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ServiceNow CIS-PA Exam Overview:

Certification Vendor:	ServiceNow
Exam Name:	Certified Implementation Specialist - Platform Analytics
Exam Number:	CIS-PA
Passing Score:	Approximately 75% (correct answers required)
Certificate Validity Period:	3 years
Exam Price:	USD 250
Real Exam Qty:	Approximately 60
Exam Duration:	90 minutes
Exam Format:	True/False, Multiple Select, Multiple Choice
Related Certifications:	Certified Implementation Specialist - Platform Analytics
Available Languages:	English
Sample Questions:	ServiceNow CIS-PA Sample Questions
Exam Way:	Online proctored or at a Pearson VUE testing center.
Pre Condition:	Recommended ServiceNow System Administrator certification and experience with the ServiceNow platform.
Official Syllabus URL:	https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/resource-center/cis-pa-exam-blueprint.pdf

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ServiceNow CIS-PA Exam Syllabus Topics:

Topic	Details
Topic 1	Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.
Topic 2	Data Visualization: This section focuses on presenting data through widgets, interactive filters, appropriate visualizations, dashboards, and analyzing data using Analytics Hub and KPI Details.
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.

ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q41-Q46):

NEW QUESTION # 41
When areAdditional conditionsof an Indicator evaluated duringData Collection?

A. At the same time as the Indicator Source conditions
B. Before the Indicator Source conditions
C. When the Indicator is viewed in the Analytics Hub
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 # 42
What is the purpose of using aBucket Group?

A. To automate user role assignments
B. To categorize a large number of breakdown values into a few groupings
C. To create detailed logs of all incidents and changes
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 # 43
What is thedefault Access Controlfor anew Indicator?

A. Visible to Everyone, Visible by All Roles is False, role required is pa_admin
B. Visible to Everyone, Visible by All Roles is True
C. Visible to Just Me, Visible by All Roles is False
D. Visible to Just Me, Visible by All Roles is False, role required is pa_admin

Answer: C

Explanation:
By default, a newly created Platform Analytics indicator isVisible to Just Me, andVisible by All Rolesis set toFalse. This ensures that indicators are private to their creator until explicitly shared.
No role is required by default, and visibility must be intentionally expanded by updating the access control settings. This design supports governance and prevents incomplete or experimental indicators from being exposed prematurely. ServiceNow documentation confirms this default behavior, making option A the correct answer.

NEW QUESTION # 44
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. Set theShow multiple elements asproperty toSeparate
C. Apply an elements filter to return High and Critical incidents only
D. CheckManual elementsand add widget elements for the High and Critical incidents

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 # 45
Which statements describe the respective Performance Analytics object behavior?

A. Indicator Sources with a Monthly frequency can still be collected in a Daily job
B. Breakdowns require a Breakdown Mapping to be added to an Automated Indicator
C. The frequency of an Indicator can differ from that of an Indicator Source
D. Data collection must be completed before assigning Breakdowns to an Indicator

Answer: A,C

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 # 46
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