Topic 1 Question 204
A company uses a variety of AWS and third-party data stores. The company wants to consolidate all the data into a central data warehouse to perform analytics. Users need fast response times for analytics queries.
The company uses Amazon QuickSight in direct query mode to visualize the data. Users normally run queries during a few hours each day with unpredictable spikes.
Which solution will meet these requirements with the LEAST operational overhead?
Use Amazon Redshift Serverless to load all the data into Amazon Redshift managed storage (RMS).
Use Amazon Athena to load all the data into Amazon S3 in Apache Parquet format.
Use Amazon Redshift provisioned clusters to load all the data into Amazon Redshift managed storage (RMS).
Use Amazon Aurora PostgreSQL to load all the data into Aurora.
ユーザの投票
コメント(3)
- 正解だと思う選択肢: A
Serverless is for unpredictable loads
👍 17a1d4912024/12/15 - 正解だと思う選択肢: A
Redshift Serverless automatically scales resources up or down based on query workload. This eliminates the need for manual capacity provisioning and scaling, significantly reducing operational overhead.
👍 1ceaser2212025/01/11 - 正解だと思う選択肢: A
A so you don't have to bother with manual provisioning.
👍 1MerryLew2025/01/15
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