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Universal Containers (UC) is migrating data from legacy system to Salesforce. During data analysis it was discovered that data types of fields being migrated do not match with Salesforce data types. Which solution should a data architect use to ensure successful data migrations?
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Question 209 - Certified Data Architect discussion

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Universal Containers (UC) has a very large and complex Salesforce org with hundreds of validation rules and triggers. The triggers are responsible for system updates and data manipulation as records are created or updates by users. A majority of the automation tool within UC'' org were not designed to run during a data load. UC is importing 100,000 records into Salesforce across several objects over the weekend.

What should a data architect do to mitigate any unwanted results during the import?

A.
Ensure validation rules, triggers and other automation tools are disabled.
Answers
A.
Ensure validation rules, triggers and other automation tools are disabled.
B.
Ensure duplication and matching rules and defined.
Answers
B.
Ensure duplication and matching rules and defined.
C.
Import the data in smaller batches over a 24-hour period.
Answers
C.
Import the data in smaller batches over a 24-hour period.
D.
Bulkily the trigger to handle import leads.
Answers
D.
Bulkily the trigger to handle import leads.
Suggested answer: A

Explanation:

Ensuring validation rules, triggers and other automation tools are disabled is the best way to mitigate any unwanted results during the import, as it prevents any errors or conflicts that may occur due to the existing logic. Ensuring duplication and matching rules are defined may not be sufficient or relevant for preventing unwanted results. Importing the data in smaller batches over a 24-hour period may not be necessary or efficient. Bulkifying the trigger to handle import leads may not be possible or desirable if the triggers were not designed to run during a data load.

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asked 23/09/2024
fritz villanueva
48 questions
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