DATA-CLOUD-CONSULTANT受験記 & DATA-CLOUD-CONSULTANT実際試験

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>> Data-Cloud-Consultant受験記 <<

完璧なData-Cloud-Consultant受験記 & 優秀なSalesforce 認定トレーニング - 素晴らしいSalesforce Salesforce Certified Data Cloud Consultant

最も効率的で直感的な学習方法を学習者に提供し、学習者が効率的に学習できるように最善を尽くします。 Data-Cloud-Consultant試験リファレンスは、クライアントにインスタンスを提供し、クライアントが直感的に理解できるようにします。ナレッジポイントを具体的に示すためのData-Cloud-Consultantテストガイドのインスタンスがあるという考慮事項に基づいています。実際のData-Cloud-Consultant試験を刺激することにより、クライアントは実際のData-Cloud-Consultant試験練習問題の習熟度を理解できます。したがって、クライアントは抽象的な概念を直感的に理解できます。

Salesforce Certified Data Cloud Consultant 認定 Data-Cloud-Consultant 試験問題 (Q149-Q154):

質問 # 149
Cumulus Financial offers both business and personal loans. Records in the Contact DLO can be useful for both groups since individual customers may have both business and personal loans. However, for legal reasons, the two groups must be kept separate.
How should Cumulus Financial solve this business requirement?

A. Use two data spaces.
B. Duplicate the Contact DLO.
C. Duplicate the Individual DM0.
D. Create two identity resolution rules in the same data space.

正解：A

質問 # 150
Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users.
What should the consultant do to accomplish this?

A. Use the data spaces feature and applying filtering on the Account data lake object based on Country.
B. Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.
C. Use formula fields based on the account Country field to filter incoming records.
D. Use streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.

正解：A

解説：
Data spaces are a feature that allows Data Cloud users to create subsets of data based on filters and permissions. Data spaces can be used to segregate data based on different criteria, such as geography, business unit, or product line. In this case, the consultant can use the data spaces feature and apply filtering on the Account data lake object based on Country. This way, the Data Cloud users can access only the Account data that belongs to their respective countries. Reference: Data Spaces, Create a Data Space

質問 # 151
What is the result of a segmentation criteria filtering on City | Is Equal To | 'San Jose'?

A. Cities only containing 'San Jose' or 'San Jose'
B. Cities only containing 'San Jose' or 'san jose'
C. Cities containing 'San Jose', 'San Jose', 'san jose', or 'san jose'
D. Cities only containing 'San Jose' or 'san jose'

正解：B

解説：
The result of a segmentation criteria filtering on City | Is Equal To | 'San Jose' is cities only containing 'San Jose' or 'san jose'. This is because the segmentation criteria is case-sensitive and accent-sensitive, meaning that it will only match the exact value that is entered in the filter1. Therefore, cities containing 'San Jose', 'san jose', or 'San Jose' will not be included in the result, as they do not match the filter value exactly. To include cities with different variations of the name 'San Jose', you would need to use the OR operator and add multiple filter values, such as 'San Jose' OR 'San Jose' OR 'san jose' OR 'san jose'2. References: Segmentation Criteria, Segmentation Operators

質問 # 152
Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?

A. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.
B. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud. They do not allow activation of new records.
C. Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
D. Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.

正解：A

解説：
The reason for the activated count being smaller than the segment count is A. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated. A Contact Point is a data model object that represents a channel or method of communication with an individual, such as email, phone, or social media. For Marketing Cloud activations, Data Cloud requires that the individual has a related Contact Point of type Email, which contains a valid email address. If the individual does not have such a Contact Point, or if the Contact Point is missing or invalid, the individual will not be activated and will not receive the email communication. Therefore, the activated count may be lower than the segment count, depending on how many individuals in the segment have a valid email Contact Point. References: Salesforce Data Cloud Consultant Exam Guide, Contact Point, Marketing Cloud Activation

質問 # 153
Cumulus Financial uses Service Cloud as its CRM and stores mobile phone, home phone, and work phone as three separate fields for its customers on the Contact record. The company plans to use Data Cloud and ingest the Contact object via the CRM Connector.
What is the most efficient approach that a consultant should take when ingesting this data to ensure all the different phone numbers are properly mapped and available for use in activation?

A. Ingest the Contact object and create formula fields in the Contact data stream on the phone numbers, and then map to the Contact Point Phone data map object.
B. Ingest the Contact object and then create a calculated insight to normalize the phone numbers, and then map to the Contact Point Phone data map object.
C. Ingest the Contact object and map the Work Phone, Mobile Phone, and Home Phone to the Contact Point Phone data map object from the Contact data stream.
D. Ingest the Contact object and use streaming transforms to normalize the phone numbers from the Contact data stream into a separate Phone data lake object (DLO) that contains three rows, and then map this new DLO to the Contact Point Phone data map object.

正解：D

解説：
Explanation
The most efficient approach that a consultant should take when ingesting this data to ensure all the different phone numbers are properly mapped and available for use in activation is B. Ingest the Contact object and use streaming transforms to normalize the phone numbers from the Contact data stream into a separate Phone data lake object (DLO) that contains three rows, and then map this new DLO to the Contact Point Phone data map object. This approach allows the consultant to use the streaming transforms feature of Data Cloud, which enables data manipulation and transformation at the time of ingestion, without requiring any additional processing or storage. Streaming transforms can be used to normalize the phone numbers from the Contact data stream, such as removing spaces, dashes, or parentheses, and adding country codes if needed. The normalized phone numbers can then be stored in a separate Phone DLO, which can have one row for each phone number type (work, home, mobile). The Phone DLO can then be mapped to the Contact Point Phone data map object, which is a standard object that represents a phone number associated with a contact point.
This way, the consultant can ensure that all the phone numbers are available for activation, such as sending SMS messages or making calls to the customers.
The other options are not as efficient as option B. Option A is incorrect because it does not normalize the phone numbers, which may cause issues with activation or identity resolution. Option C is incorrect because it requires creating a calculated insight, which is an additional step that consumes more resources and time than streamingtransforms. Option D is incorrect because it requires creating formula fields in the Contact data stream, which may not be supported by the CRM Connector or may cause conflicts with the existing fields in the Contact object. References: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Streaming Transforms, Contact Point Phone

質問 # 154
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2026年JPNTestの最新Data-Cloud-Consultant PDFダンプおよびData-Cloud-Consultant試験エンジンの無料共有：https://drive.google.com/open?id=1dAVJA5N1GS3j67NOgnF-wA8cc31BNz5o

Created: 10/04/2026 07:55:44

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