A technology company currently uses Amazon Kinesis Data Streams to collect log data in real time. The company wants to use Amazon Redshift for downstream real-time queries and to enrich the log data. Which solution will ingest data into Amazon Redshift with the LEAST operational overhead?

Topic #: - All AWS Certified Data Engineer - Associate DEA-C01 Questions

A. Set up an Amazon Kinesis Data Firehose delivery stream to send data to a Redshift provisioned cluster table.
B. Set up an Amazon Kinesis Data Firehose delivery stream to send data to Amazon S3. Configure a Redshift provisioned cluster to load data every minute.
C. Configure Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) to send data directly to a Redshift provisioned cluster table.
D. Use Amazon Redshift streaming ingestion from Kinesis Data Streams and to present data as a materialized view.

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A technology company currently uses Amazon Kinesis Data Streams to collect log data in real time. The company wants to use Amazon Redshift for downstream real-time queries and to enrich the log data. Which solution will ingest data into Amazon Redshift with the LEAST operational overhead?

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