Which Service Supports Hybrid On-Premises and Cloud Orchestration?
A data engineer is building a data orchestration workflow. The data engineer plans to use a hybrid model that includes some on-premises resources and some resources that are in the cloud. The data engineer wants to prioritize portability and open source resources. Which service should the data engineer use in both the on-premises environment and the cloud-based environment?
Community Votes
100% of anonymous learners picked answer C. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
The question tests hybrid orchestration portability with open-source tooling; the trap is assuming any AWS workflow or ETL service can also run on-premises.
Amazon MWAA runs Apache Airflow, an open-source workflow orchestrator that can be used on-premises and in AWS, so it fits hybrid environments. This page confirms why MWAA (C) is the correct DEA-C01 answer over AWS Glue, Amazon SWF, and AWS Data Exchange.
A common wrong answer is AWS Glue, because it is a serverless AWS-native ETL and orchestration service, but it is not an open-source engine that runs on-premises with the same workflow definitions.
Community Discussion (4 comments)
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Expert Analysis
Why the Answer Is Correct
Amazon MWAA is a managed service that runs Apache Airflow, and Apache Airflow is an open-source workflow orchestration tool that can be installed in an on-premises data center as well as used in the cloud. This directly matches the requirement to prioritize portability and open source in a hybrid model, because teams can maintain common DAG definitions and operators across both environments. As Ja13 noted, MWAA lets the engineer "leverage the managed service in the cloud while maintaining the ability to use the same" Airflow workflows on-premises. tgv also pointed out that "Airflow can orchestrate workflows that involve both on-premises and cloud resources," which is the exact hybrid coordination the scenario requires. Selecting C therefore balances open-source portability with a managed AWS deployment.Why the Other Options Are Wrong
A AWS Data Exchange is a catalog for subscribing to third-party data products, not a workflow orchestrator, so it cannot schedule hybrid on-premises plus cloud jobs. B Amazon SWF is a proprietary AWS workflow service; it is not open source and is not designed for on-premises deployment, which fails both portability and open-source priorities. D AWS Glue is a serverless AWS-native ETL and data catalog service, useful for cloud transformations but not an open-source engine that the engineer can run in the on-premises environment with the same artifacts. All three either lack orchestration capability for this hybrid use case or lock the engineer into AWS-specific workflow definitions.Community Comment Notes
The community was unanimous for C, with andrologin summarizing that MWAA is "just Apache Airflow managed by AWS" and that the same DAGs can be reused on-premises and in the cloud. Ja13 emphasized the open-source and hybrid angle, while tgv focused on Airflow's ability to orchestrate both on-premises and cloud resources. sdas1 simply recorded the answer as C. These comments align with the official behavior of Apache Airflow and MWAA, though the vote count alone is not what proves the answer; the portability requirement does.Official Reference
Exam Strategy
In hybrid or portability scenarios, map the open-source engine in the option to its managed AWS service; Apache Airflow maps to Amazon MWAA. Eliminate proprietary AWS-only services such as Glue, SWF, and Data Exchange unless the question asks for cloud-only processing.
Frequently Asked Questions
Why is AWS Glue not the answer for hybrid orchestration?
AWS Glue is a serverless AWS-native ETL and catalog service; it is not an open-source workflow engine that can run on-premises with the same definitions.
Can Apache Airflow DAGs be reused between on-premises and Amazon MWAA?
Yes, MWAA is managed Apache Airflow, so the same DAG definitions and plugins can generally run on-premises and in AWS, preserving orchestration portability.
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