements that describe a process over a period of time
- D. A process summary taken at a single point in time
Answer: C
Explanation:
AnAutomated Indicatorin Platform Analytics is defined as aseries of measurements collected over time that represent the performance of a process. These measurements are stored astime series data, allowing organizations to analyze trends, patterns, and historical performance. Automated indicators rely onindicator sourcesandscheduled data collection jobsto collect data at defined intervals, such as daily or hourly.
Option B describes asnapshot report, which represents data at a single point in time and does not support trending. Option C refers tobreakdowns, which categorize indicator scores for deeper analysis but do not define the indicator itself. Option D describes thedata collection job, which is a mechanism used by automated indicators but not the indicator definition. ServiceNow documentation explicitly states that indicators represent performance over time, making option A the correct and most complete description of an Automated Indicator.
NEW QUESTION # 39
What specifies thebase table and fieldused to uniquely identify elements in aBreakdown Source?
- A. Manual Indicator and Scoresheet
- B. Facts table and Sys ID field
- C. Related List Conditions and Field Labels
- D. Indicator Configuration and Target Value
Answer: B
Explanation:
A Breakdown Source relies on theFacts tableand aunique identifier field (typically the Sys ID)to define how breakdown elements are generated and linked to indicator scores. The Facts table specifies where the breakdown data originates, while the Sys ID field uniquely identifies each breakdown element.
Related list conditions and labels do not define uniqueness. Indicator configuration and targets are unrelated to breakdown structure. Manual indicators and scoresheets are not involved in breakdown sourcing.
ServiceNow documentation clearly states that the Facts table and unique identifier are foundational to Breakdown Source configuration, making option B the correct answer.
NEW QUESTION # 40
What is the purpose of using aBucket Group?
- A. To manage API integrations for real-time data processing
- B. To categorize a large number of breakdown values into a few groupings
- C. To automate user role assignments
- D. To create detailed logs of all incidents and changes
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 # 41
Which scenarios require the use of ascripted Breakdown Mapping?
- A. Categorizing incidents based on their category
- B. Categorizing the length of time since tasks were updated into age ranges
- C. Categorizing incidents based on their priority
- D. Categorizing requests based on the number of times they were updated
Answer: D
Explanation:
Ascripted Breakdown Mappingis required when the breakdown value cannot be obtained through adirect field mappingor simple reference relationship. Categorizing requests based onthe number of times they were updatedrequires calculating a value dynamically (for example, counting updates from the audit history), which is not stored as a single field on the record. Because this value must be derived programmatically, a scripted mapping is necessary.
Options B and C use existing fields (category, priority) that can be mapped directly without scripting. Option D usesage ranges, which are handled throughBucket Groupsand thepa_bucketstable, not scripted mappings.
ServiceNow documentation clearly states that scripted mappings are intended forcalculated, derived, or indirect values, making option A the correct answer.
NEW QUESTION # 42
What should thetargetfor theIndexand its supporting indicators be set to when creating anIndex Indicator?
- A. 100% and Maximize
- B. 100% and Minimize
- C. 0% and Maximize
- D. 0% and Minimize
Answer: A
Explanation:
AnIndex Indicatorin Platform Analytics represents a composite score calculated from multiple supporting indicators. According to ServiceNow best practices, both theIndex and its supporting indicatorsshould be normalized so thathigher values represent better performance. Therefore, the correct configuration is a target of 100%with aMaximizedirection.
This standardization ensures consistent weighting and scoring logic across all contributing indicators. If supporting indicators were set to Minimize or had inconsistent targets, the index calculation would produce misleading or inverted results. Options involving a 0% target are incorrect because index scores are designed to trend toward full achievement, represented as 100%. ServiceNow documentation clearly states that index indicators assume maximization logic for proper normalization and aggregation, making option D the correct and documented choice.
NEW QUESTION # 43
What happens when you select a predefined filter condition in the data source selection screen?
