AP-215合格体験談 & AP-215問題集無料

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Salesforce AP-215 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Integration and Configuration- Data Ingestion
  • 1. Scheduling and refresh settings
  • 2. File upload and API data sources
- Data Stream Types
  • 1. Understanding different data stream types
  • 2. Configuring data source properties
- Data Mapping
  • 1. Data model configuration
  • 2. Mapping fields from source files
Topic 2: 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
Topic 3: 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 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 Harmonization and Data Model- Parent-Child Data Streams
  • 1. Override Media Buy Hierarchies
  • 2. Linking data streams
  • 3. Data Update Permissions
- 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

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Salesforce Marketing Cloud Intelligence Accredited Professional 認定 AP-215 試験問題 (Q62-Q67):

質問 # 62
A technical architect is provided with the logic and Opportunity file shown below:
The opportunity status logic is as follows:
For the opportunity stages "Interest", "Confirmed Interest" and "Registered", the status should be "Open".
For the opportunity stage "Closed", the opportunity status should be closed Otherwise, return null for the opportunity status.

Given the above file and logic and assuming that the file is mapped in a GENERIC data stream type with the following mapping
"Day" - Standard "Day" field
"Opportunity Key" > Main Generic Entity Key
"Opportunity Stage" - Main Generic Entity Attribute
"Opportunity Count" - Generic Custom Metric
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan 11th. What is the number of 'opportunities in the Confirmed Interest stage?

正解:C

解説:
Based on the data provided and the date filter set to January 11th, there are no records for 'Confirmed Interest' on that specific date in the Opportunity file. Thus, the number of opportunities in the 'Confirmed Interest' stage for January 11th would be zero (0). In Salesforce Marketing Cloud Intelligence, when creating pivot tables, the data is aggregated based on the selected filters. If no records meet the filter criteria, the result for that category would be zero. The answer is supported by best practices in data analysis and reporting within Salesforce Marketing Cloud Intelligence, where date filters are applied to segment and analyze data.


質問 # 63
Ina workspace that contains one hundred data streams and a lot of data, what is the biggest downside of using calculated dimensions?

正解:C

解説:
In a workspace with a high number of data streams, such as one hundred, the biggest downside of using calculated dimensions is the performance impact. Calculated dimensions require computational resources to dynamically compute values based on existing data. This can lead to increased load times and slower performance, especially in environments with large amounts of data or complex calculations. This performance degradation is due to the extra processing power needed every time the data is accessed or refreshed, impacting the overall efficiency of data retrieval and analysis operations.


質問 # 64
A technical architect is provided with the logic and Opportunity file shown below:
The opportunity status logic is as follows:
For the opportunity stages "Interest", "Confirmed Interest" and "Registered", the status should be "Open".
For the opportunity stage "Closed", the opportunity status should be closed Otherwise, return null for the opportunity status

Given the above file and logic and assuming that the file is mapped in a GENERIC data stream type with the following mapping:
"Day" - Standard "Day" field
"Opportunity Key" > Main Generic Entity Key
"Opportunity Stage" - Main Generic Entity Attribute
"Opportunity Count" - Generic Custom Metric
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan 11th. What is the number of opportunities in the Interest stage?

正解:C

解説:
Since the pivot table is filtered on January 11th and the provided Opportunity file does not show any records dated January 11th, there are zero opportunities in the Interest stage for that date. Salesforce Marketing Cloud Intelligence allows users to create pivot tables and filter data based on specific criteria, such as dates. In this case, the filter would exclude all rows that do not match the specified date, resulting in a count of zero for the Interest stage. This would apply to any stage since there are no records for January 11th. Reference can be made to Salesforce Marketing Cloud Intelligence documentation on filtering and pivot tables.


質問 # 65
An implementation engineer has been provided with the below dataset:

*Note: CPC = Cost per Click
Formula: Cost / Clicks
Which action should an engineer take to successfully integrate CPC?

正解:A

解説:
CPC (Cost per Click) is a calculated metric that should be created using a custom measurement based on the formula provided (Cost / Clicks). This calculation does not require a change in the aggregation setting because it is derived from other base metrics that are already aggregated appropriately. In Salesforce Marketing Cloud Intelligence, custom measurements are used to create new metrics from existing data points, and the system will use the underlying data's aggregation to perform the calculation. Reference: Salesforce Marketing Cloud Intelligence documentation on creating custom measurements and calculated metrics.


質問 # 66
The following file was uploaded into Marketing Cloud Intelligence as a generic dataset type:

The mapping is as follows:
Day - Day
Web_site_source - Main Generic Entity Attribute 01
Page Views - Generic Metric 1
*Note that 'web_site_key' and 'web_site_name' are NOT mapped.
How many rows will be stored in Marketing Cloud Intelligence after the above file is ingested?

正解:D

解説:
In Marketing Cloud Intelligence, when a file is uploaded as a generic dataset type and mapped accordingly, each unique combination of the mapped fields results in a separate row in the database. The file in question has been mapped with 'Day' to 'Day', 'Web_site_source' to 'Main Generic Entity Attribute 01', and 'Page Views' to 'Generic Metric 1'. The 'web_site_key' and 'web_site_name' are not mapped and thus, won't affect the row count.
Since there are 4 unique combinations of the mapped fields in the uploaded file (each day and source combination is unique), Marketing Cloud Intelligence will store 4 rows after ingestion, corresponding to each unique combination of 'Day' and 'Web_site_source'.


質問 # 67
......

Xhs1991は、特にAP-215認定試験でこの分野の質が高いことで有名です。試験のためにAP-215学習教材を実践している数千人の受験者に受け入れられています。この主要な環境では、人々はより多くの仕事のプレッシャーに直面しています。そこで彼らは、AP-215認定を一般の群れよりも高くしたいと考えています。有効で効率的なガイドトレントを選択する方法は、ほとんどの候補者が懸念する重要なトピックです。また、AP-215試験の質問で、問題なくAP-215試験に合格します。

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