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A. Use SOQL aggregate queries to retrieve child records
Explanation: SOQL aggregate queries can help in reducing the number of queries by aggregating data in a single query, which can be more efficient and reduce the overall number of SOQL queries.
Conclusion: This is a valid technique. Aggregate queries can help in reducing the number of SOQL queries executed and thus help in avoiding hitting the governor limits.
B. Use the database class to handle DML operations
Explanation: Using the Database class with methods like Database.insert, Database.update, etc., allows for fine-grained control over DML operations, including the ability to perform partial operations and handle errors more gracefully with the allOrNone parameter. However, this alone does not reduce the number of DML statements executed.
Conclusion: While useful for handling DML operations, it does not directly help with reducing governor limits related to SOQL queries or the number of DML statements.
C. Use maps to reference related records
Explanation: Using maps to store and reference related records can significantly reduce the number of SOQL queries needed to fetch related data. By querying related data once and storing it in a map, you can avoid repeated queries in loops.
Conclusion: This is a valid technique. Using maps to reference related records can help reduce the number of SOQL queries, which can prevent exceeding the governor limits.
D. Use lists for all DML operations
Explanation: Performing DML operations in bulk using lists instead of single DML statements helps in reducing the number of DML statements and ensuring efficient use of resources. Bulk DML operations are a key practice in optimizing Apex code.
Conclusion: This is a valid technique. Using lists for DML operations helps in performing bulk operations, reducing the total number of DML statements executed, and thus helping to avoid hitting governor limits.
Conclusion
The two techniques that should be used to resolve the problem o...
No, C and D are correct
B and C are correct