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| Section | Weight | Objectives |
|---|---|---|
| Salesforce Platform Fundamentals | 14% | - Implement sharing and access control - Understand the order of execution - Understand Salesforce architecture and Governor Limits - Use Process Builder and Flow appropriately |
| Apex Programming | 18% | - Implement best practices for trigger logic - Use asynchronous Apex (future methods, queueable, batch) - Write and execute Apex triggers - Design and implement integration patterns - Handle exceptions and implement error handling |
| Lightning Component Framework | 14% | - Implement inheritance using base components - Use component events and application events appropriately - Debug Lightning component issues using browser developer tools - Use Lightning Data Service to perform CRUD operations - Use @track decorator and reactive properties correctly |
| Testing and Debugging | 14% | - Implement mock implementations for testing - Write Apex test classes with proper coverage - Use Developer Console and debugging tools - Analyze debug logs and resolve issues |
| Data Modeling and Management | 14% | - Implement custom metadata and custom settings - Design complex data models with relationships - Use schema builder and relationship queries - Handle large data volumes with indexing and partitioning |
| Integration | 14% | - Implement OAuth 2.0 authentication flows - Use Named Credentials and External Data Sources - Use REST API and SOAP API in Apex - Implement outbound messaging and callouts - Handle integration errors and retry logic |
| Performance | 12% | - Use caching mechanisms (Platform Cache, View State) - Optimize Apex and SOQL queries - Implement bulkify patterns - Identify and resolve performance bottlenecks |
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NEW QUESTION # 149
The REST API __________.
Answer: D
Explanation:
Explanation/Reference:
NEW QUESTION # 150
The CalloutUtil.makeRestCallout fails with a 'You have uncommitted work pending. Please commit or rollback before calling out' error. What should be done to address the problem?
Java
public void updateAndMakeCallout(Map<Id, Request__c> regs, Map<Id, Request_Line__c> regLines) { Savepoint sp = Database.setSavepoint(); try { insert regs.values(); insert regLines.values(); HttpResponse response = CalloutUtil.makeRestCallout(regs.keySet(), regLines.keySet());
} catch (Exception e) {
Database.rollback(sp);
}
}
Answer: C
Explanation:
Salesforce has a strict rule: You cannot perform a synchronous web service callout after performing a DML operation in the same transaction. In the provided code, the insert operations (DML) occur first, creating "uncommitted work" in the database. When the code then tries to execute makeRestCallout, the platform throws the error to prevent a long-running callout from holding database locks open.
To resolve this, the callout must be moved to its own separate transaction. The most straightforward way to do this is to change the callout method to an @future(callout=true) method (Option B). When an @future method is called, the request is queued and executed in a new, independent transaction with its own governor limits. This decouples the database "work" from the external "callout." Option A is incorrect because simply moving the line doesn't change the transaction context. Option C (removing savepoints) doesn't help because the DML itself is the blocker. Option D (@InvocableMethod) is used for Flow/Process Builder and doesn't inherently solve the transaction boundary issue. Using an @future method (or a Queueable class) is the standard platform-aligned solution for this error.
NEW QUESTION # 151
A customer has a single Visualforce page that allows each user to input up to 1500 sales forecasts and instantly view pivoted forecast calculations. Users are complaining that the page is loading slowly, and they are seeing error messages regarding heap and view state limits. What are three recommendations to optimize page performance?
Answer: A,B,D
NEW QUESTION # 152
A Salesforce org has more than 50,000 contacts. A new business process requires a calculation that aggregates data from all of these contact records. This calculation needs to run once a day after business hours.
which two steps should a developer take to accomplish this?
Choose 2 answers
Answer: A,D
Explanation:
When dealing with large datasets and the need to perform complex calculations or data aggregation, batch Apex and scheduling are typically used to efficiently process records in batches and to execute the process during off-peak hours.
* Option B is correct because using the @future annotation allows you to run methods in the background, but it is not suitable for operations that need to process more than 50,000 records, which is the governor limit for future methods.
* Option C is correct because implementing the Schedulable interface allows you to schedule the class to run at specified times, such as after business hours, which is a requirement for this scenario.
* Option A is incorrect because Queueable is typically used for chaining jobs and handling asynchronous processing of individual transactions, not for processing large datasets at scheduled times.
* Option D is incorrect because the Database.Batchable interface is what's needed for processing large datasets, not Database.Stateful. The Database.Stateful interface is used to maintain state across batch job transactions.
References:
Salesforce Developer Documentation on Using Batch Apex: Using Batch Apex Salesforce Developer Documentation on Scheduling Apex: Scheduling Apex
NEW QUESTION # 153
A large company uses Salesforce across several departments. Each department has its own Salesforce Administrator. It was agreed that each Administrator would have their own sandbox in which to test changes.
Recently, users notice that fields that were recently added for one department suddenly disappear without warning. Also, Workflows that once sent emails and created tasks no longer do so.
Which two statements are true regarding these issues and resolution? (Choose two.)
Answer: B,D
NEW QUESTION # 154
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