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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 83 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 83
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

A company uses Apache Airflow to orchestrate the company's current on-premises data pipelines. The company runs SQL data quality check tasks as part of the pipelines. The company wants to migrate the pipelines to AWS and to use AWS managed services.

Which solution will meet these requirements with the LEAST amount of refactoring?

  • A. Setup AWS Outposts in the AWS Region that is nearest to the location where the company uses Airflow. Migrate the servers into Outposts hosted Amazon EC2 instances. Update the pipelines to interact with the Outposts hosted EC2 instances instead of the on-premises pipelines.
  • B. Create a custom Amazon Machine Image (AMI) that contains the Airflow application and the code that the company needs to migrate. Use the custom AMI to deploy Amazon EC2 instances. Update the network connections to interact with the newly deployed EC2 instances.
  • C. Migrate the existing Airflow orchestration configuration into Amazon Managed Workflows for Apache Airflow (Amazon MWAA). Create the data quality checks during the ingestion to validate the data quality by using SQL tasks in Airflow.
  • D. Convert the pipelines to AWS Step Functions workflows. Recreate the data quality checks in SQL as Python based AWS Lambda functions.
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Suggested Answer: C 🗳️
by tgv at June 15, 2024, 9:12 a.m.
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bakarys
9 months, 4 weeks ago
Selected Answer: C
The solution that will meet these requirements with the least amount of refactoring is Option C: Migrate the existing Airflow orchestration configuration into Amazon Managed Workflows for Apache Airflow (Amazon MWAA). Create the data quality checks during the ingestion to validate the data quality by using SQL tasks in Airflow. Amazon Managed Workflows for Apache Airflow (MWAA) is a fully managed service that makes it easy to run open-source versions of Apache Airflow on AWS. It allows you to build workflows to design and visualize pipelines, automate complex tasks, and monitor executions. Since the company is already using Apache Airflow for orchestration, migrating to Amazon MWAA would require minimal refactoring.
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HunkyBunky
10 months, 1 week ago
Selected Answer: C
Amazon MWAA - becuase we already uses Apache Airflow
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tgv
10 months, 2 weeks ago
Selected Answer: C
Amazon MWAA is a managed service for running Apache Airflow. It allows migrating existing Airflow configurations with minimal changes. Data quality checks can continue to be implemented as SQL tasks in Airflow, similar to the current setup.
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