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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?
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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 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. Assuming the data was ingested properly and the Parent Child was created correctly according to the client's requirements, what is the total Impressions value for Campaign Key 'CK_3'?
An implementation engineer is requested to integrate the following files: File A: File B: The client would like to link the two files in order to view the two KPIS (Tasks Completed' and 'tasks Assignmed') alongside'Employee Name' and/or 'Squard'. A Parent-Child configuration was set between the two. Which two statements are correct?
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)
A client provides the following two data streams: Data Stream 1: Question- The client would like to use a VLOOKUP formula to calculate the Cost per Campaign Advertiser on January 1st 2020. Which mapping options should the client apply to obtain the expected result? A) B) D)
Which Marketing Cloud Intelligence field is considered an attribute and not a ''variable''?
A client has provided you with sample files of their data from the following data sources: 1.Google Analytics 2.Salesforce Marketing Cloud The link between these sources is on the following two fields: Message Send Key A portion of: web_site_source_key Below is the logic the client would like to have implemented in Datorama: For 'web site medium' values containing the word ''email'' (in all of its forms), the section after the ''_'' delimiter in 'web_site_source_key' is a 4 digit number, which matches the 'Message Send Key' values from the Salesforce Marketing Cloud file. Possible examples of this can be seen in the following table: Google Analytics: Salesforce Marketing Cloud: The client's objective is to visualize the mutual key values alongside measurements from both files in a table. In order to achieve this, what steps should be taken?
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?

Question 49 - Certified Marketing Cloud Intelligence Accredited Professional discussion

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Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?

A.
These dimensions are stored at the workspace level
Answers
A.
These dimensions are stored at the workspace level
B.
Variable Dimensions hold a Many-to-Many relationship with its main entity
Answers
B.
Variable Dimensions hold a Many-to-Many relationship with its main entity
C.
All variables exist in every data set type, hence are considered as overarching dimensions
Answers
C.
All variables exist in every data set type, hence are considered as overarching dimensions
D.
These are stand alone dimensions that pertain to the data set itself rather than to a specific entity
Answers
D.
These are stand alone dimensions that pertain to the data set itself rather than to a specific entity
Suggested answer: B, D
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asked 23/09/2024
Shantal Aviles
33 questions
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