REALISTIC MARKETING-CLOUD-INTELLIGENCE TEST DISCOUNT - 100% PASS SALESFORCE FREE MARKETING CLOUD INTELLIGENCE ACCREDITED PROFESSIONAL EXAM PRACTICE EXAMS

Realistic Marketing-Cloud-Intelligence Test Discount - 100% Pass Salesforce Free Marketing Cloud Intelligence Accredited Professional Exam Practice Exams

Realistic Marketing-Cloud-Intelligence Test Discount - 100% Pass Salesforce Free Marketing Cloud Intelligence Accredited Professional Exam Practice Exams

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Tags: Marketing-Cloud-Intelligence Test Discount, Free Marketing-Cloud-Intelligence Practice Exams, Marketing-Cloud-Intelligence Valid Exam Syllabus, Marketing-Cloud-Intelligence Relevant Questions, Marketing-Cloud-Intelligence Exam Score

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In recent years, some changes are taking place in this line about the new points are being constantly tested in the Marketing-Cloud-Intelligence real exam. So our experts highlights the new type of questions and add updates into the Marketing-Cloud-Intelligence practice materials, and look for shifts closely when them take place. At the same time, as we can see that the electronic devices are changing our life day by day, our Marketing-Cloud-Intelligence study questions are also developed to apply all kinds of eletronic devices.

Salesforce Marketing-Cloud-Intelligence Exam Syllabus Topics:

TopicDetails
Topic 1
  • Design Feasibility: This area evaluates the ability to identify valid and invalid solutions from solution design diagrams, ensuring effective and scalable platform designs.
Topic 2
  • Harmonization Center (Patterns
  • Data Classification
  • Validation): Salesforce marketing professionals will learn about the Harmonization Center’s capabilities, including classification rules, validation lists, patterns, and harmonized dimensions to ensure data reliability.
Topic 3
  • QA Ability: This section focuses on common QA steps for various scenarios, enabling Salesforce marketing professionals to ensure data quality and platform performance.
Topic 4
  • CRM: This topic tests knowledge of CRM properties and their behavior within Marketing Cloud Intelligence. This knowledge is crucial for syncing customer relationship data with marketing campaigns.
Topic 5
  • General Functionalities: In this topic, Salesforce marketing professionals will explore core functionalities of Marketing Cloud Intelligence. It measures understanding of platform features critical to data-driven marketing strategies and insights.
Topic 6
  • Harmonization Best Practices: Salesforce marketing professionals will analyze harmonization methods, properties, and their advantages and disadvantages, enhancing skills for optimizing data consistency across platforms.
Topic 7
  • Data Fusion: This topic focuses on the use cases and properties of Data Fusion, equipping marketing professionals to merge datasets effectively for comprehensive marketing insights.
Topic 8
  • Vlookup: This section evaluates proficiency of marketing professionals in Vlookup statements and their properties, ensuring accurate data referencing and streamlined data manipulation for marketing intelligence tasks.

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Experts have prepared the Marketing-Cloud-Intelligence desktop-based exam simulation software. There are Marketing-Cloud-Intelligence actual questions in the practice test to give you an exact impression of the Marketing Cloud Intelligence Accredited Professional Exam Marketing-Cloud-Intelligence original test. This type of Marketing Cloud Intelligence Accredited Professional Exam Marketing-Cloud-Intelligence actual exam simulations helps to calm your anxiety.

Salesforce Marketing Cloud Intelligence Accredited Professional Exam Sample Questions (Q61-Q66):

NEW QUESTION # 61
Your client is interested in ingested the below file to a new generic data stream type:

The field 'Meeting Code' was mapped to the main entity key. 'How should the 'Room Number' be mapped?

  • A. A separate entity key
  • B. A custom metric and set aggregation to SUM
  • C. A custom metric and set aggregation to AUTO
  • D. An attribute of 'Meeting Code'

Answer: D

Explanation:
In Marketing Cloud Intelligence, when a field is mapped to the main entity key, other related fields should be mapped as attributes of that key if they provide additional descriptors or details. Since 'Room Number' is related to 'Meeting Code', it would be an attribute of the 'Meeting Code' entity, providing additional context to the meetings without serving as a metric or a separate entity key.


NEW QUESTION # 62
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. EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
  • B. LEFT(EXTRACT(csv[campaign_name'}/-',1),3)
  • C. LEFT(EXTRACT(csy['campaign_name]],~',0),3)
  • D. EXTRACT(csv[campaign_name'],-,0)
  • E. EXTRACT(csv[campaign_name!;@',1)

Answer: E

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.


NEW QUESTION # 63
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. 0
  • B. 1
  • C. 2
  • D. 3

Answer: B

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 based on 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.


NEW QUESTION # 64
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. 0
  • B. 1
  • C. 2
  • D. 3

Answer: C

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.


NEW QUESTION # 65
After uploading a standard file into Marketing Cloud intelligence via totalConnect, 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 thisgap?

  • A. Main entity is not mapped
  • B. All mapped Measurements for a given row have values equal to zero
  • C. The file does not contain any measurements (dimension only)
  • D. The source file does not contain the mediaBuy entity

Answer: A,B

Explanation:
In Marketing Cloud Intelligence, discrepancies between the number of rows uploaded and the number of rows present in the source file can be caused by several factors. If all mapped measurements for a row are zero, that row may be excluded from the upload, as it does not contribute to the analytics. Additionally, if the main entity, which acts as the primary identifier for records, is not mapped, the system cannot correctly ingest the data as it lacks the necessary reference to organize and store the information.


NEW QUESTION # 66
......

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