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| Section | Objectives |
|---|---|
| Goals and Thresholds | - Target setting and tracking
|
| Indicators and Data Sources | - Data collection setup
|
| Administration and Implementation | - System configuration
|
| Dashboards and Widgets | - Performance Analytics dashboards
|
| Performance Analytics Fundamentals | - Key concepts of Performance Analytics
|
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NEW QUESTION # 28
Which Indicator should beexcluded from a Historic Data Collectionbecause its scores cannot be accurately collected?
Answer: B
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 # 29
An Indicator stores the value42502.
If thePrecisionis set to2, what is displayed in aScore widget?
Answer: C
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 # 30
Choose 2 options.
Whichformulaissyntactically CORRECTin ServiceNow Performance Analytics, assuming that allIndicator names are valid?
Answer: A,E
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 # 31
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 # 32
Which scenarios require the use of ascripted Breakdown Mapping?
Answer: D
Explanation:
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.
NEW QUESTION # 33
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