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[General] Quiz 2026 Newest AP-215: Marketing Cloud Intelligence Accredited Professional Te

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【General】 Quiz 2026 Newest AP-215: Marketing Cloud Intelligence Accredited Professional Te

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Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions (Q29-Q34):NEW QUESTION # 29
Which three statements accurately describe the different data stream types in Marketing Cloud intelligence?
  • A. All data stream types consist of at least one entity
  • B. All data stream types share at least one mutual measurement
  • C. Each data stream type has its own set of measurements
  • D. Each data stream type has Its own main entity
  • E. Every data stream type includes the Medio Buy entity
Answer: A,C,D
Explanation:
In Marketing Cloud Intelligence, data stream types are templates that define how data should be structured within the system. Each data stream type:
B . Includes at least one entity, which is a fundamental component of the data stream and represents a collection of related data points.
D . Has its own main entity, which is the primary focus of that particular data stream type and serves as the central point of reference for the associated data.
E . Contains its own unique set of measurements that are specific to the type of data being captured within that stream. These measurements represent quantitative data that can be analyzed within the context of the main entity and other dimensions present in the data stream.
A is incorrect because not every data stream type includes the Media Buy entity-this is specific to certain types of advertising data streams. C is incorrect because not all data stream types share at least one mutual measurement; measurements are typically unique to the data stream's focus and purpose.

NEW QUESTION # 30
Which option will yield the desired result:?
  • A. Option 2
  • B. Option 4
  • C. Option 3
  • D. Option 1
Answer: B
Explanation:
Option 4 presents two calculated measurements for 'Group Min Cost' with 'MIN' and 'AVG' aggregations. This approach aligns with the client's need for the minimum and average media cost values. 'Group Min Cost 4 MIN' will calculate the minimum media cost across the 'Media Buy Key', while 'Group Min Cost 4 FINAL' will average these minimum costs at the 'Campaign Key' level. This will yield the desired result where minimum costs are calculated at the Media Buy Key level and then averaged at the Campaign Key level.

NEW QUESTION # 31
A client wants to integrate their data within Marketing Cloud Intelligence to optimize their marketing insights and cross-channel marketing activity analysis. Below are details regarding the different data sources and the number of data streams required for each source.

What three advantages are gained when using Patterns & Data Classification as the harmonization method for creating the Objective field?
  • A. Ease of Maintenance
  • B. Scalability
  • C. Performance (Performance when loading a dashboard page)
  • D. Use of code
  • E. Processing (processing time when loading relevant data streams)
Answer: A,B,C
Explanation:
Patterns & Data Classification in Marketing Cloud Intelligence offer several advantages. These include:
Ease of Maintenance (A): Patterns allow for the standardization of data harmonization processes. Once set up, they can be easily maintained and adjusted as needed, without having to manipulate each data stream individually.
Performance (B): By using patterns, data is classified and standardized at ingestion, which can improve the performance of dashboard page loading because the system does not need to perform complex, on-the-fly calculations or transformations.
Scalability (D): Patterns can be applied across multiple data streams consistently, allowing them to scale with the data. This means that as the amount of data grows or as new data sources are added, the same patterns can be reused, ensuring that the data remains harmonized.

NEW QUESTION # 32
A client would like to integrate the following two sources:
Google Campaign Manager:

IAS:

After configuring a Parent-Child relationship between the files, which query should an implementation engineer run in order to QA the setup?
  • A. Media Buy Type, Media Buy Name, Impressions, Analyzed Impressions
  • B. Media Buy Name, Impressions
  • C. Media Buy Type, Analyzed Impressions
  • D. Creative Name, Impressions, Analyzed Impressions
Answer: A
Explanation:
To QA the Parent-Child relationship setup between Google Campaign Manager and IAS data sources, it is essential to query fields that are common to both sources and that are relevant to the relationship. 'Media Buy Type' and 'Media Buy Name' are common identifiers between the two datasets. 'Impressions' from the Google Campaign Manager and 'Analyzed Impressions' from the IAS data are the metrics that should be compared to ensure they match or correlate as expected due to the Parent-Child relationship. The QA process involves checking that the data is correctly aligned and that the metrics from the parent source (Google Campaign Manager) are properly related to the metrics from the child source (IAS). Reference: Salesforce Marketing Cloud Intelligence documentation on data integration, Parent-Child relationships, and QA procedures for data setup.

NEW QUESTION # 33
A technical architect is provided with the logic and Opportunity file shown below:
The opportunity status logic is as follows:
For the opportunity stages "Interest", "Confirmed Interest" and "Registered", the status should be "Open".
For the opportunity stage "Closed", the opportunity status should be closed.
Otherwise, return null for the opportunity status.

Given the above file and logic and assuming that the file is mapped in a GENERIC data stream type with the following mapping:
"Day" - Standard "Day" field
"Opportunity Key" > Main Generic Entity Key
"Opportunity Stage" - Generic Entity Key 2
"Opportunity Count" - Generic Custom Metric
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan 7th - 10th. How many different stages are presented in the table?
  • A. 0
  • B. 1
  • C. 2
  • D. 3
Answer: A
Explanation:
Based on the Opportunity file and considering the filter dates from January 7th to 10th, the different stages presented are 'Interest', 'Confirmed Interest', and 'Registered'. This makes a total of 3 different stages that would be presented in the pivot table. Salesforce Marketing Cloud Intelligence allows for the creation of pivot tables that can display counts of entities across different dimensions, in this case, Opportunity Stages. Reference to Salesforce Marketing Cloud Intelligence documentation that covers data mapping and pivot table creation would support this conclusion.

NEW QUESTION # 34
......
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