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Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 74 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 74
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

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.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by rralucard_ at Feb. 4, 2024, 9:05 a.m.
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rralucard_
Highly Voted 9 months, 1 week ago
Selected Answer: 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.
upvoted 7 times
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ssnei
Most Recent 2 weeks, 1 day ago
option B
upvoted 1 times
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4c78df0
5 months, 2 weeks ago
Selected Answer: B
B is correct
upvoted 1 times
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lucas_rfsb
7 months, 2 weeks ago
Selected Answer: B
I'd go in B
upvoted 1 times
...

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