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Exam Certified Data Cloud Consultant All Questions

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Exam Certified Data Cloud Consultant topic 1 question 24 discussion

Actual exam question from Salesforce's Certified Data Cloud Consultant
Question #: 24
Topic #: 1
[All Certified Data Cloud Consultant Questions]

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 map the Work Phone, Mobile Phone, and Home Phone to the Contact Point Phone data map object from the Contact data stream by adding custom fields for Work and Home Phone.
  • 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.
  • C. 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.
  • D. 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.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by Dimi_Mous at Sept. 13, 2024, 3:18 p.m.

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c5b95bf
1 month ago
Selected Answer: B
B is correct
upvoted 2 times
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JohnDoe0071
1 month, 1 week ago
B.
upvoted 1 times
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Vailas
1 month, 1 week ago
Selected Answer: A
Why B? There is no special transformation requested so the phones should be simply mapped to Contact Point Phone. I vote A
upvoted 2 times
Blablabla39
6 days, 16 hours ago
The correct answer is B because using streaming transforms to normalize the phone numbers into a separate Phone Data Lake Object is the most efficient and scalable approach. This approach allows each phone type to be treated as separate entries in a standardized structure, making it easier to manage, query, and activate for use in Data Cloud. After transforming the data into a normalized format, it can then be mapped to the Contact Point Phone data map object, which is specifically designed to handle multiple contact points.
upvoted 1 times
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Dimi_Mous
2 months, 1 week ago
Scratch that, it is B!
upvoted 1 times
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Dimi_Mous
2 months, 1 week ago
I think that it is A here
upvoted 2 times
...

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