Given a Customer Scenario, Recommend an Optimal Data Migration Plan Taking into Account Parallelism, Managing Locks, and Handling Sharing Rules. DATA-ARCHITECT Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   What is the primary benefit of using parallel processing in a data migration?

   • AIt automatically adjusts the batch size to avoid hitting API limits.
   • BIt reduces the total time required to migrate large volumes of data.
   • CIt eliminates the need to manage sharing rules during migration.
   • DIt guarantees that no records will be locked during the migration.
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   A data architect is designing a migration plan for a large dataset. Which element is most important to include in the plan to ensure a successful migration?

   • AA rollback strategy in case of errors.
   • BA plan to disable all validation rules during migration.
   • CA plan to migrate all data in a single batch to save time.
   • DA plan to use the same migration tool for all objects.
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   Which type of lock is most likely to be encountered during a data migration that updates many records in the same object?

   • ARecord lock
   • BSchema lock
   • CObject lock
   • DSharing lock
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   During a data migration, why is it important to consider sharing rules?

   • ABecause sharing rules can affect the performance of the migration.
   • BBecause sharing rules can cause data loss if not handled correctly.
   • CBecause sharing rules affect the order in which records must be migrated.
   • DBecause sharing rules determine which users can see the migrated records after the migration is complete.
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   During a data migration, a batch job fails because of a record lock. Which strategy is most effective for minimizing such lock contention?

   • AUse smaller batch sizes and schedule jobs during off-peak hours.
   • BIncrease the batch size to process more records in a single transaction.
   • CDisable all sharing rules before starting the migration.
   • DRun all batch jobs in parallel to finish before other processes start.
   Reveal Solution Discussion Select an answer first