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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration and Advanced Implementation Solutions | 5% | - Spotlight configuration and usage - Advanced data collection scenarios - Content packs deployment |
| Topic 2: Configure Breakdowns and Breakdown Sources | 25% | - Breakdown sources configuration - Breakdown mappings - Scripted breakdown mapping - Breakdown matrix and exclusions - Bucket groups configuration |
| Topic 3: Data Visualization and Dashboards | 25% | - Visualization types and selection - Performance optimization and access control - Unified filters and interactions - Dashboard creation and management - KPI Details analysis and usage |
| Topic 4: Architecture and Deployment | 10% | - Deployment tasks and sequence - Personas and stakeholders - Platform Analytics solution components - Common use cases |
| Topic 5: Configure Indicators and Indicator Sources | 25% | - Indicator configuration properties - Aggregation scripts creation - Source conditions and facts tables configuration - Indicator types and differences |
| Topic 6: Data Collection | 10% | - Data collection process flow - Fine-tuning and troubleshooting collection jobs - Collection properties configuration |
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NEW QUESTION # 40
Which data is loaded when you view aPerformance Analytics Dashboard?
Answer: D
Explanation:
When a Performance Analytics dashboard is opened, ServiceNow loadsonly the widgets configured on the currently active tab. Widgets on other tabs are not loaded until the user clicks those tabs. This behavior is intentional and supportsperformance optimization, especially for dashboards containing many analytics widgets or complex queries.
Widgets are not limited by view rules alone, and ServiceNow does not preload widgets from all tabs.
Additionally, widgets that require scrolling are still loaded as long as they are part of the active tab.
ServiceNow documentation confirms that dashboard widgets are loadedper tab, reducing unnecessary data processing and improving load times. Therefore, option A is the correct and documented behavior.
NEW QUESTION # 41
Choose 2 options.
Whichformulaissyntactically CORRECTin ServiceNow Performance Analytics, assuming that allIndicator names are valid?
Answer: A,B
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 # 42
Which statements describe the respective Performance Analytics object behavior?
Answer: B,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 # 43
An Indicator stores the value42502.
If thePrecisionis set to2, what is displayed in aScore widget?
Answer: D
Explanation:
In Platform Analytics score widgets, thePrecisionsetting controls how numeric values areabbreviated and roundedfor display. When precision is set to2, large numbers are displayed usingcompact notation(such ask for thousands) with two significant digits.
A stored value of42,502is therefore displayed as4.25k, improving readability while preserving meaningful precision. Full numeric formatting or fixed decimal display is not the default behavior for score widgets.
ServiceNow documentation confirms that precision affectsabbreviated score presentation, making optionB the correct answer.
NEW QUESTION # 44
A filtered Time Series widget shows individual trends for the number of open incidents with High and Critical priorities.
Which action configures the Responsive Canvas Dashboard to show acombined trendfor the Critical and High-priority incidents?
Answer: B
Explanation:
In Responsive Canvas dashboards, when a Time Series widget contains multiple elements, theShow multiple elements asproperty controls how those elements are visualized. Setting this property toAggregatecombines the values of all returned elements into asingle trend line, which is exactly the desired outcome when viewing a combined trend for High and Critical priority incidents.
Applying an elements filter (option D) limits which elements are displayed but does not combine them into one trend. Setting the property toSeparate(option C) explicitly shows individual trend lines for each element.
Manually adding elements (option B) still results in multiple distinct series unless aggregation is enabled.
According to ServiceNow Platform Analytics documentation, aggregation is the correct method for consolidating multiple indicator elements into one unified visualization on a dashboard.
NEW QUESTION # 45
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