Question 1
AdvancedLarge Data Volume (LDV) Considerations · Designing for Scale
A global logistics company is experiencing significant performance degradation during territory realignment. Their Enterprise Territory Management 2.0 model includes a 7-level territory hierarchy and over 500 assignment rules that run on Account updates. During peak hours, updates to Account records frequently time out. The org contains 15 million Account records. An architect has been tasked with optimizing the sharing model to improve performance without compromising the complex access requirements. Which approach should the architect prioritize?
Answer and explanation
Correct answer: D
In Large Data Volume (LDV) scenarios involving Enterprise Territory Management, the complexity and efficiency of assignment rules are the most common cause of performance issues. Simplifying rules by using indexed fields (like Record IDs, Owner IDs, custom fields marked as External ID) and reducing the total number of rules will have the most significant impact on performance. Replacing the standard feature with a custom solution is a massive undertaking and should be a last resort. Increasing batch size could exacerbate timeouts, and while archiving data is a valid LDV strategy, optimizing the active rule set is the most direct solution to the described problem.
