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Data-Cloud-Consultant最速合格、Data-Cloud-Consultant合格受験記
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ちなみに、Tech4Exam Data-Cloud-Consultantの一部をクラウドストレージからダウンロードできます:https://drive.google.com/open?id=1NC0_ir_JEiAF6MhrgSkS6lk6v5DI1PBE
Tech4Examのサイトは長い歴史を持っていて、SalesforceのData-Cloud-Consultant認定試験の学習教材を提供するサイトです。長年の努力を通じて、Tech4ExamのSalesforceのData-Cloud-Consultant認定試験の合格率が100パーセントになっていました。SalesforceのData-Cloud-Consultant試験トレーニング資料の高い正確率を保証するために、うちはSalesforceのData-Cloud-Consultant問題集を絶えずに更新しています。それに、うちの学習教材を購入したら、私たちは一年間で無料更新サービスを提供することができます。
Salesforce Data-Cloud-Consultant 認定試験の出題範囲:| トピック | 出題範囲 | | トピック 1 | - Data Cloud Overview: This topic covers Data Cloud's function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud's capabilities and applications.
| | トピック 2 | - Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.
| | トピック 3 | - Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.
| | トピック 4 | - Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.
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Data-Cloud-Consultant合格受験記 & Data-Cloud-Consultant日本語版問題解説テスト志向の高品質なData-Cloud-Consultant試験問題があなたにとって最良の選択であると信じています。すべての受験者がData-Cloud-Consultant試験に合格し、Data-Cloud-Consultant準備ガイドの多大なメリットを享受できることを心から願っています。 Data-Cloud-Consultant試験問題の合格率は99%〜100%です。受験者がData-Cloud-Consultant試験に合格できるようにすることは、当社の文化において常に長所であり、購入および使用のプロセスでメールで連絡を取ることができます。できるだけ早く返信いたします。
Salesforce Certified Data Cloud Consultant 認定 Data-Cloud-Consultant 試験問題 (Q73-Q78):質問 # 73
Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?
- A. Include Contact Point Email object Is Active field as a match rule.
- B. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliation rule.
- C. Use the source priority order in activations to make sure a contact point from the desired source is delivered to the activation target.
- D. Set the default reconciliation rule to Last Updated.
正解:C
解説:
Explanation
NTO is using Fuzzy Name and Normalized Email as match rules to link together data from different sources into a unified individual profile. However, there might be cases where the same email address is available from more than one source, and NTO needs to decide which one to use for activation. For example, if Rachel has the same email address in Service Cloud and Marketing Cloud, but prefers to receive communications from NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing Cloud is activated. To do this, NTO can use the source priority order in activations, which allows them to rank the data sources in order of preference for activation. By placing Marketing Cloud higher than Service Cloud in the source priority order, NTO can make sure that the email address from Marketing Cloud is delivered to the activation target, such as an email campaign or a journey. This way, NTO can respect Rachel's preference and deliver a better customer experience. References: Configure Activations, Use Source Priority Order in Activations
質問 # 74
A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data.
How should a consultant ingest and map this data in Data Cloud?
- A. Ingest the data into two DLOs and then map to two custom DMOs.
- B. Ingest the data into one DLO and then map to one custom DMO.
- C. Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.
- D. Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.
正解:D
質問 # 75
Which permission setting should a consultant check if the custom Salesforce CRM object is not available in New Data Stream configuration?
- A. Confirm that the Modify Object permission is enabled in the Data Cloud org.
- B. Confirm the Ingest Object permission is enabled in the Salesforce CRM org.
- C. Confirm the Create object permission is enabled in the Data Cloud org.
- D. Confirm the View All object permission is enabled in the source Salesforce CRM org.
正解:D
解説:
To create a new data stream from a custom Salesforce CRM object, the consultant needs to confirm that the View All object permission is enabled in the source Salesforce CRM org. This permission allows the user to view all records associated with the object, regardless of sharing settings1. Without this permission, the custom object will not be available in the New Data Stream configuration2. Reference:
Manage Access with Data Cloud Permission Sets
Object Permissions
質問 # 76
When creating a segment on an individual, what is the result of using two separate containers linked by an AND as shown below?
GoodsProduct | Count | At Least | 1
Color | Is Equal To | red
AND
GoodsProduct | Count | At Least | 1
PrimaryProductCategory | Is Equal To | shoes
- A. Individuals who purchased at least one 'red shoes' as a single line item in a purchase
- B. Individuals who made a purchase of at least one 'red shoes' and nothing else
- C. Individuals who purchased at least one of any red' product and also purchased at least one pair of 'shoes'
- D. Individuals who purchased at least one of any 'red' product or purchased at least one pair of
'shoes'
正解:C
解説:
When creating a segment on an individual, using two separate containers linked by an AND means that the individual must satisfy both the conditions in the containers. In this case, the individual must have purchased at least one product with the color attribute equal to 'red' and at least one product with the primary product category attribute equal to 'shoes'. The products do not have to be the same or purchased in the same transaction. Therefore, the correct answer is A.
The other options are incorrect because they imply different logical operators or conditions. Option B implies that the individual must have purchased a single product that has both the color attribute equal to 'red' and the primary product category attribute equal to 'shoes'. Option C implies that the individual must have purchased only one product that has both the color attribute equal to 'red' and the primary product category attribute equal to 'shoes' and no other products. Option D implies that the individual must have purchased either one product with the color attribute equal to 'red' or one product with the primary product category attribute equal to 'shoes' or both, which is equivalent to using an OR operator instead of an AND operator.
Reference:
Create a Container for Segmentation
Create a Segment in Data Cloud
Navigate Data Cloud Segmentation
質問 # 77
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options.
Which Data Cloud feature should help with this use case?
- A. Value suggestion
- B. Global picklists
- C. Data harmonization
- D. Transformation formulas
正解:A
解説:
Value suggestion is a Data Cloud feature that allows users to see and select the possible values for a text field when creating segment filters. Value suggestion can be enabled or disabled for each data model object (DMO) field in the DMO record home. Value suggestion can help users to identify and select text attributes from a picklist of options, without having to type or remember the exact values. Value suggestion can also reduce errors and improve data quality by ensuring consistent and valid values for the segment filters. References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes
質問 # 78
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