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Amazon Web Services AWS Certified Data Engineer (Data-Engineer-Associate) Free Practice Questions

Getting ready for your Amazon Web Services AWS Certified Data Engineer Data-Engineer-Associate exam can feel like a big hurdle, right? Don't worry, we've got your back! Jump into our completely free Data-Engineer-Associate practice questions - they're just like the real test, designed to help you get comfortable and pinpoint exactly what you need to study more. Let's get you feeling super confident for exam day!

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  5. AWS Certified Data Engineer - Associate (DEA-C01) Practice Questions
181. A company wants to analyze sales records that the company stores in a MySQL database.
182. A data engineer needs Amazon Athena queries to finish faster.
183. A financial company wants to implement a data mesh.
184. A company extracts approximately 1 TB of data every day from data sources such as...
185. A company is migrating a legacy application to an Amazon S3 based data lake.
186. A company receives a daily file that contains customer data in .
187. Files from multiple data sources arrive in an Amazon S3 bucket on a regular basis.
188. A company uses an Amazon QuickSight dashboard to monitor usage of one of the company's...
189. A company wants to use Apache Spark jobs that run on an Amazon EMR cluster...
190. A data engineer uses Amazon Redshift to run resource-intensive analytics processes once every month.
191. A company needs a solution to manage costs for an existing Amazon DynamoDB table.
192. A company stores employee data in Amazon Redshift A table named Employee uses columns named...
193. A mobile gaming company wants to capture data from its gaming app.
194. A company uses an Amazon Redshift cluster as a data warehouse that is shared across...
195. A company uses Amazon Redshift as a data warehouse solution.
196. A company uses Amazon Redshift as its data warehouse.
197. A company has a data processing pipeline that runs multiple SQL queries in sequence against...
198. A company has five offices in different AWS Regions.
199. A company stores details about transactions in an Amazon S3 bucket.
200. A retail company uses an Amazon Redshift data warehouse and an Amazon S3 bucket.
201. A data engineer is processing a large amount of log data from web servers.
202. A data engineer is configuring Amazon SageMaker Studio to use AWS Glue interactive sessions to...
203. A security company stores IoT data that is in JSON format in an Amazon S3...
204. A retail company stores data from a product lifecycle management (PLM) application in an on-premises...
205. A company uses an Amazon Redshift cluster that runs on RA3 nodes.
206. A data engineer is optimizing query performance in Amazon Athena notebooks that use Apache Spark...
207. A company needs to partition the Amazon S3 storage that the company uses for a...
208. A data engineer must orchestrate a data pipeline that consists of one AWS Lambda function...
209. A company maintains multiple extract, transform, and load (ETL) workflows that ingest data from the...
210. A data engineer is troubleshooting an AWS Glue workflow that occasionally fails.
211. A company uses an Amazon Redshift provisioned cluster as its database.
212. A company has an Amazon Redshift data warehouse that users access by using a variety...
213. A data engineer uses Amazon Kinesis Data Streams to ingest and process records that contain...
214. A data engineer needs to use AWS Step Functions to design an orchestration workflow.
215. A technology company currently uses Amazon Kinesis Data Streams to collect log data in real...
216. A company's data engineer needs to optimize the performance of table SQL queries.
217. A data engineer is building a data pipeline.
218. A data engineer needs to use Amazon Neptune to develop graph applications.
219. A company has as JSON file that contains personally identifiable information (PIT) data and non-PII...
220. A company is developing an application that runs on Amazon EC2 instances.
221. A data engineer is building a data pipeline on AWS by using AWS Glue extract,...
222. A company is planning to migrate on-premises Apache Hadoop clusters to Amazon EMR.
223. The company stores a large volume of customer records in Amazon S3.
224. A company uses Amazon S3 to store semi-structured data in a transactional data lake.
225. A data engineer has a one-time task to read data from objects that are in...
226. A company processes 500 GB of audience and advertising data daily, storing CSV files in...
227. A retail company uses Amazon Aurora PostgreSQL to process and store live transactional data.
228. A data engineer must manage the ingestion of real-time streaming data into AWS.
229. A company is building an analytics solution.
230. A company saves customer data to an Amazon S3 bucket.
231. An airline company is collecting metrics about flight activities for analytics.
232. A data engineer needs to build an enterprise data catalog based on the company's Amazon...
233. A data engineering team is using an Amazon Redshift data warehouse for operational reporting.
234. A company has an application that uses a microservice architecture.
235. A company uses Amazon S3 to store data and Amazon QuickSight to create visualizations.
236. A company ingests data from multiple data sources and stores the data in an Amazon...
237. A data engineer needs to maintain a central metadata repository that users access through Amazon...
238. A company stores data in a data lake that is in Amazon S3.
239. A company uses an organization in AWS Organizations to manage multiple AWS accounts.
240. A company stores daily records of the financial performance of investment portfolios in .

Amazon Web Services Data-Engineer-Associate Summary

  • Vendor: Amazon Web Services
  • Product: Data-Engineer-Associate
  • Update on: Jun 13, 2026
  • Questions: 289
  • Page: 4 / 8
Price: $52.5  $149.99
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TESTED 13 Jun 2026