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The PassSureExam is a leading platform that has been helping the Certified Implementation Specialist - Platform Analytics (CIS-PA) exam candidates in exam preparation and boosting their confidence to pass the final CIS-PA exam. The PassSureExam is offering real, valid, and updated Certified Implementation Specialist - Platform Analytics (CIS-PA) practice questions. These Certified Implementation Specialist - Platform Analytics (CIS-PA) exam questions are verified by ServiceNow CIS-PA exam trainers. They work closely and check all Certified Implementation Specialist - Platform Analytics (CIS-PA) exam dumps one by one and they ensure the best possible answers to Certified Implementation Specialist - Platform Analytics (CIS-PA) exam dumps.
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NEW QUESTION # 13
How many queries are performed against the database when aDaily Data Collection jobis executed?
Answer: C
Explanation:
During a Daily Data Collection job, Platform Analytics executesone database query per Indicator Source, not per indicator. Multiple indicators can reference the same indicator source, allowing the platform toreuse the result setand calculate multiple scores from a single query.
This design is a key performance optimization in Platform Analytics. Executing queries per indicator would significantly increase database load, especially in large implementations. ServiceNow documentation explicitly states that indicator sources are the unit of data retrieval during collection, making option B the correct and documented answer.
NEW QUESTION # 14
When using aBucket Groupas a Breakdown Source, which is the required Breakdown SourceFacts table?
Answer: B
Explanation:
When aBucket Groupis used as a Breakdown Source in Platform Analytics, the requiredFacts tableisBucket
[pa_buckets]. Bucket Groups define how numeric or duration values (such as age, time, or cost ranges) are grouped, but they do not store analytics facts themselves. The actual bucketed values generated during data collection are stored in thepa_bucketstable, which makes it the authoritative facts table for bucket-based breakdowns.
Thepa_bucket_groupstable only stores configuration metadata for bucket definitions. Thesys_choicetable is used exclusively for choice list values and is unrelated to bucket analytics. The Indicator Facts table stores indicator scores but does not contain bucket-level breakdown data. ServiceNow documentation explicitly states that any breakdown based on bucket groups must reference thepa_bucketstable to ensure accurate historical analysis and proper breakdown rendering. Therefore, option C is the only correct answer.
NEW QUESTION # 15
You see this error in aBreakdown Source:
Which action resolves the issue?
Answer: D
Explanation:
In ServiceNow Platform Analytics, aBreakdown Sourceis automatically disabled when the number of generated breakdown elements exceeds themaximum element limitdefined in system properties (for example, properties controlling the maximum allowed breakdown elements during data collection). This safeguard exists to protect system performance and prevent excessive storage and processing during data collection jobs.
When this error occurs, therecommended and documented resolutionisnotto increase the system property arbitrarily. Increasing the global limit can negatively impact performance across all analytics workloads and is discouraged unless there is a strong architectural justification.
Instead, ServiceNow best practice is torefine the Breakdown Source conditions-for example, by adding filters, narrowing scope, or excluding unnecessary records-so that the number of returned elements falls below the configured system threshold. Once the conditions are optimized, you can safely re-enableDC active, and the breakdown will participate in data collection successfully.
Simply re-enabling DC active without reducing elements will cause the breakdown to be disabled again, and deleting/recreating the source does not address the root cause. Therefore,option Dis the correct and fully supported resolution according to ServiceNow Platform Analytics documentation and best practices.
NEW QUESTION # 16
There is a Summed Duration of wait time Indicator that stores duration in milliseconds.
Which action accurately configures the displayed duration in hours without creating a separate Formula Indicator?
Answer: B
Explanation:
Platform Analytics supports unit conversion for duration-based indicators through the Unit field on the Indicator record. When an indicator stores duration values (such as milliseconds), setting the Unit to Hours automatically converts and displays the values correctly without modifying the underlying data or recollecting scores.
Using formulas or scripts is unnecessary and discouraged when a built-in unit conversion is available. The Formula box is intended for mathematical aggregation logic, not unit conversion. ServiceNow documentation explicitly states that duration indicators should rely on the Unit setting to control how values are displayed, making option A the correct and supported approach.
NEW QUESTION # 17
What functionality lets youvisualize indicator data over timein units representing periods such asyear, quarter, and similar fiscal periods?
Answer: A
Explanation:
Fiscal Calendarsallow Platform Analytics to aggregate and visualize indicator data usingfiscal periodssuch as fiscal years, quarters, and accounting periods. This is essential for organizations that do not follow standard calendar years for reporting and performance measurement.
Gregorian calendars use standard date boundaries, while Business Calendars define working and non-working time for duration calculations. Timecard calendars are unrelated to analytics aggregation. ServiceNow documentation clearly states that fiscal period-based analysis is enabled through Fiscal Calendars, making optionBthe correct answer.
NEW QUESTION # 18
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