Topic 1 Question 74
A healthcare company uses Amazon Kinesis Data Streams to stream real-time health data from wearable devices, hospital equipment, and patient records. A data engineer needs to find a solution to process the streaming data. The data engineer needs to store the data in an Amazon Redshift Serverless warehouse. The solution must support near real-time analytics of the streaming data and the previous day's data. Which solution will meet these requirements with the LEAST operational overhead?
Load data into Amazon Kinesis Data Firehose. Load the data into Amazon Redshift.
Use the streaming ingestion feature of Amazon Redshift.
Load the data into Amazon S3. Use the COPY command to load the data into Amazon Redshift.
Use the Amazon Aurora zero-ETL integration with Amazon Redshift.
ユーザの投票
コメント(4)
- 正解だと思う選択肢: B
https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-streaming-ingestion.html Use the Streaming Ingestion Feature of Amazon Redshift: Amazon Redshift recently introduced streaming data ingestion, allowing Redshift to consume data directly from Kinesis Data Streams in near real-time. This feature simplifies the architecture by eliminating the need for intermediate steps or services, and it is specifically designed to support near real-time analytics. The operational overhead is minimal since the feature is integrated within Redshift.
👍 7rralucard_2024/02/04 - 正解だと思う選択肢: B
I'd go in B
👍 1lucas_rfsb2024/04/02 - 正解だと思う選択肢: B
B is correct
👍 14c78df02024/05/27
シャッフルモード