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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 company is planning to use a provisioned Amazon EMR cluster that runs Apache Spark jobs to perform big data analysis. The company requires high reliability. A big data team must follow best practices for running cost-optimized and long-running workloads on Amazon EMR. The team must find a solution that will maintain the company's current level of performance.
Which combination of resources will meet these requirements MOST cost-effectively? (Choose two.)
A company receives marketing campaign data from a vendor. The company ingests the data into an Amazon S3 bucket every 40 to 60 minutes. The data is in CSV format. File sizes are between 100 KB and 300 K
B.
A data engineer needs to set-up an extract, transform, and load (ETL) pipeline to upload the content of each file to Amazon Redshift.
Which solution will meet these requirements with the LEAST operational overhead?
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?
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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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