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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:

The client performed the below standard mapping:

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:

A.
A Harmonized dimension was created via a pattern over the Creative Name.
A.
A Harmonized dimension was created via a pattern over the Creative Name.
Answers
B.
A calculated dimension was created with the formula: EXTRACT([Creative_Namel, #1)
B.
A calculated dimension was created with the formula: EXTRACT([Creative_Namel, #1)
Answers
C.
An EXTRACT formula (for Color) was written and mapped to a Media Buy custom attribute.
C.
An EXTRACT formula (for Color) was written and mapped to a Media Buy custom attribute.
Answers
D.
An EXTRACT formula (for Color) was written and mapped to a Creative custom attribute.
D.
An EXTRACT formula (for Color) was written and mapped to a Creative custom attribute.
Answers
Suggested answer: D

An implementation engineer has been asked by a client for assistance with the following problem:

The below dataset was ingested:

However, when performing QA and querying a pivot table with Campaign Category and Clicks, the value for Type' is 4.

What could be the reason for this discrepancy?

A.
The measurement 'Clicks' is set as a percentage.
A.
The measurement 'Clicks' is set as a percentage.
Answers
B.
A mapping formula was populated, indicating not to bring Type! values.
B.
A mapping formula was populated, indicating not to bring Type! values.
Answers
C.
The aggregation function is set as AVG
C.
The aggregation function is set as AVG
Answers
D.
The aggregation function is set as LIFETIME
D.
The aggregation function is set as LIFETIME
Answers
Suggested answer: C

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

A client would like to integrate the following two sources:

Google Campaign Manager:

IAS:

After configuring a Parent-Child relationship between the files, which query should an implementation engineer run in order to QA the setup?

A.
Media Buy Type, Media Buy Name, Impressions, Analyzed Impressions
A.
Media Buy Type, Media Buy Name, Impressions, Analyzed Impressions
Answers
B.
Creative Name, Impressions, Analyzed Impressions
B.
Creative Name, Impressions, Analyzed Impressions
Answers
C.
Media Buy Name, Impressions
C.
Media Buy Name, Impressions
Answers
D.
Media Buy Type, Analyzed Impressions
D.
Media Buy Type, Analyzed Impressions
Answers
Suggested answer: A

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)
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)
Answers
B.
Option A
B.
Option A
Answers
C.
Option B
C.
Option B
Answers
D.
Option C
D.
Option C
Answers
E.
Option D
E.
Option D
Answers
Suggested answer: B

The following file was uploaded into Marketing Cloud Intelligence as a generic dataset type:

The mapping is as follows:

Day --- Day

Web_site_source --- Main Generic Entity Attribute 01

Page Views --- Generic Metric 1

*Note that 'web_site_key' and 'web_site_name' are NOT mapped.

How many rows will be stored in Marketing Cloud Intelligence after the above file is ingested?

A.
4
A.
4
Answers
B.
0
B.
0
Answers
C.
1
C.
1
Answers
D.
3
D.
3
Answers
Suggested answer: A

The following file was uploaded into Marketing Cloud Intelligence as a Generic Data Stream type:

The mapping is as follows:

Day --- Day

web_site_key ---> Main Generic Entity Key

web_site_name ---> Main Generic Entity Name

Web_site_source ---> Main Generic Entity Attribute 01

Page Views --- Generic Metric 1

How many rows will be stored in Marketing Cloud Intelligence after the above file is ingested?

A.
1
A.
1
Answers
B.
0
B.
0
Answers
C.
3
C.
3
Answers
D.
4
D.
4
Answers
Suggested answer: D

Your client is interested in ingesting the below file:

The client decided to upload the file to a new generic data stream type and map 'Date' to 'Day' and 'Number of Topics' to a generic custom metric.

In regards to the fields 'Meeting Code' and 'Meeting Name', your client is debating several options.

Which two options would you recommend in order to avoid data loss?

A.
'Meeting Code' will be mapped to 'Main Generic Entity Key'. 'Meeting Name' will be mapped to 'Main Generic Entity custom attribute'.
A.
'Meeting Code' will be mapped to 'Main Generic Entity Key'. 'Meeting Name' will be mapped to 'Main Generic Entity custom attribute'.
Answers
B.
'Meeting Code' will be mapped to 'Main Generic Entity Key'. 'Meeting Name' will be mapped to 'Generic Entity 2 Key'.
B.
'Meeting Code' will be mapped to 'Main Generic Entity Key'. 'Meeting Name' will be mapped to 'Generic Entity 2 Key'.
Answers
C.
'Meeting Code' will be mapped to 'Main Generic Entity Attribute 1'. 'Meeting Name' will be mapped to 'Main Generic Entity Attribute 2'.
C.
'Meeting Code' will be mapped to 'Main Generic Entity Attribute 1'. 'Meeting Name' will be mapped to 'Main Generic Entity Attribute 2'.
Answers
D.
'Meeting Code' will be mapped to 'Main Generic Entity custom attribute'. 'Meeting Name' will be mapped to 'Generic Entity Key'
D.
'Meeting Code' will be mapped to 'Main Generic Entity custom attribute'. 'Meeting Name' will be mapped to 'Generic Entity Key'
Answers
E.
Concatenation of both 'Meeting Code' and 'Meeting Name' will be mapped to 'Main Generic Entity Key'. 'Meeting Code' will be mapped to 'Main Generic Entity Attribute 1'. 'Meeting Name' will be mapped to 'Main Generic Entity Attribute 2'.
E.
Concatenation of both 'Meeting Code' and 'Meeting Name' will be mapped to 'Main Generic Entity Key'. 'Meeting Code' will be mapped to 'Main Generic Entity Attribute 1'. 'Meeting Name' will be mapped to 'Main Generic Entity Attribute 2'.
Answers
Suggested answer: A, E

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?

A.
Scalability
A.
Scalability
Answers
B.
Ease of Setup
B.
Ease of Setup
Answers
C.
Performance (Performance when loading a dashboard page)
C.
Performance (Performance when loading a dashboard page)
Answers
D.
Ease of Maintenance
D.
Ease of Maintenance
Answers
Suggested answer: A

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(csy['campaign_name]],~',0),3)
A.
LEFT(EXTRACT(csy['campaign_name]],~',0),3)
Answers
B.
EXTRACT(csv[campaign_name!;@',1)
B.
EXTRACT(csv[campaign_name!;@',1)
Answers
C.
EXTRACT(csv[campaign_name'],---,0)
C.
EXTRACT(csv[campaign_name'],---,0)
Answers
D.
EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
D.
EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
Answers
E.
LEFT(EXTRACT(csv[campaign_name'}/---',1),3)
E.
LEFT(EXTRACT(csv[campaign_name'}/---',1),3)
Answers
Suggested answer: B
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