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 a combined trend for the Critical and High-priority incidents?
Correct Answer: A
Explanation:
In Responsive Canvas dashboards, when a Time Series widget contains multiple elements, the Show multiple elements as property controls how those elements are visualized. Setting this property to Aggregate combines the values of all returned elements into a single 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 to Separate (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.
Question 2
Which of the following statements best describes an Automated Indicator?
Correct Answer: A
Explanation:
An Automated Indicator in Platform Analytics is defined as a series of measurements collected over time that represent the performance of a process. These measurements are stored as time series data, allowing organizations to analyze trends, patterns, and historical performance. Automated indicators rely on indicator sources and scheduled data collection jobs to collect data at defined intervals, such as daily or hourly. Option B describes a snapshot report, which represents data at a single point in time and does not support trending. Option C refers to breakdowns, which categorize indicator scores for deeper analysis but do not define the indicator itself. Option D describes the data 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.
Question 3
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?
Correct Answer: B
Explanation:
When creating a breakdown based on the age of a task, the correct Facts table for the Breakdown Source is Bucket [pa_buckets]. In Platform Analytics, age-based breakdowns (such as 0–5 days, 6–10 days, etc.) are not derived directly from the Task table. Instead, they use bucketed data, which is generated by bucket groups during data collection. The pa_buckets table stores the calculated bucket values for records at collection time, making it the authoritative facts table for age, duration, and numeric range breakdowns. Bucket Groups define how values are grouped, while the Bucket table stores the actual bucket assignments used in analytics. The Task table itself cannot be used as the facts table for age breakdowns because Platform Analytics requires pre-aggregated, time-aware bucket data to ensure historical accuracy. The Choice table is only used for choice list values and is unrelated to numeric or age-based breakdowns. ServiceNow documentation clearly states that bucket-based breakdowns must reference the pa_buckets table to function correctly and produce accurate time series analytics.
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