Apex Triggers

⚡ 1-Minute Summary: Governor limits act as a transaction budget shared across your code, flows, and packages. Strictly enforce one trigger per object . Keep logic out of the trigger itself and build a bypass switch on day one. Use Queueable as your default asynchronous tool. Avoid writing new @future methods.

💬 In plain words: Before-save updates in Salesforce are entirely free from a performance standpoint. Because the record is already open in memory, you are simply writing on it before it gets saved. After-save updates, however, force the system to re-open the record and run the entire save process all over again, essentially doubling your resource cost. The golden rule is simple: if you are changing the exact same record that triggered the flow, do it before the save. If you are updating related records, do it after the save.

If you’ve spent any time building automation in Salesforce, you’ve probably heard this Golden Rule: "Always update fields on the triggering record using a Before-Save Flow!" It sounds simple enough, but why is this rule so heavily emphasized? What actually happens under the hood when you update a record inside an After-Save Flow instead? Does Salesforce rewind everything back to Step 1? Let’s lift the hood on the Salesforce Order of Execution, break down what happens during a record update in plain English, and look at how to build faster, cleaner automation. The Basics: The Salesforce "Assembly Line" Whenever a user clicks Save on a record, Salesforce doesn't just write the data to a database and call it a day. It passes the record through a strict, multi-step assembly line called the Order of Execution . Here is a simplified look at what happens in order: Loads the record and applies your new field values....

💬 In plain words: When you press Save, Salesforce runs a fixed assembly line: checks → before automation → save → after automation → related updates → commit. Half of all tricky bugs are just two steps of this line writing the same field. Learn the line once and those bugs become obvious. 📌 Example: A validation rule demands Discount ≤ 20%. A workflow field update later sets Discount = 25% — and saves fine, because workflow runs AFTER validation. Users can't break the rule; your own automation just did. That's why order matters. 🎬 Real-Life Example: The Field That Kept Changing Itself Back A Flow sets Priority__c to High for same-day parcels. Yet saved records keep showing Normal. The admin swears the Flow runs. The developer swears the trigger works. Both are right. The Old/Bad Way: The before-save Flow sets High. Then a before trigger — written two years earlier — recalculates Priority and overwrites it. Nobody ...

In plain words: "Order of Execution" means two different things in Salesforce. On the server , it's the fixed checklist Salesforce follows every time a record is saved: when validation, Flows, triggers, and other automation run. In Lightning Web Components (LWC) , it's the timeline of a component's life: when it's created, added to the page, drawn, updated, and removed. Know both, and you'll always know where your logic belongs. Most automation bugs come down to timing. A field gets overwritten by something that ran later. A trigger fires twice. A component tries to use data before it loads, or an HTML element before it exists. This post covers both timelines: first the record save order, then the LWC order.

In plain words: Apex Triggers are scripts that execute before or after data is inserted, updated, or deleted in Salesforce. During a developer interview, hiring managers won't just ask you to define a trigger—they will give you real-world business scenarios and ask you exactly when and how you would code the solution. In the world of Salesforce development, Apex triggers are the backbone of backend automation. If you are preparing for a Salesforce Developer interview, you must be ready to talk through business requirements and translate them into scalable, bulkified code. Here are five common scenario-based trigger questions and how to answer them like a pro.

In plain words: Scenario-based Apex trigger interview questions assess whether a developer understands the Salesforce Order of Execution, how to write bulkified code that never exceeds governor limits, and when to use before vs. after events properly. During technical interviews for Salesforce Developer and Technical Architect roles, interviewers look beyond basic syntax. They present real-world scenarios to evaluate your understanding of bulkification, recursion management, governor limits, and clean trigger architecture. Below are three classic trigger scenarios with production-ready solutions.