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| Section | Weight | Objectives |
|---|---|---|
| Configure Indicators and Indicator Sources | 25% | - Source conditions and facts tables configuration - Indicator types and differences - Aggregation scripts creation - Indicator configuration properties |
| Architecture and Deployment | 10% | - Deployment tasks and sequence - Personas and stakeholders - Common use cases - Platform Analytics solution components |
| Data Collection | 10% | - Fine-tuning and troubleshooting collection jobs - Collection properties configuration - Data collection process flow |
| Data Visualization and Dashboards | 25% | - Dashboard creation and management - Performance optimization and access control - KPI Details analysis and usage - Unified filters and interactions - Visualization types and selection |
| Configure Breakdowns and Breakdown Sources | 25% | - Breakdown sources configuration - Scripted breakdown mapping - Breakdown matrix and exclusions - Bucket groups configuration - Breakdown mappings |
| Administration and Advanced Implementation Solutions | 5% | - Spotlight configuration and usage - Content packs deployment - Advanced data collection scenarios |
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NEW QUESTION # 60
Choose 2 options.
Which types ofcalendarsare supported on anIndicator Source?
Answer: A,D
Explanation:
Indicator Sources in Platform Analytics supportStandard calendarsandCustom calendarsto control how data collection aligns with business time definitions. TheStandard Calendaruses regular system time, while Custom Calendarsallow organizations to define business-specific working days, holidays, and schedules.
Fiscal calendars are used for financial reporting but are not supported directly by Indicator Sources. Resource and Docket calendars are unrelated to analytics collection. ServiceNow documentation explicitly states that Indicator Sources rely on standard or custom calendars for accurate time-based aggregation, making optionsB and Ethe correct answers.
NEW QUESTION # 61
Which role allows forcreating Indicators and DashboardsbutnotmanagingData Collection jobs or Indicator Sources?
Answer: C
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 # 62
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 # 63
Choose 2 options.
Whichformulaissyntactically CORRECTin ServiceNow Performance Analytics, assuming that allIndicator names are valid?
Answer: A,D
Explanation:
InPerformance Analytics Formula Indicators, indicator references must followstrict syntax rules:
* Indicator names must be enclosed insingle square brackets:[Indicator name]
* Mathematical operators must be valid
* Parentheses must be properly paired
* Curly braces { } and double square brackets [[ ]] arenot validfor indicator references Let's evaluate each option:
* Option A - IncorrectUses indicator nameswithout square brackets, which is invalid syntax.
* Option B - IncorrectUsescurly braces { }, which are not supported for indicator references, and also has ambiguous operator precedence.
* Option C - CorrectUses propersingle square brackets, valid arithmetic operators, and correctly nested parentheses. This is a common and documented formula pattern for calculating percentage improvement against a baseline.
* Option D - CorrectUses valid square-bracket indicator references and proper arithmetic. Even though it is logically redundant, it issyntactically valid, which is what the question asks.
* Option E - IncorrectUsesdouble square bracketsand mismatched braces { ), which is invalid syntax.
NEW QUESTION # 64
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?
Answer: C
Explanation:
Historic Data Collection is designed to accurately reconstructpast indicator scoresbased on historical records. Indicators that rely oncalculated age values, such assummed age of open problems, cannot be accurately reconstructed because age is atime-relative valuethat depends on the exact moment of calculation.
Count-based indicators (options A, B, and D) can be recalculated historically by evaluating record states at specific points in time. However, summing age values requires knowing the precise age of each record at each historical interval, which is not reliably reproducible. ServiceNow documentation explicitly warns against using historic data collection forage-based and duration-sum indicators, making option C the correct exclusion.
NEW QUESTION # 65
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