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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 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 a solution to store and query product data that has variable attributes. The solution must support unpredictable and high-volume queries with single-digit millisecond latency, even during sudden traffic spikes. The solution must retrieve items by a primary identifier named Product ID. The solution must allow flexible queries by secondary attributes named Category and Brand.

Which solution will meet these requirements?

Options:

A.

Use an Amazon DynamoDB table with on-demand capacity to store product data. Store products by primary key. Use global secondary indexes (GSIs) to store secondary attributes.

B.

Use Amazon Aurora with a Multi-AZ deployment to store product data. Use read replicas. Create indexes for primary and secondary attributes.

C.

Use an Amazon OpenSearch Serverless cluster with dynamic scaling to store product data. Index product data by primary and secondary attributes.

D.

Use Amazon ElastiCache (Redis OSS) and Amazon S3 to store product data. Use Amazon Athena to run flexible secondary attribute queries.

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Question 2

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.

Question 3

A data engineer uses the AWS Glue Data Catalog to manage data lake metadata. The data engineer ' s extract, transform, and load (ETL) process creates new partitions in an Amazon S3 data lake throughout the day. The new partitions are not queryable through Amazon Athena until an AWS Glue crawler run finishes each night. The data engineer needs to make new partitions immediately available for querying.

Which solution will meet these requirements?

Options:

A.

Modify the ETL process to use the AWS Glue CreatePartition API call after creating each new partition in Amazon S3.

B.

Configure S3 Event Notifications to invoke an AWS Lambda function that copies new partition data to a separate cataloged S3 bucket.

C.

Use Amazon DynamoDB Streams to track partition changes and update the AWS Glue Data Catalog.

D.

Use the AWS Glue StartImportLabelsTaskRun API call to synchronize partitions on demand.

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