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Marketing-Cloud-Intelligence Practice Questions

Question # 1
Your client would like to create a new harmonization field - Exam Topic. The below table represents the harmonization logic from each source.



Which harmonization feature should an Implementation engineer use to meet the client's requirement?
A. Transformers
B. Parent Chile
C. Fusion
D. Custom Classification
E. Calculated dimensions


D. Custom Classification

Explanation: To meet the client's requirement of slicing measurements by 'Exam Topic' values, an Implementation Engineer should use Custom Classification. This feature allows different Exam IDs to be classified into their respective Exam Topics, ensuring that data from all sources can be accurately harmonized and analyzed based on these topics.

Question # 2
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.



When harmonizing the Objective field from within the data stream mapping, which advantage is gained?
A. Scalability
B. Ease of Setup
C. Performance (Performance when loading a dashboard page)
D. Ease of Maintenance


D. Ease of Maintenance

Explanation: By harmonizing the Objective field within data stream mapping, an organization can benefit from:
Ease of Maintenance: Harmonization allows for consistent naming conventions across different data sources and streams. This means when business logic or naming conventions change, updates can be made in one place and consistently applied across all data streams. It also reduces the complexity of managing multiple streams and ensures data consistency, which is vital for accurate reporting and analysis.

Question # 3
A client's data consists of three data streams as follows: Data Stream A:



* 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.
How should the "Override Media Buy Hierarchies” checkbox be set in order to meet the client's requirements?
A. It should be checked in Data Stream C
B. It should not be checked in any of the three Data Streams.
C. It should be checked in Data Stream B
D. It should be checked in Data Stream A


A. It should be checked in Data Stream C

Explanation: If Data Stream C is the source of truth, the "Override Media Buy Hierarchies" checkbox should be checked for Data Stream C. This means that the hierarchy defined within Data Stream C will take precedence over any other media buy hierarchies present in Data Streams A or B. By doing so, it enforces that the hierarchy from the source of truth (Data Stream C) is used throughout the dataset, maintaining the integrity of the hierarchical relationships as defined by the most reliable data source.

Question # 4
A client wants to integrate their data within Marketing Cloud Intelligence to optimize their marketing insights and cross-channel marketing activityanalysis. 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?
A. Ease of Maintenance
B. Performance (Performance when loading a dashboard page)
C. Use of code
D. Scalability
E. Processing (processing time when loading relevant data streams)


A. Ease of Maintenance
B. Performance (Performance when loading a dashboard page)
D. Scalability

Explanation: Patterns & Data Classification in Marketing Cloud Intelligence offer several advantages. These include:
Ease of Maintenance (A):Patterns allow for the standardization of data harmonization processes. Once set up, they can be easily maintained and adjusted as needed, without having to manipulate each data stream individually. Performance (B):By using patterns, data is classified and standardized at ingestion, which can improve the performance of dashboard page loading because the system does not need to perform complex, on-the-fly calculations or transformations.
Scalability (D):Patterns can be applied across multiple data streams consistently, allowing them to scale with the data. This means that as the amount of data grows or as new data sources are added, the same patterns can be reused, ensuring that the data remains harmonized.
Reference: Information is based on general knowledge of marketing data harmonization and standard practices as patterns and classification rules are common features in data platforms, extrapolated to fit the context of Salesforce Marketing Cloud Intelligence.

Question # 5
A client's data consists of three data streams as follows:

Data Stream A:

<

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))



Which options will yield the desired result;
A. Option #1 & Option #4
B. Option #1 & Option #3
C. Option #2 & Option #3
D. Option #2 & Option #4


D. Option #2 & Option #4

Explanation:
Option #2: It suggests using the 'SUM' function to aggregate the 'Site Revenue' for each 'Site Key'. This is necessary to ensure that when aggregated by date, 'Site Revenue' should return the total sum of the highest revenue for all sites.
Option #4: It indicates changing the Aggregation Function of Revenue to 'MAX' within Data Stream C. This ensures that for a given 'Site Key', the highest revenue value is selected, which is correct for individual site revenue determination.
Combining Option #2 and Option #4 will provide the desired result:
For an individual 'Site Key', it will give the highest revenue (using MAX aggregation in Option #4). When aggregating by date across all 'Site Key's, it will sum the highest revenues (using the SUM function in Option #2).

Question # 6
Which Marketing Cloud Intelligence field is considered an attribute and not a “variable”?
A. Campaign Category
B. Device Category
C. Device Browser
D. Geo Location


B. Device Category

Explanation: In Marketing Cloud Intelligence, attributes refer to characteristics of the data that describe the environment or context but do not change within the scope of the data being analyzed. 'Device Category' is typically an attribute as it describes a characteristic of the device used and doesn't vary within a given session or user interaction. In contrast, variables are typically metrics or dimensions that can change value or be measured.

Question # 7
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. 3
B. 1
C. 0
D. 2


C. 0

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.

Question # 8
Animplementation engineer has been provided with 4 different source files: 03m 16s

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:



Category — links back to Campaign Category (Twitter Ads)
Which proposed solution meets the client's requirements for the above use case?

A. Option A
B. Option B
C. Option C
D. Option D


A. Option A

Explanation: For the given use case, where the Twitter Ads data stream needs to be enriched with classifications from three other sources, the correct implementation would involve creating links between the various fields across these files.
Option A is correct because it shows the correct usage of the fields from the classification files: "Creative ID" in the Creative Classification file is linked to the "Creative Key" in the Twitter Ads data, allowing for enrichment with creative details.
"Placement ID" in the Placement Classification file is linked to a corresponding field in the Twitter Ads data, allowing for placement details to be added. "Category" in the Campaign Category Classification file is linked back to "Campaign Category" in the Twitter Ads data, thus enriching the campaign data with the correct categories.
This configuration correctly uses VLOOKUP to enrich the Twitter Ads data stream with additional details from the classification files, aligning with best practices for data integration and enrichment in Marketing Cloud Intelligence.

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Salesforce Marketing-Cloud-Intelligence Exam Dumps

Exam Name: Marketing Cloud Intelligence Accredited Professional
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