MARKETING-CLOUD-INTELLIGENCE LEARNING MODE | MARKETING-CLOUD-INTELLIGENCE DUMP COLLECTION

Marketing-Cloud-Intelligence Learning Mode | Marketing-Cloud-Intelligence Dump Collection

Marketing-Cloud-Intelligence Learning Mode | Marketing-Cloud-Intelligence Dump Collection

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Tags: Marketing-Cloud-Intelligence Learning Mode, Marketing-Cloud-Intelligence Dump Collection, Marketing-Cloud-Intelligence Exam Question, Marketing-Cloud-Intelligence Valid Test Sample, Marketing-Cloud-Intelligence Exam Syllabus

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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
  • 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 3
  • Harmonization Center (Patterns
  • Data Classification
  • Validation): Salesforce marketing professionals will learn about the Harmonization Center’s capabilities, including classification rules, validation lists, patterns, and harmonized dimensions to ensure data reliability.
Topic 4
  • 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 5
  • Design Feasibility: This area evaluates the ability to identify valid and invalid solutions from solution design diagrams, ensuring effective and scalable platform designs.
Topic 6
  • Calculated Dimensions & Measurements: This section measures skills in using calculated objects, recognizing aggregation types, and employing these tools for tailored marketing analytics.
Topic 7
  • 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 8
  • Data Model: In this domain, marketing professionals will explore data model entities, their relationships, and attributes within Marketing Cloud Intelligence.

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Marketing-Cloud-Intelligence Dump Collection - Marketing-Cloud-Intelligence Exam Question

Preparing for the Marketing Cloud Intelligence Accredited Professional Exam (Marketing-Cloud-Intelligence) test can be challenging, especially when you are busy with other responsibilities. Candidates who don't use Marketing-Cloud-Intelligence dumps fail in the Marketing-Cloud-Intelligence examination and waste their resources. Using updated and valid Marketing-Cloud-Intelligence Questions; can help you develop skills essential to achieve success in the Marketing-Cloud-Intelligence certification exam.

Salesforce Marketing Cloud Intelligence Accredited Professional Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
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.
* Data Stream C was set as a 'Parent', and the 'Override Media Buy Hierarchy' checkbox is checked What should the Data Updates Permissions be set to for Data Stream B?

  • A. Update Attributes and Hierarchies
  • B. There is no difference, all permissions will have a similar effect given the scenario.
  • C. Update Attributes
  • D. Inherit Attributes and Hierarchies

Answer: A

Explanation:
With Data Stream C set as the 'Parent' and 'Override Media Buy Hierarchy' checked:
* The appropriate setting for Data Stream B would be 'Update Attributes and Hierarchies'. This setting will ensure that the hierarchy and attributes from the parent data stream (C) are updated based on the child data stream (B) without overwriting the measurement data that the parent is the source of truth for.
* The 'Override Media Buy Hierarchy' option checked indicates that the hierarchy of the parent is to be considered as the main one, but the attributes and hierarchy can still be updated from the child data stream, which aligns with option B.


NEW QUESTION # 54
An implementation engineer has been asked to perform QA for a standard file ingestion, done by the client.
The source file that was ingested can be seen below:

The number of rows added to this data stream is 3. What could have led to this discrepancy?

  • A. All fields are mapped except for the Media Buy Name.
  • B. All fields are mapped except for the Creative Name
  • C. All fields are mapped except for the Media Buy Key.
  • D. All fields are mapped except for the Campaign Key

Answer: D

Explanation:
The source file shows data related to media buys, including a 'Media Buy Key', 'Media Buy Name', 'Campaign Key', and 'Site Key', among other fields. If only three rows were added, and the discrepancy is due to a missing field, it's likely that 'Campaign Key' is the field not mapped, because it is crucial for linking related records in the data stream. Without the 'Campaign Key', the system cannot associate the media buy data with specific campaigns, leading to a potential loss of data rows during ingestion.


NEW QUESTION # 55
A client's data consists of three data sources - Facebook Ads, LinkedIn Ads and Google Campaign Manager.
Notes:
* The client is planning on adding an additional 100 Facebook Ads data streams and 50 more LinkedIn Ads data streams.
* The final volume of data in the workspace will be 5M rows
* Each data source has a naming convention and it can be assumed that any additional profile (i.e. Data Stream) from one of these sources will follow the same naming convention.
The client provided the following sample files:
Facebook Ads:


The client would like to create a new harmonization field named "Market," which will only be coming from Facebook Ads and LinkedIn Ads. The logic for
"Market" is the following:
IF Media Buy Type is equal to "TypeB" or "TypeC" or "TypeD"
Return 'Europe'
ELSE
Return 'Rest Of The World'
In order to create the harmonization field Market, the client considers using either Mapping Formula, Calculated Dimension, VLOOKUP or Patterns.
Considering maintenance and scalability, which option is recommended?

