Table of Contents
Question
You are optimizing the performance of a Microsoft Dynamics 365 finance and operations apps implementation. The application is experiencing slow data retrieval operations when accessing large sets of records from the database.
You need to enhance the data access layer to improve query performance while minimizing the impact on existing code.
What should you do? Each correct answer presents a complete solution. Choose three.
Select all answers that apply.
A. Utilize the caching mechanism provided by the framework to reduce database round trips.
B. Increase the timeout settings for the database connection to allow longer running queries.
C. Implement query paging to retrieve data in manageable chunks rather than loading all records at once.
D. Retrieve all records into memory and filter the dataset programmatically.
E. Use a cursor-based approach to process each record individually for better precision.
F. Refactor the existing queries to use set-based operations instead of row-by-row processing.
Answer
A. Utilize the caching mechanism provided by the framework to reduce database round trips.
C. Implement query paging to retrieve data in manageable chunks rather than loading all records at once.
F. Refactor the existing queries to use set-based operations instead of row-by-row processing.
Explanation
Query paging is a technique that helps in managing large datasets by retrieving only a subset of records at a time, which can improve performance. Caching can significantly reduce the number of database calls by storing frequently accessed data in memory. Set-based operations are more efficient than row-by-row processing as they leverage the database’s ability to handle data in bulk. Increasing timeout settings does not improve performance and may lead to longer wait times for users. Retrieving all records into memory can cause out-of-memory exceptions and does not scale well. Cursor-based processing is less efficient than set-based operations and can lead to poor performance.
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