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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
361. A data engineer needs Amazon Athena queries to finish faster.
362. A data engineer needs to use Amazon Neptune to develop graph applications.
363. A company has a data warehouse that contains a table that is named Sales.
364. An ecommerce company stores sales data in an AWS Glue table named sales_data.
365. A data engineer is troubleshooting an AWS Glue workflow that occasionally fails.
366. A company stores logs in an Amazon S3 bucket.
367. A company receives a data file from a partner each day in an Amazon S3...
368. A company analyzes data in a data lake every quarter to perform inventory assessments.
369. A company stores its processed data in an S3 bucket.
370. A retail company uses an Amazon Redshift data warehouse and an Amazon S3 bucket.
371. A data engineer is building an automated extract, transform, and load (ETL) ingestion pipeline by...
372. A data engineer is implementing model governance for machine learning (ML) workflows on AWS.
373. A company is building a data stream processing application.
374. A company wants to implement real-time analytics capabilities.
375. A company plans to use Amazon Kinesis Data Firehose to store data in Amazon S3.
376. A data engineer needs to optimize the performance of a data pipeline that handles retail...
377. A company is planning to upgrade its Amazon Elastic Block Store (Amazon EBS) General Purpose...
378. A company is planning to use a provisioned Amazon EMR cluster that runs Apache Spark...
379. A company runs multiple applications on AWS.
380. A company has an Amazon Redshift data warehouse that users access by using a variety...
381. A company is setting up a data pipeline in AWS.
382. A data engineer needs to create a new empty table in Amazon Athena that has...
383. A data engineer needs to create an Amazon Athena table based on a subset of...
384. A data engineer is using Amazon QuickSight to build a dashboard to report a company’s...
385. A company generates reports from 30 tables in an Amazon Redshift data warehouse.
386. A data engineer uses AWS Lake Formation to manage access to data that is stored...
387. A company stores a 100 MB dataset in an Amazon S3 bucket as an Apache...
388. A company uses Amazon DataZone as a data governance and business catalog solution.
389. A manufacturing company uses AWS Glue jobs to process IoT sensor data to generate predictive...
390. A data engineer must manage the ingestion of real-time streaming data into AWS.
391. A company needs to implement a data mesh architecture for trading, risk, and compliance teams.
392. A data engineer is building an automated extract, transform, and load (ETL) ingestion pipeline by...
393. An ecommerce company processes millions of orders each day.
394. A company uses Amazon S3 and AWS Glue Data Catalog to manage a data lake...
395. A company stores sensitive data in an Amazon Redshift table.
396. A company uses a variety of AWS and third-party data stores.
397. A company has a production AWS account that runs company workloads.
398. A data engineer is building a data pipeline on AWS by using AWS Glue extract,...
399. A company uses Amazon RDS to store transactional data.
400. A company needs to build a data lake in AWS.
401. A company uses Amazon S3 to store data and Amazon QuickSight to create visualizations.
402. A company stores datasets in JSON format and .
403. A data engineer must build an extract, transform, and load (ETL) pipeline to process and...
404. A company that operates globally must follow regulations that require data from an AWS Region...
405. A company is uploading log files from on-premises servers to an Amazon S3 bucket.
406. A company implements a data mesh that has a central governance account.
407. A company uses an Amazon Redshift cluster that runs on RA3 nodes.
408. A company has a gaming application that stores data in Amazon DynamoDB tables.
409. A company stores sales data in an Amazon RDS for MySQL database.
410. A company stores customer data in an Amazon S3 bucket.
411. A financial company wants to implement a data mesh.
412. A company is building a data lake for a new analytics team.
413. A gaming company uses AWS Glue to perform read and write operations on Apache Iceberg...
414. Files from multiple data sources arrive in an Amazon S3 bucket on a regular basis.
415. A global finance company needs to implement near real-time cross-Region synchronization of trading data between...
416. A company needs to automate data workflows from multiple data sources to run both on...
417. A company has a data lake in Amazon S3.
418. A company uses an Amazon Redshift Single-AZ cluster for enterprise analytics.
419. A company has used an Amazon Redshift table that is named Orders for 6 months.
420. A company wants to migrate an application and an on-premises Apache Kafka server to AWS.

Amazon Web Services Data-Engineer-Associate Summary

  • Vendor: Amazon Web Services
  • Product: Data-Engineer-Associate
  • Update on: Mar 14, 2026
  • Questions: 289
  • Page: 7 / 8
Price: $52.5  $149.99
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TESTED 14 Mar 2026