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NEW QUESTION # 127
Universal Containers has developed custom Apex code and Lightning Components in a Sandbox environment. They need to deploy the code and associated configurations to the Production environment.
What is the recommended process for deploying the code and configurations to Production?
Answer: C
Explanation:
The recommended process for deploying code and configurations from a Sandbox to Production is to use a change set.
Option C: Use a change set to deploy the Apex code and Lightning Components.
Reference:
"Change sets contain information about the org customizations you want to deploy and the org to which you want to deploy them."
- Salesforce Help: Change Sets
Why Other Options Are Less Preferred:
Option A: The Force.com IDE has been retired and is no longer the recommended tool.
Option B: The Ant Migration Tool is useful but requires more setup and is typically used for complex deployments or CI/CD processes.
Option D: Salesforce CLI is powerful but may not be necessary for straightforward deployments between connected orgs.
NEW QUESTION # 128
Which statement should be used to allow some of the records in a list of records to be inserted if others fail to be inserted?
Answer: A
Explanation:
Database.insert(records, false):
The Database.insert() method with the allOrNone parameter set to false allows for partial success.
If some records in the list fail due to validation rules, triggers, or other errors, the method will still attempt to insert the remaining valid records.
The false parameter ensures that records that fail will not roll back the transaction for the others.
Why not the other options?
A . Database.insert(records, true):
The true parameter makes the operation transactional (all or none). If any record fails, all records will roll back.
B . insert records:
The insert DML statement behaves like Database.insert(records, true) by default and rolls back all records if any error occurs.
C . insert(records, false):
This syntax is invalid in Apex.
Reference:
Apex DML Operations Documentation
Database Methods
NEW QUESTION # 129
A developer wants to display all of the picklist entries for the Opportunity StageName field and all of the available record types for the Opportunity object on a Visualforce page. Which two actions should the developer perform to get the available picklist values and record types in the controller? Choose 2 answers.
Answer: A,B
NEW QUESTION # 130
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?
Answer: A
Explanation:
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);
Reference:
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.
NEW QUESTION # 131
A developer must create a Lightning component that allows users to input Contact record information to create a Contact record, including a Salary c custom field.
What should the developer use, along with a lightning-record-edit-form, so that Salary__c field functions as a currency input and is only viewable and editable by users that have the correct field level permissions on Salary _c?
Answer: B
NEW QUESTION # 132
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