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Salesforce Marketing-Cloud-Intelligence Exam Questions

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Salesforce Marketing Cloud Intelligence Accredited Professional AP-215 Exam

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Salesforce Marketing-Cloud-Intelligence Sample Questions – Free Practice Test & Real Exam Prep

Question #1

Which two statements are correct regarding the Parent-Child configuration?

  • A. Parent-Child configurations can cause performances issues
  • B. A Parent-Child cannot be configured between an Ads data stream type and aConversion Tag one.
  • C. Parent-Child links different tables based on shared key values
  • D. Parent-Child allows sharing both dimensions and measurements
Answer: A,C
Explanation: Parent-Child configurations in Marketing Cloud Intelligence are used to link
different data tables based on shared key values, allowing for the relational organization of
data across variousstreams. While this setup enhances data analysis and reporting by
maintaining logical relationships between parent and child tables, it can also introduce
performance issues. The complexity increases with the number of relationships and the
volume of data, potentially slowing down query processing and data manipulation.
Additionally, Parent-Child configurations facilitate the sharing of dimensions and measurements across linked tables, enhancing the data's usability without duplicating it.
Question #2

What are two potential reasons for performance issues (when loading a dashboard) whenusing the CRM data stream type?

  • A. When a data stream type ''CRM - Leads' is created, another complementary 'CRM -Opportunity' is created automatically.
  • B. Pacing - daily rows are being created for every lead and opportunity keys
  • C. No mappable measurements - all measurements are calculated
  • D. The data is stored at the workspace level.
Answer: B,C
Explanation: For performance issues when loading a dashboard using CRM data stream type:
Pacing can create performance issues because daily rows for every lead and
opportunity key can result in a very large number of rows, increasing load times.
Having only calculated measurements means there are no direct, mappable
values to query against, which can increase the computational load and affect
performance.
Question #3

After uploading a standard file into Marketing Cloud intelligence via totalConnect, younoticed that the number of rows uploaded (to the specific data stream) is NOT equal to thenumber of rows present in the source file. What are two resource that may cause thisgap?

  • A. All mapped Measurements for a given row have values equal to zero
  • B. Main entity is not mapped
  • C. The source file does not contain the mediaBuy entity
  • D. The file does not contain any measurements (dimension only)
Answer: A,B
Explanation: In Marketing Cloud Intelligence, discrepancies between the number of rows
uploaded and the number of rows present in the source file can be caused by several
factors. If all mapped measurements for a row are zero, that row may be excluded from the
upload, as it does not contribute to the analytics. Additionally, if the main entity, which acts
as the primary identifier for records, is not mapped, the system cannot correctly ingest the
data as it lacks the necessary reference to organize and store the information.
Question #4

What areunstable measurements?

  • A. Measurements for which Aggregation Settings are set as ‘Auto’ and Granularity is set as‘None’.
  • B. Measurements that are set with the LIFETIME aggregation function
  • C. Measurements for which Aggregation Settings are set as ‘Not Auto’ and Granularity isset as ‘None’.
  • D. Measurements for which Aggregation Settings are set as ‘Not Auto’ and Granularity isset as ‘Not Empty’.
Answer: C
Explanation: Unstable measurements refer to metrics that are not aggregated in a
standard manner across different grains of data, which can result in inconsistent or
unpredictable results when reporting across different dimensions or time frames.
Option C describes a scenario where measurements have manual (Not Auto)
aggregation settings, meaning they do not automatically adjust to theaggregation
level of the report. Combined with a Granularity setting of 'None', this can lead to
instability because the metric isn't bound to a specific granularity, which can cause
data inconsistencies or misinterpretations when analyzed at varying levels of
detail.
Question #5

Which three entities and/or functions can be used in an expression when building acalculated dimension?

  • A. The VLOOKUP function
  • B. Mapped dimensions
  • C. The EXTRACT function
  • D. Calculated dimensions
  • E. Mapped measurements
Answer: B,C,E
Explanation: In the context of Marketing Cloud Intelligence, when building a calculated
dimension, you can typically use:
B. Mapped dimensions: These are dimensions that have been brought into
Marketing Cloud Intelligence through the data integration process and have been
mapped to a known schema or model.
C. The EXTRACT function: This function can be used to dynamically create
dimensions by extracting values from a mapped dimension or measurement.
E. Mapped measurements: Similar to mapped dimensions, these are quantitative
data points that have been integrated into the platform and can be referenced in
calculations.
Calculated dimensions (D) and the VLOOKUP function (A) are not typically used within the
expression for a calculated dimension. Calculated dimensions are usually an output, not an
input, and VLOOKUP is a function typically used to enrich or connect data, not within the
definition of a calculated dimension itself.
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