MARKETING-CLOUD-INTELLIGENCE VALID TEST VOUCHER & MARKETING-CLOUD-INTELLIGENCE PASS TEST

Marketing-Cloud-Intelligence Valid Test Voucher & Marketing-Cloud-Intelligence Pass Test

Marketing-Cloud-Intelligence Valid Test Voucher & Marketing-Cloud-Intelligence Pass Test

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Salesforce Marketing-Cloud-Intelligence Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • Mapping: Marketing professionals will focus on Marketing Cloud Intelligence ingestion capabilities, assessing knowledge of data mapping processes and outcomes critical to efficient data organization.
Topic 4
  • Data Integration Code Ability: This section evaluates proficiency with common Marketing Cloud Intelligence functions, enabling Salesforce marketing professionals to integrate diverse data sources effectively for comprehensive marketing intelligence.
Topic 5
  • 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.
Topic 6
  • Design Feasibility: This area evaluates the ability to identify valid and invalid solutions from solution design diagrams, ensuring effective and scalable platform designs.
Topic 7
  • Data Update Permissions: This area tests knowledge of permissions and settings related to data updates. It includes understanding parent-child setups and managing the "Source of Truth" for data accuracy.
Topic 8
  • Harmonization Best Practices: Salesforce marketing professionals will analyze harmonization methods, properties, and their advantages and disadvantages, enhancing skills for optimizing data consistency across platforms.

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Salesforce Marketing Cloud Intelligence Accredited Professional Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
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 custom metric and set aggregation to AUTO
  • B. A custom metric and set aggregation to SUM
  • C. A separate entity key
  • 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 # 31
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. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A

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.


NEW QUESTION # 32
Which two statements are correct regarding LiteConnect?

  • A. All of the dimensions mapped within a LiteConnect data stream are considered overarching entities.
  • B. Data coming from LiteConnect cannot be harmonized with the rest of the workspace data via the harmonization center at a later step.
  • C. It does not require any identification of entities, keys or any other categorization.
  • D. The dataset does not conform to the standard data model

Answer: C,D

Explanation:
LiteConnect is a feature in Salesforce Marketing Cloud Intelligence that allows users to bring external data into the platform quickly and easily. Here are the correct statements regarding LiteConnect:
* A.LiteConnect allows for a quick setup by not requiring detailed identification of entities, keys, or categorization. Users can upload files without having to conform to the standard data model, which speeds up the process of data integration.
* B.With LiteConnect, datasets are uploaded in their native format and do not conform to the standard data model of Marketing Cloud Intelligence. This means that the original structure of the dataset is maintained, and there is no need for extensive transformation or mapping upon the initial data import.
For C and D: While LiteConnect datasets might not conform to the standard data model initially, there are capabilities within Marketing Cloud Intelligence to further categorize and harmonize this data if needed.
Therefore, C is not entirely correct, and D is incorrect because harmonization can indeed occur at a later step.


NEW QUESTION # 33
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 'opportunities in the Confirmed Interest stage?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A

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.


NEW QUESTION # 34
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. Set Aggregation to SUM.
  • B. Populate the logic within a custom measurement. Set Aggregation to AVG.
  • C. Populate the logic within a custom measurement. No need to change Aggregation.
  • D. Unmap it, as Datorama will calculate it automatically.

Answer: C

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.


NEW QUESTION # 35
......

Both practice tests simulate the Salesforce Marketing-Cloud-Intelligence real exam environment and produce results of your attempts on the spot. In this way, you will be able to not only evaluate your progress but also overcome mistakes before the Marketing-Cloud-Intelligence actual examination. Windows computers support the Marketing Cloud Intelligence Accredited Professional Exam Marketing-Cloud-Intelligence desktop practice exam software. The Marketing Cloud Intelligence Accredited Professional Exam Marketing-Cloud-Intelligence web-based practice test needs an active internet connection.

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