DEA-C01 Question 287
Single answerA company uses Amazon Redshift as their data warehouse and wants to ensure efficient query performance for their analytics team. Recently, the team has noticed degraded performance for some queries involving large tables. As a data engineer, how can you resolve this issue while keeping costs minimal?
- A
Analyze the query execution plans and optimize table distribution styles.
- B
Increase the number of nodes in the Amazon Redshift cluster.
- C
Enable Amazon Redshift Spectrum to offload queries to Amazon S3.
- D
Migrate the workload to Amazon EMR for better scalability.
Show answer and explanation
Correct answer: A
Explanation
To address query performance issues in Amazon Redshift, analyzing query execution plans helps identify inefficiencies such as suboptimal distribution styles or missing sort keys. Optimizing these aspects ensures better data distribution and join performance, which can significantly improve query efficiency without additional costs. Adding nodes or migrating to a different service may provide performance improvements but involve higher costs or complexity.
- A. Correct.
Analyzing the query execution plans and optimizing table distribution styles can improve query performance by ensuring data is distributed and joined effectively within the cluster, without incurring additional costs.
- B. Incorrect.
Increasing the number of nodes in the cluster can improve performance but will increase costs, which the company wants to minimize.
- C. Incorrect.
Amazon Redshift Spectrum is useful for querying data directly in Amazon S3 but does not directly resolve performance issues within Redshift for queries involving large tables.
- D. Incorrect.
Migrating the workload to Amazon EMR is a significant architectural change and may not be necessary for resolving performance issues within Amazon Redshift.