Question 1

Which of the following is usually not a dimension?

Options :

A : Date

B : Device

C : Campaign Key

D : Clicks

Answer: D

Question 2

An implementation engineer has been asked to perform a QA for a newly created harmonization field, Color, implemented by a client. The source file that was ingested can be seen below:

As a final step, the client had created the field ‘Color’. As can be seen, it is extracted from the Creative Name (after the ‘#’ sign). For QA purposes, you have queried a pivot table, with the following fields: * Media Buy Key * Media Buy Name * In View Impressions The final pivot is presented below:

Options :

A : A Harmonized dimension was created via a pattern over the Creative Name.

B : A calculated dimension was created with the formula: EXTRACT([Creative_Namel, #1)

C : An EXTRACT formula (for Color) was written and mapped to a Media Buy custom attribute.

D : An EXTRACT formula (for Color) was written and mapped to a Creative custom attribute.

Answer: D

Question 3

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 4

Table A is the first one e B the second

Data Stream A has the following properties:

Override Media Buy Hierarchies - Yes

It is considered as the Source of truth for Impressions

The mapping of dimensions for Data Stream A is as follows:

Media Buy Key is mapped to Media Buy Key

Media Buy Name is mapped to Media Buy Name

Data Stream B has the following properties:

Override Media Buy Hierarchies - No

The mapping of dimensions for Data Stream B is as follows:

Media Buy Name is mapped to Media Buy Name

Table 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

Question 5

Two different Media Buy Keys, associated with the same IO Key, can have different rates.

Options :

A : False

B : True

Answer: A

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