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| Certification Vendor: | ServiceNow |
|---|---|
| Exam Name: | ServiceNow Certified Implementation Specialist – Platform Analytics |
| Exam Number: | CIS-PA |
| Available Languages: | English |
| Exam Format: | Proctored online exam, Multiple choice, Multiple select |
| Exam Duration: | 90 minutes |
| Related Certifications: | ServiceNow Certified System Administrator (CSA) ServiceNow Certified Implementation Specialist – Performance Analytics |
| Certificate Validity Period: | Requires ongoing maintenance via ServiceNow certification delta exams (periodic renewal) |
| Exam Price: | USD 300 |
| Passing Score: | 70% |
| Real Exam Qty: | Approximately 60 |
| Recommended Training: | ServiceNow Performance Analytics Training (Now Learning) |
| Exam Registration: | ServiceNow Certification Portal Now Learning (Training & Exam Registration) |
| Sample Questions: | ServiceNow CIS-PA Sample Questions |
| Exam Way: | Online proctored exam delivered via ServiceNow-approved proctoring platform (e.g., Kryterion Webassessor) |
| Pre Condition: | ServiceNow Certified System Administrator (CSA) or equivalent platform experience is recommended |
| Official Syllabus URL: | https://www.servicenow.com/services/certification.html |
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NEW QUESTION # 52
Which of the following accurately describes howFormula Indicatorsare calculated in ServiceNow?
Answer: A
Explanation:
Formula Indicators in Platform Analytics arepre-calculated during data collectionand their results arestored in the Indicator Facts table, just like automated indicators. They are not calculated in real time when a dashboard is viewed. Instead, they use the previously collected scores of their component indicators to compute a derived value at collection time.
This design ensures consistent historical analysis, predictable performance, and accurate trending. Real-time calculation would undermine historical integrity and dashboard performance, which is why ServiceNow explicitly avoids it for formula indicators. The stored results can then be reused across dashboards and reports without recalculation. ServiceNow documentation clearly states that formula indicators behave like other indicators in that they arepersisted for future analysis, making option C correct.
NEW QUESTION # 53
When creating a breakdown on the age of a task, which table can be used as the Facts table of the Breakdown Source?
Answer: D
Explanation:
When creating a breakdown based on theage of a task, the correctFacts tablefor 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 usebucketed data, which is generated bybucket groups during data collection.
Thepa_bucketstable 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 thepa_bucketstable to function correctly and produce accurate time series analytics.
NEW QUESTION # 54
What configuration setting should be used to run aHistorical Collection Job?
Answer: B
Explanation:
AHistorical Collection Jobis designed to collect past data for a defined historical period and is typically executedone timeoron demand. Unlike scheduled collection jobs (daily, weekly, or monthly), historical jobs are not intended to run repeatedly.
ServiceNow documentation specifies that historical collections are initiated manually to backfill data for indicators that were created after records already existed. Running them on a recurring schedule could lead to duplicated or incorrect data. Therefore, the correct configuration isOnce or On Demand, making option A the correct answer.
NEW QUESTION # 55
Which user should you run Data Collections as?
Answer: B
Explanation:
ServiceNow best practice recommends running Performance Analytics data collections using a dedicated service account specifically created for analytics processing. This ensures consistent permissions, predictable access to data, and improved auditability.
Running collections as individual admins can introduce permission inconsistencies if roles change. The maint account is intended for system upgrades and maintenance, not scheduled analytics jobs. A dedicated Performance Analytics service account minimizes operational risk and aligns with ServiceNow security and governance guidelines.
ServiceNow documentation emphasizes the importance of service accounts for background processing, making option C the correct and recommended choice.
NEW QUESTION # 56
What is the purpose of using aBucket Group?
Answer: B
Explanation:
ABucket Groupin Platform Analytics is used togroup large sets of numeric or time-based values into a smaller, more meaningful number of ranges. Common examples include grouping ages into ranges (0-5 days, 6-10 days), durations into bands, or hours of the day into segments. This simplifies analysis and improves dashboard readability by reducing excessive breakdown elements.
Bucket Groups do not log incidents, manage roles, or control integrations. Instead, they support analytics by enabling structured classification of non-categorical data. ServiceNow documentation clearly positions Bucket Groups as a mechanism for transforming raw numeric or duration data into consumable breakdowns, making option B the correct answer.
NEW QUESTION # 57
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