AP-215対応内容、AP-215受験内容

さらに、JPTestKing AP-215ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1QKnM-Qmkg_I-kwv8Gw-dhW9-3dsGk7vu

AP-215はSalesforceのひとつの認証で、AP-215がSalesforceに入るの第一歩として、AP-215「Marketing Cloud Intelligence Accredited Professional」試験がますます人気があがって、AP-215に参加するかたもだんだん多くなって、しかしAP-215認証試験に合格することが非常に難しいで、君はAP-215に関する試験科目の問題集を購入したいですか？

Salesforce AP-215 Exam Syllabus Topics:

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

>> AP-215対応内容 <<

AP-215受験内容、AP-215認定内容

試験の準備をするためにJPTestKingのSalesforceのAP-215試験トレーニング資料を買うのは冒険的行為と思ったとしたら、あなたの人生の全てが冒険なことになります。一番遠いところへ行った人はリスクを背負うことを恐れない人です。また、JPTestKingのSalesforceのAP-215試験トレーニング資料が信頼できるのは多くの受験生に証明されたものです。JPTestKingのSalesforceのAP-215試験トレーニング資料を利用したらきっと成功できますから、JPTestKingを選ばない理由はないです。

Salesforce Marketing Cloud Intelligence Accredited Professional 認定 AP-215 試験問題 (Q34-Q39):

質問 # 34
An Implementation engineer is requested to create a new harmonization field 'Offer' and apply the following logic:

The implementation engineer to use the Harmonization Center. Which of the below actions can help implement the new dimension 'Offer?

正解：D

解説：
To implement the new harmonization field 'Offer', the implementation engineer would create two separate harmonization patterns for LinkedIn and AdRoll sources, extracting the 'Campaign Name' using the specified delimiter and position. Then, within Google Analytics' mapping, a custom attribute for the 'Campaign' would be created to apply the formula logic based on the source. This allows for the harmonization of campaign data across different platforms, ensuring consistency in the reporting and analysis within Marketing Cloud Intelligence. The total patterns required would be three, one for each data source involved.


質問 # 35
A client provides the following two data streams:
Data Stream 1:

The client would like to use a VLOOKUP formula to calculate the Cost per Campaign Advertiser on January 1st 2020.
Which mapping options should the client apply to obtain the expected result?

正解：A

解説：
To calculate Cost per Campaign Advertiser using a VLOOKUP formula, the client needs to look up the 'Cost' from Data Stream 2 based on a matching 'Media Buy Name' in Data Stream 1. Option A shows that 'Media Buy Name' is the lookup value, which is correct. The 'Campaign Advertiser' is then linked to the 'Cost' from Data Stream 2 through the VLOOKUP formula applied to the 'Media Buy Custom Attribute 01' in Data Stream 2. This setup will correctly associate the cost with the campaign advertiser.


質問 # 36
An implementation engineer has been provided with 4 different source files: 03m 16s
1. Twitter Ads
2. Creative Classification
3. Placement Classification
4, Campaign Category Classification
The main source is Twitter Ads (which includes various fields and KPIs), and the rest are classification files that connect to Twitter Ads and enrich different fields within it.
The connections between the files are described as follows:
1st Party Creative Classification
File structure/headers:

Creative ID - links back to Creative Key (Twitter Ads)
1st Party Placement Classification &
File structure/headers:

Category - links back to Campaign Category (Twitter Ads)
Which proposed solution meets the client's requirements for the above use case?

正解：B

解説：
For the given use case, where the Twitter Ads data stream needs to be enriched with classifications from three other sources, the correct implementation would involve creating links between the various fields across these files.
Option A is correct because it shows the correct usage of the fields from the classification files:
"Creative ID" in the Creative Classification file is linked to the "Creative Key" in the Twitter Ads data, allowing for enrichment with creative details.
"Placement ID" in the Placement Classification file is linked to a corresponding field in the Twitter Ads data, allowing for placement details to be added.
"Category" in the Campaign Category Classification file is linked back to "Campaign Category" in the Twitter Ads data, thus enriching the campaign data with the correct categories.
This configuration correctly uses VLOOKUP to enrich the Twitter Ads data stream with additional details from the classification files, aligning with best practices for data integration and enrichment in Marketing Cloud Intelligence.


質問 # 37
What are unstable measurements?

正解：A

解説：
Unstable measurements refer to metrics that are not aggregated in a standard manner across different grains of data, which can result in inconsistent or unpredictable results when reporting across different dimensions or time frames.
Option C describes a scenario where measurements have manual (Not Auto) aggregation settings, meaning they do not automatically adjust to the aggregation level of the report. Combined with a Granularity setting of 'None', this can lead to instability because the metric isn't bound to a specific granularity, which can cause data inconsistencies or misinterpretations when analyzed at varying levels of detail.


質問 # 38
Your client provided the following sources:
Source 1:

Source 2:

Source 3:

As can be seen, the Product values present in sources 2 and 3 are similar and can be linked with the first extraction from 'Media Buy Name' in source1 The end goal is to achieve a final view of Product Group alongside Clicks and Sign Ups, as described below:

Which two options will meet the client's requirement and enable the desired view?

正解：A、B

解説：
To achieve a final view of Product Group alongside Clicks and Sign Ups, we should use:
Option A:
Custom Classification: By using a Custom Classification key populated with the extraction of the Media Buy Name in Source 1, we can then map 'Product' in Source 2 to this key and 'Product Group' to a Custom Classification level. This will allow for grouping and analysis by Product Group, as well as enable the desired view to be created.
Option D:
Harmonization Center: With patterns from Sources 1 and 3, we can create a harmonized dimension 'Product'. Then, by applying a Data Classification rule using Source 2, we can enhance the harmonized dimension. This allows us to align 'Product Group' with the 'Product' from Sources 1 and 3, facilitating an integrated view of Clicks and Sign Ups by Product Group.


質問 # 39
......

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