What is Salesforce Marketing-Cloud-Intelligence?
Salesforce Marketing-Cloud-Intelligence is a necessary certification exam to get certified. The certification is a reward to the deserving candidate with perfect results. The Accredited Professional Certification Certification validates a candidate's expertise to work with Salesforce. In this fast-paced world, a certification is the quickest way to gain your employer's approval. Try your luck in passing the Marketing Cloud Intelligence Accredited Professional Exam Exam and becoming a certified professional today. Salesforcexamdumps.com is always eager to extend a helping hand by providing approved and accepted Salesforce Marketing-Cloud-Intelligence Practice Questions. Passing Marketing Cloud Intelligence Accredited Professional Exam will be your ticket to a better future!
Pass with Salesforce Marketing-Cloud-Intelligence Braindumps!
Contrary to the belief that certification exams are generally hard to get through, passing Marketing Cloud Intelligence Accredited Professional Exam is incredibly easy. Provided you have access to a reliable resource such as Salesforcexamdumps.com Salesforce Marketing-Cloud-Intelligence PDF. We have been in this business long enough to understand where most of the resources went wrong. Passing Salesforce Accredited Professional Certification certification is all about having the right information. Hence, we filled our Salesforce Marketing-Cloud-Intelligence Dumps with all the necessary data you need to pass. These carefully curated sets of Marketing Cloud Intelligence Accredited Professional Exam Practice Questions target the most repeated exam questions. So, you know they are essential and can ensure passing results. Stop wasting your time waiting around and order your set of Salesforce Marketing-Cloud-Intelligence Braindumps now!
We aim to provide all Accredited Professional Certification certification exam candidates with the best resources at minimum rates. You can check out our free demo before pressing down the download to ensure Salesforce Marketing-Cloud-Intelligence Practice Questions are what you wanted. And do not forget about the discount. We always provide our customers with a little extra.
Why Choose Salesforce Marketing-Cloud-Intelligence PDF?
Unlike other websites, Salesforcexamdumps.com prioritize the benefits of the Marketing Cloud Intelligence Accredited Professional Exam candidates. Not every Salesforce exam candidate has full-time access to the internet. Plus, it's hard to sit in front of computer screens for too many hours. Are you also one of them? We understand that's why we are here with the Accredited Professional Certification solutions. Salesforce Marketing-Cloud-Intelligence Question Answers offers two different formats PDF and Online Test Engine. One is for customers who like online platforms for real-like Exam stimulation. The other is for ones who prefer keeping their material close at hand. Moreover, you can download or print Salesforce Marketing-Cloud-Intelligence Dumps with ease.
If you still have some queries, our team of experts is 24/7 in service to answer your questions. Just leave us a quick message in the chat-box below or email at [email protected]
Salesforce Marketing-Cloud-Intelligence Sample Questions
Question # 1
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
Answer: C
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.
Show Answer
Question # 2
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.
B. A mapping formula was populated, indicating not to bring Type! values.
C. The aggregation function is set as AVG
D. The aggregation function is set as LIFETIME
Answer: C
Explanation: The discrepancy of 'Clicks' being reported as 4 for 'Type1' when the sum of
clicks in the dataset for 'Type1' is 8 (2 on 02/02/2021 and 6 on 03/02/2021) suggests that
the aggregation function used in the pivot table is set to average (AVG) rather than sum.
Salesforce Marketing Cloud Intelligence allows setting different aggregation functions for
metrics, and setting it to average would result in such a discrepancy when more than one
entry for the same type exists. References: Salesforce Marketing Cloud Intelligence
documentation on custom measurements and data aggregations explains how to set and
understand different aggregation functions.
Show Answer
Question # 3
Animplementation 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. Unmap it, as Datorama will calculate it automatically.
C. Populate the logic within a custom measurement. Set Aggregation to AVG.
D. Populate the logic within a custom measurement. Set Aggregation to SUM.
Answer: A
Explanation: CPC (Cost per Click) is a calculated metric that should be created using a
custom measurement based on the formula provided (Cost / Clicks). This calculation does
not require a change in the aggregation setting because it is derived from other base
metrics that are already aggregated appropriately. In Salesforce Marketing Cloud
Intelligence, custom measurements are used to create new metrics from existing data
points, and the system will use the underlying data's aggregation to perform the calculation.
