SF-Data-Arch Salesforce Data Management Practice Question
A financial services firm needs to load 20 million records into an object with a complex sharing model involving many Sharing Rules and Role Hierarchy levels. To minimize the time taken for the data load and avoid performance degradation, which feature should the architect utilize?
⚠ Common exam trap
Candidates often attempt to load data without adjusting sharing settings, leading to 'lock contention' as Salesforce tries to recalculate sharing rules for every single record during the load.
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
✓
Utilizing 'Deferred Sharing Maintenance' to pause sharing rule recalculations.
Loading massive datasets into objects with complex sharing logic triggers significant overhead as Salesforce recalculates sharing access for every record. Deferring sharing calculations allows the data load to proceed without immediate recalculation, which is then performed in a single, optimized background process once the load is complete, saving hours of processing time.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Granting 'Ignore Hierarchy' permissions to the integration user profile.
Why it's wrong here
There is no 'Ignore Hierarchy' permission that bypasses sharing logic for the purpose of data loading performance. Sharing logic is deeply embedded in the platform's security model, and while an integration user might have 'View All Data', the system still must maintain the underlying sharing tables for others.
- ✗
Utilizing the 'Granular Locking' feature to allow concurrent sharing updates.
Why it's wrong here
Granular Locking is a feature that allows the system to be more precise when locking the sharing tables to prevent conflicts. While it helps reduce locking errors in high-concurrency environments, it does not stop the recalculation process itself, making it less effective than deferring calculations for large loads.
- ✓
Utilizing 'Deferred Sharing Maintenance' to pause sharing rule recalculations.
Why this is correct
Deferred Sharing Maintenance allows administrators to suspend the automatic recalculation of sharing rules. This is essential for large data volumes because it prevents the system from performing redundant calculations after every batch, allowing the admin to trigger a single comprehensive recalculation after the total data load is finished.
- ✗
Setting the Organization-Wide Defaults (OWD) to Public Read/Write for the load.
Why it's wrong here
Changing OWD to Public Read/Write would indeed simplify sharing, but it is often not feasible due to strict security requirements in financial services. Furthermore, changing OWD back to Private after the load would trigger a massive sharing recalculation anyway, essentially delaying the performance hit rather than optimizing it.
About these practice questions
Courseiva writes every SF-Data-Arch question from scratch — 222 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
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
This SF-Data-Arch practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SF-Data-Arch exam.