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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:
289
Last Updated:
Apr 27, 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 data engineer uses Amazon Kinesis Data Streams to ingest and process records that contain user behavior data from an application every day.

The data engineer notices that the data stream is experiencing throttling because hot shards receive much more data than other shards in the data stream.

How should the data engineer resolve the throttling issue?

Options:

A.

Use a random partition key to distribute the ingested records.

B.

Increase the number of shards in the data stream. Distribute the records across the shards.

C.

Limit the number of records that are sent each second by the producer to match the capacity of the stream.

D.

Decrease the size of the records that the producer sends to match the capacity of the stream.

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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 company runs an AWS Glue workflow every day to process time series data from an Amazon S3 bucket. The workflow loads the data into an Amazon Redshift Serverless table. The company observes that some of the jobs in the workflow occasionally fail.

A data engineer must receive a notification when the Redshift table does not contain the most recent data.

Which solution will meet this requirement in the MOST operationally efficient way?

Options:

A.

Configure an Amazon EventBridge Scheduler to run an Amazon Macie job to scan the Redshift table for data freshness. Configure Macie to notify an Amazon Simple Notification Service (Amazon SNS) topic when an AWS Glue job fails.

B.

Schedule an AWS Glue Data Quality job to check the freshness of the data. Create an Amazon EventBridge rule to notify an Amazon Simple Notification Service (Amazon SNS) topic when a data quality rule fails.

C.

Load AWS Glue job logs to an Amazon S3 bucket. Configure an Amazon CloudWatch alarm to send a notification when the job logs in the S3 bucket contain Job.State=FAILED.

D.

Create an Amazon CloudWatch dashboard that displays a metric named Failed AWS Glue Jobs that counts AWS Glue job failures during the previous day. Set a CloudWatch alarm to send a notification when the metric value exceeds zero.

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