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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
  • Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.
Topic 3
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
Topic 4
  • 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 5
  • 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 6
  • Configure Breakdowns and Breakdown Sources: This section covers setting up breakdowns to analyze indicators across different dimensions, including breakdown mappings, matrices, exclusions, scripted mappings, and bucket groups.

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q46-Q51):

NEW QUESTION # 46
Which of the following accurately describes howFormula Indicatorsare calculated in ServiceNow?

Answer: A

Explanation:
Formula Indicators in Platform Analytics arepre-calculated during data collectionand their results arestored in the Indicator Facts table, just like automated indicators. They are not calculated in real time when a dashboard is viewed. Instead, they use the previously collected scores of their component indicators to compute a derived value at collection time.
This design ensures consistent historical analysis, predictable performance, and accurate trending. Real-time calculation would undermine historical integrity and dashboard performance, which is why ServiceNow explicitly avoids it for formula indicators. The stored results can then be reused across dashboards and reports without recalculation. ServiceNow documentation clearly states that formula indicators behave like other indicators in that they arepersisted for future analysis, making option C correct.


NEW QUESTION # 47
Choose 2 options.
Which variables are used in aPerformance Analytics scriptwithout being defined in theFieldslist?

Answer: B,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 # 48
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?

Answer: D

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 # 49
What is aBreakdown?

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 # 50
How many queries are performed against the database when aDaily Data Collection jobis executed?

Answer: A

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 # 51
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