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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
241. A retail company stores order information in an Amazon Aurora table named Orders.
242. A company stores time-series data that is collected from streaming services in an Amazon S3...
243. A data engineer needs to create an empty copy of an existing table in Amazon...
244. A data engineer configured an AWS Glue Data Catalog for data that is stored in...
245. An ecommerce company wants to use AWS to migrate data pipelines from an on-premises environment...
246. A financial company recently added more features to its mobile app.
247. A data engineer needs to run a data transformation job whenever a user adds a...
248. A data engineer is building a data pipeline on AWS by using AWS Glue extract,...
249. A company wants to combine data from multiple software as a service (SaaS) applications for...
250. A company uses Amazon Athena for one-time queries against data that is in Amazon S3.
251. A company has a data lake in Amazon 53.
252. A company uses Amazon DataZone as a data governance and business catalog solution.
253. A company currently stores all of its data in Amazon S3 by using the S3...
254. A company is migrating a legacy application to an Amazon S3 based data lake.
255. A data engineer needs to schedule a workflow that runs a set of AWS Glue...
256. A retail company is using an Amazon Redshift cluster to support real-time inventory management.
257. A company ingests data from multiple data sources and stores the data in an Amazon...
258. A company needs to build a data lake in AWS.
259. A data engineer must build an extract, transform, and load (ETL) pipeline to process and...
260. A data engineer needs to optimize the performance of a data pipeline that handles retail...
261. A data engineer needs to onboard a new data producer into AWS.
262. A data engineer needs to securely transfer 5 TB of data from an on-premises data...
263. A data engineer must implement Amazon Redshift Serverless as a data warehouse for a company.
264. A company uses Amazon S3 as a data lake.
265. A company needs to automate data workflows from multiple data sources to run both on...
266. A company stores customer data in an Amazon S3 bucket.
267. A company is planning to use a provisioned Amazon EMR cluster that runs Apache Spark...
268. A data engineer is launching an Amazon EMR duster.
269. A retail company uses Amazon Aurora PostgreSQL to process and store live transactional data.
270. A data engineer must ingest a source of structured data that is in .
271. A car sales company maintains data about cars that are listed for sale in an...
272. A company uses AWS Glue jobs to implement several data pipelines.
273. A data engineer notices slow query performance on a highly partitioned table that is in...
274. A data engineer needs to join data from multiple sources to perform a one-time analysis...
275. A company uses Amazon S3 to store data and Amazon QuickSight to create visualizations.
276. During a security review, a company identified a vulnerability in an AWS Glue job.
277. A company is developing an application that runs on Amazon EC2 instances.
278. A data engineer is configuring Amazon SageMaker Studio to use AWS Glue interactive sessions to...
279. A company plans to use Amazon Kinesis Data Firehose to store data in Amazon S3.
280. Two developers are working on separate application releases.
281. A company receives test results from testing facilities that are located around the world.
282. A data engineer maintains custom Python scripts that perform a data formatting process that many...
283. A company builds a new data pipeline to process data for business intelligence reports.
284. A hotel management company receives daily data files from each of its hotels.
285. A company is building an inventory management system and an inventory reordering system to automatically...
286. A company is setting up a data pipeline in AWS.
287. A gaming company uses AWS Glue to perform read and write operations on Apache Iceberg...
288. A data engineer is building a new data pipeline that stores metadata in an Amazon...
289. A data engineer needs to build an enterprise data catalog based on the company's Amazon...
290. A company analyzes data in a data lake every quarter to perform inventory assessments.
291. A retail company stores order information in an Amazon Aurora table named Orders.
292. A company maintains multiple extract, transform, and load (ETL) workflows that ingest data from the...
293. A marketing company uses Amazon S3 to store marketing data.
294. A company uses Amazon Redshift as a data warehouse solution.
295. A company wants to ingest streaming data into an Amazon Redshift data warehouse from an...
296. A company uses AWS Key Management Service (AWS KMS) to encrypt an Amazon Redshift cluster.
297. A data engineer is optimizing query performance in Amazon Athena notebooks that use Apache Spark...
298. A company manages an Amazon Redshift data warehouse.
299. A company wants to implement real-time analytics capabilities.
300. A data engineer is using an AWS Glue ETL job to remove outdated customer records...

Amazon Web Services Data-Engineer-Associate Summary

  • Vendor: Amazon Web Services
  • Product: Data-Engineer-Associate
  • Update on: Jun 13, 2026
  • Questions: 289
  • Page: 5 / 8
Price: $52.5  $149.99
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TESTED 13 Jun 2026