A client provides the following three files:
File A:

File B:

File C:

File A was uploaded using the Ads data stream type.
The client would like to create this view (data from Files B & C) in Datorama:

Which proposed solution would cause a false connection between the two files?

• A. Custom classification
• B. Data Classification
• C. VLOOKUP in Data Stream C. Vlookup will return "MB Name"
• D. VLOOKUP in Data Stream B. Vlookup will return "Day" and "Installs"

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

• A. Variable Dimensions hold a Many-to-Many relationship with its main entity
• B. These are stand alone dimensions that pertain to the data set itself rather than to a specific entity
• C. All variables exist in every data set type, hence are considered as overarching dimensions
• D. These dimensions are stored at the workspace level

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. Main entity is not mapped
• B. The source file does not contain the media Buy entity
• C. All mapped Measurements for a given row have values equal to zero
• D. The file does not contain any measurements (dimension only)

Your client provided the following sources:
Source 1:

Source 2:

Source 3:

As can be seen, the Product values present in sources 2 and 3 are similar and can be linked with the first extraction from 'Media Buy Name' in source1 The end goal is to achieve a final view of Product Group alongside Clicks and Sign Ups, as described below:

Which two options will meet the client's requirement and enable the desired view?

• A. Overarching Entities:
  Source 1: custom classification key will be populated with the extraction of the Media Buy Name.
  Source 2: 'Product' will be mapped to Product field and 'Product Group' to Product Name.
  Source 3: 'Product' will be mapped to Product field.
• B. Parent Child:
  All sources will be uploaded to the same data stream type - Ads. The setup is the following:
  Source 1: Media Buy Key -- Media Buy Key, extracted product value - Media Buy Attribute.
  Source 2: Product - Media Buy Key, Product Group -- Media Buy Attribute.
  Source 3: Product - Media Buy Key.
• C. Harmonization Center:
  Patterns from sources 1 and 3 generate harmonized dimension 'Product'. Data Classification rule, using source 2, is applied on top of the harmonized dimension
• D. Custom Classification: 1
  Source 1: Custom Classification key will be populated with the extraction of the Media Buy Name.
  Source 2: 'Product' will be mapped to Custom Classification key and 'Product Group' to a Custom Classification level. Exam Timer Source 3: 'Product will be mapped to Custom Classification key. Came

What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?

• A. When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
• B. No mappable measurements - all measurements are calculated
• C. The data is stored at the workspace level.
• D. Pacing - daily rows are being created for every lead and opportunity keys