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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:
302
Last Updated:
Sep 19, 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 store semi-structured transactional data in a serverless database.

The application writes data infrequently but reads it frequently, with millisecond retrieval required.

Options:

A.

Store the data in an Amazon S3 Standard bucket. Enable S3 Transfer Acceleration.

B.

Store the data in an Amazon S3 Apache Iceberg table. Enable S3 Transfer Acceleration.

C.

Store the data in an Amazon RDS for MySQL cluster. Configure RDS Optimized Reads.

D.

Store the data in an Amazon DynamoDB table. Configure a DynamoDB Accelerator (DAX) cache.

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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 company has an Amazon Redshift data warehouse that users access by using a variety of IAM roles. More than 100 users access the data warehouse every day.

The company wants to control user access to the objects based on each user ' s job role, permissions, and how sensitive the data is.

Which solution will meet these requirements?

Options:

A.

Use the role-based access control (RBAC) feature of Amazon Redshift.

B.

Use the row-level security (RLS) feature of Amazon Redshift.

C.

Use the column-level security (CLS) feature of Amazon Redshift.

D.

Use dynamic data masking policies in Amazon Redshift.

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