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NEW QUESTION # 46
What condition do you use on the Elements Filter record for the 'Groups' Breakdown Source to get only groups that had an incident assigned to them?
Answer: D
Explanation:
When you create an element filter, you can include conditions on a related field in a different table than the breakdown source table.
Element filters enable you to limit the displayed breakdown elements on an Analytics Hub or widget using filter conditions, including personalised visuals.
You can select an element filter when viewing breakdowns on an Analytics Hub or configuring a breakdown widget.
For example, you could create an element filter on the Groups breakdown source, which uses the Group [sys_user_group] table. If you added a related list condition on Incident [incident]->Assignment group, you would get only groups that had an incident assigned to them. If this condition included [[Created][on][Last 6 Months]], you would get groups that were assigned an incident that was created within the last six months.
NEW QUESTION # 47
Which of the following are true statements about configuring pie, donut, and single score visualisations in workspaces?
Answer: A,B,D
Explanation:
A pie visualisation shows how individual pieces of data relate to the whole using a circle to represent the whole.
A Donut visualization shows how individual pieces of data relate to the whole using a donut shape to represent the whole.
Single score visualisations display a single, key business value or current aggregate indicator score. You can set a score to update in real-time.
The following enhancements are made to pie, donut, and single score visualisations in the Quebec release:
* The metric label name is displayed near the metric value.
* Legend percentages are shown along with values.
* Data labels are shown as only percentages, as values, or as both.
Gradient, texture, or no colour are not valid colour options for data display.
You can set ' default ' , ' colour palette ' and ' fixed element colour ' for pie and donut visualisations, and ' default ' and ' single colour ' for single score visualisations.
Reference:https://docs.servicenow.com/bundle/quebec-servicenow-platform/page/use/par-for-workspace
/concept/pie-donut-visualizations.html#pie-donut-visualizations
NEW QUESTION # 48
When using Text Analytics in Performance Analytics, what fields are analyzed?
Answer: B
Explanation:
The correct answer is C. Configured String fields from Indicator sources that have scores collected, because Text Analytics examines specifically configured textual information associated with Performance Analytics indicators.
Text Analytics enables organizations to extract meaningful information from unstructured text recorded in ServiceNow.
For example, administrators can analyze incident short descriptions to identify frequently occurring technical issues, recurring keywords, and emerging service problems.
The configuration process includes several stages.
First, an administrator selects an Indicator Source containing the relevant operational records.
Next, the administrator identifies the String fields to be analyzed. Common examples include Short description and other descriptive String fields.
ServiceNow does not support selecting arbitrary Journal fields, dot-walked fields, Translated Text fields, or fields with unsupported data types for this configuration.
The administrator then associates the Text Analytics configuration with the relevant indicators.
Finally, a data collection job runs to collect the required information and build the text indexes.
The resulting data can be displayed through Text Analytics widgets, including word clouds that illustrate frequently occurring terms.
The application does not automatically analyze every String field throughout the instance, nor is there a general restriction limiting analyzed strings to fewer than 100 characters.
Therefore, option C accurately describes the scope of Text Analytics processing.
References: ServiceNow Performance Analytics - Set Up Text Analytics; Text Index Configuration; Indicator Sources; Fields to Analyze; Collect Initial Text Analytics Data; Word Cloud Widgets.
NEW QUESTION # 49
Select the statements which correctly describe the respective Performance Analytics object behavior. (Choose two.)
Answer: B,C
Explanation:
The expected answers are A and D, because the frequency configured for indicator score periods and the execution schedule of a data collection job are separate configuration concepts.
Option A - Correct: An Indicator Source defines the underlying dataset and its standard collection frequency.
Indicators normally inherit this frequency, but ServiceNow documents that score collection-period behavior can be overridden at the indicator level. Such configurations must respect applicable calendar and frequency constraints.
Option D - Correct: A data collection job has an independently configured execution schedule. Consequently, an indicator associated with a monthly source can be included in a job scheduled to run daily. However, running that job daily does not automatically turn monthly indicator scores into daily scores. The configured collection periods and filtering logic still determine the data being measured.
Option B - Incorrect: Breakdowns can be configured and associated with indicators before the first data collection. Collection subsequently generates the breakdown scores.
Option C - Wording issue: Automated breakdowns do require appropriate mappings to relate source records to breakdown elements. However, Breakdown Mappings are defined against breakdowns and their applicable facts tables, rather than simply being added as independent mappings to an Automated Indicator.
The distinction is between configuring an indicator ' s analytical dimensions and scheduling the execution of collection jobs.
ServiceNow+3
References: ServiceNow Performance Analytics - Indicator Sources; Automated Indicators; Data Collection Jobs; Assign and Map Breakdowns; Collection Frequency.
NEW QUESTION # 50
Consider the following configurations and requirements:
* You plan to set up an Indicator, Average Assignment Duration, to trend the duration of time Resolved Incidents are assigned to Assignment Groups.
* There is an existing metric called Assignment Group which already tracks the duration of time an Incident is assigned to different Assignment Groups.
How would you configure the Indicator Source for the Average Assignment Duration Indicator?
Answer: C
Explanation:
The correct answer is A. Facts table: Incident Metric | Conditions: Resolved on Today AND Definition is Assignment Group.
ServiceNow uses Metric Definitions and Metric Instances to measure values that change during a record ' s lifecycle. The existing Assignment Group metric tracks how long incidents remain assigned to particular groups.
The Incident Metric database view (incident_metric) combines information from the Incident, Metric Definition, and Metric Instance tables. This makes it suitable for analyzing assignment durations alongside incident resolution information.
Configure the Indicator Source as follows:
* Facts table: Incident Metric [incident_metric]
* Frequency: Daily
* Condition 1: Resolved on Today
* Condition 2: Definition is Assignment Group
The first condition restricts the dataset to incidents resolved during the current collection period. The second selects metric instances generated by the existing Assignment Group metric definition.
The automated indicator can then use Average aggregation on the Duration field to calculate average assignment duration.
The Incident table alone does not contain the complete assignment-duration history. Additionally, the metric instance Value field identifies the actual assignment group, not the metric definition.
Therefore, filtering Value is Assignment Group would be incorrect.
ServiceNow documents Incident Metric as a database view specifically designed to combine incident and metric data for reporting and analytical calculations.
ServiceNow+2
References: ServiceNow Performance Analytics - Indicator Sources; Database Views in the Base System; Metric Definitions; Metric Instances; Automated Indicator Aggregation.
NEW QUESTION # 51
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