Explanation:
Amazon Redshift Streaming Ingestion allows for the direct ingestion of data from Amazon Kinesis Data Streams into Redshift. This provides low-latency, near real-time analytics by bypassing the need to stage data in Amazon S3, meeting the requirements with the least operational overhead.
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Question 44 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?
A
Load data into Amazon Kinesis Data Firehose. Load the data into Amazon Redshift.
B
Use the streaming ingestion feature of Amazon Redshift.
C
Load the data into Amazon S3. Use the COPY command to load the data into Amazon Redshift.
D
Use the Amazon Aurora zero-ETL integration with Amazon Redshift.
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