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ServiceNow CIS-PA Exam Syllabus Topics:

TopicDetails
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
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.
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.

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q23-Q28):

NEW QUESTION # 23
When configuring a newMetric Definitionto track theduration an incident is assigned to a specific group, whichtypeshould be selected?

Answer: D

Explanation:
To track how long an incident remains assigned to a specific group, the correct Metric Definition type isField value duration. This type measures the amount of time a record spends with a particular value in a specified field, such as assignment_group.
State change metrics track transitions between states, not time spent in a field value. Script calculations are used only when duration cannot be calculated through standard field tracking. "Assignment group" is a field, not a metric type. ServiceNow documentation specifies that Field value duration metrics are designed for tracking time spent in a given field value, making option A the correct choice.


NEW QUESTION # 24
What configuration setting should be used to run aHistorical Collection Job?

Answer: D

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 # 25
Which user should you run Data Collections as?

Answer: B

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 scenario requires ascripted Breakdown Mapping?

Answer: C

Explanation:
Ascripted Breakdown Mappingis required when there isno direct field relationshipbetween the Indicator source data and the Breakdown source table. In such cases, standard field mapping cannot resolve how indicator records should be categorized, so a script is needed to programmatically determine the correct breakdown value.
Mapping to a Sys ID field (option B) is supported through standard mappings. Database views (option C) can still be mapped if fields are accessible. Dot-walked fields (option D) are commonly supported without scripting. According to ServiceNow Platform Analytics documentation, scripted mappings are specifically intended forcomplex or indirect relationships, making option A the correct answer.


NEW QUESTION # 27
What is the purpose of using aBucket Group?

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 # 28
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