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Marketing-Cloud-Intelligence Practice Questions

Question # 1
A client's data consists of three data streams as follows: Data Stream A:

A. Update Attributes
B. Inherit Attributes and Hierarchies
C. Update Attributes and Hierarchies
D. It doesn't matter. As long as Data stream A is set as a Parent', the rest of the Data Updates Permissions are irrelevant.


B. Inherit Attributes and Hierarchies

Explanation: For the client's data consisting of three data streams, setting Data Stream A as the Parent allows for inheriting attributes and hierarchies from it to the child data streams. This ensures consistency across the data streams, making it possible to analyze the data collectively, using the structure and attributes defined in the Parent data stream.


Question # 2
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’.
B. ‘Meeting Code’ will be mapped to ‘Main Generic Entity Key’. ‘Meeting Name' will be mapped to ‘Generic Entity 2 Key’.
C. ‘Meeting Code’ will be mapped to ‘Main Generic Entity Attribute 1’. ‘Meeting Name’ will be mapped to ‘Main Generic Entity Attribute 2’.
D. ‘Meeting Code’ will be mapped to ‘Main Generic Entity custom attribute’. ‘Meeting Name’ will be mapped to ‘Generic Entity Key’
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’.


A. ‘Meeting Code’ will be mapped to ‘Main Generic Entity Key’. ‘Meeting Name' will be mapped to ‘Main Generic Entity custom attribute’.
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’.

Explanation: To avoid data loss and ensure each meeting is uniquely identified and its details are preserved, two mappings are recommended:
Option A:
‘Meeting Code’ should be mapped to the 'Main Generic Entity Key' to uniquely identify each meeting.
‘Meeting Name’ should be mapped to a 'Main Generic Entity custom attribute' to store additional information about the meeting.
Option E:
Concatenation of ‘Meeting Code’ and ‘Meeting Name’ should be mapped to ‘Main Generic Entity Key’. This ensures a unique identifier for each meeting is created combining both pieces of information, preventing any mix-ups between meetings with similar codes or names.
Additionally, mapping ‘Meeting Code’ and ‘Meeting Name’ to their respective 'Main Generic Entity Attribute' fields will allow for more detailed filtering and reporting capabilities within Marketing Cloud Intelligence.


Question # 3
What Is a disadvantage of using a Vlookup formula?
A. Can return values only from the same data stream type
B. It cannot be used more than once from the same data stream.
C. Could extend processing time of data streams.
D. It allows classifying data only on a basis of mutual entity keys.


C. Could extend processing time of data streams.

Explanation: The use of VLOOKUP formulas can increase the processing time of data streams because it requires a lookup operation for each row in the data set. When large volumes of data are involved, or when multiple VLOOKUPs are used, this can significantly impact processing time due to the complexity and computational requirements of matching and retrieving the data.


Question # 4
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. Registered
B. Interest & Registered
C. Confirmed Interest & Registered
D. Interest
E. Confirmed Interest


B. Interest & Registered

Explanation: Analyzing the Opportunity file with a filter set from January 7th to 11th, Opportunity Key '123AA01' appears under 'Interest' on January 6th and 8th, and under 'Registered' on January 10th. Therefore, during the specified date range, Opportunity Key '123AA01' is associated with both 'Interest' and 'Registered' stages. Salesforce Marketing Cloud Intelligence provides the capability to map and track opportunity stages over time, allowing for historical stage tracking and reporting. This answer aligns with the ability to use pivot tables to filter and display data by specific attributes and timeframes, as outlined in the Salesforce Marketing Cloud Intelligence documentation.


Question # 5
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” — Main Generic Entity Attribute
“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 Jan 11th. What is the number of ‘opportunities in the Confirmed Interest stage?
A. 3
B. 1
C. 0
D. 2


C. 0

Explanation: Based on the data provided and the date filter set to January 11th, there are no records for 'Confirmed Interest' on that specific date in the Opportunity file. Thus, the number of opportunities in the 'Confirmed Interest' stage for January 11th would be zero(0).
In Salesforce Marketing Cloud Intelligence, when creating pivot tables, the data is aggregated based on the selected filters. If no records meet the filter criteria, the result for that category would be zero. The answer is supported by best practices in data analysis and reporting within Salesforce Marketing Cloud Intelligence, where date filters are applied to segment and analyze data.


Question # 6
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)
B. EXTRACT(csv[campaign_name!;@',1)
C. EXTRACT(csv[campaign_name'],—,0)
D. EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
E. LEFT(EXTRACT(csv[campaign_name'}/—',1),3)


B. EXTRACT(csv[campaign_name!;@',1)

Explanation: The EXTRACT function is used to split a string based on a delimiter and return the segment at the specified position. The campaign names are structured with the segment of interest followed by an '@' sign. Therefore, the formula needs to extract the segment before the '@'.
The correct formula is: EXTRACT(csv['campaign_name']; '@', 1). This will take the 'campaign_name' field, split it at the '@' sign, and return the first segment (position 1), which is the three-letter code that is required. The other options are incorrect because they do not properly specify the delimiter and the segment position in the way needed to achieve the desired outcome.


Question # 7
A client provides the following two data streams:
Data Stream 1:



Question-

The client would like to use a VLOOKUP formula to calculate the Cost per Campaign Advertiser on January 1st 2020. Which mapping options should the client apply to obtain the expected result?

A. Option A
B. Option B
C. Option C
D. Option D


A. Option A

Explanation: To calculate Cost per Campaign Advertiser using a VLOOKUP formula, the client needs to look up the 'Cost' from Data Stream 2 based on a matching 'Media Buy Name' in Data Stream 1. Option A shows that 'Media Buy Name' is the lookup value, which is correct. The 'Campaign Advertiser' is then linked to the 'Cost' from Data Stream 2 through the VLOOKUP formula applied to the 'Media Buy Custom Attribute 01' in Data Stream 2. This setup will correctly associate the cost with the campaign advertiser.


Question # 8
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


B. 3

Explanation: Based on the Opportunity file, the Opportunity Stage of 'Interest' occurs 3 times across unique Opportunity Keys. Since the pivot table is filtered to present the entire month of January and the Opportunity Stage 'Interest' is listed three times with different Opportunity Keys, the count of opportunities in the 'Interest' stage would be 3.


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Salesforce Marketing-Cloud-Intelligence Exam Dumps

Exam Name: Marketing Cloud Intelligence Accredited Professional
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