DBS-C01 · Question #224
A manufacturing company has an. inventory system that stores information in an Amazon Aurora MySQL DB cluster. The database tables are partitioned. The database size has grown to 3 TB. Users run…
The correct answer is B. Enable hash joins on the database by setting the variable optimizer_switch to hash_join=on. https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.BestPractices
Question
A manufacturing company has an. inventory system that stores information in an Amazon Aurora MySQL DB cluster. The database tables are partitioned. The database size has grown to 3 TB. Users run one-time queries by using a SQL client. Queries that use an equijoin to join large tables are taking a long time to run. Which action will improve query performance with the LEAST operational effort?
Options
- AMigrate the database to a new Amazon Redshift data warehouse.
- BEnable hash joins on the database by setting the variable optimizer_switch to hash_join=on.
- CTake a snapshot of the DB cluster. Create a new DB instance by using the snapshot, and enable
- DAdd an Aurora read replica.
How the community answered
(27 responses)- A7% (2)
- B74% (20)
- C4% (1)
- D15% (4)
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.BestPractices
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