AP-215復習解答例 & AP-215日本語版問題集

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Salesforce AP-215 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Visualization and Dashboards- Calculated Measurements
  • 1. Creating custom calculations
  • 2. Formulas and functions
- Filters and Drill-Downs
  • 1. Global and local filters
  • 2. Drill-down configuration
- Dashboard Design
  • 1. Building dashboards
  • 2. KPI widgets and chart types
Topic 2: Reports and Activation- Data Export
  • 1. Integration with external tools
  • 2. Exporting data and insights
- Report Types
  • 1. Standard and custom reports
  • 2. Report scheduling
Topic 3: Data Harmonization and Data Model- Parent-Child Data Streams
  • 1. Override Media Buy Hierarchies
  • 2. Data Update Permissions
  • 3. Linking data streams
- Dimensions and Measures
  • 1. Creating and managing dimensions
  • 2. Calculated measurements
  • 3. Creating and managing measures (KPIs)
- Data Classification
  • 1. Attribute classification
  • 2. Hierarchy management
Topic 4: Marketing Intelligence Platform Fundamentals- Platform Overview
  • 1. Key features and capabilities
  • 2. Marketing Cloud Intelligence (formerly Datorama) overview
- Administration and Security
  • 1. User management and permissions
  • 2. Workspace and account settings
Topic 5: Data Integration and Configuration- Data Ingestion
  • 1. File upload and API data sources
  • 2. Scheduling and refresh settings
- 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

>> AP-215復習解答例 <<

ユニークAP-215｜効率的なAP-215復習解答例試験｜試験の準備方法Marketing Cloud Intelligence Accredited Professional日本語版問題集

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Salesforce Marketing Cloud Intelligence Accredited Professional 認定 AP-215 試験問題 (Q20-Q25):

質問 # 20
The following file was uploaded into Marketing Cloud Intelligence as a Generic Data Stream type:

The mapping is as follows:
Day - Day
web_site_key -> Main Generic Entity Key
web_site_name -> Main Generic Entity Name
Web_site_source -> Main Generic Entity Attribute 01
Page Views - Generic Metric 1
How many rows will be stored in Marketing Cloud Intelligence after the above file is ingested?

正解：B

解説：
With the uploaded file mapped as a Generic Data Stream type, the unique identifier for a row is the combination of 'Day', 'web_site_key', 'web_site_name', and 'Web_site_source'. As 'Day' is mapped to 'Day', 'web_site_key' to 'Main Generic Entity Key', 'web_site_name' to 'Main Generic Entity Name', and 'Web_site_source' to 'Main Generic Entity Attribute 01', each unique combination of these fields will constitute a separate row.
The provided file has 4 unique combinations of 'Day', 'web_site_key', 'web_site_name', and 'Web_site_source', as each line has a unique 'web_site_key' and 'web_site_name'. Consequently, Marketing Cloud Intelligence will store 4 rows, one for each unique combination.


質問 # 21
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?

正解：A、B


質問 # 22
Your client is interested in ingesting the below file:

The client decided to upload the file to a new generic data stream type and map 'Date' to 'Day' and 'Number of Topics' to a generic custom metric.
In regards to the fields 'Meeting Code' and 'Meeting Name', your client is debating several options.
Which two options would you recommend in order to avoid data loss?

正解：D、E

解説：
'Meeting Name' will be mapped to 'Main Generic Entity Attribute 2'.
Explanation:
To avoid data loss and ensure each meeting is uniquely identified and its details are preserved, two mappings are recommended:
Option A:
'Meeting Code' should be mapped to the 'Main Generic Entity Key' to uniquely identify each meeting.
'Meeting Name' should be mapped to a 'Main Generic Entity custom attribute' to store additional information about the meeting.
Option E:
Concatenation of 'Meeting Code' and 'Meeting Name' should be mapped to 'Main Generic Entity Key'. This ensures a unique identifier for each meeting is created combining both pieces of information, preventing any mix-ups between meetings with similar codes or names.
Additionally, mapping 'Meeting Code' and 'Meeting Name' to their respective 'Main Generic Entity Attribute' fields will allow for more detailed filtering and reporting capabilities within Marketing Cloud Intelligence.


質問 # 23
An implementation engineer is requested to integrate the following files:
File A:

File B:

The client would like to link the two files in order to view the two KPIS (Tasks Completed' and 'tasks Assignmed') alongside'Employee Name' and/or 'Squard'.
A Parent-Child configuration was set between the two.
Which two statements are correct?

正解：A、D

解説：
In Marketing Cloud Intelligence, joining two files requires a common field to be mapped as the same entity. If "employee_name" is consistently mapped across both data streams, it can serve as the basis for the join, regardless of whether "employee_id" is mapped. The choice of which file serves as the Parent stream depends on the use case and the desired reporting structure, but technically, either could serve as the Parent.


質問 # 24
Which two statements are correct regarding the Parent-Child configuration?

正解：A、D

解説：
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.


質問 # 25
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