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Salesforce AP-215 Exam Syllabus Topics:

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

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AP-215 Praxisprüfung, AP-215 Prüfungsmaterialien

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Salesforce Marketing Cloud Intelligence Accredited Professional AP-215 Prüfungsfragen mit Lösungen (Q17-Q22):

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

Antwort: A,C

Begründung:
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.


18. Frage
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?

Antwort: A

Begründung:
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.


19. Frage
A client's data consists of three data streams as follows:
Data Stream A:

Antwort: B

Begründung:
For the client's data consisting of three data streams, setting Data Stream A as the Parent allows for inheriting attributes and hierarchies from it to the child data streams. This ensures consistency across the data streams, making it possible to analyze the data collectively, using the structure and attributes defined in the Parent data stream.


20. Frage
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.

Which three advantages does a client gain from using Calculated Dimensions as the harmonization method for creating the Objective field?

Antwort: A,C,E

Begründung:
Scalability: Using Calculated Dimensions allows the client to apply the same harmonization logic to future data streams, ensuring consistency and reducing the need for individual adjustments.
Ease of Maintenance: With the logic centralized in Calculated Dimensions, any adjustments or updates are applied in one place, simplifying ongoing management.
Performance: Calculated Dimensions can improve dashboard performance because their values are pre-computed and stored, reducing the need for real-time calculations when loading dashboards.


21. Frage
Which option will yield the desired result:?

Antwort: A

Begründung:
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.


22. Frage
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