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AWS Certified Data Engineer - Associate (DEA-C01)
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Amazon Web Services Data-Engineer-Associate Questions and Answers
A retail company stores data from a product lifecycle management (PLM) application in an on-premises MySQL database. The PLM application frequently updates the database when transactions occur.
The company wants to gather insights from the PLM application in near real time. The company wants to integrate the insights with other business datasets and to analyze the combined dataset by using an Amazon Redshift data warehouse.
The company has already established an AWS Direct Connect connection between the on-premises infrastructure and AWS.
Which solution will meet these requirements with the LEAST development effort?
A company uses Amazon DataZone as a data governance and business catalog solution. The company stores data in an Amazon S3 data lake. The company uses AWS Glue with an AWS Glue Data Catalog.
A data engineer needs to publish AWS Glue Data Quality scores to the Amazon DataZone portal.
Which solution will meet this requirement?
A company has an application that uses a microservice architecture. The company hosts the application on an Amazon Elastic Kubernetes Services (Amazon EKS) cluster.
The company wants to set up a robust monitoring system for the application. The company needs to analyze the logs from the EKS cluster and the application. The company needs to correlate the cluster's logs with the application's traces to identify points of failure in the whole application request flow.
Which combination of steps will meet these requirements with the LEAST development effort? (Select TWO.)
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It validates your ability to design, build, and manage data pipelines on AWS.
It helps you stand out as someone who understands real-world data engineering on cloud platforms.
To assess how well you handle end-to-end data lifecycle tasks on AWS.
No fixed prerequisites—any motivated learner can register.
Experience helps, but it isn’t mandatory for enrollment.
Yes, as long as you understand the basics of data workflows.
It tests your skills in data ingestion, transformation, modeling, and automation.
Yes, the exam questions reflect real AWS data pipeline challenges.
A significant portion covers services like Redshift, Glue, and Athena.
It covers both AWS data services and fundamental data engineering principles.
AWS sets a scaled passing score, typically around the mid-700s.
Not precisely—they use scaled scoring to maintain fairness.
Yes, you can retake it after a mandatory 14-day waiting period.
You can retake it multiple times, but you must pay each time.
Generally no—you need to pay the full exam fee again.
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