- A. The filter is applied and it can be refined under the Conditions section
- B. The data source is automatically selected without any further options
- C. The filter is saved and it will be automatically applied in future uses of the same data source
- D. The filter is applied and the data source is automatically selected
Answer: A
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 # 44
When sharing a Dashboard, who can be granted Dashboard access?
- A. A specific user
- B. A specific role
- C. A specific group
- D. A specific user, group, or role
Answer: D
Explanation:
In Platform Analytics, dashboards are shared through the dashboardShareaction. In theShare Dashboard dialog, theGrant access tofield explicitly allows you to enterone or more users, groups, or rolesto share the dashboard with. This sharing controls whether recipients canviewthe dashboard oreditit, depending on whether you add them as a viewer or editor. Sharing can also optionally allow recipients to manage (add/edit
/remove) sharing permissions if that option is enabled. ServiceNow further notes that only certain privileged roles (such asadmin, dashboard_admin, pa_admin, or pa_power_user) can see roles in the sharing panel in some configurations, and sharing with roles may require read access to theRoles [sys_user_role]table. This means access can be granted at the individual level (user), team level (group), or permission level (role), making "user, group, or role" the correct and complete choice.
NEW QUESTION # 45
What configuration setting should be used to run aHistorical Collection Job?
- A. Weekly
- B. Monthly
- C. Once or On Demand
- D. Daily
Answer: C
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 # 46
What is an example of how Platform Analytics can help achieve the goal of reducing IT spending by 10%?
- A. By conducting user satisfaction surveys to identify areas for improvement
- B. By automating password resets for users
- C. By generating comprehensive asset cost reports and importing them
- D. By breaking down incident resolution costs and identifying areas to optimize
Answer: D
Explanation:
Platform Analytics helps reduce IT spending by enablingcost visibility, trend analysis, and optimization insights. Breaking downincident resolution costsallows organizations to identify high-cost incident categories, inefficient processes, or teams with unusually long resolution times. By correlating cost data with performance indicators, leaders can make data-driven decisions to streamline workflows, reduce rework, and optimize resource allocation.
User satisfaction surveys (option A) provide qualitative feedback but do not directly measure or reduce costs.
Importing asset cost reports (option B) is a reporting or data integration activity, not an analytics-driven optimization approach. Automating password resets (option D) is an operational improvement but does not directly leverage Platform Analytics capabilities. ServiceNow documentation emphasizes that Platform Analytics supportsstrategic objectivessuch as cost reduction by revealing inefficiencies through indicators, breakdowns, and historical trend analysis-making option C the correct answer.
NEW QUESTION # 47
Choose 2 options.
Which variables are used in aPerformance Analytics scriptwithout being defined in theFieldslist?
- A. score_end
- B. sys_created_on
- C. collection_job_end
- D. score_start
- E. sys_updated_on
- F. collection_job_start
Answer: A,D
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 # 48
You see this error in aBreakdown Source:
Which action resolves the issue?
- A. EnableDC active. Modify system properties to increase the maximum number of breakdown elements that can be included in data collection.
- B. Delete and recreate the Breakdown Source.
- C. EnableDC active. Modify the Breakdown Source conditions to reduce the returned elements list below the system property setting.
- D. EnableDC active. Nothing more is required.
Answer: C
Explanation:
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.
NEW QUESTION # 49
InKPI Details, what happens when an indicator isforecasted to hit a future target?
- A. A new target is automatically set as an improvement of the current target
- B. The KPI status is set toOn Track
- C. The target owner is prompted to set a new Target Review date
- D. A comment is automatically generated
Answer: B
Explanation:
In KPI Details, Platform Analytics usesforecastingto predict whether an indicator is likely to meet its defined target within the specified timeframe. When the forecast shows that the indicator is expected to reach the target, theKPI status is automatically set to "On Track." This status update helps stakeholders quickly assess performance without manual interpretation of trend lines.
Platform Analytics does not automatically create new targets, generate comments, or prompt target owners to change review dates as part of the forecasting process. Those actions remain manual and governed by performance review practices. ServiceNow documentation explains that KPI status reflects the relationship between current performance, targets, and forecasted trends, making option C the correct answer.
NEW QUESTION # 50
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