SF-PD2 Advanced Developer Fundamentals Practice Question
A developer needs to execute a large number of updates to records that might trigger complex process automation. Which approach minimizes the risk of hitting governor limits?
⚠ Common exam trap
Candidates regularly default to traditional @future methods for heavy automation, ignoring the lack of chainability and lower flexibility compared to Queueable.
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
✓
Implementing the Queueable interface.
The Queueable interface is the preferred method for asynchronous processing. It allows chaining jobs, provides a larger governor limit, and is more robust than the older @future method. By offloading the DML operations to a queueable job, the developer ensures that the primary transaction completes quickly, while the heavy processing happens in a separate, isolated, and more permissive context.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Using the @future annotation for each record update.
Why it's wrong here
Using @future for individual updates is highly inefficient and will hit the limit on the number of asynchronous requests allowed per 24-hour period. It also makes it difficult to manage dependencies between jobs and offers no mechanism for job chaining, unlike the more modern Queueable interface.
- ✓
Implementing the Queueable interface.
Why this is correct
Queueable Apex is the modern standard for asynchronous work. It allows for complex logic, supports stateful variables, and enables job chaining (calling one job from another). This makes it vastly more flexible and scalable than older patterns, while also providing a higher governor limit for processing large volumes of data.
- ✗
Using Database.executeBatch with a scope of 1.
Why it's wrong here
A scope of 1 is extremely inefficient. While Batch Apex is good for huge datasets, using a tiny scope size increases the total number of transactions significantly, which wastes system resources. Queueable Apex is generally better for dynamic, smaller-to-medium-sized asynchronous tasks that don't require the full Batch processing lifecycle.
- ✗
Wrapping all updates in a single @ReadOnly transaction.
Why it's wrong here
@ReadOnly is used to increase the SOQL limit for read-only operations. It does not allow DML operations to be performed. Attempting to execute DML in a read-only context will cause a runtime exception, as the primary goal of this annotation is to strictly enforce read-only database interactions.
About these practice questions
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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.