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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
421. A company needs to store semi-structured transactional data for an application in a database.
422. During a security review, a company identified a vulnerability in an AWS Glue job.
423. A financial company wants to use Amazon Athena to run on-demand SQL queries on a...
424. A data engineer maintains a materialized view that is based on an Amazon Redshift database.
425. A company is building an inventory management system and an inventory reordering system to automatically...
426. A manufacturing company wants to collect data from sensors.
427. A data engineer needs to create an Amazon Athena table based on a subset of...
428. A company is designing a serverless data processing workflow in AWS Step Functions that involves...
429. A company has an Amazon S3–based data lake.
430. A company uses Amazon S3 buckets, AWS Glue tables, and Amazon Athena as components of...
431. A company runs an extract, transform, and load (ETL) job in AWS Glue.
432. A company is migrating a legacy application to an Amazon S3 based data lake.
433. A company stores data from an application in an Amazon DynamoDB table that operates in...
434. A company needs to store and analyze a large amount of IoT sensor data.
435. A company is migrating its database servers from Amazon EC2 instances that run Microsoft SQL...
436. A data engineer is using an AWS Glue ETL job to remove outdated customer records...
437. A company wants to migrate data from an Amazon RDS for PostgreSQL DB instance in...
438. A company maintains multiple extract, transform, and load (ETL) workflows that ingest data from the...
439. A data engineer is building a new data pipeline that stores metadata in an Amazon...
440. A company receives marketing campaign data from a vendor.
441. A company is using Amazon Redshift to build a data warehouse solution.
442. A financial company recently added more features to its mobile app.
443. A company is planning to upgrade its Amazon Elastic Block Store (Amazon EBS) General Purpose...
444. A company stores logs in an Amazon S3 bucket.
445. A data engineer runs Amazon Athena queries on data that is in an Amazon S3...
446. A company needs to store semi-structured transactional data in a serverless database.
447. An ecommerce company collects daily customer transaction logs in CSV format and stores the logs...
448. A global company currently uses Amazon Redshift to store data and Amazon Quick Suite (previously...
449. A media company uploads large video files to Amazon S3 for processing.
450. A company runs a data pipeline that uses AWS Step Functions to orchestrate AWS Lambda...
451. A company uses Amazon RDS for MySQL as the database for a critical application.
452. A data engineer is optimizing query performance in Amazon Athena notebooks that use Apache Spark...
453. A data engineer needs to analyze time-sensitive sales data.
454. A data engineer is launching an Amazon EMR cluster.
455. A company stores time-series data that is collected from streaming services in an Amazon S3...
456. A data engineer at a large company needs to create centralized datasets that are optimized...
457. A data engineer needs to deploy a complex pipeline.
458. A company uses Amazon S3 to store data and Amazon QuickSight to create visualizations.
459. A company ' s application needs to search and analyze data in near real time.
460. The company stores a large volume of customer records in Amazon S3.
461. A data engineer is using AWS Glue to build an extract, transform, and load (ETL)...
462. An ecommerce company stores sales data in an AWS Glue table named sales_data.
463. A data engineer uses Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to run data...
464. A data engineer needs to create an empty copy of an existing table in Amazon...
465. A company runs an AWS Glue workflow every day to process time series data from...
466. A company wants to analyze sales records that the company stores in a MySQL database.
467. A company stores customer records in Amazon S3.
468. A company runs concurrent analytical queries on Amazon Redshift tables multiple times each day.
469. A company wants to migrate data from an Amazon RDS for PostgreSQL DB instance in...
470. A company saves customer data to an Amazon S3 bucket.
471. A banking company uses an application to collect large volumes of transactional data.
472. A company wants to use Apache Spark jobs that run on an Amazon EMR cluster...
473. A manufacturing company wants to collect data from sensors.
474. A data engineer needs to query data from multiple sources to generate an annual report.
475. A company needs a solution to store and query product data that has variable attributes.
476. A company stores sensitive data in an Amazon Redshift table.
477. A company wants to combine data from multiple software as a service (SaaS) applications for...
478. A company has a frontend ReactJS website that uses Amazon API Gateway to invoke REST...
479. A company uploads .
480. A data engineer must use AWS services to ingest a dataset into an Amazon S3...

Amazon Web Services Data-Engineer-Associate Summary

  • Vendor: Amazon Web Services
  • Product: Data-Engineer-Associate
  • Update on: Jul 28, 2026
  • Questions: 302
  • Page: 8 / 10
Price: $52.5  $149.99
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TESTED 28 Jul 2026