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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Visualization and Dashboards | 25% | - Visualization types and selection - Performance optimization and access control - Dashboard creation and management - KPI Details analysis and usage - Unified filters and interactions |
| Topic 2: Data Collection | 10% | - Collection properties configuration - Fine-tuning and troubleshooting collection jobs - Data collection process flow |
| Topic 3: Administration and Advanced Implementation Solutions | 5% | - Spotlight configuration and usage - Advanced data collection scenarios - Content packs deployment |
| Topic 4: Configure Indicators and Indicator Sources | 25% | - Indicator types and differences - Source conditions and facts tables configuration - Indicator configuration properties - Aggregation scripts creation |
| Topic 5: Architecture and Deployment | 10% | - Personas and stakeholders - Platform Analytics solution components - Common use cases - Deployment tasks and sequence |
| Topic 6: Configure Breakdowns and Breakdown Sources | 25% | - Breakdown sources configuration - Breakdown mappings - Bucket groups configuration - Breakdown matrix and exclusions - Scripted breakdown mapping |
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NEW QUESTION # 32
Choose 2 options.
Which types ofcalendarsare supported on anIndicator Source?
Answer: D,E
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 # 33
What does the"Allow formula component to be NULL"setting for aFormula Indicatordo?
Answer: B
Explanation:
TheAllow formula component to be NULLsetting controls how a Formula Indicator behaves when one or more component indicators return NULL values. When enabled, the formula continues to calculate using the available components instead of aborting the calculation.
If this setting is disabled and any component returns NULL, the entire formula result becomes NULL. The setting does not automatically convert NULLs to zero, nor does it skip calculation entirely. ServiceNow documentation explains that this option provides flexibility in environments where some component indicators may not have data for every period, ensuring the formula can still produce meaningful results.
Therefore, option D accurately describes the behavior.
NEW QUESTION # 34
Which role allows forcreating Indicators and DashboardsbutnotmanagingData Collection jobs or Indicator Sources?
Answer: B
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 # 35
Which statements describe the respective Performance Analytics object behavior?
Answer: C,D
Explanation:
In ServiceNow Performance Analytics,Indicator SourcesandIndicatorsare distinct objects with different responsibilities, and understanding their behavior is essential for correct architecture and deployment.
Option A is correct.
Indicator Sources definehowandwhen raw data is queried, but they can be reused by multiple data collection jobs. Even if an Indicator Source is configured with aMonthly frequency, it can still be executed by aDaily data collection job. The job frequency controls execution timing, not the source frequency itself. This reuse is a documented performance optimization in Platform Analytics.
Option C is correct.
TheIndicator frequency is independent of the Indicator Source frequency. For example, an Indicator Source may collect daily raw data, while the Indicator aggregates and stores scores weekly or monthly. This separation allows flexible aggregation strategies and is explicitly supported by Platform Analytics design.
Option B is incorrectbecause Breakdowns require aBreakdown Mapping, but they are not inherently tied only to Automated Indicators, nor is this statement describing object behavior accurately in isolation.
Option D is incorrectbecause Breakdowns can be assigned to an Indicatorbefore or after data collection; they are applied when the next collection runs.
NEW QUESTION # 36
Choose 2 options.
Which variables are used in aPerformance Analytics scriptwithout being defined in theFieldslist?
Answer: B,E
Explanation:
In Performance Analytics scripted indicators, certainsystem-provided variablesare automatically available without being explicitly defined in the Fields list. The variablesscore_startandscore_endrepresent thestart and end timestampsof the reporting period for which the indicator score is being calculated. These variables are essential for time-aware calculations and historical accuracy.
Fields such as sys_created_on and sys_updated_on must be explicitly added to the Fields list if they are used in scripts. collection_job_start and collection_job_end are not available script variables in indicator calculations. ServiceNow documentation clearly identifies score_start and score_end as built-in variables available to Performance Analytics scripts, making optionsB and Fthe correct answers.
NEW QUESTION # 37
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