Here are the Salesforce Triggers Interview Questions (Basic to Advanced – 2026)
A Trigger is Apex code that executes automatically before or after DML operations like insert, update, delete, or undelete. It allows developers to implement custom business logic. Triggers run in real time within the Salesforce transaction.
There are two main types: Before Triggers and After Triggers. Before triggers are used to update or validate records before saving. After triggers are used to access record IDs and perform related record operations.
Before triggers run before records are committed to the database and are mainly used for validation and field updates. After triggers run after records are saved and are used for related object operations and integrations.
Trigger events include before insert, before update, before delete, after insert, after update, after delete, and after undelete. These define when the trigger logic executes.
Trigger.new contains the new version of records during insert and update operations. Trigger.old contains the old record values before update or delete. Trigger.old is not available in insert triggers.
These are context variables that return true if the trigger is running for that specific event. They help write conditional logic within a single trigger.
Context variables are system-provided variables like Trigger.new, Trigger.oldMap, and Trigger.isBefore. They provide information about the trigger execution environment.
Yes, a future method can be called from a trigger to perform asynchronous processing. This is useful for callouts and heavy operations that should not block the transaction.
Governor limits are runtime limits enforced by Salesforce to ensure fair resource usage in multi-tenant architecture. Examples include SOQL limits, DML limits, and CPU time limits.
A bulk trigger processes multiple records at once instead of a single record. It avoids SOQL or DML inside loops and handles collections efficiently.
Use collections like Lists, Sets, and Maps. Avoid SOQL and DML inside loops. Always design the trigger to handle up to 200 records in a single transaction.
SOQL inside loops can exceed governor limits if many records are processed. Instead, query data once outside the loop using Sets and Maps.
Recursion occurs when a trigger updates a record that causes the same trigger to fire again. It can be prevented using static Boolean flags or framework-based control logic.
Trigger.newMap stores new record versions in Map format during update/insert. Trigger.oldMap stores old record versions during update/delete for comparison.
No, we cannot directly modify records in after triggers. Instead, we need to perform a separate DML operation if changes are required.
Best practice is to follow the One Trigger per Object pattern. Use a trigger framework to control execution order and maintain clean architecture.
A Trigger framework is a structured design pattern that separates logic into handler classes. It improves maintainability, scalability, and reusability.
Create test data, perform DML operations, and use assertions to validate results. Ensure at least 75% code coverage and test both positive and negative scenarios.
Static variables help control recursion and maintain state during a transaction. They ensure trigger logic runs only once per transaction if needed.
Use try-catch blocks and addError() method for validation errors. Proper exception handling prevents transaction failures.
This pattern ensures only one trigger exists per object. All logic is delegated to handler classes for better structure and control.
Salesforce does not guarantee trigger order. Use a trigger framework or single trigger design to manage execution sequence.
Use Maps to collect related record IDs and perform bulk DML operations. Ensure logic is optimized to avoid recursion.
Use static flags or custom settings to control execution. Ensure update logic checks whether changes are actually required before DML.
Asynchronous Apex like Future, Queueable, or Batch Apex helps handle heavy processing or callouts without hitting limits.
Optimize SOQL queries, use selective filters, and avoid unnecessary DML. Use Batch Apex for processing large datasets.
Platform Event triggers execute when an event message is received. They support event-driven architecture and asynchronous processing.
Follow best practices like bulkification, handler classes, and modular design. Avoid hardcoding and ensure limit-safe logic.
Use one trigger per object, bulk-safe code, selective queries, async processing, and proper test coverage. Follow clean code principles.
AI tools assist in writing optimized code and detecting limit risks. However, strong logic design and architecture skills are still essential for scalable solutions.
AI-driven automation is changing Apex Triggers by shifting simple logic to Flow and Einstein, while triggers handle complex, scalable backend processing.
Platform Events should be used when you need asynchronous, event-driven, and loosely coupled system communication instead of direct DML-based triggers.
Trigger optimization for high-volume data requires bulk-safe design, selective SOQL, indexed fields, and async processing like Queueable or Batch Apex.
A scalable One-Trigger-Per-Object framework uses a single trigger with handler classes to control execution order and maintain clean architecture.
Security in Apex Triggers is enforced by implementing CRUD/FLS checks, respecting sharing rules, and avoiding unauthorized data access.
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