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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Indicators and Indicator Sources | 25% | - Aggregation scripts creation - Source conditions and facts tables configuration - Indicator configuration properties - Indicator types and differences |
| Topic 2: Administration and Advanced Implementation Solutions | 5% | - Content packs deployment - Advanced data collection scenarios - Spotlight configuration and usage |
| Topic 3: Data Collection | 10% | - Collection properties configuration - Fine-tuning and troubleshooting collection jobs - Data collection process flow |
| Topic 4: Data Visualization and Dashboards | 25% | - Visualization types and selection - Performance optimization and access control - KPI Details analysis and usage - Unified filters and interactions - Dashboard creation and management |
| Topic 5: Configure Breakdowns and Breakdown Sources | 25% | - Scripted breakdown mapping - Breakdown matrix and exclusions - Breakdown mappings - Bucket groups configuration - Breakdown sources configuration |
| Topic 6: Architecture and Deployment | 10% | - Personas and stakeholders - Deployment tasks and sequence - Common use cases - Platform Analytics solution components |
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問題 #25
Which scenarios require the use of ascripted Breakdown Mapping?
答案：B
解題說明：
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.
問題 #26
Which type of Indicator allows enablingShow real-time score?
答案：B
解題說明：
TheShow real-time scoreoption is available only fornon-scripted Automated Indicators. These indicators are based on standard indicator sources and conditions that can be safely recalculated on demand without scripting complexity.
Scripted automated indicators and formula indicators depend on stored historical values and custom logic, which cannot be reliably recalculated in real time. Manual indicators rely on user-entered values and also do not support real-time calculation. ServiceNow documentation explicitly limits real-time scoring to non- scripted automated indicators to preserve performance and data integrity. Therefore, option D is the correct answer.
問題 #27
When areAdditional conditionsof an Indicator evaluated duringData Collection?
答案：D
解題說明：
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.
問題 #28
What is the purpose of aBreakdown Source?
答案：C
解題說明：
ABreakdown Sourcedefines how data isclassified into distinct breakdown elementsfor analysis. It identifies the table and field (or script) used to generate the unique values-such as categories, priorities, assignment groups, or buckets-that segment indicator scores.
Default element filters are configured on the Breakdown, not the Breakdown Source. Indicators are linked to Breakdowns through Breakdown Mappings, not selected at the source level. While bucket-based sources support non-categorical data, their core purpose remains identifying unique breakdown elements. ServiceNow documentation emphasizes that the Breakdown Source is responsible for definingwhere breakdown values come from and how they are identified, making option C the correct answer.
問題 #29
How manySQL queriesare executed during a30-day historical collectionif all10 indicatorsin the historical collection share thesame daily indicator source?
答案：D
解題說明：
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.
問題 #30
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