AWS Certified Data Engineer Associate DEA-C01 Practice Question
A company stores its e-commerce transactions in an Amazon Aurora PostgreSQL database. Analysts run near-real-time reports from an existing Amazon Redshift RA3 cluster and must see the most recent transactional data without permanently loading the entire table into the data warehouse. The solution should require minimal operational overhead and avoid staging the data in Amazon S3. Which approach meets these requirements?
Configure Amazon Redshift federated queries to Aurora PostgreSQL and create a scheduled materialized view for frequently accessed reports.
Set up AWS Database Migration Service with ongoing replication to load the Aurora tables into Redshift staging tables every few minutes.
Export the Aurora data to Amazon S3 with AWS Glue jobs and query it from Redshift by using Spectrum external tables.
Create an AWS Glue Data Catalog table that uses a JDBC connection to Aurora and query it from Redshift Spectrum as an external table.
Amazon Redshift supports federated queries that let the cluster connect to Aurora PostgreSQL or RDS for PostgreSQL and run SQL statements directly on the source database. When the requirement is to see up-to-date transactional records without persisting a full copy inside Redshift, configuring a federated data source and optionally creating a materialized view that refreshes on a schedule provides the needed low-latency access with little administration. Using AWS DMS or exporting to S3 would copy data into Redshift or S3, adding cost and lag. Creating an external table via Spectrum still requires the data to reside in S3. Therefore, the federated query approach is the most suitable remote-access method for this scenario.
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What are Amazon Redshift federated queries?
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What is a materialized view in Amazon Redshift?
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Why is staging data in S3 not preferred for this solution?
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What are Amazon Redshift federated queries?
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What is a materialized view in Redshift, and why is it useful?
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How does AWS Database Migration Service (DMS) differ from federated queries for this use case?
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AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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