AP-215入門知識 & AP-215問題集無料

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Salesforce AP-215 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: General Functionalities13%- Core platform capabilities
- Basic concepts and terminology
- Navigation and interface
Topic 2: Automation and Workflow5%- Automated distribution
- Workflow setup
Topic 3: Calculated Fields and Functions5%- VLOOKUP and FUZZYVLOOKUP
- Custom calculations
- Extract and transformation formulas
Topic 4: Dashboards and Visualization15%- Chart types and usage
- Dashboard design and layout
- KPI and metric display
Topic 5: Data Harmonization3%- Standardization methods
- Pros and cons of harmonization approaches
- Cross-source alignment
Topic 6: Data Quality and Cleansing7%- Validation rules
- Duplicate management
- Error handling and correction
Topic 7: Performance and Troubleshooting5%- Common issues and fixes
- Monitoring and optimization
Topic 8: Reporting and Analytics12%- Attribution models
- Report creation and scheduling
- Insight generation and interpretation
Topic 9: Overarching Entities3%- Use cases and application scenarios
- Structure and configuration
Topic 10: Data Mapping and Modeling5%- Dimensions and measures
- Data structure and relationships
- Source of truth configuration
Topic 11: Datasets and Data Views10%- Filtering and segmentation
- View configuration and sharing
- Dataset creation and management
Topic 12: Data Integration and Ingestion12%- Refresh schedules and data flow
- API and file-based import
- Data streams and connectors
Topic 13: Data Permissions and Governance5%- Data update controls
- Parent-child data setups
- User access and roles

>> AP-215入門知識 <<

AP-215問題集無料、AP-215日本語受験教科書

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

質問 # 34
A client Ingested the following We into Marketing Cloud Intelligence:

The mapping of the above file can be seen below:
Date - Day
Media Buy Key - Media Buy Key
Campaign Name - Campaign Name
Campaign Group -. Campaign Custom Attribute 01
Clicks -> Clicks
Media Cost -> Media Cost
Campaign Planned Clicks -> Delivery Custom Metric 01
The client would like to have a "Campaign Planned Clicks" measurement.
This measurement should return the "Campaign Planned Clicks" value per Campaign, for example:
For Campaign Name 'Campaign AAA", the "Campaign Planned Clicks" should be 2000, rather than 6000 (the total sum by the number of Media Buy keys).
In order to create this measurement, the client considered multiple approaches. Please review the different approaches and answer the following question:

Which two options will yield a false result:

正解:A、C

解説:
The goal is to obtain a "Campaign Planned Clicks" value per Campaign, not accumulated by Media Buy keys. Option 1 (SUM aggregation function) would sum all the "Campaign Planned Clicks" across Media Buy keys which would not yield the unique value per Campaign. Similarly, Option 5 (AVG aggregation function at Campaign Key level) would incorrectly average the values. Both options do not provide a way to return a singular "Campaign Planned Clicks" value for each Campaign.


質問 # 35
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:C

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 # 36
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:A

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 # 37
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:B

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 # 38
Your client is interested in ingested the below file to a new generic data stream type:

The field 'Meeting Code' was mapped to the main entity key. 'How should the 'Room Number' be mapped?

正解:B

解説:
In Marketing Cloud Intelligence, when a field is mapped to the main entity key, other related fields should be mapped as attributes of that key if they provide additional descriptors or details. Since 'Room Number' is related to 'Meeting Code', it would be an attribute of the 'Meeting Code' entity, providing additional context to the meetings without serving as a metric or a separate entity key.


質問 # 39
......

試験の結果は、Topexam選択したAP-215学習教材と直接関係しています。 したがって、当社は試験のレビューに特に関心を持っています。 試験の証明書を取得することはほんの始まりです。 当社の練習資料は、広範囲に影響を与える可能性があります。 この種の試験に関する要求は、AP-215トレーニングクイズでSalesforce満たすことができます。 ですから、私たちのMarketing Cloud Intelligence Accredited Professional練習資料はあなたの未来にプラスの興味を持っています。 このような小さな投資でありながら大きな成功を収めたのに、Marketing Cloud Intelligence Accredited Professionalなぜあなたはまだためらっていますか?

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