DEA-C01 · Question #15
A company wants to implement real-time analytics capabilities. The company wants to use Amazon Kinesis Data Streams and Amazon Redshift to ingest and process streaming data at the rate of several giga
The correct answer is C. Create an external schema in Amazon Redshift to map the data from Kinesis Data Streams to an. https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-streaming-ingestion.html
Question
A company wants to implement real-time analytics capabilities. The company wants to use Amazon Kinesis Data Streams and Amazon Redshift to ingest and process streaming data at the rate of several gigabytes per second. The company wants to derive near real-time insights by using existing business intelligence (BI) and analytics tools. Which solution will meet these requirements with the LEAST operational overhead?
Options
- AUse Kinesis Data Streams to stage data in Amazon S3. Use the COPY command to load data
- BAccess the data from Kinesis Data Streams by using SQL queries. Create materialized views
- CCreate an external schema in Amazon Redshift to map the data from Kinesis Data Streams to an
- DConnect Kinesis Data Streams to Amazon Kinesis Data Firehose. Use Kinesis Data Firehose to
How the community answered
(37 responses)- A3% (1)
- B16% (6)
- C70% (26)
- D11% (4)
Explanation
https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-streaming-ingestion.html
Topics
Community Discussion
No community discussion yet for this question.