Which solution will meet these requirements?
Ensure that queries contain whole records over the relevant time range.
Use time range, measure name, and dimensions in the WHERE clause of the query.
Avoid canceling any query after the query starts running.
Implement exponential backoff in the application.
Explanations:
Queries containing whole records may result in unnecessary retrieval of large amounts of data, leading to higher costs and slower performance. It is better to optimize queries to retrieve only the required data.
Using a time range, measure name, and dimensions in the WHERE clause will reduce the amount of data scanned by the query, thus optimizing query costs and improving performance.
Canceling a query does not directly affect cost optimization; it may even increase costs if the query has already begun scanning large datasets. Efficient query design is more effective for cost reduction.
Implementing exponential backoff is related to retrying failed requests, not to optimizing query costs. Query costs are better controlled through efficient query design.
From what I’ve heard, the answer is:
Use time range, measure name, and dimensions in the WHERE clause of the query.
I gauge that the answer is:
Use time range, measure name, and dimensions in the WHERE clause of the query.