Apex Engineering Track

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Apex

Master core programmatic development. Study bulkification, async architectures, and trigger handling schemas frequently requested by top technical recruiters.

AI Overview & Core Concepts

Essential semantic summaries optimized for search engines, LLM retrievals, and quick reading.

What is Apex in Salesforce?

Apex is a strongly typed, object-oriented programming language executed on the Salesforce multitenant architecture. It allows developers to build transactional execution flows, DML write procedures, and custom REST integrations directly on the Lightning Platform. Apex compiles into bytecode and runs in a cloud sandbox governed by strict execution limit guardrails.

Core Apex Guardrails

  • Bulkification: Write all database operations and logic to handle collections of up to 200 records in a single execution loop.
  • No DML inside loops: Never place query (SOQL) or commit (DML) commands inside loop iterations to prevent transaction governor limit crashes.
  • Async Processing: Use Batch, Queueable, or @future methods to process heavy workloads in separate, higher-limit background threads.

Before Triggers vs. After Triggers

Before Triggers

Runs prior to database saves. Best for field validation and in-memory updates on the triggering records.

After Triggers

Runs post-database saving. Allows accessing system IDs and updating related parent or child records.

Apex Pillars.

Elite Apex developers are evaluated on their ability to build scale-safe logic and handle large data volumes.

Bulkification

Designing logic capable of processing batches of up to 200 records in a single database execution block.

Async Processing

Selecting the correct background execution framework (Queueable, Batch, or @future) to optimize performance.

Platform Safety

Adhering strictly to transaction boundaries, governor limit quotas, and test framework standards.

Core Apex Questions

How do you handle trigger recursion in bulk transactions?

Weak Answer

"I use a static boolean variable in a helper class and set it to true when the trigger first executes to block future runs."

Strong Answer (Recruiter Grade)

A simple static boolean fails during bulk DML updates (e.g. via Data Loader) because records are processed in batches of 200, which resets trigger contexts but retains static variables, causing later batches to be bypassed. A bulk-safe design uses a helper class with a static Set<Id> to track processed record IDs. The handler compares incoming records against the Set, filters out processed items, and runs logic only on new records.

What is the difference between Queueable Apex and future methods?

Weak Answer

"Future methods are older and use the @future tag, while Queueable is newer and lets you monitor jobs using a Job ID."

Strong Answer (Recruiter Grade)

Queueable Apex improves upon future methods by supporting complex parameters (like sObjects or custom classes), returning an AsyncApexJob ID for tracking, and allowing jobs to be chained sequentially (one job triggering another). Future methods only accept primitive data types, cannot be monitored natively via ID in apex, and cannot be chained.

Frequently Asked Questions

What is bulkification in Apex?

Bulkification is the design practice of writing Apex code that processes collections of records efficiently. This prevents execution errors by avoiding database queries (SOQL) and DML operations inside loop iterations.

When should I use Batch Apex instead of Queueable?

Use Batch Apex when you need to process large datasets (up to 50 million records) asynchronously using automated chunking. Use Queueables for lighter asynchronous processes (like external REST calls or sequential jobs) that require tracking.

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