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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 144 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 144
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

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?

  • 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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Suggested Answer: D 🗳️
by EJGisME at Sept. 5, 2024, 3:02 a.m.
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Tester_TKK
3 months, 4 weeks ago
Selected Answer: D
D. Use Amazon Redshift streaming ingestion from Kinesis Data Streams and to present data as a materialized view.
upvoted 1 times
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dashapetr
11 months, 2 weeks ago
Selected Answer: D
Amazon Redshift supports streaming ingestion from Amazon Kinesis Data Streams. The Amazon Redshift streaming ingestion feature provides low-latency, high-speed ingestion of streaming data from Amazon Kinesis Data Streams into an Amazon Redshift materialized view. Amazon Redshift streaming ingestion removes the need to stage data in Amazon S3before ingesting into Amazon Redshift. link: https://docs.aws.amazon.com/streams/latest/dev/using-other-services-redshift.html
upvoted 2 times
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EJGisME
11 months, 2 weeks ago
Selected Answer: D
D. Use Amazon Redshift streaming ingestion from Kinesis Data Streams and to present data as a materialized view.
upvoted 1 times
...
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