Topic 1 Question 7
A financial services company stores financial data in Amazon Redshift. A data engineer wants to run real-time queries on the financial data to support a web-based trading application. The data engineer wants to run the queries from within the trading application. Which solution will meet these requirements with the LEAST operational overhead?
Establish WebSocket connections to Amazon Redshift.
Use the Amazon Redshift Data API.
Set up Java Database Connectivity (JDBC) connections to Amazon Redshift.
Store frequently accessed data in Amazon S3. Use Amazon S3 Select to run the queries.
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コメント(9)
- 正解だと思う選択肢: B
Real time queries with S3 are obviously BS. B it is:
https://docs.aws.amazon.com/redshift/latest/mgmt/data-api.html
👍 4milofficial2024/01/18 B. Use the Amazon Redshift Data API.
Explanation: The Amazon Redshift Data API is a lightweight, HTTPS-based API that provides an alternative to using JDBC or ODBC drivers for running queries against Amazon Redshift. It allows you to execute SQL queries directly from within your application without the need for managing connections or drivers. This reduces operational overhead as there's no need to manage and maintain WebSocket or JDBC connections.
👍 4TonyStark01222024/02/01- 正解だと思う選択肢: B
Even if you don't know nothing about them, you will still choose B because it seems the "LEAST operational overhead" :)
👍 3GiorgioGss2024/03/11
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