Which three statements describe Overarching Entities? 03m 23s

Some overarching entities hold a Many-to-Many relationship with the main entity, and others hold a One-to-Many relationship with it.

When needed, these entities can act as a main entity, replacing the original one.

The values of these entities are stored at the workspace level, rather than the data stream level

Once the data streams in which Custom Classification values were mapped are deleted, their data is deleted.

Some overarching entities hold a Many-to-Many relationship with the main entity, and others hold a One-to-Many relationship with it.

When needed, these entities can act as a main entity, replacing the original one.

These are mappable dimensions that are present in each and every dataset type

The values of these entities are stored at the workspace level, rather than the data stream level

Which two statements are correct regarding LiteConnect?

The dataset does not conform to the standard data model

Data coming from LiteConnect cannot be harmonized with the rest of the workspace data via the harmonization center at a later step.

It does not require any identification of entities, keys or any other categorization.

The dataset does not conform to the standard data model

All of the dimensions mapped within a LiteConnect data stream are considered overarching entities.

Data coming from LiteConnect cannot be harmonized with the rest of the workspace data via the harmonization center at a later step.

Your client has provided sample files 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 DV360Which action(s) are needed to take place in order to meet the client's requirement and set Google DV360 as the source of truth for Cost?

Set Update Attributes and Hierarchies' as the Data updates Permissions for Google DV360

Set 'Inherit Attributes and Hierarchies' as the Data updates Permissions for Google DV360

Set Update Attributes and Hierarchies' as the Data updates Permissions for Google DV360

Unmap 'Cost' in Google Campaign Manager

What is the relationship between 'Media Buy Key' and 'Creative Key?

One-to-many (one Media Buy ley has many Creative Key)

Many-to-one (one Creative Key has many Media Buy Keys)

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

Variable Dimensions hold a Many-to-Many relationship with its main entity

These are stand alone dimensions that pertain to the data set itself rather than to a specific entity

These dimensions are stored at the workspace level

Variable Dimensions hold a Many-to-Many relationship with its main entity

All variables exist in every data set type, hence are considered as overarching dimensions

These are stand alone dimensions that pertain to the data set itself rather than to a specific entity

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?

Two separate patterns (filtered by Linkedln or AdRoll sources). Another single pattern for Web Analytics Site Source (filtered by Google Analytics source), extracting all three positions A total of 3 patterns.

Two separate patterns (filtered by Linkedin or AdRoll sources) Within Google Analytics' mapping A formula that reflects the logic above will be populated within a Web Analytics Site custom attribute Another pattern to be created for the newly Web Analytics Site custom attribute (filtered by Google Analytics source). A total of 3 patterns.

Two separate patterns (filtered by Linkedin or AdRoll sources) Within Google Analytics' mapping: A formula that reflects the logic above will be populated within a Campaign custom attribute. Another pattern to be created for the newly campaign attribute (filtered by Google Analytics source). A total of 3 patterns

Two separate patterns (filtered by Linkedin or AdRoll sources). Another single pattern for Campaign Name (filtered by Google Analytics source). A total of 3 patterns.

Two separate patterns (filtered by Linkedln or AdRoll sources). Another single pattern for Web Analytics Site Source (filtered by Google Analytics source), extracting all three positions A total of 3 patterns.

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?

The join can be successful even if 'empjd' isn't mapped and employee.name' is mapped to the same entity name in both data streams

Any one of the files can potentially be set as the Parent data stream

The two files cannot be Joined as they hold different measurements

The two files cannot be joined as they hold different dates

The join can be successful even if 'empjd' isn't mapped and employee.name' is mapped to the same entity name in both data streams

Any one of the files can potentially be set as the Parent data stream

The two files were uploaded to a different Generic type

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_TargetGenderTwitter Ads Naming Convention- Media Buy NameMarketTargeAgeObjectiveOrderIDGoogle ads Naming Convention-Media Buy Name:Buying_type_Market_ObjectiveThe 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?

The client will be able to do this and it will require building three patterns.

The client Wi-Fi be able to harmonize only Google Ads and Twitter Ads, as Facebook Ads naming convention contains mufti delimiters.

it is not possible to do this, as the naming conventions are different

This is not possible as the naming conventions are in different fields (Campaign Name and Placement Name)

The client will be able to do this and it will require building three patterns.

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?

Depends on the Data Updates Permissions

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

When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.

The data is stored at the workspace level.

When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.

Pacing - daily rows are being created for every lead and opportunity keys

No mappable measurements - all measurements are calculated

The data is stored at the workspace level.

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 2A 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?

Confirmed Interest & Registered

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. Which three advantages does a client gain from using Calculated Dimensions as the harmonization method for creating the Objective field?

Scalability - future data streams that will follow similar logic will be automatically harmonized.

Ease of Maintenance - the logic is written and populated in one centralized place

Performance (Performance when loading a dashboard page) should be optimized as the values of calculated dimensions are stored within the database.

Scalability - future data streams that will follow similar logic will be automatically harmonized.

Data model restrictions - Calculated Dimensions do not need to adhere to Marketing Cloud Intelligence's data model

Processing - creation of Calculated Dimensions will ease the processing time of the data streams it relates to

Ease of Maintenance - the logic is written and populated in one centralized place

Performance (Performance when loading a dashboard page) should be optimized as the values of calculated dimensions are stored within the database.

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

Data Stream A:

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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.

The client would like to have a 'Site Revenue' measurement.

This measurement should return the highest revenue value per Site, for example:

For Site Key 'SK_C_2', the 'Site Revenue' should be $7.00.

When aggregated by date, the 'Site Revenue' measurement should return the total sum of the results of all sites.

For example:

For the date 1 Apr 2020, 'Site Revenue' should be $11.00 (sum of Site Revenue for Site Keys 'SK_C_1' ($4.00) and 'SK_C_2' ($7.00))

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Which options will yield the desired result;

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Certified Marketing Cloud Intelligence Accredited Professional: Salesforce Certified Marketing Cloud Intelligence Accredited Professional

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Last Updated

April - 2025

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English

Salesforce Certified Marketing Cloud Intelligence Accredited Professional Practice Tests

Practice Test 1
1 - 40

Practice Test 2
41 - 61