Using a getter with the @track decorator (or using @track on a field) is the correct reactive pattern in LWC. When the tracked property’s value changes, the framework automatically re-renders the component. connectedCallback runs once on insertion, renderedCallback runs after every render (not efficient for data reactions), and @wire is for getting data from an Apex method or a Lightning Data Service object, not for general property reactivity.

The ‘with sharing’ keyword enforces the running user’s record-level sharing rules (sharing model, role hierarchy, teams, manual sharing). It does NOT enforce object-level permissions (like Create, Read) or field-level permissions (like FLS). Those are controlled by the user’s profile and permission sets. The statement is therefore only partially correct.

This is a classic recursive trigger scenario. A trigger on Order Line Item (or a process/workflow) updates the parent Order record. The update to Order causes its roll-up summary field to recalculate, which is considered an update to the Order. If there is a trigger or process on Order that then updates Order Line Items again, an infinite loop occurs. The standard solution is to ensure no automation on the parent (Order) performs updates back to the children in a way that re-fires the child automation. Using a static variable (option A) is for preventing re-entry within the *same* trigger context, not for cross-object recursion.

Validation rules that reference related objects (using a formula like OR(NOT(ISBLANK(Related_Quotes__r.Id)), PRIORVALUE(StageName) != ‘Closed Won’)) execute for each record in the transaction. In a bulk update of 50 Opportunities, the platform would need to execute up to 50 separate queries to check the related Quotes for each record, which can easily hit governor limits (like the 101 SOQL query limit). This causes the entire batch to fail. The solution is to move this logic to an Apex trigger, which can bulkify the query for all Opportunities in the batch and efficiently check the related Quotes.

Lightning Data Service (LDS) is the framework-provided service for loading, creating, updating, and deleting records with built-in security (sharing and FLS), caching, and offline support. Using force:hasRecordId to get the context record ID and wiring the data via LDS (e.g., getRecord or getRecordUi) is the most declarative, secure, and performant approach. It avoids writing any Apex code for basic read operations. Option A works but is less declarative and doesn’t benefit from LDS’s client-side cache. Option C is overly complex, and Option D mixes APIs unnecessarily.

While this configuration might work logically, it is inefficient from a governor limit perspective. Each automation (Process Builder and Flow) operates in its own execution context. If both perform a DML update on the same record within the same transaction, they are consuming separate DML statements. In a bulk operation, this can double the DML count unnecessarily, risking hitting the 150 DML statement limit. The best practice is to consolidate automation logic where possible to be more efficient with limited resources.

The single email invocation limit is 10. Calling `Messaging.sendEmail()` in a per-record trigger context for 10,000 records would immediately fail. The correct mitigation is to bulkify the email operation. Collect all email messages (Messaging.SingleEmailMessage objects) in a list throughout the trigger execution (for all records in the batch). Then, outside the loop, call `Messaging.sendEmail()` once with the complete list. This respects the limit of 100 emails per single invocation in Apex (or 5000 for mass email).

The primary purpose of a unit test is to verify the correctness of code. While coverage measures which lines are executed, assertions verify that the executed logic produces the expected result. A good test method defines pre-conditions (test data), executes the functionality, and then uses System.assert() methods to validate post-conditions (e.g., a record was inserted, a field was updated correctly, an error was thrown). Tests without assertions only prove the code doesn’t crash, not that it works.

Named Credentials are the Salesforce best practice for storing external service authentication details. They allow you to store the endpoint URL and authentication details (like a username/password, certificate, or OAuth configuration) securely in the platform. When making a callout, you reference the Named Credential name, and Salesforce handles adding the appropriate headers (like the API key). This avoids storing secrets in code or custom settings, centralizes management, and enhances security. Custom Metadata Types (option C) are for application configuration, not typically for secrets. Hard-coding (A) is a severe security anti-pattern.

Using a getter with the @track decorator (or using @track on a field) is the correct reactive pattern in LWC. When the tracked property’s value changes, the framework automatically re-renders the component. connectedCallback runs once on insertion, renderedCallback runs after every render (not efficient for data reactions), and @wire is for getting data from an Apex method or a Lightning Data Service object, not for general property reactivity.0