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SF-Data-Arch Salesforce Data Management Practice Question

Exhibit

Error: UNABLE_TO_LOCK_ROW: unable to obtain exclusive access to this record or 1 records: [001xx000003YyZz]

Refer to the exhibit. An integration user is encountering record locking errors during high-volume data updates. What is the most effective technical solution to resolve this contention?

⚠ Common exam trap

Candidates mistakenly suggest increasing batch sizes or running parallel threads to speed up updates, which actually exacerbates record locking contention on parent records.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Group records by parent ID before processing to ensure serialization.

Record locking in Salesforce often occurs when multiple processes or threads attempt to update the same parent record or records with common children. To resolve this, the integration process should be serialized or partitioned to group related records together. By ensuring that transactions affecting the same parent record are processed sequentially in the same thread, the architecture prevents the 'Unable to lock row' errors, enhancing overall stability and throughput.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Increase the number of threads in the integration to process records faster.

    Why it's wrong here

    Increasing the number of concurrent threads directly exacerbates record-locking issues. When multiple threads attempt to access the same database row simultaneously, contention increases, leading to more frequent lock timeouts. Reducing parallelism is often the most effective way to eliminate row-locking contention during high-volume data operations.

  • ✓

    Group records by parent ID before processing to ensure serialization.

    Why this is correct

    Sorting or grouping records by parent ID ensures that all child records associated with a specific parent are handled in the same batch. This approach minimizes the number of competing processes that need to lock the same parent record, significantly reducing the likelihood of encountering row-locking errors during processing.

  • ✗

    Change the record ownership to a generic user account to avoid user locks.

    Why it's wrong here

    Row locking is a database-level mechanism that locks the record itself, not the user performing the update. Changing the owner does nothing to prevent another thread from trying to update that same record, and therefore, it will not solve the issue of concurrent access contention in the database.

  • ✗

    Disable the 'User Audit' tracking on the affected object.

    Why it's wrong here

    Field history tracking can contribute to row locking, but the error described usually results from direct parent-child record contention. While disabling tracking might help slightly, it does not address the core architectural issue of concurrent processing of records with shared dependencies, which is the primary cause of contention.

Visual reference

Client Recursive Resolver Root DNS (13 root servers) TLD DNS (.com, .org, …) Authoritative example.com query IP addr answer

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Salesforce exam blueprint

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