SALESFORCE-PD1 Process Automation And Logic Practice Question
A developer has a Queueable Apex job that needs to query large volumes of data and perform updates. To optimize performance and avoid heap size limits, what is the best practice when querying records inside a Queueable Apex job?
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
✓
Implement the Database.Batchable interface instead of Queueable.
Querying records using a SOQL Query Locator inside a batch or leveraging iterable queries helps manage memory efficiently, but for Queueable jobs, querying using SOQL for loops or batching ids helps avoid heap limits.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Assign all queried records to a single global List variable in the class.
Why it's wrong here
Incorrect. Storing all records in a single list easily leads to heap size limit exceptions for large datasets.
- ✗
Set the method execution context to read-only using @ReadOnly.
Why it's wrong here
Incorrect. Queueable classes cannot be annotated with @ReadOnly.
- ✓
Implement the Database.Batchable interface instead of Queueable.
Why this is correct
Correct. While Batchable is better for massive datasets, SOQL for-loops are the correct tool within Queueable to manage heap size.
- ✓
Use a SOQL for-loop to iterate over query results chunk by chunk.
Why this is correct
Correct. SOQL for-loops process records in chunks of 200 using internal heap allocation, preventing heap size limits.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Salesforce exam blueprint
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