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.

  • Create an AWS Glue Data Catalog table that uses a JDBC connection to Aurora and query it from Redshift Spectrum as an external table.

  • Export the Aurora data to Amazon S3 with AWS Glue jobs and query it from Redshift by using Spectrum external tables.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Bash, the Crucial Exams Chat Bot
AI Bot