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 `tasksAssignmed') alongside'Employee Name' and/or `Squard'.A Parent-Child configuration was set between the two.Which two statements are correct?
Answer(s): C,D
In Marketing Cloud Intelligence, joining two files requires a common field to be mapped as the same entity. If "employee_name" is consistently mapped across both data streams, it can serve as the basis for the join, regardless of whether "employee_id" is mapped. The choice of which file serves as the Parent stream depends on the use case and the desired reporting structure, but technically, either could serve as the Parent.
A client has integrated data from Facebook Ads. Twitter ads, and Google ads in marketing Cloud intelligence. For each data source, the source, the data follows a naming convensions as ...Facebook Ads Naming Convention - Campaign Name:CampID_CampName#Market_Object#object#targetAge_TargetGender Twitter Ads Naming Convention- Media Buy NameMarketTargeAgeObjectiveOrderIDGoogle ads Naming Convention-Media Buy Name:Buying_type_Market_ObjectiveThe client wants to harmonize their data on the common fields between these two platforms (i.e. Market and Objective) using the Harmonization Center. Given the above information, which statement is correct regarding the ability to implement this request? wet Me - Given the above information, which statement i 's Correct regarding the ability to implement this request?
Answer(s): D
Despite the different naming conventions, harmonization is possible using patterns in theHarmonization Center. By extracting the 'Market' and 'Objective' components from the naming conventions of each platform, three separate patterns would be created to map these common fields consistently across the data from Facebook Ads, Twitter Ads, and Google Ads.
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?
Answer(s): A
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.
A client created a new KPI: CPS (Cost per Sign-up).The new KIP is mapped within the data stream mapping, and is populated with the following logic:(Media Cost) / Sign-ups)As can be seen in the table below, CPS was created twice and was set with two different aggregations:From looking at the table, what are the aggregation settings for each one of the newly created KPIs? A)B)C)D)
Answer(s): C
The KPI CPS (Cost per Sign-up) would be calculated by dividing the 'Media Cost' by 'Sign-ups'. The table indicates that CPS is set with two different aggregations. In option C, CPS #1 is set to 'AUTO', which allows the system to decide the best aggregation method based on the context. CPS #2 is set to 'SUM', which indicates that the individual costs per sign-up are summed up across multiple records to provide a total cost per sign-up.
An implementation engineer has been asked to perform QA for a standard file ingestion, done by the client.The source file that was ingested can be seen below:The number of rows added to this data stream is 3. What could have led to this discrepancy?
The source file shows data related to media buys, including a 'Media Buy Key', 'Media Buy Name', 'Campaign Key', and 'Site Key', among other fields. If only three rows were added, and the discrepancy is due to a missing field, it's likely that 'Campaign Key' is the field not mapped, because it is crucial for linking related records in the data stream. Without the 'Campaign Key', the system cannot associate the media buy data with specific campaigns, leading to a potential loss of data rows during ingestion.
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