Apex backend optimization (FASHA)
TRAINING PROJECTOptimization of FASHA's Apex backend: refactoring, removal of DML in loops and batch improvements.
ApexOptimizationBatch
FASHA — Apex backend optimization
Client context
FASHA is a company whose Salesforce application suffers from slow batches, locking issues during concurrent updates and disorganized code.
Vivien, the SFQUAL lead, sends a developer on assignment to refactor and optimize the entire FASHA Apex backend.
Deliverables
- Link to the GitHub repository containing the optimized Apex classes (TXT)
Skills assessed
- Implement the improvements requested by the client
- Optimize backend resource usage
Jury result
- Decision
- ✅ Validated
- Strengths
- Good understanding of the assignment — Implementation of clear and relevant solutions
- Areas for improvement
- N/A