Which two statements are correct regarding LiteConnect?

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?

Your client would like to create a new harmonization field - Exam Topic.

The below table represents the harmonization logic from each source.

As can be seen from the table there are in fact two fields that hold a certain connection: Exam ID and Exam Topic. The connection indicates that where an Exam ID is found -a single Exam Topic value is associated with it.

The Client has a requirement to be able to view measurements from all data sources sliced by Exam Topic values as seen in the following example:

Which harmonization feature should an Implementation engineer use to meet the client's requirement?

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 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?

Which Marketing Cloud Intelligence field is considered an attribute and not a “variable”?

An implementation engineer has been provided with 4 different source files: 03m 48s

1. Twitter Ads ~

2. Creative Classification

3. Placement Classification

4, Campaign Category Classification

The main source is Twitter Ads (which includes various fields and KPIs), and the rest are classification files that connect to Twitter Ads and enrich different fields within it.

The connections between the files are described as follows:

1st Party Creative Classification

File structure/headers:

Creative ID — links back to Creative Key (Twitter Ads)

1st Party Placement Classification by

File structure/headers:

A)

B)

C)

D)

What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?

Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence’s data model?

Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence’s data model?

The following file was uploaded into Marketing Cloud Intelligence as a generic dataset type:

The mapping is as follows:

Day — Day

Web_site_source — Main Generic Entity Attribute 01

Page Views — Generic Metric 1

*Note that ‘web_site_key’ and ‘web_site_name’ are NOT mapped.

How many rows will be stored in Marketing Cloud Intelligence after the above file is ingested?

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?

Which option will yield the desired result:?

A client created a new KPI: CPS (Cost per Sign-up).

The new KIP is mapped within the data stream mapping, and is populated with the following logic: (Media Cost) / Sign-ups)

As can be seen in the table below, CPS was created twice and was set with two different aggregations:

From looking at the table, what are the aggregation settings for each one of the newly created KPIs?

A)

B)

C)

D)

An implementation engineer is requested to create the harmonization field - Magician

This field should come from multiple Twitter Ads data streams, and should follow the below logic:

Using the Harmonization Center, the engineer created a single Pattern for Campaign Name. What other action should the engineer take to meet the requirements?

Which three statements accurately describe the different data stream types in Marketing Cloud intelligence?

A 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.

What three advantages are gained when using Patterns & Data Classification as the harmonization method for creating the Objective field?