AP-215試験問題解説集 & AP-215合格資料

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Salesforce AP-215 Exam Syllabus Topics:

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

>> AP-215試験問題解説集 <<

AP-215合格資料 & AP-215試験番号

一部の候補者は、自社のAP-215ソフトウェアテストシミュレーターを購入する場合があります。 ソフトバージョンをインストールできるパーソナルコンピューターの台数を尋ねられます。 実際、コンピューターの数に制限はありません。 したがって、AP-215ソフトウェアテストシミュレータを購入すると、同時にマルチユーザーをサポートします。 無制限にコンピューターにインストールできます。 あなたが訓練学校である場合、教師が気軽に発表して説明するのに適しています。 優れたAP-215ソフトウェアテストシミュレータは合格率が高く、GoShikenは長期的な協力をお待ちしています。

Salesforce Marketing Cloud Intelligence Accredited Professional 認定 AP-215 試験問題 (Q19-Q24):

質問 # 19
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'?"

正解:A

解説:
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.


質問 # 20
A client provides the following three files:
File A:

File B:

File C:

File A was uploaded using the Ads data stream type.
The client would like to create this view (data from Files B & C) in Datorama:

Which proposed solution would cause a false connection between the two files?

正解:B

解説:
With File A uploaded using the Ads data stream type, the client wishes to create a view incorporating data from Files B & C.
A false connection would occur if VLOOKUP in Data Stream B is used incorrectly to return "Day" and "Installs". In this scenario, VLOOKUP might inaccurately link data based on MB Name between File B and File A or File C, which do not have a "Day" field to correctly join on. Moreover, "Installs" data in File B doesn't exist, so VLOOKUP cannot correctly return this information. The correct method would be to use the "Media Buy New Name" to link File B and File C since they both have this field, ensuring accurate connection and avoiding data mismatches or false connections.


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、D


質問 # 22
Your client would like to create a new harmonization field - Exam Topic.
The below table represents the harmonization logic from each source.

As can be seen from the table, there are in fact two fields that hold a certain connection: Exam ID and Exam Topic. The connection indicates that where an Exam ID is found - a single Exam Topic value is associated with it.
The client has a requirement to be able to view measurements from all data sources sliced by Exam Topic values, as seen in the following example:

The client suggested to create, without any mapping manipulations, several patterns via the harmonization center that will generate two Harmonized Dimensions:
Exam ID
Exam Topic
Given the above information, which statement is correct regarding the ability to implement this request with the above suggestion?

正解:D

解説:
If the harmonization logic consistently associates a single Exam Topic with each Exam ID across all data sources, then creating two harmonized dimensions may be unnecessary. One harmonized dimension for Exam Topic would suffice because it inherently carries the Exam ID's uniqueness within it. The harmonized dimension for Exam Topic would allow the client to slice the data by Exam Topic values, fulfilling the requirement.


質問 # 23
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.
How should the "Override Media Buy Hierarchies" checkbox be set in order to meet the client's requirements?

正解:A

解説:
If Data Stream C is the source of truth, the "Override Media Buy Hierarchies" checkbox should be checked for Data Stream C.
This means that the hierarchy defined within Data Stream C will take precedence over any other media buy hierarchies present in Data Streams A or B. By doing so, it enforces that the hierarchy from the source of truth (Data Stream C) is used throughout the dataset, maintaining the integrity of the hierarchical relationships as defined by the most reliable data source.


質問 # 24
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