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

A client's data consists of three data streams as follows:

1. The data streams should be linked together through a parent-child relationship.
2. 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 AAn 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?
A. Populate the logic within a custom measurement. No need to change Aggregation.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. 2A client wants to integrate their data within Marketing Cloud Intelligence to optimize their marketing insights and cross-channel marketing activity analysis. Below are details regarding the different data sources and the number of data streams required for each source.

When harmonizing the Objective field from within the data stream mapping, which advantage is gained?
A. ScalabilitySource 3:

Via the harmonization Center, the Client has created Patterns and applied a classification rule using source 2. While performing QA, you have spotted that the final value of clicks for Product Group Ais 10, where it should've been i5.

How can an implementation engineer fix this discrepancy?
A. Uncheck the "Case Sensitive" checkbox in the data classificationA client has integrated data from Facebook Ads, Twitter Ads, and Google Ads in Marketing Cloud Intelligence. For each data source, the data
follows a naming convention as shown below:
Facebook Ads Naming Convention - Campaign Name:
Camp|D_CampName#Market_Objective#TargetAge_TargetGender
Twitter Ads Naming Convention - Media Buy Name:
Market|TargetAge|Objective|OrderID
' 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. In addition to the previous details, the client provides the following data sample:

Logic specification:
If a value is not present in the Validation List, return "Not Valid"
If a value is not present in the Classification File, return "Unclassified".
If the Harmonization center is used to harmonize the above data and files, what table will show the final output?

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.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. Interest and RegisteredWhich two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?
A. These dimensions are stored at the workspace levelNowadays, the certification exams become more and more important and required by more and more enterprises when applying for a job. But how to prepare for the exam effectively? How to prepare for the exam in a short time with less efforts? How to get a ideal result and how to find the most reliable resources? Here on Vcedump.com, you will find all the answers. Vcedump.com provide not only Salesforce exam questions, answers and explanations but also complete assistance on your exam preparation and certification application. If you are confused on your MARKETING-CLOUD-INTELLIGENCE exam preparations and Salesforce certification application, do not hesitate to visit our Vcedump.com to find your solutions here.