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| Section | Weight | Objectives |
|---|---|---|
| Configure Breakdowns and Breakdown Sources | 25% | - Breakdown mappings - Breakdown sources configuration - Scripted breakdown mapping - Breakdown matrix and exclusions - Bucket groups configuration |
| Configure Indicators and Indicator Sources | 25% | - Indicator types and differences - Source conditions and facts tables configuration - Indicator configuration properties - Aggregation scripts creation |
| Architecture and Deployment | 10% | - Deployment tasks and sequence - Platform Analytics solution components - Common use cases - Personas and stakeholders |
| Administration and Advanced Implementation Solutions | 5% | - Content packs deployment - Advanced data collection scenarios - Spotlight configuration and usage |
| Data Visualization and Dashboards | 25% | - Dashboard creation and management - Unified filters and interactions - KPI Details analysis and usage - Visualization types and selection - Performance optimization and access control |
| Data Collection | 10% | - Data collection process flow - Fine-tuning and troubleshooting collection jobs - Collection properties configuration |
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NEW QUESTION # 32
When areAdditional conditionsof an Indicator evaluated duringData Collection?
Answer: B
Explanation:
During data collection, Platform Analytics first applies theIndicator Source conditionsto retrieve the base dataset. Once the source data is identified, the system then evaluates theAdditional conditionsdefined on the Indicator itself.
This separation allows indicator-specific filtering without duplicating logic in the indicator source, supporting reuse and performance optimization. Additional conditions do not run in parallel with source conditions and are not evaluated at visualization time. ServiceNow documentation explicitly explains that Indicator conditions refine the datasetafterthe source query executes, making option D the correct answer.
NEW QUESTION # 33
Which of the following statements best describes an Automated Indicator?
Answer: A
Explanation:
AnAutomated Indicatorin Platform Analytics is defined as aseries of measurements collected over time that represent the performance of a process. These measurements are stored astime series data, allowing organizations to analyze trends, patterns, and historical performance. Automated indicators rely onindicator sourcesandscheduled data collection jobsto collect data at defined intervals, such as daily or hourly.
Option B describes asnapshot report, which represents data at a single point in time and does not support trending. Option C refers tobreakdowns, which categorize indicator scores for deeper analysis but do not define the indicator itself. Option D describes thedata collection job, which is a mechanism used by automated indicators but not the indicator definition. ServiceNow documentation explicitly states that indicators represent performance over time, making option A the correct and most complete description of an Automated Indicator.
NEW QUESTION # 34
What specifies thebase table and fieldused to uniquely identify elements in aBreakdown Source?
Answer: C
Explanation:
A Breakdown Source relies on theFacts tableand aunique identifier field (typically the Sys ID)to define how breakdown elements are generated and linked to indicator scores. The Facts table specifies where the breakdown data originates, while the Sys ID field uniquely identifies each breakdown element.
Related list conditions and labels do not define uniqueness. Indicator configuration and targets are unrelated to breakdown structure. Manual indicators and scoresheets are not involved in breakdown sourcing.
ServiceNow documentation clearly states that the Facts table and unique identifier are foundational to Breakdown Source configuration, making option B the correct answer.
NEW QUESTION # 35
What does the number of"Inserts"represent in aJob Logrecord?
Answer: A
Explanation:
In a Performance AnalyticsJob Log, theInsertsvalue represents the number ofanalytics score records written to the databaseduring that job run. These inserts typically correspond to new indicator scores added to theIndicator Factstable.
This value does not represent business records such as incidents, nor does it indicate how many source records were evaluated. Records examined and calculations performed may be far greater than the number of inserts, as only final score results are stored. ServiceNow documentation confirms that Job Log insert counts reflect stored analytics results, making option B the correct interpretation.
NEW QUESTION # 36
Which method in ServiceNow can be used to calculate therate of performance per reporting periodusing time series aggregations?
Answer: D
Explanation:
The pa.getRate() method is used in Platform Analytics to calculaterates of performance over time, such as incidents resolved per day, requests closed per week, or changes per reporting period. This method works on time series dataand applies aggregation logic to derive a rate rather than a raw count or sum.
pa.getChange() is used to calculate the difference between two data points, not a rate. pa.getIndicator() retrieves indicator metadata and does not perform calculations. gs.getDuration() is a general-purpose GlideSystem utility for calculating durations and is unrelated to analytics time series processing. ServiceNow documentation clearly identifies pa.getRate() as the appropriate API for rate-based calculations using historical indicator scores, making option D the correct answer.
NEW QUESTION # 37
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