Explanation:
All of the options provided can be used to optimize query performance. Option A can help in speeding up the query by utilizing more resources. Option B can reduce the query execution time by avoiding recomputation of intermediate results. Option C can significantly improve the performance by allowing faster access to the filtered data. Therefore, the correct approach would be to consider all these techniques to achieve the best performance.
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You are tasked with tuning a query in a big data environment to improve its performance. The query involves filtering a large dataset based on specific conditions. Which of the following techniques would you use to optimize the query performance?
A
Increase the parallelism of the query execution.
B
Use a caching mechanism to store intermediate results.
C
Implement indexing on the columns used in the filter conditions.
D
All of the above.