References: Salesforce Marketing Cloud Intelligence documentation on creating custom
measurements and calculated metrics.
Show Answer
Question # 4
Aclient's data consists of three data streams as follows:* The data streams should be linked together through a parent-child relationship.
* Out of the three data streams, Data Stream C is considered the source of truth for both
the dimensions and measurements.
Which data stream should be set as a parent?
A. Data Stream A
B. Data Stream C
C. Any of the data streams can technically be the parent
D. Data Stream B
Answer: B
Explanation: Since Data Stream C is considered the source of truth for both dimensions
and measurements, it should be set as the parent data stream. This is because the parent
data stream is used as the primary source for hierarchical and attribute data within a
parent-child relationship setup. As the source of truth, Data Stream C will provide the
foundational data upon which the other streams can be aligned and will ensure consistency
and accuracy across the linked data
Show Answer
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 Interest stage?
A. 1
B. 3
C. 2
D. 0
Answer: D
Explanation: Since the pivot table is filtered on January 11th and the provided Opportunity
file does not show any records dated January 11th, there are zero opportunities in the
Interest stage for that date. Salesforce Marketing Cloud Intelligence allows users to create
pivot tables and filter data basedon specific criteria, such as dates. In this case, the filter
would exclude all rows that do not match the specified date, resulting in a count of zero for
the Interest stage. This would apply to any stage since there are no records for January
11th. Reference can be made to Salesforce Marketing Cloud Intelligence documentation on filtering and pivot tables.
Show Answer
Question # 6
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 assume that the file is mapped in the OPPORTUNITIES
Data Stream type with the following mapping:
“Day” — “Created Date”
“Opportunity Key” + Opportunity Key
“Opportunity Stage” — Opportunity Stage
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‘opportunitiesin the Confirmed Interest
stage?
A. 2
B. 1
C. 3
D. 0
Answer: D
Explanation: pivot table is filtered on January 11th, we refer to the Opportunity file and see
that there are no records for January 11th. Thus, there would be zero opportunities in the
Confirmed Interest stage on that date. The Salesforce Marketing Cloud Intelligence's pivot
table feature allows for the display of counts of entities based on the filtered criteria, which
in this scenario would show zero since no records exist for the filtered date. Reference:
Salesforce Marketing Cloud Intelligence documentation on pivot table functionalities.
Show Answer
Question # 7
Your client has provided sample files of their data from the following data sources:
Google Campaign Manager
Below are the requirements from the client and additional information:
* The sources are linked to each other by shared Media Buy names.
* In addition to the mutual Media Buys, the sources contain campaign and site values.
However, the client would like to see the campaign/site values coming from Google CM
and not from Google DV360.
* The source of truth for cost is Google DV360
Which action(s) are needed to take place in order to meet the client’s requirement and set
Google DV360 as the source of truth for Cost?
A. Unmap ‘Cost' in Google DV360
B. Set ‘Inherit Attributes and Hierarchies’ as the Data updates Permissions for Google
DV360
C. Set Update Attributes and Hierarchies’ as the Data updates Permissions for Google
DV360
D. Unmap ‘Cost’ in Google Campaign Manager
Answer: D
Explanation: To set Google DV360 as the source of truth for cost:
The cost data from Google DV360 should be prioritized, which means ensuring
that the 'Cost' field in Google Campaign Manager is not mapped or is mapped with
less priority compared to Google DV360.
Given that DV360 is to be the source of truth, you do not want competing cost data
from Campaign Manager. Unmapping 'Cost' in Google Campaign Manager
prevents conflicting data between the two sources and upholds the integrity of the
cost data coming from Google DV360.
Show Answer
Question # 8
An implementation engineer is requested to apply the following logic:To apply the above logic, the engineer used only the Harmonization Center, without any
mapping manipulations. What is the minimum amount of Patterns creating both ‘Platform’
and ‘Line of Business’?"
A. 2
B. 3
C. 5
D. 4
Answer: B
Explanation: To create both 'Platform' and 'Line of Business' fields using Patterns in the
Harmonization Center without mapping manipulations, the engineer would need to create
separate patterns for each data source mentioned. According to the provided images:
One pattern for LinkedIn Ads, to extract the 'Campaign Name' at position 4 for the
Platform and 'Media Buy Name' at position 7 for Line of Business.