  • A. vLookuP
  • B. Patterns
  • C. Calculated Dimension
  • D. Mapping Formulas

Answer: B

Explanation:
Patterns are the best approach in this scenario because:
Scalability: Patterns are highly scalable and can easily handle the addition of 100 more Facebook Ads and 50 more LinkedIn Ads streams. You can define pattern-matching rules that automatically apply to new data streams based on the naming conventions.
Flexibility and Maintenance: Patterns allow you to maintain and adjust logic easily. Since the logic for determining "Market" is based on a defined naming convention (e.g., Media Buy Type), Patterns can handle these rules effectively without requiring manual updates or static tables.
Efficient Harmonization: Patterns automatically classify data based on defined rules, reducing the need for ongoing manual maintenance compared to approaches like VLOOKUP or Mapping Formulas, which might require frequent updates as data changes.
Why not other options?
Mapping Formulas: While Mapping Formulas work well for static mappings, they are not as scalable or maintainable when the dataset grows or changes frequently.
Calculated Dimension: This option is valid for simple logic but is less maintainable for large-scale datasets, especially when new data streams are added.
VLOOKUP: This method is manual and not scalable. It would require you to update lookup tables for each new data stream, which is inefficient given the expected growth of the data.


NEW QUESTION # 56
Your client provided the following sources:
Source 1:

Source 2:

Source 3:

As can be seen, the Product values present in sources 2 and 3 are similar and can be linked with the first extraction from 'Media Buy Name' in source1 The end goal is to achieve a final view of Product Group alongside Clicks and Sign Ups, as described below:

Which two options will meet the client's requirement and enable the desired view?

  • A. Harmonization Center: Patterns from sources 1 and 3 generate harmonized dimension 'Product'. Data Classification rule, using source 2, is applied on top of the harmonized dimension
  • B. Overarching Entities:
    Source 1: custom classification key will be populated with the extraction of the Media Buy Name.
    Source 2: 'Product' will be mapped to Product field and 'Product Group' to Product Name.
    Source 3: 'Product' will be mapped to Product field.
  • C. Parent Child:
    All sources will be uploaded to the same data stream type - Ads. The setup is the following:
    Source 1: Media Buy Key -- Media Buy Key, extracted product value - Media Buy Attribute.
    Source 2: Product - Media Buy Key, Product Group -- Media Buy Attribute.
    Source 3: Product - Media Buy Key.
  • D. Custom Classification: 1
    Source 1: Custom Classification key will be populated with the extraction of the Media Buy Name.
    Source 2: 'Product' will be mapped to Custom Classification key and 'Product Group' to a Custom Classification level. Exam Timer Source 3: 'Product will be mapped to Custom Classification key. Came

Answer: A,D

Explanation:
To achieve a final view of Product Group alongside Clicks and Sign Ups, we should use:
Option A:
* Custom Classification: By using a Custom Classification key populated with the extraction of the Media Buy Name in Source 1, we can then map 'Product' in Source 2 to this key and 'Product Group' to a Custom Classification level. This will allow for grouping and analysis by Product Group, as well as enable the desired view to be created.
Option D:
* Harmonization Center: With patterns from Sources 1 and 3, we can create a harmonized dimension
'Product'. Then, by applying a Data Classification rule using Source 2, we can enhance the harmonized dimension. This allows us to align 'Product Group' with the 'Product' from Sources 1 and 3, facilitating an integrated view of Clicks and Sign Ups by Product Group.


NEW QUESTION # 57
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. 0
  • B. 1
  • C. Depends on the Data Updates Permissions
  • D. 2

Answer: B

Explanation:
Since the data sources are linked by shared Media Buy names and all other measurements are mapped to appropriate fields without additional manipulations, each unique Media Buy Name from Google DV360 will pair with its corresponding Media Buy Name in Google Campaign Manager. The number of records in the merged table will equal the number of unique Media Buy Names in Google DV360, provided there is a matching name in Google Campaign Manager. The sample shows 4 unique Media Buy Names in Google DV360, thus resulting in 4 records.


NEW QUESTION # 58
......

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