A developer created these three Rollup Summary fields in the custom object, project_ c:
The developer is asked to create a new field that shows the ratio between rejected and approved timesheets for a given project.
Which should the developer use to implement the business requirement in order to minimize maintenance overhead?
Considering the following code snippet:
When the code executes, a DML exception is thrown.
How should a developer modify the code to ensure exceptions are handled gracefully?
Understanding the Issue:
The provided code attempts to update a list of Account records:
public static void insertAccounts(List<Account> theseAccounts) {
for(Account thisAccount : theseAccounts) {
if(thisAccount.website == null) {
thisAccount.website = 'https://www.demo.com';
}
}
update theseAccounts;
}
Problem: A DML exception is thrown when the update statement executes.
Possible Causes:
Some records in theseAccounts may have validation rule failures.
There may be null records within the theseAccounts list.
There could be fields that violate data integrity constraints.
Option Analysis:
Option A: Implement Change Data Capture
Modified Code:
public static void insertAccounts(List<Account> theseAccounts) {
for(Account thisAccount : theseAccounts) {
if(thisAccount.website == null) {
thisAccount.website = 'https://www.demo.com';
}
}
try {
update theseAccounts;
} catch (DmlException e) {
// Handle exception, e.g., log error or process partial successes
System.debug('A DML exception occurred: ' + e.getMessage());
}
}
Modified Code:
theseAccounts.removeAll(null);
Why Not Suitable: CDC is unrelated to handling exceptions in Apex code. It does not help in gracefully handling DML exceptions.
Option B: Implement a try/catch block for the DML
Apex Developer Guide - Exception Handling
Apex Developer Guide - DmlException Class
Why Suitable:
Graceful Handling: By catching the DmlException, the code can handle the error without abruptly terminating the execution.
Logging and Recovery: Allows the developer to log the exception details and potentially implement recovery logic.
Option C: Implement the upsert DML statement
Why Not Suitable:
The issue is not about distinguishing between insert or update operations.
Using upsert does not inherently handle exceptions; DML exceptions can still occur.
It does not address handling exceptions gracefully.
Option D: Remove null items from the list of Accounts
Why Partially Suitable:
If null records are causing issues, removing them can prevent exceptions.
However, the question specifies a DML exception, not a NullPointerException.
Removing null items does not handle other potential DML exceptions (e.g., validation rule failures).
Conclusion:
Best Solution: Option B is the most appropriate choice.
Wrapping the DML statement in a try/catch block ensures that any exceptions thrown during the DML operation are caught and can be handled gracefully.
This approach aligns with best practices for exception handling in Apex.
Additional Recommendation:
Using Database.update with allOrNone=false:
Database.SaveResult[] results = Database.update(theseAccounts, false);
for (Database.SaveResult sr : results) {
if (!sr.isSuccess()) {
// Handle individual record failure
System.debug('Error updating record: ' + sr.getErrors()[0].getMessage());
}
}
Benefit: Allows partial success processing, handling errors at the record level.
A developer deployed a trigger to update the status__c of Assets related to an Account when the Account's status changes and a nightly integration that updates Accounts in bulk has started to fail with limit failures.
What should the developer change about the code to address the failure while still having the code update all of the Assets correctly?
What should a developer use to obtain the Id and Name of all the Leads, Accounts, and Contacts that have the company name "Universal Containers"?
A)
B)
C)
D)
Universal Containers wants to assess the advantages of declarative development versus programmatic customization for specific use cases in its Salesforce implementation.
What are two characteristics of declarative development over programmatic customization?
Choose 2 answers
Declarative Development refers to building applications using Salesforce's point-and-click tools without writing code. It has several characteristics:
Option C: Declarative development does not require Apex test classes.
True.
Declarative tools like Flows, Process Builder, and Validation Rules do not require Apex test classes because they are configured via the UI and not through code.
Option D: Declarative development can be done using the Setup menu.
True.
Declarative development is performed within the Setup menu in Salesforce, where administrators and developers can create objects, fields, automation, and more using point-and-click tools.
Options Not Applicable:
Option A: Declarative code logic does not require maintenance or review.
False.
Even declarative logic requires maintenance, especially when business requirements change.
Regular review is necessary to ensure that automation processes continue to meet organizational needs.
Option B: Declarative development has higher design limits and query limits.
False.
Declarative processes have limits, and sometimes programmatic solutions can handle larger data volumes or more complex processing.
For example, Apex can handle more records in a loop than a Flow.
Conclusion:
The characteristics of declarative development over programmatic customization are C and D.
