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Salesforce AP-215 Exam Syllabus Topics:

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

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Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions (Q42-Q47):

NEW QUESTION # 42
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?

Answer: A,B


NEW QUESTION # 43
Which three statements describe Overarching Entities? 03m 23s

Answer: A,C,D

Explanation:
Overarching Entities in Salesforce Marketing Cloud Intelligence are designed to provide a high level of data organization that spans across multiple data streams. The key points about Overarching Entities are:
B . Relationship Types: Overarching entities can have either a Many-to-Many or One-to-Many relationship with the main entity, which allows for flexible data modeling and relationship definitions based on the nature of the data and how it should be analyzed and reported.
C . Acting as Main Entity: They can serve as a main entity in certain situations, enabling a shift in perspective for data analysis. This can be particularly useful when there is a need to view data from a different dimension that is more aligned with business requirements.
E . Storage Level: The values of these entities are not tied to any single data stream but are maintained at a workspace level, ensuring that they can be applied consistently across different datasets, which is critical for maintaining data integrity and ensuring that classifications are applied uniformly.


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
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: C

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 # 46
A client has integrated data from Facebook Ads, Twitter Ads, and Google Ads in Marketing Cloud Intelligence. For each data source, the data follows a naming convention as shown below:
Facebook Ads Naming Convention - Campaign Name:
Camp|D_CampName#Market_Objective#TargetAge_TargetGender
Twitter Ads Naming Convention - Media Buy Name:
Market|TargetAge|Objective|OrderID
' Google Ads Naming Convention - Media Buy Name:
Buying Type_Market_Objective
The client wants to harmonize their data on the common fields between these two platforms (i.e. Market and Objective) using the Harmonization 'Center.
In addition to the previous details, the client provides the following data sample:


Logic specification:
If a value is not present in the Validation List, return "Not Valid"
If a value is not present in the Classification File, return "Unclassified".
If the Harmonization center is used to harmonize the above data and files, what table will show the final output?

Answer: B

Explanation:
The correct table would be Option B.
The harmonization process would identify the 'Market' from the campaign or media buy name based on the delimiter and position rules specified in the naming conventions. The harmonized 'Market' would then be matched against the classification file and validation list. If a value does not match the validation list, it would return 'Not Valid', and if it's not present in the classification file, it would return 'Unclassified'. Option B is the only table showing the 'Not Valid' category which aligns with the logic specification provided.


NEW QUESTION # 47
......

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