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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:
May 25, 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 is designing a new data lake architecture for a company. The data engineer plans to use Apache Iceberg tables and AWS Glue Data Catalog to achieve fast query performance and enhanced metadata handling. The data engineer needs to query historical data for trend analysis and optimize storage costs for a large volume of event data.

Which solution will meet these requirements with the LEAST development effort?

Options:

A.

Store Iceberg table data files in Amazon S3 Intelligent-Tiering.

B.

Define partitioning schemes based on event type and event date.

C.

Use AWS Glue Data Catalog to automatically optimize Iceberg storage.

D.

Run a custom AWS Glue job to compact Iceberg table data files.

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Question 2

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.

Question 3

A data engineer needs to create an empty copy of an existing table in Amazon Athena to perform data processing tasks. The existing table in Athena contains 1,000 rows.

Which query will meet this requirement?

Options:

A.

CREATE TABLE new_table LIKE old_table;

B.

CREATE TABLE new_table AS SELECT * FROM old_table WITH NO DATA;

C.

CREATE TABLE new_table AS SELECT * FROM old_table;

D.

CREATE TABLE new_table AS SELECT * FROM old_table WHERE 1=1;

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