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A consultant is planning the ingestion of a data stream that has profile information including a mobile phone number. To ensure that the phone number can be used for future SMS campaigns, they need to confirm the phone number field is in the proper E164 Phone Number format. However, the phone numbers in the file appear to be in varying formats. What is the most efficient way to guarantee that the various phone number formats are standardized?
Correct Answer: C
The most efficient way to guarantee that the various phone number formats are standardized is to assign the PhoneNumber field type when creating the data stream. The PhoneNumber field type is a special field type that automatically converts phone numbers into the E164 format, which is the international standard for phone numbers. The E164 format consists of a plus sign (+), the country code, and the national number. For example, +1-202-555-1234 is the E164 format for a US phone number. By using the PhoneNumber field type, the consultant can ensure that the phone numbers are consistent and can be used for future SMS campaigns. The other options are either more time-consuming, require manual intervention, or do not address the formatting issue. References: Data Stream Field Types, E164 Phone Number Format, Salesforce Data Cloud Exam Questions
Recent Comments (The most recent comments are at the top.)
JJ - Jan 25, 2025
The correct answer is:
A. Create a formula field to standardize the format.
Using a formula field during ingestion is the most efficient way to standardize phone numbers into the proper E164 format. Formula fields can transform the data as it is ingested, ensuring that all phone numbers conform to the required format without needing to modify the source system or manually edit dataCohort 20 Copy of AMER ….
Why not the other options? B. Edit and update the data in the source system prior to sending to Data Cloud: This would be time-consuming and less efficient, especially for dynamic or large datasets. C. Assign the PhoneNumber field type when creating the data stream: While assigning the field type is necessary, it doesn't automatically standardize phone numbers into E164 format. D. Create a calculated insight after ingestion: Calculated insights are used for metrics and insights, not for transforming or standardizing data during ingestionCohort 20 Copy of AMER ….
Meesha - Jan 22, 2025
It should be "A". The phone data type is modeled on the text data type. Any valid text value is accepted for ingestion into a phone data type field.
Meesha - Jan 22, 2025
It should be "A". The phone data type is modeled on the text data type. Any valid text value is accepted for ingestion into a phone data type field.
Recent Comments (The most recent comments are at the top.)
The correct answer is:
A. Create a formula field to standardize the format.
Using a formula field during ingestion is the most efficient way to standardize phone numbers into the proper E164 format. Formula fields can transform the data as it is ingested, ensuring that all phone numbers conform to the required format without needing to modify the source system or manually edit dataCohort 20 Copy of AMER ….
Why not the other options?
B. Edit and update the data in the source system prior to sending to Data Cloud: This would be time-consuming and less efficient, especially for dynamic or large datasets.
C. Assign the PhoneNumber field type when creating the data stream: While assigning the field type is necessary, it doesn't automatically standardize phone numbers into E164 format.
D. Create a calculated insight after ingestion: Calculated insights are used for metrics and insights, not for transforming or standardizing data during ingestionCohort 20 Copy of AMER ….
It should be "A". The phone data type is modeled on the text data type. Any valid text value is accepted for ingestion into a phone data type field.
It should be "A". The phone data type is modeled on the text data type. Any valid text value is accepted for ingestion into a phone data type field.