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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration and Advanced Implementation Solutions | 5% | - Content packs deployment - Advanced data collection scenarios - Spotlight configuration and usage |
| Topic 2: Data Visualization and Dashboards | 25% | - Performance optimization and access control - Dashboard creation and management - Unified filters and interactions - KPI Details analysis and usage - Visualization types and selection |
| Topic 3: Data Collection | 10% | - Data collection process flow - Collection properties configuration - Fine-tuning and troubleshooting collection jobs |
| Topic 4: Configure Breakdowns and Breakdown Sources | 25% | - Breakdown matrix and exclusions - Bucket groups configuration - Scripted breakdown mapping - Breakdown mappings - Breakdown sources configuration |
| Topic 5: Configure Indicators and Indicator Sources | 25% | - Aggregation scripts creation - Indicator types and differences - Source conditions and facts tables configuration - Indicator configuration properties |
| Topic 6: Architecture and Deployment | 10% | - Personas and stakeholders - Platform Analytics solution components - Deployment tasks and sequence - Common use cases |
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NEW QUESTION # 40
When using aBucket Groupas a Breakdown Source, which is the required Breakdown SourceFacts table?
Answer: A
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 # 41
You see this error in aBreakdown Source:
Which action resolves the issue?
Answer: B
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 # 42
An Indicator stores the value7423.3.
If thePrecisionis set to0, what is displayed in aScore widget?
Answer: B
Explanation:
In ServiceNow Platform Analytics, thePrecisionsetting controls how numeric values arerounded and abbreviatedwhen displayed inScore widgets. When Precision is set to0, the platform displays values using compact notation(such askfor thousands orMfor millions) withno decimal places.
For a stored value of7423.3, Precision 0 causes the value to be rounded to the nearest thousand and displayed as7k. Platform Analytics does not display the full raw number unless compact notation is disabled or precision is increased. Option B (7000) and option D (7423) represent numeric rounding but not thecompact display formatused by score widgets. Option C is incorrect because Precision 0 explicitly removes decimals and applies abbreviation.
ServiceNow documentation confirms that score widgets useprecision-based compact formatting, making7k the correct displayed value when Precision is set to 0.
NEW QUESTION # 43
What functionality lets youvisualize indicator data over timein units representing periods such asyear, quarter, and similar fiscal periods?
Answer: A
Explanation:
Fiscal Calendarsallow Platform Analytics to aggregate and visualize indicator data usingfiscal periodssuch as fiscal years, quarters, and accounting periods. This is essential for organizations that do not follow standard calendar years for reporting and performance measurement.
Gregorian calendars use standard date boundaries, while Business Calendars define working and non-working time for duration calculations. Timecard calendars are unrelated to analytics aggregation. ServiceNow documentation clearly states that fiscal period-based analysis is enabled through Fiscal Calendars, making optionBthe correct answer.
NEW QUESTION # 44
Which role allows forcreating Indicators and DashboardsbutnotmanagingData Collection jobs or Indicator Sources?
Answer: D
Explanation:
ThePA Contributorrole is designed for users who create and configureIndicators, Breakdowns, and Dashboards, but who should not have administrative control overdata collection jobs, indicator sources, or system-level analytics settings.
PA Admin has full control, including job and source management. PA Data Collector is focused on executing collection jobs only. PA Power User is primarily for analysis and dashboard consumption rather than content creation. ServiceNow documentation defines PA Contributor as the correct role for content creation without administrative privileges, making optionBcorrect.
NEW QUESTION # 45
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