Review

Now, let's practice with a few exam-style questions:

1. A company uses Amazon Redshift for its data warehousing needs. ETL jobs run every night to load data, apply business rules, and create aggregate tables for reporting purposes. The company's data analysis, data science, and business intelligence teams use the data warehouse during regular business hours. Workload management is set to auto, and separate queues exist for each team with the priority set to NORMAL. Recently, a sudden spike of read queries from the data analysis team has occurred at least twice a day, and queries wait in line for cluster resources. The company needs a solution that enables the data analysis team to avoid query queuing without impacting latency and the query times of other teams.

Which solution meets these requirements?

1. Increase the query priority to HIGHEST for the data analysis queue.
2. Configure the data analysis queue to enable concurrency scaling.
3. Create...