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DEA-C01 · Question #173

DEA-C01 Question #173: Real Exam Question with Answer & Explanation

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Data Ingestion and Transformation

Question

A company has three subsidiaries. Each subsidiary uses a different data warehousing solution. The first subsidiary hosts its data warehouse in Amazon Redshift. The second subsidiary uses Teradata Vantage on AWS. The third subsidiary uses Google BigQuery. The company wants to aggregate all the data into a central Amazon S3 data lake. The company wants to use Apache Iceberg as the table format. A data engineer needs to build a new pipeline to connect to all the data sources, run transformations by using each source engine, join the data, and write the data to Iceberg. Which solution will meet these requirements with the LEAST operational effort?

Options

  • AUse native Amazon Redshift, Teradata, and BigQuery connectors to build the pipeline in AWS
  • BUse the Amazon Athena federated query connectors for Amazon Redshift, Teradata, and
  • CUse the native Amazon Redshift connector, the Java Database Connectivity (JDBC) connector for
  • DUse the native Amazon Redshift, Teradata, and BigQuery connectors in Amazon Appflow to write

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Topics

#Data Lake#Federated Query#ETL Pipeline#Apache Iceberg
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