試験Data-Engineer-Associate トピック1 問題172 スレッド
Amazon Data-Engineer-Associateのリアル試験問題集
問題 #: 172
トピック #: 1
問題 #: 172
トピック #: 1
A company has an on-premises PostgreSQL database that contains customer data. The company wants to migrate the customer data to an Amazon Redshift data warehouse. The company has established a VPN connection between the on-premises database and AWS.
The on-premises database is continuously updated. The company must ensure that the data in Amazon Redshift is updated as quickly as possible.
Which solution will meet these requirements?
The on-premises database is continuously updated. The company must ensure that the data in Amazon Redshift is updated as quickly as possible.
Which solution will meet these requirements?
おすすめの解答:B 解答を投票する
Option B is the only solution that supports near real-time updates from a continuously changing source to Amazon Redshift. The requirement says the on-premises PostgreSQL database is "continuously updated" and the target must be updated "as quickly as possible." Nightly full backups or nightly full loads (Options A and D) inherently introduce at least a daily lag, which violates the freshness requirement. Similarly, exporting with pg_dump and reloading with COPY (Option C) is a batch approach and does not provide continuous change propagation.
The study material explicitly positions AWS Database Migration Service (DMS) for database migrations and highlights that it supports both full-load and change data capture (CDC), and that CDC enables continuous replication so ongoing changes can be applied after the initial load.
Therefore, a DMS task configured for full load + CDC provides the fastest ongoing synchronization pattern: it performs the initial migration and then continuously captures and applies changes so Redshift stays current with minimal delay compared to periodic batch reloads.
The study material explicitly positions AWS Database Migration Service (DMS) for database migrations and highlights that it supports both full-load and change data capture (CDC), and that CDC enables continuous replication so ongoing changes can be applied after the initial load.
Therefore, a DMS task configured for full load + CDC provides the fastest ongoing synchronization pattern: it performs the initial migration and then continuously captures and applies changes so Redshift stays current with minimal delay compared to periodic batch reloads.
华月** 2026-04-22 07:57:47
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