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최신Marketing-Cloud-Intelligence최신덤프문제덤프자료

그리고 DumpTOP Marketing-Cloud-Intelligence 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1jTaXDTFSfRRMEDQdNviG_LTnMLtkOZjT

Salesforce인증Marketing-Cloud-Intelligence시험덤프의 문제와 답은 모두 우리의 엘리트들이 자신의 지식과 몇 년간의 경험으로 완벽하게 만들어낸 최고의 문제집입니다. 전문적으로Salesforce인증Marketing-Cloud-Intelligence시험을 응시하는 분들을 위하여 만들었습니다. 여러분이 다른 사이트에서도Salesforce인증Marketing-Cloud-Intelligence시험 관련덤프자료를 보셨을 것입니다 하지만 우리DumpTOP의 자료만의 최고의 전문가들이 만들어낸 제일 전면적이고 또 최신 업데이트일 것입니다.Salesforce인증Marketing-Cloud-Intelligence시험을 응시하고 싶으시다면 DumpTOP자료만의 최고의 선택입니다.

제일 빠른 시일내에 제일 간단한 방법으로Salesforce인증 Marketing-Cloud-Intelligence시험을 패스하는 방법이 없냐구요? DumpTOP의Salesforce인증 Marketing-Cloud-Intelligence덤프를 공부하시면 가능합니다. DumpTOP의Salesforce인증 Marketing-Cloud-Intelligence덤프는 많은 분들이 검증한 가장 유력한Salesforce인증 Marketing-Cloud-Intelligence시험공부자료입니다. 덤프의 문제만 기억하시면 패스는 문제없기에 제일 빠른 시일내에 시험을 패스하여 자격증 취득이 가능합니다.

>> Marketing-Cloud-Intelligence최신덤프문제 <<

Marketing-Cloud-Intelligence유효한 최신버전 덤프, Marketing-Cloud-Intelligence시험대비자료

DumpTOP는 오래된 IT인증시험덤프를 제공해드리는 전문적인 사이트입니다. DumpTOP의 Salesforce인증 Marketing-Cloud-Intelligence덤프는 업계에서 널리 알려진 최고품질의Salesforce인증 Marketing-Cloud-Intelligence시험대비자료입니다. Salesforce인증 Marketing-Cloud-Intelligence덤프는 최신 시험문제의 시험범위를 커버하고 최신 시험문제유형을 포함하고 있어 시험패스율이 거의 100%입니다. DumpTOP의Salesforce인증 Marketing-Cloud-Intelligence덤프를 구매하시면 밝은 미래가 보입니다.

Salesforce Marketing-Cloud-Intelligence 시험요강:

주제
소개

주제 1

General Functionalities: In this topic, Salesforce marketing professionals will explore core functionalities of Marketing Cloud Intelligence. It measures understanding of platform features critical to data-driven marketing strategies and insights.

주제 2

Mapping: Marketing professionals will focus on Marketing Cloud Intelligence ingestion capabilities, assessing knowledge of data mapping processes and outcomes critical to efficient data organization.

주제 3

Overarching Entities: Salesforce marketing professionals will deepen their understanding of overarching entities, their use cases, and application, crucial for strategic data organization and analysis.

주제 4

Data Integration Code Ability: This section evaluates proficiency with common Marketing Cloud Intelligence functions, enabling Salesforce marketing professionals to integrate diverse data sources effectively for comprehensive marketing intelligence.

주제 5

QA Ability: This section focuses on common QA steps for various scenarios, enabling Salesforce marketing professionals to ensure data quality and platform performance.

주제 6

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.

주제 7

CRM: This topic tests knowledge of CRM properties and their behavior within Marketing Cloud Intelligence. This knowledge is crucial for syncing customer relationship data with marketing campaigns.

주제 8

Harmonization Best Practices: Salesforce marketing professionals will analyze harmonization methods, properties, and their advantages and disadvantages, enhancing skills for optimizing data consistency across platforms.

주제 9

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.

주제 10

Design Feasibility: This area evaluates the ability to identify valid and invalid solutions from solution design diagrams, ensuring effective and scalable platform designs.

최신 Accredited Professional Certification Marketing-Cloud-Intelligence 무료샘플문제 (Q34-Q39):

질문 # 34
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. Confirmed Interest & Registered
B. interest
C. Confirmed interest
D. Interest & Registered

정답：D

설명：
Filtering the pivot table on January 7th-11th, we see that the Opportunity Key 123AA01 appears on January 6th with the stage 'Interest' and then on January 10th with the stage 'Registered'. Even though the 'Interest' stage is not within the filtered dates, it is the initial stage of the opportunity, so it should be counted along with the 'Registered' stage which falls within the filter range.

질문 # 35
A client Ingested the following We into Marketing Cloud Intelligence:

The mapping of the above file can be seen below:
Date - Day
Media Buy Key - Media Buy Key
Campaign Name - Campaign Name
Campaign Group -. Campaign Custom Attribute 01
Clicks -> Clicks
Media Cost -> Media Cost
Campaign Planned Clicks -> Delivery Custom Metric 01
The client would like to have a "Campaign Planned Clicks" measurement.
This measurement should return the "Campaign Planned Clicks" value per Campaign, for example:
For Campaign Name 'Campaign AAA", the "Campaign Planned Clicks" should be 2000, rather than 6000 (the total sum by the number of Media Buy keys).
In order to create this measurement, the client considered multiple approaches. Please review the different approaches and answer the following question:

Which two options will yield a false result:

A. Option 5
B. Option 4
C. Option 3
D. Option 1
E. Option 2

정답：A,D

설명：
The goal is to obtain a "Campaign Planned Clicks" value per Campaign, not accumulated by Media Buy keys.
Option 1 (SUM aggregation function) would sum all the "Campaign Planned Clicks" across Media Buy keys which would not yield the unique value per Campaign. Similarly, Option 5 (AVG aggregation function at Campaign Key level) would incorrectly average the values. Both options do not provide a way to return a singular "Campaign Planned Clicks" value for each Campaign.

질문 # 36
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. There is no difference, all permissions will have a similar effect given the scenario.
B. Update Attributes and Hierarchies
C. Update Attributes
D. Inherit Attributes and Hierarchies

정답：B

설명：
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.

질문 # 37
An implementation 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:

Creative ID - links back to Creative Key (Twitter Ads)
1st Party Placement 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?

정답：B

설명：
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.

질문 # 38
Which Marketing Cloud Intelligence field is considered an attribute and not a "variable"?

A. Device Browser
B. Campaign Category
C. Device Category
D. Geo Location

정답：C

설명：
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.

질문 # 39
......

DumpTOP는 응시자에게 있어서 시간이 정말 소중하다는 것을 잘 알고 있으므로 Salesforce Marketing-Cloud-Intelligence덤프를 자주 업데이트 하고, 오래 되고 더 이상 사용 하지 않는 문제들은 바로 삭제해버리며 새로운 최신 문제들을 추가 합니다. 이는 응시자가 확실하고도 빠르게Salesforce Marketing-Cloud-Intelligence덤프를 마스터하고Salesforce Marketing-Cloud-Intelligence시험을 패스할수 있도록 하는 또 하나의 보장입니다.

Marketing-Cloud-Intelligence유효한 최신버전 덤프: https://www.dumptop.com/Salesforce/Marketing-Cloud-Intelligence-dump.html

참고: DumpTOP에서 Google Drive로 공유하는 무료 2025 Salesforce Marketing-Cloud-Intelligence 시험 문제집이 있습니다: https://drive.google.com/open?id=1jTaXDTFSfRRMEDQdNviG_LTnMLtkOZjT