最新なSalesforce Marketing-Cloud-Intelligence問題集（64題）、真実試験の問題を全部にカバー！

質問 1：
A client's data consists of three data sources - Facebook Ads, LinkedIn Ads and Google Campaign Manager.
Notes:
* The client is planning on adding an additional 100 Facebook Ads data streams and 50 more LinkedIn Ads data streams.
* The final volume of data in the workspace will be 5M rows
* Each data source has a naming convention and it can be assumed that any additional profile (i.e. Data Stream) from one of these sources will follow the same naming convention.
The client provided the following sample files:
Facebook Ads:


The client would like to create a new harmonization field named "Market," which will only be coming from Facebook Ads and LinkedIn Ads. The logic for
"Market" is the following:
IF Media Buy Type is equal to "TypeB" or "TypeC" or "TypeD"
Return 'Europe'
ELSE
Return 'Rest Of The World'
In order to create the harmonization field Market, the client considers using either Mapping Formula, Calculated Dimension, VLOOKUP or Patterns.
Considering maintenance and scalability, which option is recommended?
A. Mapping Formulas
B. Patterns
C. vLookuP
D. Calculated Dimension
正解：B
解説: (Pass4Test メンバーにのみ表示されます)

質問 2：
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
A. Pacing - daily rows are being created for every lead and opportunity keys
B. No mappable measurements - all measurements are calculated
C. The data is stored at the workspace level.
D. When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
正解：A,B
解説: (Pass4Test メンバーにのみ表示されます)

質問 3：
A client wants to integrate their data within Marketing Cloud Intelligence to optimize their marketing insights and cross-channel marketing activity analysis. Below are details regarding the different data sources and the number of data streams required for each source.

What three advantages are gained when using Patterns & Data Classification as the harmonization method for creating the Objective field?
A. Scalability
B. Processing (processing time when loading relevant data streams)
C. Use of code
D. Ease of Maintenance
E. Performance (Performance when loading a dashboard page)
正解：A,D,E
解説: (Pass4Test メンバーにのみ表示されます)

質問 4：
Which three statements accurately describe the different data stream types in Marketing Cloud intelligence?
A. Each data stream type has its own set of measurements
B. Every data stream type includes the Medio Buy entity
C. All data stream types share at least one mutual measurement
D. All data stream types consist of at least one entity
E. Each data stream type has Its own main entity
正解：A,D,E
解説: (Pass4Test メンバーにのみ表示されます)

質問 5：
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?
A. 0
B. 1
C. 3
D. 2
正解：A
解説: (Pass4Test メンバーにのみ表示されます)

質問 6：
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?
A.

B.

C.

D.

正解：A
解説: (Pass4Test メンバーにのみ表示されます)