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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:
255
Last Updated:
Mar 5, 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 runs multiple applications on AWS. The company configured each application to output logs. The company wants to query and visualize the application logs in near real time.

Which solution will meet these requirements?

Options:

A.

Configure the applications to output logs to Amazon CloudWatch Logs log groups. Create an Amazon S3 bucket. Create an AWS Lambda function that runs on a schedule to export the required log groups to the S3 bucket. Use Amazon Athena to query the log data in the S3 bucket.

B.

Create an Amazon OpenSearch Service domain. Configure the applications to output logs to Amazon CloudWatch Logs log groups. Create an OpenSearch Service subscription filter for each log group to stream the data to OpenSearch. Create the required queries and dashboards in OpenSearch Service to analyze and visualize the data.

C.

Configure the applications to output logs to Amazon CloudWatch Logs log groups. Use CloudWatch log anomaly detection to query and visualize the log data.

D.

Update the application code to send the log data to Amazon QuickSight by using Super-fast, Parallel, In-memory Calculation Engine (SPICE). Create the required analyses and dashboards in QuickSight.

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Question 2

A company uses an Amazon Redshift cluster that runs on RA3 nodes. The company wants to scale read and write capacity to meet demand. A data engineer needs to identify a solution that will turn on concurrency scaling.

Which solution will meet this requirement?

Options:

A.

Turn on concurrency scaling in workload management (WLM) for Redshift Serverless workgroups.

B.

Turn on concurrency scaling at the workload management (WLM) queue level in the Redshift cluster.

C.

Turn on concurrency scaling in the settings during the creation of and new Redshift cluster.

D.

Turn on concurrency scaling for the daily usage quota for the Redshift cluster.

Question 3

A company is using Amazon Redshift to build a data warehouse solution. The company is loading hundreds of tiles into a tact table that is in a Redshift cluster.

The company wants the data warehouse solution to achieve the greatest possible throughput. The solution must use cluster resources optimally when the company loads data into the tact table.

Which solution will meet these requirements?

Options:

A.

Use multiple COPY commands to load the data into the Redshift cluster.

B.

Use S3DistCp to load multiple files into Hadoop Distributed File System (HDFS). Use an HDFS connector to ingest the data into the Redshift cluster.

C.

Use a number of INSERT statements equal to the number of Redshift cluster nodes. Load the data in parallel into each node.

D.

Use a single COPY command to load the data into the Redshift cluster.

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