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| Section | Objectives |
|---|---|
| Topic 1: Performance Analytics | - Indicators and breakdowns
|
| Topic 2: Platform Analytics Overview | - Platform Analytics fundamentals
|
| Topic 3: Analytics Hub | - Analytics Hub features
|
| Topic 4: Data Collection and Configuration | - Collect data
|
| Topic 5: Reporting and Dashboards | - Dashboards
|
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NEW QUESTION # 23
Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?
Answer: D
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 # 24
Where areNext Experience DashboardsandData Visualizationscreated?
Answer: A
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 # 25
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?
Answer: A
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 # 26
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?
Answer: B
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 # 27
What happens when you select a predefined filter condition in the data source selection screen?
Answer: B
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
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