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Marketing-Cloud-Intelligence日本語版復習指南、Marketing-Cloud-Intelligence試験番号

無料でクラウドストレージから最新のXhs1991 Marketing-Cloud-Intelligence PDFダンプをダウンロードする：https://drive.google.com/open?id=1965gaG5nz0QFbXEsIektuT7esbmCyXTB

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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

• 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.

トピック 2

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

トピック 3

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

トピック 4

• Data Model: In this domain, marketing professionals will explore data model entities, their relationships, and attributes within Marketing Cloud Intelligence.

トピック 5

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

トピック 6

• 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.

トピック 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.

 

>> Marketing-Cloud-Intelligence日本語版復習指南 <<

Salesforce Marketing-Cloud-Intelligence試験番号 & Marketing-Cloud-Intelligence勉強資料

Xhs1991が提供したSalesforceのMarketing-Cloud-Intelligenceトレーニング資料を持っていたら、美しい未来を手に入れるということになります。Xhs1991が提供したSalesforceのMarketing-Cloud-Intelligenceトレーニング資料はあなたの成功への礎になれることだけでなく、あなたがIT業種でもっと有効な能力を発揮することも助けられます。このトレーニングはカバー率が高いですから、あなたの知識を豊富させる以外、操作レベルを高められます。もし今あなたがSalesforceのMarketing-Cloud-Intelligence「Marketing Cloud Intelligence Accredited Professional Exam」試験にどうやって合格することに困っているのなら、心配しないでください。Xhs1991が提供したSalesforceのMarketing-Cloud-Intelligenceトレーニング資料はあなたの問題を解決することができますから。

Salesforce Marketing Cloud Intelligence Accredited Professional Exam 認定 Marketing-Cloud-Intelligence 試験問題 (Q24-Q29):

質問 # 24
An implementation engineer has been asked to perform a QA for a newly created harmonization field, Color, implemented by a client.
The source file that was ingested can be seen below:

The client performed the below standard mapping:

As a final step, the client had created the field 'Color'. As can be seen, it is extracted from the Creative Name (after the '#' sign).
For QA purposes, you have queried a pivot table, with the following fields:
* Media Buy Key
* Media Buy Name
* In View Impressions
The final pivot is presented below:

• A. A Harmonized dimension was created via a pattern over the Creative Name.
• B. An EXTRACT formula (for Color) was written and mapped to a Media Buy custom attribute.
• C. An EXTRACT formula (for Color) was written and mapped to a Creative custom attribute.
• D. A calculated dimension was created with the formula: EXTRACT([Creative_Namel, #1)

正解：C

解説：
Given that the 'Color' field is extracted from the 'Creative Name' field and appears to be part of the creative-level data, the most logical method would be to create an EXTRACT formula and map it to a Creative custom attribute. This allows the 'Color' value to be associated directly with each creative entry. In Salesforce Marketing Cloud Intelligence, the EXTRACT formula can be used to parse and segment text strings within a field, and this process is used for harmonizing data by creating new dimensions or attributes based on existing data, which is what's described here. This answer is consistent with Salesforce Marketing Cloud Intelligence features that enable data transformation and harmonization through formulaic mapping, as per the official Salesforce documentation on data harmonization and transformation.

 

質問 # 25
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
"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
7th - 10th. How many different stages are presented in the table?

• A. 0
• B. 1
• C. 2
• D. 3

正解：B

解説：
Based on the Opportunity file and considering the filter dates from January 7th to 10th, the different stages presented are 'Interest', 'Confirmed Interest', and 'Registered'. This makes a total of 3 different stages that would be presented in the pivot table. Salesforce Marketing CloudIntelligence allows for the creation of pivot tables that can display counts of entities across different dimensions, in this case, Opportunity Stages.
Reference to Salesforce Marketing Cloud Intelligence documentation that covers data mapping and pivot table creation would support this conclusion.

 

質問 # 26
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?

• A. No mappable measurements - all measurements are calculated
• B. When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
• C. The data is stored at the workspace level.
• D. Pacing - daily rows are being created for every lead and opportunity keys

正解：A、D

 

質問 # 27
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 Campaign Key
• B. All fields are mapped except for the Creative Name
• C. All fields are mapped except for the Media Buy Name.
• D. All fields are mapped except for the Media Buy Key.

正解：A

解説：
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.

 

質問 # 28
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. Inherit Attributes and Hierarchies
• B. Update Attributes
• C. There is no difference, all permissions will have a similar effect given the scenario.
• D. Update Attributes and Hierarchies

正解：D

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 # 29
......

多分、Marketing-Cloud-Intelligenceテスト質問の数が伝統的な問題の数倍である。Salesforce　Marketing-Cloud-Intelligence試験参考書は全ての知識を含めて、全面的です。そして、Marketing-Cloud-Intelligence試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。Marketing-Cloud-Intelligence試験参考書があれば,ほかの試験参考書を勉強する必要がないです。

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無料でクラウドストレージから最新のXhs1991 Marketing-Cloud-Intelligence PDFダンプをダウンロードする：https://drive.google.com/open?id=1965gaG5nz0QFbXEsIektuT7esbmCyXTB