One pattern for AdRoll, to extract 'Media Buy Name' at position 3 for Platform and
at position 2 for Line of Business.
One pattern for Google Analytics, which seems not required for the Platform but
could apply if the Line of Business extraction is necessary, although it states N/A.
Hence, a minimum of 3 patterns would be necessary to create the fields required.
Show Answer
Question # 9
What is the relationship between “Media Buy Key” and “Campaign Key”?
A. Many-to-one (one Campaign Key has many Media Buy Keys)
B. Many-to-many
C. One-to-many (one Media Buy Key has many Campaign Keys)
D. One-to-one
Answer: A
Explanation: Typically, 'Campaign Key' is a unique identifier for a specific marketing
campaign, while 'Media Buy Key' refers to the purchases of advertising space associated
with that campaign. A campaign can have multiple media buys, so the relationship is manyto-
one, with many media buys (Media Buy Keys) associated with a single campaign
(Campaign Key).
Show Answer
Question # 10
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 Jan 7th - 10th. How many different stages are presented in the table?
A. 2
B. 1
C. 3
D. 0
Answer: C
Explanation: Based on the Opportunity file and considering the filter dates from January
7th to 10th, the different stages presented are 'Interest', 'Confirmed Interest', and
'Registered'. This makes a total of 3 different stages that would be presented in the pivot
table. Salesforce Marketing CloudIntelligence allows for the creation of pivot tables that can
display counts of entities across different dimensions, in this case, Opportunity Stages.
Reference to Salesforce Marketing Cloud Intelligence documentation that covers data
mapping and pivot table creation would support this conclusion.
Show Answer
Question # 11
A client has integrated data from Facebook Ads. Twitter ads, and Google ads in marketing
Cloud intelligence. For each data source, the source, the data follows a naming
convensions as … Facebook Ads Naming Convention - Campaign Name:
CampID_CampName#Market_Object#object#targetAge_TargetGender
Twitter Ads Naming Convention- Media Buy Name
MarketTargeAgeObjectiveOrderID
Google ads Naming Convention-Media Buy Name:
Buying_type_Market_Objective
The client wants to harmonize their data on the common fields between these two
platforms (i.e. Market and Objective) using the Harmonization Center. Given the above
information, which statement is correct regarding the ability to implement this request?
wet Me - Given the above information, which statement i 's Correct regarding the ability to
implement this request?
A. The clientWi-Fibe able to harmonize only Google Ads and Twitter Ads, as Facebook Ads
naming convention contains mufti delimiters.
B. it is not possible to do this, as the naming conventions are different
C. This is not possible as the naming conventions are in different fields (Campaign Name
and Placement Name)
D. The client will be able to do this and it will require building three patterns.
Answer: D
Explanation: Despite the different naming conventions, harmonization is possible using
patterns in the Harmonization Center. By extracting the 'Market' and 'Objective'
components from the naming conventions of each platform, three separate patterns would
be created to map these common fields consistently across the data from Facebook Ads,
Twitter Ads, and Google Ads.
Show Answer
Question # 12
What is the relationship between "Media Buy Key" and "Creative Key?
A. One-to-many (one Media Buy ley has many Creative Key)
B. One-to-one
C. Many-to-many
D. Many-to-one (one Creative Key has many Media Buy Keys)
Answer: A
Explanation: In Marketing Cloud Intelligence, the "Media Buy Key" is typically associated
with the purchase details of a media campaign, such as the platform, audience, and
budget. The "Creative Key" relates to the specific creative asset used within a campaign,
like an image, video, or text. A single media buy can have multiple creative variations to
test performance or to target different audiences, leading to a one-to-many relationship.
Show Answer
Question # 13
A client's data consists of three data streams as follows:
A. Option #1 & Option #4
B. Option #1 & Option #3
C. Option #2 & Option #3
D. Option #2 & Option #4
Answer: D
Explanation:
Option #2: It suggests using the 'SUM' function to aggregate the 'Site Revenue' for
each 'Site Key'. This is necessary to ensure that when aggregated by date, 'Site
Revenue' should return the total sum of the highest revenue for all sites.
Option #4: It indicates changing the Aggregation Function of Revenue to 'MAX'
within Data Stream C. This ensures that for a given 'Site Key', the highest revenue
value is selected, which is correct for individual site revenue determination.
