SF-Data-Arch Large Data Volume Considerations Practice Question
Which object type is most likely to cause performance issues in an LDV environment if not managed correctly?
⚠ Common exam trap
Candidates often assume that only 'large' objects cause issues. They fail to realize that objects with many lookup relationships create locking contention and join complexity that drastically slows down performance.
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
✓
An object with many lookup relationships to other parent objects.
Highly relational objects, especially those with many lookup relationships, are most prone to performance issues. Each lookup relationship can act as a locking point, and queries involving these fields often require complex joins. By understanding which objects are 'hot' in terms of frequency of access and relationship density, architects can prioritize them for indexing, archiving, and skinny table strategies to maintain system stability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A flat custom object with no relationships.
Why it's wrong here
Flat objects with no relationships are the easiest to manage in an LDV environment. Without complex lookups or parent-child dependencies, they are less likely to experience the locking issues associated with relational data, and their indexing requirements are generally straightforward, making them low-risk for LDV performance.
- ✓
An object with many lookup relationships to other parent objects.
Why this is correct
Objects with many lookup relationships are problematic because every record update might involve locking multiple parent records. This leads to severe contention during large data imports and complex queries. These objects require careful planning, such as implementing indexing and optimizing batch processes to minimize the locking overhead.
- ✗
An object containing only standard picklist fields.
Why it's wrong here
Picklist fields are generally efficient and do not cause performance issues on their own. Since they store simple values, they do not create the relational locking overhead associated with lookups. Objects consisting purely of picklists are typically low-risk unless the volume is so extreme that indexing becomes mandatory.
- ✗
A setup object maintained by the system administrator.
Why it's wrong here
Setup objects are managed by the platform and rarely reach the record counts that trigger LDV performance issues. They do not have the same locking and query challenges as business data objects, making them an unlikely candidate for performance bottlenecks in a standard Salesforce implementation environment.
About these practice questions
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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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