Question 1

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?

Options :

A :

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

B :

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.

C :

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.

D :

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

Answer: A,D

Question 2

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?

Options :

A :

An attribute of ‘Meeting Code’A custom metric and set aggregation to AUTO

B : A custom metric and set aggregation to AUTO

C : A custom metric and set aggregation to SUM

D : A separate entity key

Answer: A

Question 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.

When harmonizing the Objective field from within the data stream mapping, which advantage is gained?

Options :

A : Scalability

B : Ease of Setup

C : Performance (Performance when loading a dashboard page)

D : Ease of Maintenance

Answer: D

Question 4

Which of the following is a characteristic of overarching entities?

Options :

A : They exist in all data stream types and They apply at the workspace level, not the data stream level

B : They exist in all data stream types

C : They apply at the workspace level, not the data stream level

D : They exist in all data stream types and They only exist in the ads stream type

E : They only exist in the ads stream type

Answer: A

Question 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” — 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?

Options :

A : Interest & Registered

B : Confirmed interest

C : interest

D : Confirmed Interest & Registered

Answer: A

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