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Salesforce AP-215 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Visualization and Dashboards- Calculated Measurements
  • 1. Formulas and functions
  • 2. Creating custom calculations
- Dashboard Design
  • 1. KPI widgets and chart types
  • 2. Building dashboards
- Filters and Drill-Downs
  • 1. Drill-down configuration
  • 2. Global and local filters
Topic 2: Data Harmonization and Data Model- Parent-Child Data Streams
  • 1. Data Update Permissions
  • 2. Linking data streams
  • 3. Override Media Buy Hierarchies
- Dimensions and Measures
  • 1. Creating and managing measures (KPIs)
  • 2. Calculated measurements
  • 3. Creating and managing dimensions
- Data Classification
  • 1. Attribute classification
  • 2. Hierarchy management
Topic 3: 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
Topic 4: Reports and Activation- Report Types
  • 1. Standard and custom reports
  • 2. Report scheduling
- Data Export
  • 1. Exporting data and insights
  • 2. Integration with external tools
Topic 5: Data Integration and Configuration- Data Stream Types
  • 1. Configuring data source properties
  • 2. Understanding different data stream types
- 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

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最新的 Accredited Professional Certification AP-215 免費考試真題 (Q37-Q42):

問題 #37
A client's data consists of three data streams as follows:
Data Stream A:

The data streams should be linked together through a parent-child relationship.
Out of the three data streams, Data Stream C is considered the source of truth for both the dimensions and measurements.
The client would like to have a "Site Revenue" measurement.
This measurement should return the highest revenue value per Site, for example:
For Site Key 'SK_C_2', the "Site Revenue" should be $7.00.
When aggregated by date, the "Site Revenue" measurement should return the total sum of the results of all sites.
For example:
For the date 1 Apr 2020, "Site Revenue" should be $11.00 (sum of Site Revenue for Site Keys 'SK_C_1' ($4.00) and 'SK_C_2' ($7.00))

Which options will yield the desired result;

答案:A

解題說明:
Option #2: It suggests using the 'SUM' function to aggregate the 'Site Revenue' for each 'Site Key'. This is necessary to ensure that when aggregated by date, 'Site Revenue' should return the total sum of the highest revenue for all sites.
Option #4: It indicates changing the Aggregation Function of Revenue to 'MAX' within Data Stream C.
This ensures that for a given 'Site Key', the highest revenue value is selected, which is correct for individual site revenue determination.
Combining Option #2 and Option #4 will provide the desired result:
For an individual 'Site Key', it will give the highest revenue (using MAX aggregation in Option #4).
When aggregating by date across all 'Site Key's, it will sum the highest revenues (using the SUM function in Option #2).


問題 #38
Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?

答案:A,D

解題說明:
Variable dimensions in Marketing Cloud Intelligence's data model are flexible and can be associated with multiple entities, forming a many-to-many relationship. These dimensions are configured and stored at the workspace level, allowing for customization and alignment with specific reporting needs and analytics practices.


問題 #39
Which two statements are correct regarding LiteConnect?

答案:A,C

解題說明:
LiteConnect is a feature in Salesforce Marketing Cloud Intelligence that allows users to bring external data into the platform quickly and easily. Here are the correct statements regarding LiteConnect:
A . LiteConnect allows for a quick setup by not requiring detailed identification of entities, keys, or categorization. Users can upload files without having to conform to the standard data model, which speeds up the process of data integration.
B . With LiteConnect, datasets are uploaded in their native format and do not conform to the standard data model of Marketing Cloud Intelligence. This means that the original structure of the dataset is maintained, and there is no need for extensive transformation or mapping upon the initial data import.
For C and D: While LiteConnect datasets might not conform to the standard data model initially, there are capabilities within Marketing Cloud Intelligence to further categorize and harmonize this data if needed. Therefore, C is not entirely correct, and D is incorrect because harmonization can indeed occur at a later step.


問題 #40
An implementation engineer is requested to extract the first three-letter segment of the Campaign Name values.
For example:
Campaign Name: AFD@Mulop-1290
Desired outcome: AFD
Other examples:

Which formula will return the desired values?

答案:D

解題說明:
The EXTRACT function is used to split a string based on a delimiter and return the segment at the specified position. The campaign names are structured with the segment of interest followed by an '@' sign. Therefore, the formula needs to extract the segment before the '@'.
The correct formula is: EXTRACT(csv['campaign_name']; '@', 1). This will take the 'campaign_name' field, split it at the '@' sign, and return the first segment (position 1), which is the three-letter code that is required. The other options are incorrect because they do not properly specify the delimiter and the segment position in the way needed to achieve the desired outcome.


問題 #41
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?

答案:B,D,E

解題說明:
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.


問題 #42
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