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

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?

Options :

A : 3

B : 1

C : 0

D : 2

Answer: C

Question 3

Which statement is accurate when discussing similarities between implementing CRM data into the CRM data stream types or into a Generic data stream type?

Options :

A : When implementing a CRM use case, the data can be linked and harmonized to the rest of the data in the workspace, whether using the CRM data stream types or a Generic data O stream type.

B : When implementing a CRM use case, Type II dimensions are mappable in both CRM data stream types and Generic data stream type.

C : When implementing a CRM use case the data is stored at the workspace level, whether using the CRM data stream types or a Generic data stream type.

D : When implementing a CRM use case, daily rows are being created and paced in both CRM data stream types and Generic data stream type.

Answer: C

Question 4

Which is not a necessary requirement to gather or confirm during Discovery?

Options :

A : QA page validation

B : Data source list

C : Mockup sign off

D : Calculation Logic for KPIs

Answer: A

Question 5

Table A is the first one e B the secondData Stream A has the following properties:Override Media Buy Hierarchies - YesIt is considered as the Source of truth for ImpressionsThe mapping of dimensions for Data Stream A is as follows:Media Buy Key is mapped to Media Buy KeyMedia Buy Name is mapped to Media Buy NameData Stream B has the following properties:Override Media Buy Hierarchies - NoThe mapping of dimensions for Data Stream B is as follows:Media Buy Name is mapped to Media Buy NameTable A 2022-09-27-20-33-31-c69c2c8175dbb38f8558ca89f5c911a5 Table B 2022-09-27-20-33-31-8999fd07f93132f7f6de60870458da95 After creating a Parent-Child relationship between the two files as follows: Table B is set as a Child, with Data Updates Permission: Inherit Attributes and Hierarchy. What is the amount of clicks for “MBK A” ?

Options :

A : 10

B : We cannot know as it depends on which data stream runs first

C : v

D : N/A

Answer: D

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