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Salesforce AP-215 Exam Syllabus Topics:

SectionObjectives
Data Harmonization and Data Model- Parent-Child Data Streams
  • 1. Linking data streams
  • 2. Data Update Permissions
  • 3. Override Media Buy Hierarchies
- Dimensions and Measures
  • 1. Calculated measurements
  • 2. Creating and managing measures (KPIs)
  • 3. Creating and managing dimensions
- Data Classification
  • 1. Attribute classification
  • 2. Hierarchy management
Data Integration and Configuration- Data Stream Types
  • 1. Understanding different data stream types
  • 2. Configuring data source properties
- Data Mapping
  • 1. Data model configuration
  • 2. Mapping fields from source files
- Data Ingestion
  • 1. File upload and API data sources
  • 2. Scheduling and refresh settings
Reports and Activation- Data Export
  • 1. Exporting data and insights
  • 2. Integration with external tools
- Report Types
  • 1. Standard and custom reports
  • 2. Report scheduling
Data Visualization and Dashboards- Filters and Drill-Downs
  • 1. Global and local filters
  • 2. Drill-down configuration
- Calculated Measurements
  • 1. Formulas and functions
  • 2. Creating custom calculations
- Dashboard Design
  • 1. Building dashboards
  • 2. KPI widgets and chart types
Marketing Intelligence Platform Fundamentals- Platform Overview
  • 1. Marketing Cloud Intelligence (formerly Datorama) overview
  • 2. Key features and capabilities
- Administration and Security
  • 1. Workspace and account settings
  • 2. User management and permissions

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Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions (Q41-Q46):

NEW QUESTION # 41
An implementation engineer is requested to apply the following logic:

To apply the above logic, the engineer used only the Harmonization Center, without any mapping manipulations. What is the minimum amount of Patterns creating both 'Platform' and 'Line of Business'?"

Answer: A

Explanation:
To create both 'Platform' and 'Line of Business' fields using Patterns in the Harmonization Center without mapping manipulations, the engineer would need to create separate patterns for each data source mentioned. According to the provided images:
One pattern for LinkedIn Ads, to extract the 'Campaign Name' at position 4 for the Platform and 'Media Buy Name' at position 7 for Line of Business.
One pattern for AdRoll, to extract 'Media Buy Name' at position 3 for Platform and at position 2 for Line of Business.
One pattern for Google Analytics, which seems not required for the Platform but could apply if the Line of Business extraction is necessary, although it states N/A.
Hence, a minimum of 3 patterns would be necessary to create the fields required.


NEW QUESTION # 42
A client created a new KPI: CPS (Cost per Sign-up).
The new KIP is mapped within the data stream mapping, and is populated with the following logic: (Media Cost) / Sign-ups) As can be seen in the table below, CPS was created twice and was set with two different aggregations:

From looking at the table, what are the aggregation settings for each one of the newly created KPIs?

Answer: A

Explanation:
The KPI CPS (Cost per Sign-up) would be calculated by dividing the 'Media Cost' by 'Sign-ups'. The table indicates that CPS is set with two different aggregations. In option C, CPS #1 is set to 'AUTO', which allows the system to decide the best aggregation method based on the context. CPS #2 is set to 'SUM', which indicates that the individual costs per sign-up are summed up across multiple records to provide a total cost per sign-up.


NEW QUESTION # 43
An implementation engineer has been asked by a client for assistance with the following problem:
The below dataset was ingested:

However, when performing QA and querying a pivot table with Campaign Category and Clicks, the value for Type' is 4.
What could be the reason for this discrepancy?

Answer: C

Explanation:
The discrepancy of 'Clicks' being reported as 4 for 'Type1' when the sum of clicks in the dataset for 'Type1' is 8 (2 on 02/02/2021 and 6 on 03/02/2021) suggests that the aggregation function used in the pivot table is set to average (AVG) rather than sum. Salesforce Marketing Cloud Intelligence allows setting different aggregation functions for metrics, and setting it to average would result in such a discrepancy when more than one entry for the same type exists. Reference: Salesforce Marketing Cloud Intelligence documentation on custom measurements and data aggregations explains how to set and understand different aggregation functions.


NEW QUESTION # 44
Which two statements are correct regarding the Parent-Child configuration?

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 various streams. 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.


NEW QUESTION # 45
What Is a disadvantage of using a Vlookup formula?

Answer: A

Explanation:
The use of VLOOKUP formulas can increase the processing time of data streams because it requires a lookup operation for each row in the data set. When large volumes of data are involved, or when multiple VLOOKUPs are used, this can significantly impact processing time due to the complexity and computational requirements of matching and retrieving the data.


NEW QUESTION # 46
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