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Last Updated: Aug 21, 2026
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| Section | Objectives |
|---|---|
| Topic 1: Administration and Security | - Data access control - User roles and permissions - Platform configuration |
| Topic 2: Data Modeling and Transformation | - Normalization and harmonization - Data model structure and schema design - Metrics and dimensions configuration |
| Topic 3: Data Ingestion and Integration | - Data synchronization and scheduling - Data ingestion processes - Data sources and connectors |
| Topic 4: Data Quality and Troubleshooting | - Data validation and monitoring - Performance optimization - Error handling and debugging |
| Topic 5: Analytics and Dashboarding | - Insights and reporting - Dashboard creation and configuration - Visualization best practices |
| Topic 6: Marketing Use Cases and Activation | - Campaign performance analysis - Cross-channel marketing insights - Business reporting use cases |
1. Which three statements describe Overarching Entities? 03m 23s
A) When needed, these entities can act as a main entity, replacing the original one.
B) Some overarching entities hold a Many-to-Many relationship with the main entity, and others hold a One-to-Many relationship with it.
C) These are mappable dimensions that are present in each and every dataset type
D) The values of these entities are stored at the workspace level, rather than the data stream level
E) Once the data streams in which Custom Classification values were mapped are deleted, their data is deleted.
2. An implementation engineer is requested to extract the first three-letter segment of the Campaign Name values.
For example:
Campaign Name: AFD@Mulop-1290
Desired outcome: AFD
Other examples:
Which formula will return the desired values?
A) LEFT(EXTRACT(csv[campaign_name'}/-',1),3)
B) EXTRACT(csv[campaign_name!;@',1)
C) EXTRACT(csv[campaign_name'],-,0)
D) LEFT(EXTRACT(csy['campaign_name]],~',0),3)
E) EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
3. A client has integrated the following files:
File A:
File B:
The client would like to link the two files in order to view the two KPIs ('Tasks Completed' and 'Tasks Assigned) alongside 'Employee Name' and/or
'Squad'.
The client set the following properties:
+ File A is set as the Parent data stream
* Both files were uploaded to a generic data stream type.
* Override Media Buy Hierarchies is checked for file A.
* The 'Data Updates Permissions' set for file B is 'Update Attributes and Hierarchy'.
When filtering on the entire date range (1-30/8), and querying employee ID, Name and Squad with the two measurements - what will the result look like?
A)
B)
C)
D) 
4. A client Ingested the following We into Marketing Cloud Intelligence:
The mapping of the above file can be seen below:
Date - Day
Media Buy Key - Media Buy Key
Campaign Name - Campaign Name
Campaign Group -. Campaign Custom Attribute 01
Clicks -> Clicks
Media Cost -> Media Cost
Campaign Planned Clicks -> Delivery Custom Metric 01
The client would like to have a "Campaign Planned Clicks" measurement.
This measurement should return the "Campaign Planned Clicks" value per Campaign, for example:
For Campaign Name 'Campaign AAA", the "Campaign Planned Clicks" should be 2000, rather than 6000 (the total sum by the number of Media Buy keys).
In order to create this measurement, the client considered multiple approaches. Please review the different approaches and answer the following question:
Which two options will yield a false result:
A) Option 2
B) Option 1
C) Option 5
D) Option 3
E) Option 4
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) 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) 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
Solutions:
| Question # 1 Answer: A,B,D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B,C | Question # 5 Answer: A,D |
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