Combining Option #2 and Option #4 will provide the desired result:
For an individual 'Site Key', it will give the highest revenue (using MAX aggregation
in Option #4).
When aggregating by date across all 'Site Key's, it will sum the highest revenues
(using the SUM function in Option #2).
Show Answer
Question # 14
Which three statements describe Overarching Entities? 03m 23s
A. Once the data streams in which Custom Classification values were mapped are deleted,
their data is deleted.
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. When needed, these entities can act as a main entity, replacing the original one.
D. These are mappable dimensions that are present in each and every dataset type
E. The values of these entities are stored at the workspace level, rather than the data
stream level
Answer: B,C,E
Explanation: Overarching Entities in Salesforce Marketing Cloud Intelligence are designed
to provide a high level of data organization that spans across multiple data streams. The
key points about Overarching Entities are:
B. Relationship Types: Overarching entities can have either a Many-to-Many or
One-to-Many relationship with the main entity, which allows for flexible data
modeling and relationship definitions based on the nature of the data and how it
should be analyzed and reported.
C. Acting as Main Entity: They can serve as a main entity in certain situations,
enabling a shift in perspective for data analysis. This can be particularly useful
when there is a need to view data from a different dimension that is more aligned
with business requirements.
E. Storage Level: The values of these entities are not tied to any single data
stream but are maintained at a workspace level, ensuring that they can be applied
consistently across different datasets, which is critical for maintaining data integrity
and ensuring that classifications are applied uniformly.
Show Answer
Question # 15
Client has provided sample flies of their data from the following data sources:
Google Campaign Manager
Please note:
• All other measurements were mapped as well to the appropriate fields.
• No other mapping manipulations or formulas were implemented.
How many records will the merged table hold?
A. 4
B. 8
C. 3
D. Depends on the Data Updates Permissions
Answer: A
Explanation: Since the data sources are linked by shared Media Buy names and all other
measurements are mapped to appropriate fields without additional manipulations, each
unique Media Buy Name from Google DV360 will pair with its corresponding Media Buy
Name in Google Campaign Manager. The number of records in the merged table will equal
the number of unique Media Buy Names in Google DV360, provided there is a matching
name in Google Campaign Manager. The sample shows 4 unique Media Buy Names in
Google DV360, thus resulting in 4 records.
Show Answer
Question # 16
Which three statements accurately describe the different data stream types in Marketing
Cloud intelligence?
A. Every data stream type includes the Medio Buy entity
B. All data stream types consist of at least one entity
C. All data stream types share at least one mutual measurement
D. Each data stream type has Its own main entity
E. Each data stream type has its own set of measurements
Answer: B,D,E
Explanation: In Marketing Cloud Intelligence, data stream types are templates that define
how data should be structured within the system. Each data stream type:
B.Includes at least one entity, which is a fundamental component of the data
stream and represents a collection of related data points.
D.Has its own main entity, which is the primary focus of that particular data stream
type and serves as the central point of reference for the associated data.
E.Contains its own unique set of measurements that are specific to the type of
data being captured within that stream. These measurements represent
quantitative data that can be analyzed within the context of the main entity and
other dimensions present in the data stream.
A is incorrect because not every data stream type includes the Media Buy entity—this is
specific to certain types of advertising data streams. C is incorrect because not all data
stream types share at least one mutual measurement; measurements are typically unique
to the data stream's focus and purpose.
Show Answer
Question # 17
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.
Answer: C
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.
Show Answer
Question # 18
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
B. 0
C. 3
D. 4
Answer: D
Explanation: With the uploaded file mapped as a Generic Data Stream type, the unique
identifier for a row is the combination of 'Day', 'web_site_key', 'web_site_name',
and'Web_site_source'. As 'Day' is mapped to 'Day', 'web_site_key' to 'Main Generic Entity
Key', 'web_site_name' to 'Main Generic Entity Name', and 'Web_site_source' to 'Main
Generic Entity Attribute 01', each unique combination of these fields will constitute a
separate row.
The provided file has 4 unique combinations of 'Day', 'web_site_key', 'web_site_name', and
'Web_site_source', as each line has a unique 'web_site_key' and 'web_site_name'.
Consequently, Marketing Cloud Intelligence will store 4 rows, one for each unique
combination.
Show Answer
Leave a comment
Your email address will not be published. Required fields are marked *