A company is migrating data to Salesforce and wants to ensure that if the migration fails, they can restore the system to its pre-migration state. They also want to avoid duplicate records if the migration is re-run. Which two considerations are most important?

Data encryption and a phased approach

A test migration and user training

Data validation and a big bang strategy

A rollback plan and idempotent load jobs

A healthcare company is migrating patient records from a legacy system to Salesforce. The legacy system stores dates as MM/DD/YYYY and uses a custom gender code (M/F/U). The target Salesforce fields require ISO dates and a picklist with Male/Female/Unknown. The migration must be completed in one weekend. What is the most important planning activity?

Setting up a sandbox for testing the migration

Assigning a data steward to review records post-load

Selecting an ETL tool for the migration

Creating a field mapping document that includes transformation rules

A company is planning a data migration to Salesforce. They have a tight go-live deadline and want to minimize disruption to users. They have completed a full test migration in a sandbox. What is the next best step before the actual cutover?

Freeze all changes to the source system

Validate the sandbox data against the source

Perform a second dry run with the final data set

Start the actual migration immediately

A company has completed a data migration and wants to verify that all records were loaded correctly. They have a source extract with a unique ID for each record. They also want to ensure that field values match the source. Which validation approach is most comprehensive?

Sample a random set of records and compare fields

Compare record counts between source and target

Run a reconciliation report that matches source IDs to Salesforce IDs and compares key fields

Check the error logs from the load job

SalesforceCertified Technical Architect

Domain 3Objective 3

Given a Scenario, Determine the Data Migration Strategy, Considerations, and Appropriate Tools to Use. TECHNICAL-ARCHITECT Practice Questions (Page 1)

Part of the DATA domain, which makes up ~8% of our current practice bank.

24questions here

5free pages

7concepts

Questions 1–5

1application · medium
A company is migrating data to Salesforce and wants to ensure that if the migration fails, they can restore the system to its pre-migration state. They also want to avoid duplicate records if the migration is re-run. Which two considerations are most important?
Select an answer first
2application · medium
A healthcare company is migrating patient records from a legacy system to Salesforce. The legacy system stores dates as MM/DD/YYYY and uses a custom gender code (M/F/U). The target Salesforce fields require ISO dates and a picklist with Male/Female/Unknown. The migration must be completed in one weekend. What is the most important planning activity?
Select an answer first
3application · medium
A company is planning a data migration to Salesforce. They have a tight go-live deadline and want to minimize disruption to users. They have completed a full test migration in a sandbox. What is the next best step before the actual cutover?
Select an answer first
4application · medium
A company has completed a data migration and wants to verify that all records were loaded correctly. They have a source extract with a unique ID for each record. They also want to ensure that field values match the source. Which validation approach is most comprehensive?
Select an answer first
5foundation · easy
A legacy system stores dates in a format like 'MM/DD/YYYY', but Salesforce expects 'YYYY-MM-DD'. What must be defined to handle this conversion during migration?
Select an answer first

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Given a Scenario, Determine the Data Migration Strategy, Considerations, and Appropriate Tools to Use. TECHNICAL-ARCHITECT Practice Questions (Page 1)

Questions 1–5

A company is migrating data to Salesforce and wants to ensure that if the migration fails, they can restore the system to its pre-migration state. They also want to avoid duplicate records if the migration is re-run. Which two considerations are most important?

A company is planning a data migration to Salesforce. They have a tight go-live deadline and want to minimize disruption to users. They have completed a full test migration in a sandbox. What is the next best step before the actual cutover?

A company has completed a data migration and wants to verify that all records were loaded correctly. They have a source extract with a unique ID for each record. They also want to ensure that field values match the source. Which validation approach is most comprehensive?

A legacy system stores dates in a format like 'MM/DD/YYYY', but Salesforce expects 'YYYY-MM-DD'. What must be defined to handle this conversion during migration?

Keep studying — DATA