SF-Data-Arch Data Migration Practice Question
A data architect is migrating 50 million records into a custom object. To ensure optimal performance and avoid hitting governor limits, which strategy should be implemented during the initial data load?
⚠ Common exam trap
Candidates often forget to disable automation. They attempt to load 50 million records while triggers and validation rules are active, causing massive performance bottlenecks and hitting governor limits almost immediately.
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
✓
Leverage Bulk API 2.0 and disable non-essential automation, triggers, and validation rules.
Utilizing the Bulk API 2.0 with serial mode for initial loads minimizes contention on shared resources and prevents record locking errors during high-volume inserts. Designing around index selectivity and disabling unnecessary automation like workflow rules or triggers before loading is crucial for performance. This approach ensures data integrity while drastically reducing the time required to complete the migration compared to standard synchronous API methods.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable all existing triggers and validation rules to ensure data quality immediately upon insertion.
Why it's wrong here
Enabling triggers and validation rules during a mass data load significantly slows down processing and consumes excessive CPU time. Each record must execute the logic, leading to potential governor limit exceptions. These should be disabled or bypassed until the bulk load is completed to maintain high system throughput.
- ✗
Use the SOAP API to perform synchronous inserts for real-time validation feedback.
Why it's wrong here
The SOAP API is designed for small, transactional updates rather than massive data migrations. Using it for millions of records is inefficient, prone to timeouts, and fails to leverage the parallel processing capabilities provided by the Bulk API, resulting in a much longer migration window and potential operational failure.
- ✓
Leverage Bulk API 2.0 and disable non-essential automation, triggers, and validation rules.
Why this is correct
Bulk API 2.0 is designed specifically for large data sets, providing efficient background processing. Disabling triggers and complex validation rules prevents unnecessary processing overhead, reduces CPU consumption, and avoids record locking. This is the industry-standard approach for large-scale data migrations to ensure stability and maximum performance throughout the load process.
- ✗
Increase the batch size to the maximum allowed limit for standard REST API calls.
Why it's wrong here
Standard REST API calls are not intended for heavy, high-volume data loads and have strict payload size limitations. Even if batch sizes are increased, the lack of asynchronous queuing will cause the connection to time out, and it will not provide the architectural benefits of dedicated bulk migration tools.
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.