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| Section | Objectives |
|---|---|
| Platform Analytics Overview | - Platform Analytics fundamentals
|
| Reporting and Dashboards | - Reports
|
| Analytics Hub | - Analytics Hub features
|
| Performance Analytics | - Data collection jobs
|
| Data Collection and Configuration | - Configure data sources
|
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NEW QUESTION # 28
What does the number of"Inserts"represent in aJob Logrecord?
Answer: C
Explanation:
In a Performance AnalyticsJob Log, theInsertsvalue represents the number ofanalytics score records written to the databaseduring that job run. These inserts typically correspond to new indicator scores added to theIndicator Factstable.
This value does not represent business records such as incidents, nor does it indicate how many source records were evaluated. Records examined and calculations performed may be far greater than the number of inserts, as only final score results are stored. ServiceNow documentation confirms that Job Log insert counts reflect stored analytics results, making option B the correct interpretation.
NEW QUESTION # 29
Which Breakdown is most likely to use a Bucket Group as its Breakdown Source?
Answer: C
Explanation:
A Bucket Group is used in Platform Analytics to categorize numeric or time-based values into ranges. The Hour of day breakdown is a classic example of this usage, as it groups records into defined hourly ranges (for example, 00-01, 01-02, and so on).
Priority, Business Service, and Assignment Group are categorical fields that use direct field mappings and do not require bucket logic. Bucket Groups are specifically intended for non-categorical data such as time, age, duration, or numeric ranges. ServiceNow documentation explicitly identifies time-based breakdowns, such as hour of day or age ranges, as appropriate use cases for Bucket Groups. Therefore, option A is the correct answer.
NEW QUESTION # 30
Which feature in Platform Analytics enables the sharing of visualizations on any dashboard?
Answer: B
Explanation:
TheVisualization Libraryis the Platform Analytics feature that enables visualizations to be reused and shared acrossany dashboard. When a visualization (such as a time series, scorecard, or breakdown visualization) is saved to the Visualization Library, it becomes areusable analytics componentthat can be added to multiple dashboards without duplicating configuration. This ensures consistency in metrics, reduces maintenance overhead, and supports centralized governance of analytics content.
Dashboard Sharing, by contrast, controlswho can view or edit a dashboard, not how individual visualizations are reused across dashboards. Roles such as pa_kpi_signals_admin or report_admin provide administrative capabilities but do not enable cross-dashboard visualization reuse. According to ServiceNow Platform Analytics documentation, the Visualization Library is specifically designed to store, manage, and distribute analytics visualizations so they can be embedded in dashboards throughout the platform. This feature is essential in enterprise analytics implementations where the same KPIs and indicators must appear consistently across multiple dashboards and user audiences.
NEW QUESTION # 31
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?
Answer: B
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 # 32
Which of the following statements best describes an Automated Indicator?
Answer: A
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 # 33
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