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Salesforce AP-215 Exam Syllabus Topics:

Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:

1. A client's data consists of three data sources - Facebook Ads, LinkedIn Ads and Google Campaign Manager.
Notes:
* The client is planning on adding an additional 100 Facebook Ads data streams and 50 more LinkedIn Ads data streams.
* The final volume of data in the workspace will be 5M rows
* Each data source has a naming convention and it can be assumed that any additional profile (i.e. Data Stream) from one of these sources will follow the same naming convention.
The client provided the following sample files:
Facebook Ads:


The client would like to create a new harmonization field named "Market," which will only be coming from Facebook Ads and LinkedIn Ads. The logic for
"Market" is the following:
IF Media Buy Type is equal to "TypeB" or "TypeC" or "TypeD"
Return 'Europe'
ELSE
Return 'Rest Of The World'
In order to create the harmonization field Market, the client considers using either Mapping Formula, Calculated Dimension, VLOOKUP or Patterns.
Considering maintenance and scalability, which option is recommended?

A) Calculated Dimension
B) vLookuP
C) Mapping Formulas
D) Patterns

2. An implementation engineer is requested to create the harmonization field - Magician This field should come from multiple Twitter Ads data streams, and should follow the below logic:

Using the Harmonization Center, the engineer created a single Pattern for Campaign Name. What other action should the engineer take to meet the requirements?

A) Create a second Pattern for Media Buy Name and apply two Classification Rules (one for 'Messi' and another for Ronaldo') for the final Harmonized Dimension.
B) Create a second Pattern for Media Buy Name
C) Create a second Pattern for Media Buy Name and add a validation list (with the two values) for the final Harmonized Dimension.
D) Create a second Pattern for Media Buy Name and apply a Classification Rule (with the two values) for the final Harmonized Dimension

3. An implementation engineer has been provided with the below dataset:

*Note: CPC = Cost per Click
Formula: Cost / Clicks
Which action should an engineer take to successfully integrate CPC?

A) Populate the logic within a custom measurement. No need to change Aggregation.
B) Populate the logic within a custom measurement. Set Aggregation to SUM.
C) Unmap it, as Datorama will calculate it automatically.
D) Populate the logic within a custom measurement. Set Aggregation to AVG.

4. What is the relationship between "Media Buy Key" and "Campaign Key"?

A) Many-to-many
B) Many-to-one (one Campaign Key has many Media Buy Keys)
C) One-to-one
D) One-to-many (one Media Buy Key has many Campaign Keys)

5. 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) 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
B) 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
C) 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.
D) 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.

Solutions: