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| Section | Weight | Objectives |
|---|---|---|
| Architecture and Deployment | 10% | - Platform Analytics solution components - Personas and stakeholders - Common use cases - Deployment tasks and sequence |
| Configure Indicators and Indicator Sources | 25% | - Indicator configuration properties - Indicator types and differences - Aggregation scripts creation - Source conditions and facts tables configuration |
| Data Visualization and Dashboards | 25% | - Performance optimization and access control - Unified filters and interactions - Dashboard creation and management - KPI Details analysis and usage - Visualization types and selection |
| Configure Breakdowns and Breakdown Sources | 25% | - Bucket groups configuration - Breakdown sources configuration - Scripted breakdown mapping - Breakdown mappings - Breakdown matrix and exclusions |
| Administration and Advanced Implementation Solutions | 5% | - Advanced data collection scenarios - Content packs deployment - Spotlight configuration and usage |
| Data Collection | 10% | - Fine-tuning and troubleshooting collection jobs - Data collection process flow - Collection properties configuration |
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NEW QUESTION # 44
How manySQL queriesare executed during a30-day historical collectionif all10 indicatorsin the historical collection share thesame daily indicator source?
Answer: D
Explanation:
Platform Analytics optimizes historical data collection by executingone query per indicator source per day, regardless of how many indicators reference that source. If 10 indicators share the same daily indicator source, the system executesonly one SQL query per day, not one per indicator.
Over a 30-day historical collection period, this results in30 SQL queries total. This optimization significantly reduces database load and improves performance. ServiceNow documentation explicitly highlights this behavior as a best-practice advantage of reusing indicator sources. Therefore, option C is the correct and documented answer.
NEW QUESTION # 45
Who is theIn-Line Dashboard Editorintended for?
Answer: A
Explanation:
TheIn-Line Dashboard Editoris designed primarily forbusiness userswho need to make quick, simple adjustments to dashboards without deep technical knowledge. It allows users to edit layouts, move widgets, and make basic configuration changes directly from the dashboard view.
System administrators and developers typically use the full dashboard configuration interfaces for advanced customization, scripting, or governance. External contractors are not a defined target audience for this feature.
ServiceNow documentation emphasizes that the in-line editor empowers non-technical users to personalize dashboards safely and efficiently, making option A the correct answer.
NEW QUESTION # 46
What happens whenCollect recordsis enabled on an Automated Indicator form?
Answer: D
Explanation:
WhenCollect recordsis enabled on an Automated Indicator, Platform Analytics stores thesys_ids of the recordsthat contributed to each indicator score at collection time. This capability enablesdrill-down functionality, allowing users to view the exact records behind a score directly from analytics widgets and dashboards. Importantly, Platform Analytics doesnot store full copies of records-only the identifiers- ensuring historical accuracy while maintaining storage efficiency.
Option A describes thepreview featureavailable when defining indicator conditions, not record collection.
Option B refers tomanual data collection, which is triggered separately. Option C is incorrect because Platform Analytics does not retain full record snapshots. ServiceNow documentation clearly states that enabling Collect records allows analytics users to drill into the contributing records for any given score, making option D the correct and precise answer.
NEW QUESTION # 47
Which statement describesPerformance Analytics Spotlight?
Answer: C
Explanation:
Performance Analytics Spotlightis a feature that provides aranked list of recordsbased onmultiple weighted conditions, helping users focus on the most critical records that require attention. Spotlight differs from traditional reports and time-series analytics because it evaluates records dynamically using scoring logic rather than historical aggregation.
Option A describes dashboard visualizations such as time series or scorecards. Option B refers to record views, not analytics. Option D describes Performance Analytics indicators, which track trends over time.
ServiceNow documentation clearly defines Spotlight as a prioritization tool that ranks records using configurable rules and weights, making option C the correct and complete description.
NEW QUESTION # 48
Which scenarios require the use of ascripted Breakdown Mapping?
Answer: A
Explanation:
Ascripted Breakdown Mappingis required when the breakdown value cannot be obtained through adirect field mappingor simple reference relationship. Categorizing requests based onthe number of times they were updatedrequires calculating a value dynamically (for example, counting updates from the audit history), which is not stored as a single field on the record. Because this value must be derived programmatically, a scripted mapping is necessary.
Options B and C use existing fields (category, priority) that can be mapped directly without scripting. Option D usesage ranges, which are handled throughBucket Groupsand thepa_bucketstable, not scripted mappings.
ServiceNow documentation clearly states that scripted mappings are intended forcalculated, derived, or indirect values, making option A the correct answer.
NEW QUESTION # 49
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