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| Section | Weight | Objectives |
|---|---|---|
| Apex Programming | 18% | - Implement best practices for trigger logic - Design and implement integration patterns - Handle exceptions and implement error handling - Use asynchronous Apex (future methods, queueable, batch) - Write and execute Apex triggers |
| Integration | 14% | - Implement outbound messaging and callouts - Handle integration errors and retry logic - Use REST API and SOAP API in Apex - Implement OAuth 2.0 authentication flows - Use Named Credentials and External Data Sources |
| Performance | 12% | - Identify and resolve performance bottlenecks - Use caching mechanisms (Platform Cache, View State) - Optimize Apex and SOQL queries - Implement bulkify patterns |
| Salesforce Platform Fundamentals | 14% | - Understand Salesforce architecture and Governor Limits - Understand the order of execution - Use Process Builder and Flow appropriately - Implement sharing and access control |
| Testing and Debugging | 14% | - Use Developer Console and debugging tools - Analyze debug logs and resolve issues - Implement mock implementations for testing - Write Apex test classes with proper coverage |
| Data Modeling and Management | 14% | - Implement custom metadata and custom settings - Handle large data volumes with indexing and partitioning - Design complex data models with relationships - Use schema builder and relationship queries |
| Lightning Component Framework | 14% | - Debug Lightning component issues using browser developer tools - Use Lightning Data Service to perform CRUD operations - Implement inheritance using base components - Use @track decorator and reactive properties correctly - Use component events and application events appropriately |
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NEW QUESTION # 46
Recently a Salesforce org's integration failed because it exceeded the number of allowed API calls in a 24- hour period. The integration handles a near real-time, complex insertion of data into Salesforce.
The flow of data is as follows:
* The integration looks up Contact records with a given email address and, if found, the integration adds a Task to the first matching Contact it finds.
* If a match is not found, the integration looks up Lead records with a given email address and, if found, the integration adds a Task to the first matching Lead it finds.
* If a match is not found, the integration will create a Lead and a Task for that newly created Lead.
What is one way in which the integration can stay near real-time, but not exceed the number of allowed API calls in a 24-hour period?
Answer: C
Explanation:
Explanation
NEW QUESTION # 47
Exhibit:
What can be done to improve the performance of the insert trigger shown above?




Answer: C
NEW QUESTION # 48
A company uses Opportunism to track sales to their customers and their org has millions of Opportunities.
They want to begging to track revenue over time through a related Revenue object.
As part of their initial implementation, they want to perform a one-time seeding of their data by automatically creating and populating Revenue records for Opportunities, based on complex logic. They estimate that roughly 100,000 Opportunities will have revenue records and populated.
What is the optimal way to automate this?
Answer: C
NEW QUESTION # 49
When testing batch classes, what must a developer do? (Choose two.)
Answer: B,D
Explanation:
If you use "seeAllData=true," you are a bad person
NEW QUESTION # 50
A custom field Exec_Count_c of type Number is created on an Account object. An account record with value of
"1" for a: Exec_Count_c is saved. A workflow field update is defined on the Exec_Count_c field, to increment its value every time an account record is created or updated. The following trigger is defined on the account:
trigger ExecOrderTrigger on Account (before insert, before update, after insert, after update){ for (Account accountInstance: Trigger.New){ if (Trigger .
isBefore){ accountInstance Exec_Count_c += 1; } System. debug
(accountInstance.Exec_Count_c); } }
Answer: B
NEW QUESTION # 51
......
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