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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company runs an on-premises PostgreSQL database that stores 10 years of sales data. The data engineering team must migrate several large historical tables, including their indexes, partitions, and user-defined functions, to Amazon Redshift. After the initial migration, new rows added to the source tables must automatically appear in Redshift with minimal manual intervention. Which solution will meet these requirements?

  • Create Amazon Athena federated queries to access the PostgreSQL tables and build views in Redshift that reference those queries.

  • Export the tables to CSV files in Amazon S3, create Redshift external tables with Redshift Spectrum, and schedule nightly COPY commands into local tables.

  • Use AWS Schema Conversion Tool to convert the PostgreSQL schema to Amazon Redshift, then configure AWS Database Migration Service for full load and ongoing replication.

  • Run an AWS Glue crawler to infer the PostgreSQL schema and launch Glue jobs that write Parquet files into Redshift on a schedule.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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