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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Collection | 10% | - Collection properties configuration - Fine-tuning and troubleshooting collection jobs - Data collection process flow |
| Topic 2: Data Visualization and Dashboards | 25% | - Performance optimization and access control - Unified filters and interactions - Visualization types and selection - KPI Details analysis and usage - Dashboard creation and management |
| Topic 3: Configure Breakdowns and Breakdown Sources | 25% | - Bucket groups configuration - Breakdown matrix and exclusions - Scripted breakdown mapping - Breakdown sources configuration - Breakdown mappings |
| Topic 4: Architecture and Deployment | 10% | - Personas and stakeholders - Deployment tasks and sequence - Platform Analytics solution components - Common use cases |
| Topic 5: Administration and Advanced Implementation Solutions | 5% | - Advanced data collection scenarios - Content packs deployment - Spotlight configuration and usage |
| Topic 6: Configure Indicators and Indicator Sources | 25% | - Source conditions and facts tables configuration - Indicator configuration properties - Indicator types and differences - Aggregation scripts creation |
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NEW QUESTION # 57
When using aBucket Groupas a Breakdown Source, which is the required Breakdown SourceFacts table?
Answer: B
Explanation:
When aBucket Groupis used as a Breakdown Source in Platform Analytics, the requiredFacts tableisBucket
[pa_buckets]. Bucket Groups define how numeric or duration values (such as age, time, or cost ranges) are grouped, but they do not store analytics facts themselves. The actual bucketed values generated during data collection are stored in thepa_bucketstable, which makes it the authoritative facts table for bucket-based breakdowns.
Thepa_bucket_groupstable only stores configuration metadata for bucket definitions. Thesys_choicetable is used exclusively for choice list values and is unrelated to bucket analytics. The Indicator Facts table stores indicator scores but does not contain bucket-level breakdown data. ServiceNow documentation explicitly states that any breakdown based on bucket groups must reference thepa_bucketstable to ensure accurate historical analysis and proper breakdown rendering. Therefore, option C is the only correct answer.
NEW QUESTION # 58
You see this error in aBreakdown Source:
Which action resolves the issue?
Answer: D
Explanation:
In ServiceNow Platform Analytics, aBreakdown Sourceis automatically disabled when the number of generated breakdown elements exceeds themaximum element limitdefined in system properties (for example, properties controlling the maximum allowed breakdown elements during data collection). This safeguard exists to protect system performance and prevent excessive storage and processing during data collection jobs.
When this error occurs, therecommended and documented resolutionisnotto increase the system property arbitrarily. Increasing the global limit can negatively impact performance across all analytics workloads and is discouraged unless there is a strong architectural justification.
Instead, ServiceNow best practice is torefine the Breakdown Source conditions-for example, by adding filters, narrowing scope, or excluding unnecessary records-so that the number of returned elements falls below the configured system threshold. Once the conditions are optimized, you can safely re-enableDC active, and the breakdown will participate in data collection successfully.
Simply re-enabling DC active without reducing elements will cause the breakdown to be disabled again, and deleting/recreating the source does not address the root cause. Therefore,option Dis the correct and fully supported resolution according to ServiceNow Platform Analytics documentation and best practices.
NEW QUESTION # 59
How candashboard filtersretain their values acrosslogins and page refreshes?
Answer: B
Explanation:
Dashboard filters retain their values across page refreshes and user navigation throughsession-based persistence. When this option is enabled, filter selections are stored for the duration of the user's session and automatically reapplied as the user navigates or refreshes the page.
Favorites and global defaults define starting values, not persistence behavior. Applying a filter to the entire dashboard controls scope, not retention. ServiceNow documentation explains that session persistence is the mechanism that maintains filter state, making option C the correct answer.
NEW QUESTION # 60
How can aBreakdownbe applied tomultiple Indicatorsbased ondifferent Facts tables?
Answer: A
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 # 61
When areAdditional conditionsof an Indicator evaluated duringData Collection?
Answer: D
Explanation:
During data collection, Platform Analytics first applies theIndicator Source conditionsto retrieve the base dataset. Once the source data is identified, the system then evaluates theAdditional conditionsdefined on the Indicator itself.
This separation allows indicator-specific filtering without duplicating logic in the indicator source, supporting reuse and performance optimization. Additional conditions do not run in parallel with source conditions and are not evaluated at visualization time. ServiceNow documentation explicitly explains that Indicator conditions refine the datasetafterthe source query executes, making option D the correct answer.
NEW QUESTION # 62
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