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Marketing-Cloud-Intelligence実用的｜素晴らしいMarketing-Cloud-Intelligence模擬問題集試験｜試験の準備方法Marketing Cloud Intelligence Accredited Professional Exam復習範囲

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Salesforce Marketing-Cloud-Intelligence 認定試験の出題範囲：

トピック
出題範囲

トピック 1

Data Fusion: このトピックでは、Data Fusion のユースケースとプロパティに焦点を当て、マーケティング担当者がデータセットを効果的にマージして包括的なマーケティング分析情報を取得できるようにします。

トピック 2

データ更新権限: この領域では、データ更新に関連する権限と設定に関する知識をテストします。親子の設定を理解し、データの正確性を確保するための「真実のソース」を管理することが含まれます。

トピック 3

マッピング: マーケティングプロフェッショナルは、Marketing Cloud Intelligence の取り込み機能に重点を置き、効率的なデータ編成に不可欠なデータマッピングプロセスと結果に関する知識を評価します。

トピック 4

包括的なエンティティ: Salesforce マーケティングプロフェッショナルは、戦略的なデータの編成と分析に不可欠な包括的なエンティティ、そのユースケース、およびアプリケーションについての理解を深めます。

トピック 5

QA 機能: このセクションでは、さまざまなシナリオの一般的な QA 手順に焦点を当て、Salesforce マーケティング担当者がデータの品質とプラットフォームのパフォーマンスを確保できるようにします。

トピック 6

ハーモナイゼーションセンター (パターン
データ分類
検証): Salesforce マーケティングプロフェッショナルは、データの信頼性を確保するための分類ルール、検証リスト、パターン、ハーモナイゼーションディメンションなどのハーモナイゼーションセンターの機能について学習します。

トピック 7

データモデル: このドメインでは、マーケティングプロフェッショナルが Marketing Cloud Intelligence 内のデータモデルエンティティ、それらの関係、および属性を調査します。

トピック 8

一般的な機能: このトピックでは、Salesforce マーケティングプロフェッショナルが Marketing Cloud Intelligence のコア機能について説明します。データ主導のマーケティング戦略と洞察に不可欠なプラットフォーム機能の理解度を測定します。

>> Marketing-Cloud-Intelligence模擬問題集 <<

SalesforceのMarketing-Cloud-Intelligence認定試験に準備する時間を節約できる問題集

MogiExamは、Marketing Cloud Intelligence Accredited Professional Exam試験に必要な人向けの安定した信頼できる試験問題プロバイダーです。私たちは長い間市場に滞在し、成長してきました。Marketing-Cloud-Intelligence試験問題の優れた品質と高い合格率のため、私たちは常にここにいます。安全な環境と効果的な製品については、数千人の候補者が私たちの研究の質問を選んでいます。なぜあなたは私たちMogiExamの研究の質問に挑戦してみてください。

Salesforce Marketing Cloud Intelligence Accredited Professional Exam 認定 Marketing-Cloud-Intelligence 試験問題 (Q10-Q15):

質問 # 10
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?

A. The client Wi-Fi be able to harmonize only Google Ads and Twitter Ads, as Facebook Ads naming convention contains mufti delimiters.
B. The client will be able to do this and it will require building three patterns.
C. This is not possible as the naming conventions are in different fields (Campaign Name and Placement Name)
D. it is not possible to do this, as the naming conventions are different

正解：B

解説：
Despite the different naming conventions, harmonization is possible using patterns in the Harmonization Center. By extracting the 'Market' and 'Objective' components from the naming conventions of each platform, three separate patterns would be created to map these common fields consistently across the data from Facebook Ads, Twitter Ads, and Google Ads.

質問 # 11
What is the relationship between "Media Buy Key" and "Creative Key?

A. Many-to-many
B. One-to-many (one Media Buy ley has many Creative Key)
C. Many-to-one (one Creative Key has many Media Buy Keys)
D. One-to-one

正解：B

解説：
In Marketing Cloud Intelligence, the "Media Buy Key" is typically associated with the purchase details of a media campaign, such as the platform, audience, and budget. The "Creative Key" relates to the specific creative asset used within a campaign, like an image, video, or text. A single media buy can have multiple creative variations to test performance or to target different audiences, leading to a one-to-many relationship.

質問 # 12
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?

A. Transformers
B. Custom Classification
C. Fusion
D. Calculated dimensions
E. Parent Chile

正解：B

解説：
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.

質問 # 13
Animplementation 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:

正解：D

解説：
In Salesforce Marketing Cloud Intelligence, connections between source files and classification files are established through common keys that link data records. For this scenario:
* The "1st Party Creative Classification" file has a "Creative ID" field which corresponds to the "Creative Key" in the "Twitter Ads" data. This link enables enrichment of Twitter Ads data with creative classification details.
* The "1st Party Placement Classification" file will contain a "Placement ID" that connects to a corresponding field in the "Twitter Ads" data, enabling the enrichment of placement classification details.
Option A appears to accurately depict this setup where data streams for "Creative Classification" and
"Placement Classification" are connected to the "Twitter Ads" data stream using the "Creative ID" and
"Placement ID", respectively. This structure allows for the enhancement of the main Twitter Ads data with additional classification information.

質問 # 14
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
B. Update Attributes and Hierarchies
C. There is no difference, all permissions will have a similar effect given the scenario.
D. Inherit Attributes and Hierarchies

正解：B

解説：
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.

質問 # 15
......

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