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ServiceNow CIS-PA Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
Topic 3	Architecture and Deployment: This domain covers the foundational components of the Performance Analytics solution and the proper deployment sequence in ServiceNow environments.
Topic 4	Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.
Topic 5	Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.
Topic 6	Data Visualization: This section focuses on presenting data through widgets, interactive filters, appropriate visualizations, dashboards, and analyzing data using Analytics Hub and KPI Details.

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Certified Implementation Specialist - Platform Analytics Braindumps pdf - CIS-PA study guide

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q27-Q32):

NEW QUESTION # 27
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 saved and it will be automatically applied in future uses of the same data source
D. The filter is applied and it can be refined under the Conditions section

Answer: D

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 # 28
What functionality lets youvisualize indicator data over timein units representing periods such asyear, quarter, and similar fiscal periods?

A. Gregorian Calendars
B. Business Calendars
C. Fiscal Calendars
D. Timecard Calendars

Answer: C

Explanation:
Fiscal Calendarsallow Platform Analytics to aggregate and visualize indicator data usingfiscal periodssuch as fiscal years, quarters, and accounting periods. This is essential for organizations that do not follow standard calendar years for reporting and performance measurement.
Gregorian calendars use standard date boundaries, while Business Calendars define working and non-working time for duration calculations. Timecard calendars are unrelated to analytics aggregation. ServiceNow documentation clearly states that fiscal period-based analysis is enabled through Fiscal Calendars, making optionBthe correct answer.

NEW QUESTION # 29
Which of the following statements best describes an Automated Indicator?

A. A subcategorization of an indicator that provides more granular views of scores
B. A process summary taken at a single point in time
C. A series of measurements that describe a process over a period of time
D. A scheduled job that collects data

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 # 30
What is the primary function of theanalytics_filter_adminrole inAnalytics Center?

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

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 # 31
Which statements describe the respective Performance Analytics object behavior?

A. Data collection must be completed before assigning Breakdowns to an Indicator
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. Indicator Sources with a Monthly frequency can still be collected in a Daily job

Answer: C,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 # 32
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