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Certified Marketing Cloud Intelligence Accredited Professional: Salesforce Certified Marketing Cloud Intelligence Accredited Professional
Salesforce
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The Certified Marketing Cloud Intelligence Accredited Professional exam is a crucial step for anyone looking to master Salesforce Marketing Cloud Intelligence. To increase your chances of success, practicing with real exam questions shared by those who have already passed can be incredibly helpful. In this guide, we’ll provide practice test questions and answers, offering insights directly from successful candidates.
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- Real Exam Experience: Our practice tests accurately mirror the format and difficulty of the actual Certified Marketing Cloud Intelligence Accredited Professional exam, providing you with a realistic preparation experience.
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Key Features of Certified Marketing Cloud Intelligence Accredited Professional Practice Test
- Up-to-Date Content: Our community regularly updates the questions to reflect the latest exam objectives and technology trends.
- Detailed Explanations: Each question comes with detailed explanations, helping you understand the correct answers and learn from any mistakes.
- Comprehensive Coverage: The practice tests cover all key topics of the Certified Marketing Cloud Intelligence Accredited Professional exam, including data integration, analytics, and reporting.
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Exam Details
- Exam Number: Marketing Cloud Intelligence
- Exam Name: Certified Marketing Cloud Intelligence Accredited Professional
- Length of Test: 90 minutes
- Exam Format: Multiple-choice and scenario-based questions
- Exam Language: English
- Number of Questions in the Actual Exam: 60 questions
- Passing Score: 70%
Use the member-shared Certified Marketing Cloud Intelligence Accredited Professional Practice Tests to ensure you're fully prepared for your certification exam. Start practicing today and take a significant step towards achieving your certification goals!
Related questions
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:
Salesforce Marketing Cloud:
The client's objective is to visualize the mutual key values alongside measurements from both files in a table.
In order to achieve this, what steps should be taken?
An Implementation engineer is requested to create a new harmonization field 'Offer' and apply the following logic:
The implementation engineer to use the Harmonization Center. Which of the below actions can help implement the new dimension 'Offer?
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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?
Client has provided sample flies 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.
As a first step, a Parent-Child relationship was created between the two files, and the following mapping was performed, within both data streams:
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 client'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 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?
An implementation engineer has been asked to perform QA for a standard file ingestion, done by the client.
The source file that was ingested can be seen below:
The number of rows added to this data stream is 3. What could have led to this discrepancy?
Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?
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?
An implementation engineer is requested to integrate 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 Assignmed') alongside'Employee Name' and/or 'Squard'.
A Parent-Child configuration was set between the two.
Which two statements are correct?
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