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Salesforce AP-215 Exam Syllabus Topics:
| Section | Objectives |
|---|
| Topic 1: 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 2: Data Harmonization and Data Model | - Data Classification
- 1. Attribute classification
- 2. Hierarchy management
- Parent-Child Data Streams
- 1. Override Media Buy Hierarchies
- 2. Linking data streams
- 3. Data Update Permissions
- Dimensions and Measures
- 1. Creating and managing dimensions
- 2. Creating and managing measures (KPIs)
- 3. Calculated measurements
|
| Topic 3: Marketing Intelligence Platform Fundamentals | - Platform Overview
- 1. Marketing Cloud Intelligence (formerly Datorama) overview
- 2. Key features and capabilities
- Administration and Security
- 1. Workspace and account settings
- 2. User management and permissions
|
| Topic 4: Data Integration and Configuration | - Data Stream Types
- 1. Configuring data source properties
- 2. Understanding different data stream types
- Data Ingestion
- 1. File upload and API data sources
- 2. Scheduling and refresh settings
- Data Mapping
- 1. Data model configuration
- 2. Mapping fields from source files
|
| Topic 5: Data Visualization and Dashboards | - Dashboard Design
- 1. KPI widgets and chart types
- 2. Building dashboards
- Calculated Measurements
- 1. Creating custom calculations
- 2. Formulas and functions
- Filters and Drill-Downs
- 1. Drill-down configuration
- 2. Global and local filters
|
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Salesforce Marketing Cloud Intelligence Accredited Professional 認定 AP-215 試験問題 (Q62-Q67):
質問 # 62
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?
- A. Populate the logic within a custom measurement. No need to change Aggregation.
- B. Unmap it, as Datorama will calculate it automatically.
- C. Populate the logic within a custom measurement. Set Aggregation to SUM.
- D. Populate the logic within a custom measurement. Set Aggregation to AVG.
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 # 63
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" - Generic Entity key 2
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan 7th -11th.Which option reflects the stage(s) the opportunity key 123AA01 is associated with?
- A. interest
- B. Confirmed interest
- C. Interest & Registered
- D. Confirmed Interest & Registered
正解:C
解説:
Filtering the pivot table on January 7th-11th, we see that the Opportunity Key 123AA01 appears on January 6th with the stage 'Interest' and then on January 10th with the stage 'Registered'. Even though the 'Interest' stage is not within the filtered dates, it is the initial stage of the opportunity, so it should be counted along with the 'Registered' stage which falls within the filter range.
質問 # 64
After uploading a standard file into Marketing Cloud intelligence via total Connect, you noticed that the number of rows uploaded (to the specific data stream) is NOT equal to the number of rows present in the source file. What are two resource that may cause this gap?
- A. All mapped Measurements for a given row have values equal to zero
- B. Main entity is not mapped
- C. The source file does not contain the media Buy entity
- D. The file does not contain any measurements (dimension only)
正解:A、B
解説:
In Marketing Cloud Intelligence, discrepancies between the number of rows uploaded and the number of rows present in the source file can be caused by several factors. If all mapped measurements for a row are zero, that row may be excluded from the upload, as it does not contribute to the analytics. Additionally, if the main entity, which acts as the primary identifier for records, is not mapped, the system cannot correctly ingest the data as it lacks the necessary reference to organize and store the information.
質問 # 65
What are unstable measurements?
- A. Measurements for which Aggregation Settings are set as 'Not Auto' and Granularity is set as 'None'.
- B. Measurements for which Aggregation Settings are set as 'Auto' and Granularity is set as 'None'.
- C. Measurements for which Aggregation Settings are set as 'Not Auto' and Granularity is set as 'Not Empty'.
- D. Measurements that are set with the LIFETIME aggregation function
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 # 66
An implementation engineer is requested to extract the first three-letter segment of the Campaign Name values.
For example:
Campaign Name: AFD@Mulop-1290
Desired outcome: AFD
Other examples:

Which formula will return the desired values?
- A. EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
- B. EXTRACT(csv[campaign_name'],-,0)
- C. LEFT(EXTRACT(csv[campaign_name'}/-',1),3)
- D. LEFT(EXTRACT(csy['campaign_name]],~',0),3)
- E. EXTRACT(csv[campaign_name!;@',1)
正解:E
解説:
The EXTRACT function is used to split a string based on a delimiter and return the segment at the specified position. The campaign names are structured with the segment of interest followed by an '@' sign. Therefore, the formula needs to extract the segment before the '@'.
The correct formula is: EXTRACT(csv['campaign_name']; '@', 1). This will take the 'campaign_name' field, split it at the '@' sign, and return the first segment (position 1), which is the three-letter code that is required. The other options are incorrect because they do not properly specify the delimiter and the segment position in the way needed to achieve the desired outcome.
質問 # 67
......
AP-215学習ガイドの資料は、常に卓越性と同義語です。 AP-215実践ガイドは、さまざまな資格試験に合格するかどうかに関係なく、ユーザーが簡単に目標を達成するのに役立ちます。当社の製品は、必要な学習教材を提供します。もちろん、AP-215の実際の質問は、ユーザーに試験に関する貴重な経験だけでなく、試験に関する最新情報も提供します。 AP-215の実用的な教材は、他の教材よりも高い歩留まりをもたらす学習ツールです。決心したら、私たちを選んでください!
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