質問 1: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. Populate the logic within a custom measurement. Set Aggregation to AVG.
C. Unmap it, as Datorama will calculate it automatically.
D. Populate the logic within a custom measurement. Set Aggregation to SUM.
正解:A
解説: (Topexam メンバーにのみ表示されます)
質問 2:A client's data consists of three data streams as follows:
Data Stream A:
A. Update Attributes and Hierarchies
B. Update Attributes
C. It doesn't matter. As long as Data stream A is set as a Parent', the rest of the Data Updates Permissions are irrelevant.
D. Inherit Attributes and Hierarchies
正解:D
解説: (Topexam メンバーにのみ表示されます)
質問 3:Source 3:

Via the harmonization Center, the Client has created Patterns and applied a classification rule using source 2.
While performing QA, you have spotted that the final value of clicks for Product Group Ais 10, where it should've been i5.

How can an implementation engineer fix this discrepancy?
A. Upload both source 1 and 3 to the same data stream type in order to be able to generate Patterns from them.
B. Uncheck the "Case Sensitive" checkbox in the data classification
C. Leave the "Case Sensitive" checkbox in the data classification unchecked
D. Toggle the 'Structure Compliant' OFF.
正解:B
解説: (Topexam メンバーにのみ表示されます)
質問 4:Client has provided sample flies of their data from the following data sources:
Google Campaign Manager

Below are the requirements from the client and additional information:
* The sources are linked to each other by shared Media Buy names.
* In addition-to the mutual Media Buys, the sources contain campaign and site values. However, the client would like to see the campaign/site values coming from Google CM and not from Google DV360.
* The source of truth for cost is Google DV360.
As a first step, a Parent-Child relationship was created between the two files, and the following mapping was performed, within both data streams:

Please note:
* All other measurements were mapped as well to the appropriate fields.
* No other mapping manipulations or formulas were implemented.
How many records will the merged table hold?
A. Depends on the Data Updates Permissions
B. 3
C. 8
D. 4
正解:D
解説: (Topexam メンバーにのみ表示されます)
質問 5: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?
A. 0
B. 3
C. 4
D. 1
正解:C
解説: (Topexam メンバーにのみ表示されます)
質問 6: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?
A. The above Patterns setup will not work for this use case.
B. The Harmonized field for Exam ID is redundant. One Harmonized dimension for Exam Topic is enough for a sustainable and working solution
C. The solution will work - the client will be able to view Exam Topic with Email Sends.
D. Only if 5 different Patterns are created, from 5 different fields - the solution will work.
正解:B
解説: (Topexam メンバーにのみ表示されます)
質問 7: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. Confirmed Interest & Registered
D. Interest & Registered
正解:D
解説: (Topexam メンバーにのみ表示されます)
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Salesforce Marketing-Cloud-Intelligence 認定試験の出題範囲:
| トピック | 出題範囲 |
|---|
| トピック 1 | - Data Integration Code Ability: This section evaluates proficiency with common Marketing Cloud Intelligence functions, enabling Salesforce marketing professionals to integrate diverse data sources effectively for comprehensive marketing intelligence.
|
| トピック 2 | - Overarching Entities: Salesforce marketing professionals will deepen their understanding of overarching entities, their use cases, and application, crucial for strategic data organization and analysis.
|
| トピック 3 | - CRM: This topic tests knowledge of CRM properties and their behavior within Marketing Cloud Intelligence. This knowledge is crucial for syncing customer relationship data with marketing campaigns.
|
| トピック 4 | - Harmonization Best Practices: Salesforce marketing professionals will analyze harmonization methods, properties, and their advantages and disadvantages, enhancing skills for optimizing data consistency across platforms.
|
| トピック 5 | - Design Feasibility: This area evaluates the ability to identify valid and invalid solutions from solution design diagrams, ensuring effective and scalable platform designs.
|
| トピック 6 | - Calculated Dimensions & Measurements: This section measures skills in using calculated objects, recognizing aggregation types, and employing these tools for tailored marketing analytics.
|
| トピック 7 | - Vlookup: This section evaluates proficiency of marketing professionals in Vlookup statements and their properties, ensuring accurate data referencing and streamlined data manipulation for marketing intelligence tasks.
|
| トピック 8 | - QA Ability: This section focuses on common QA steps for various scenarios, enabling Salesforce marketing professionals to ensure data quality and platform performance.
|
| トピック 9 | - General Functionalities: In this topic, Salesforce marketing professionals will explore core functionalities of Marketing Cloud Intelligence. It measures understanding of platform features critical to data-driven marketing strategies and insights.
|
| トピック 10 | - Data Fusion: This topic focuses on the use cases and properties of Data Fusion, equipping marketing professionals to merge datasets effectively for comprehensive marketing insights.
|
参照:https://trailheadacademy.salesforce.com/certificate/exam-mc-intelligence-ap---AP-215
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