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| Certification Vendor: | ServiceNow |
|---|---|
| Exam Name: | Certified Implementation Specialist - Platform Analytics |
| Exam Number: | CIS-PA |
| Available Languages: | English |
| Passing Score: | Approximately 75% (correct answers required) |
| Exam Format: | Multiple Choice, Multiple Select, True/False |
| Exam Price: | USD 250 |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | Approximately 60 |
| Exam Duration: | 90 minutes |
| Related Certifications: | Certified Implementation Specialist - Platform Analytics |
| Sample Questions: | ServiceNow CIS-PA Sample Questions |
| Exam Way: | Online proctored or at a Pearson VUE testing center. |
| Pre Condition: | Recommended ServiceNow System Administrator certification and experience with the ServiceNow platform. |
| Official Syllabus URL: | https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/resource-center/cis-pa-exam-blueprint.pdf |
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NEW QUESTION # 57
What does the"Allow formula component to be NULL"setting for aFormula Indicatordo?
Answer: A
Explanation:
TheAllow formula component to be NULLsetting controls how a Formula Indicator behaves when one or more component indicators return NULL values. When enabled, the formula continues to calculate using the available components instead of aborting the calculation.
If this setting is disabled and any component returns NULL, the entire formula result becomes NULL. The setting does not automatically convert NULLs to zero, nor does it skip calculation entirely. ServiceNow documentation explains that this option provides flexibility in environments where some component indicators may not have data for every period, ensuring the formula can still produce meaningful results.
Therefore, option D accurately describes the behavior.
NEW QUESTION # 58
What is the purpose of aBreakdown Source?
Answer: A
Explanation:
ABreakdown Sourcedefines how data isclassified into distinct breakdown elementsfor analysis. It identifies the table and field (or script) used to generate the unique values-such as categories, priorities, assignment groups, or buckets-that segment indicator scores.
Default element filters are configured on the Breakdown, not the Breakdown Source. Indicators are linked to Breakdowns through Breakdown Mappings, not selected at the source level. While bucket-based sources support non-categorical data, their core purpose remains identifying unique breakdown elements. ServiceNow documentation emphasizes that the Breakdown Source is responsible for definingwhere breakdown values come from and how they are identified, making option C the correct answer.
NEW QUESTION # 59
Which of the following accurately describes howFormula Indicatorsare calculated in ServiceNow?
Answer: D
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 # 60
How candashboard filtersretain their values acrosslogins and page refreshes?
Answer: A
Explanation:
Dashboard filters retain their values across page refreshes and user navigation throughsession-based persistence. When this option is enabled, filter selections are stored for the duration of the user's session and automatically reapplied as the user navigates or refreshes the page.
Favorites and global defaults define starting values, not persistence behavior. Applying a filter to the entire dashboard controls scope, not retention. ServiceNow documentation explains that session persistence is the mechanism that maintains filter state, making option C the correct answer.
NEW QUESTION # 61
Which statements describe the respective Performance Analytics object behavior?
Answer: B,C
Explanation:
In ServiceNow Performance Analytics,Indicator SourcesandIndicatorsare distinct objects with different responsibilities, and understanding their behavior is essential for correct architecture and deployment.
Option A is correct.
Indicator Sources definehowandwhen raw data is queried, but they can be reused by multiple data collection jobs. Even if an Indicator Source is configured with aMonthly frequency, it can still be executed by aDaily data collection job. The job frequency controls execution timing, not the source frequency itself. This reuse is a documented performance optimization in Platform Analytics.
Option C is correct.
TheIndicator frequency is independent of the Indicator Source frequency. For example, an Indicator Source may collect daily raw data, while the Indicator aggregates and stores scores weekly or monthly. This separation allows flexible aggregation strategies and is explicitly supported by Platform Analytics design.
Option B is incorrectbecause Breakdowns require aBreakdown Mapping, but they are not inherently tied only to Automated Indicators, nor is this statement describing object behavior accurately in isolation.
Option D is incorrectbecause Breakdowns can be assigned to an Indicatorbefore or after data collection; they are applied when the next collection runs.
NEW QUESTION # 62
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