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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Architecture and Deployment | 10% | - Deployment tasks and sequence - Personas and stakeholders - Platform Analytics solution components - Common use cases |
| Topic 2: Configure Indicators and Indicator Sources | 25% | - Indicator configuration properties - Aggregation scripts creation - Indicator types and differences - Source conditions and facts tables configuration |
| Topic 3: Data Visualization and Dashboards | 25% | - KPI Details analysis and usage - Dashboard creation and management - Unified filters and interactions - Performance optimization and access control - Visualization types and selection |
| Topic 4: Administration and Advanced Implementation Solutions | 5% | - Content packs deployment - Spotlight configuration and usage - Advanced data collection scenarios |
| Topic 5: Data Collection | 10% | - Fine-tuning and troubleshooting collection jobs - Data collection process flow - Collection properties configuration |
| Topic 6: Configure Breakdowns and Breakdown Sources | 25% | - Bucket groups configuration - Breakdown mappings - Breakdown sources configuration - Breakdown matrix and exclusions - Scripted breakdown mapping |
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NEW QUESTION # 16
Which Breakdown should be excluded from the Historical Data Collection job configured for the indicator Number of open and overdue incidents?
Answer: C
Explanation:
Historical Data Collection is intended to accurately reconstruct past indicator scores. Age-based breakdowns must be excluded because age is a time-relative value that cannot be reliably recalculated for historical points in time.
For the indicator Number of open and overdue incidents, breakdowns such as Location, Category, and State can be historically recalculated by evaluating record attributes at specific points in time. However, Age depends on the exact moment of evaluation and changes continuously, making it unsuitable for historical backfilling.
ServiceNow documentation explicitly warns against using age or duration-based breakdowns in historical data collection jobs, as they lead to inaccurate or misleading results. Therefore, option A is the correct and documented exclusion.
NEW QUESTION # 17
What is thedefault Access Controlfor anew Indicator?
Answer: D
Explanation:
By default, a newly created Platform Analytics indicator isVisible to Just Me, andVisible by All Rolesis set toFalse. This ensures that indicators are private to their creator until explicitly shared.
No role is required by default, and visibility must be intentionally expanded by updating the access control settings. This design supports governance and prevents incomplete or experimental indicators from being exposed prematurely. ServiceNow documentation confirms this default behavior, making option A the correct answer.
NEW QUESTION # 18
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?
Answer: C
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 # 19
What specifies thebase table and fieldused to uniquely identify elements in aBreakdown Source?
Answer: D
Explanation:
A Breakdown Source relies on theFacts tableand aunique identifier field (typically the Sys ID)to define how breakdown elements are generated and linked to indicator scores. The Facts table specifies where the breakdown data originates, while the Sys ID field uniquely identifies each breakdown element.
Related list conditions and labels do not define uniqueness. Indicator configuration and targets are unrelated to breakdown structure. Manual indicators and scoresheets are not involved in breakdown sourcing.
ServiceNow documentation clearly states that the Facts table and unique identifier are foundational to Breakdown Source configuration, making option B the correct answer.
NEW QUESTION # 20
What determines thecolor of the scorein aScore widget?
Answer: D
Explanation:
In ServiceNow Platform Analytics, thecolor of the score displayed in a Score widgetis determined by the Indicator's relationship to its targetin combination with theDirection setting(Maximize or Minimize) of the Indicator. This behavior is part of the KPI evaluation logic and is consistent across dashboards and KPI Details.
When an indicator has a defined target, Platform Analytics compares thecurrent scoreagainst that target.
Based on whether the indicator is configured tomaximize(higher is better) orminimize(lower is better), the platform automatically assigns a visual status-such as green (on track), yellow (warning), or red (off track).
This status directly controls thecolor of the score valueshown in the widget.
Chart colors, field styles, or widget-specific settings donotinfluence the score color. Those options may affect line charts or visual styling, but not KPI status coloring. ServiceNow documentation clearly states that KPI status and score coloring are driven bytarget evaluation logic, makingoption Athe correct and verified answer.
NEW QUESTION # 21
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