After uploading a standard file into Marketing Cloud intelligence via total Connect, you noticed that the number of rows uploaded (to the specific data stream) is NOT equal to the number of rows present in the source file. What are two resource that may cause this gap?
A. All mapped Measurements for a given row have values equal to zero
B. Main entity is not mapped
C. The source file does not contain the mediaBuy entity
D. The file does not contain any measurements (dimension only)
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 5
C. Option 3
D. Option 4
E. Option 1
Your client would like to create a new harmonization field - Exam Topic. The below table represents the harmonization logic from each source.
The client suggested to create, without any mapping manipulations, several patterns via the harmonization center that will generate two Harmonized Dimensions:
Exam ID
Exam Topic
Given the above information, which statement is correct regarding the ability to implement this request with the above suggestion?
A. The above Patterns setup will not work for this use case.
B. The solution will work - the client will be able to view Exam Topic with Email Sends.
C. Only if 5 different Patterns are created, from 5 different fields - the solution will work.
D. The Harmonized field for Exam ID is redundant. One Harmonized dimension for Exam Topic is enough for a sustainable and working solution
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” — Generic Entity Key 2
“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 January (entire month). What is the number of opportunities in the Interest stage?
A. 1
B. 3
C. 2
D. 0
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
A. When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
B. Pacing - daily rows are being created for every lead and opportunity keys
C. No mappable measurements - all measurements are calculated
D. The data is stored at the workspace level.
A client has provided you with sample files of their data from the following data sources:
1.Google Analytics
2.Salesforce Marketing Cloud
The link between these sources is on the following two fields:
Message Send Key
A portion of: web_site_source_key
Below is the logic the client would like to have implemented in Datorama:
For ‘web site medium’ values containing the word “email” (in all of its forms), the section after the “_” delimiter in ‘web_site_source_key’ is a 4 digit number, which matches the 'Message Send Key’ values from the Salesforce Marketing Cloud file. Possible examples of this can be seen in the following table:
Google Analytics:
In order to achieve this, what steps should be taken?
A. Within both files, map the desired value to Custom Classification Key as follows Salesforce Marketing Cloud: map entire Message Key to Custom Classification Key. Google Analytics: map the extraction logic to Custom Classification Key.
B. Create a Web Analytics Site custom attribute and populate it with the extraction logic. Create a Data Fusion between the newly created attribute and the Message Send Key.
C. Upload the two files and create a Parent-Child relationship between them. The Override Media Buy Hierarchy checkbox is checked in Google Analytics.
D. Create a Web Analytics Site Source custom attribute and populate it with the extraction logic. Create a Data Fusion between the newly created attribute and the Message Send Key.
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:
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.
Your client provided the following sources:
Source 1:
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. 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
A client created a new KPI: CPS (Cost per Sign-up).
The new KIP is mapped within the data stream mapping, and is populated with the following logic: (Media Cost) / Sign-ups)
As can be seen in the table below, CPS was created twice and was set with two different aggregations:
A. Option A
B. Option B
C. Option C
D. Option D
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” — Generic Entity key 2
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan 7th-11th.Which option reflects the stage(s) the opportunity key 123AA01 is associated with?
A. Interest & Registered
B. Confirmed interest
C. interest
D. Confirmed Interest & Registered
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