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Amazon Web Services Data-Engineer-Associate Exam With Confidence Using Practice Dumps

Exam Code:
Data-Engineer-Associate
Exam Name:
AWS Certified Data Engineer - Associate (DEA-C01)
Questions:
241
Last Updated:
Feb 7, 2026
Exam Status:
Stable
Amazon Web Services Data-Engineer-Associate

Data-Engineer-Associate: AWS Certified Data Engineer Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Data Engineer - Associate (DEA-C01) Questions and Answers

Question 1

A banking company uses an application to collect large volumes of transactional data. The company uses Amazon Kinesis Data Streams for real-time analytics. The company's application uses the PutRecord action to send data to Kinesis Data Streams.

A data engineer has observed network outages during certain times of day. The data engineer wants to configure exactly-once delivery for the entire processing pipeline.

Which solution will meet this requirement?

Options:

A.

Design the application so it can remove duplicates during processing by embedding a unique ID in each record at the source.

B.

Update the checkpoint configuration of the Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) data collection application to avoid duplicate processing of events.

C.

Design the data source so events are not ingested into Kinesis Data Streams multiple times.

D.

Stop using Kinesis Data Streams. Use Amazon EMR instead. Use Apache Flink and Apache Spark Streaming in Amazon EMR.

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Question 2

A data engineer needs to build an extract, transform, and load (ETL) job. The ETL job will process daily incoming .csv files that users upload to an Amazon S3 bucket. The size of each S3 object is less than 100 MB.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Write a custom Python application. Host the application on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster.

B.

Write a PySpark ETL script. Host the script on an Amazon EMR cluster.

C.

Write an AWS Glue PySpark job. Use Apache Spark to transform the data.

D.

Write an AWS Glue Python shell job. Use pandas to transform the data.

Question 3

A company has a data pipeline that uses an Amazon RDS instance, AWS Glue jobs, and an Amazon S3 bucket. The RDS instance and AWS Glue jobs run in a private subnet of a VPC and in the same security group.

A use' made a change to the security group that prevents the AWS Glue jobs from connecting to the RDS instance. After the change, the security group contains a single rule that allows inbound SSH traffic from a specific IP address.

The company must resolve the connectivity issue.

Which solution will meet this requirement?

Options:

A.

Add an inbound rule that allows all TCP traffic on all TCP ports. Set the security group as the source.

B.

Add an inbound rule that allows all TCP traffic on all UDP ports. Set the private IP address of the RDS instance as the source.

C.

Add an inbound rule that allows all TCP traffic on all TCP ports. Set the DNS name of the RDS instance as the source.

D.

Replace the source of the existing SSH rule with the private IP address of the RDS instance. Create an outbound rule with the same source, destination, and protocol as the inbound SSH rule.