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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)
Certification:
AWS Certified Data Engineer
Vendor:
Amazon Web Services
Questions:
231
Last Updated:
Jan 24, 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

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Question 1

A company needs to automate data workflows from multiple data sources to run both on schedules and in response to events from Amazon EventBridge. The data sources are Amazon RDS and Amazon S3. The company needs a single data pipeline that can be invoked both by scheduled events and near real-time EventBridge events.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Create an AWS Glue workflow. Use EventBridge to integrate the events and schedules.

B.

Create an Amazon Managed Workflow for Apache Airflow (Amazon MWAA) workflow that uses a directed acyclic graph (DAG). Use EventBridge to integrate the events and schedules.

C.

Create an AWS Step Functions state machine. Integrate the state machine with AWS Glue ETL jobs and EventBridge to orchestrate the pipeline based on events and schedules.

D.

Create Amazon EMR Serverless jobs that are invoked by AWS Lambda functions. Use EventBridge events and schedules to orchestrate the EMR jobs.

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Question 2

A company uses Amazon Redshift as its data warehouse service. A data engineer needs to design a physical data model.

The data engineer encounters a de-normalized table that is growing in size. The table does not have a suitable column to use as the distribution key.

Which distribution style should the data engineer use to meet these requirements with the LEAST maintenance overhead?

Options:

A.

ALL distribution

B.

EVEN distribution

C.

AUTO distribution

D.

KEY distribution

Question 3

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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