The Salesforce Certified Platform Developer 1 Exam (CRT-450)

Why a try/catch block is required:

In Salesforce, DML operations such as insert, update, delete, and upsert can throw exceptions due to issues like validation rule violations, field constraints, or sharing rule restrictions.

Using a try/catch block ensures that these exceptions are caught and handled gracefully, preventing the entire transaction from failing.

How to modify the code:

The update statement in the code can be wrapped in a try/catch block to catch and handle any exceptions that occur. For example:

apex

Copy code

public static void insertAccounts(List < Account > theseAccounts) {

try {

for (Account thisAccount : theseAccounts) {

if (thisAccount.website == null) {

thisAccount.website = ' https://www.demo.com ' ;

}

}

update theseAccounts;

} catch (DmlException e) {

System.debug( ' DML Exception: ' + e.getMessage());

}

}

Why not the other options?

A. Implement the upsert DML statement:

upsert is used to either insert or update records based on an external ID or primary key. It does not inherently handle exceptions.

B. Implement Change Data Capture:

Change Data Capture (CDC) is used for tracking changes to data in real time and is unrelated to handling DML exceptions.

D. Remove null items from the list of Accounts:

While cleaning the input data is a good practice, it does not address the need for exception handling during DML operations.

Option A: Thefire()method is used to publish Aura application events in the traditional publish-subscribe model.

Not Suitable:

Option B:sendEvent()is not a valid method for Aura events.

Option C:FireEvent()does not exist.

Option D:emit()is not part of the Aura event framework.

Aura Application Events

This method allows the developer to retrieve all available record types and identify the default record type for the current user by checking theisDefaultRecordTypeMapping()attribute.

Example:

Schema.DescribeSObjectResult describeResult = Opportunity.sObjectType.getDescribe();

for (Schema.RecordTypeInfo recordType : describeResult.getRecordTypeInfos()) {

if (recordType.isDefaultRecordTypeMapping()) {

System.debug( ' Default Record Type: ' + recordType.getName());

}

}

Schema.RecordTypeInfo Methods

A. Debug logs can be set for specific users, classes, and triggers:

Debug logs can be configured for users, classes, and triggers by setting trace flags.

C. Only the 20 most recent debug logs for a user are kept:

Salesforce retains only the 20 most recent debug logs per user. Older logs are overwritten.

E. The maximum size of a debug log is 5 MB:

Debug logs are capped at 5 MB. If this limit is exceeded, logging stops for that transaction.

Why Not B and D?

B: Debug logs are retained for7 days, not 24 hours.

D: Debug log levels are not cumulative. Each level is independent.

The variableisOKis declared but not initialized, so its value isnull. Theif-elseconditions check for specific values ofisOK(trueorfalse), but since it isnull, none of those conditions are satisfied. The program defaults to theelseblock, assigning4tox.

Comprehensive and Detailed Explanation From Exact Extract:

A (Correct):lightning-input-field is part ofLightning Data Service (LDS), and itautomatically enforces field-level security (FLS)and CRUD rules. This is thebest practicefor handling sensitive data in LWC forms and ensures compliance with user-level permissions.

Incorrect options:

B:force:inputField is used inAura, not in Lightning Web Components.

C/D:These are deprecated or older framework components that donotinherently enforce FLS.

Visual Studio Code (VS Code)is the recommended tool for Salesforce development. It supports the Salesforce Extensions Pack for debugging and fixing issues in Lightning Web Components (LWCs).

Not Suitable:

Option A: The Developer Console is less effective for LWC debugging.

Option B: The Force.com IDE is deprecated.

Option C:Execute Anonymousdoes not provide tools to debug or fix LWC bugs.

VS Code with Salesforce Extensions Pack

Validation Rule Violations:

Salesforce automatically throws exceptions for validation rule violations during DML operations.

< apex:messages > is used to display these errors to the user.

Why Not Other Options?

A: Controller attributes alone cannot handle validation messages.

B: A try/catch block does not address validation rule violations effectively.

D:Database.upsert()method is not related to validation error handling.

 Why Queueable?

Queueable Apex allows asynchronous processing, which can handle bulk updates efficiently without hitting governor limits.

The trigger enqueues the Queueable class to process the asset updates.

 Avoiding Limit Failures:

Moving logic to a Queueable class offloads resource-intensive operations to asynchronous processing.