SF-PD2 Advanced Developer Fundamentals Practice Question
A developer is tasked with handling a large volume of external data updates in Salesforce. To ensure optimal performance and avoid governor limit issues, which bulk processing approach should be used?
⚠ Common exam trap
Candidates frequently suggest Queueable or @future for massive record volumes, ignoring that Batch Apex is specifically architected to handle millions of records cleanly.
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
✓
Batch Apex.
For high-volume operations, Batch Apex is the standard solution. It processes records in chunks, which allows for the handling of millions of records by resetting governor limits (like CPU time and heap size) between each batch. By breaking down a massive operation into smaller, manageable units, the developer ensures the process remains stable and doesn't time out or hit limits, which is the primary challenge in large data integrations.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Synchronous Apex with nested loops.
Why it's wrong here
Synchronous Apex is limited by a strict 10-minute CPU timeout and a hard limit on the number of records that can be processed. Using nested loops in a synchronous context for large datasets will almost certainly hit these limits, leading to transaction failure and potential data loss for the integration process.
- ✓
Batch Apex.
Why this is correct
Batch Apex is specifically designed for processing large datasets. It allows developers to define a chunk size (up to 2,000 records), and the governor limits are reset for each chunk. This makes it possible to process millions of records while staying within the platform's strict operational constraints for execution.
- ✗
Asynchronous Future methods.
Why it's wrong here
Future methods are limited by the number of methods that can be queued in a single transaction and the total number of future calls per 24-hour period. They are not suitable for high-volume record processing because they do not offer the chunking capability or the scale of Batch Apex.
- ✗
Custom REST API with synchronous processing.
Why it's wrong here
A REST API, if synchronous, will be subject to the same governor limits as any other synchronous Apex transaction. Without an asynchronous backing mechanism like Batch Apex or Queueable, the service will hit timeouts and CPU limits when exposed to high-volume traffic, making it ineffective for large-scale data updates.
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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-PD2 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-PD2 exam.