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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
121. A company uploads .
122. A company has a data processing pipeline that runs multiple SQL queries in sequence against...
123. A company uses Amazon S3 to store data and Amazon QuickSight to create visualizations.
124. A financial company wants to implement a data mesh.
125. A company uses Amazon Athena for one-time queries against data that is in Amazon S3.
126. A company uses Amazon S3 to store semi-structured data in a transactional data lake.
127. A data engineer is optimizing query performance in Amazon Athena notebooks that use Apache Spark...
128. A data engineer is building a data pipeline on AWS by using AWS Glue extract,...
129. A data engineer needs to securely transfer 5 TB of data from an on-premises data...
130. A data engineer runs Amazon Athena queries on data that is in an Amazon S3...
131. An ecommerce company processes millions of orders each day.
132. A data engineer is building an automated extract, transform, and load (ETL) ingestion pipeline by...
133. A data engineer needs to onboard a new data producer into AWS.
134. Files from multiple data sources arrive in an Amazon S3 bucket on a regular basis.
135. A company has three subsidiaries.
136. A data engineer is using an Apache Iceberg framework to build a data lake that...
137. A company wants to migrate a data warehouse from Teradata to Amazon Redshift.
138. A company needs to store semi-structured transactional data in a serverless database.
139. A company stores details about transactions in an Amazon S3 bucket.
140. A security company stores IoT data that is in JSON format in an Amazon S3...
141. A company maintains an Amazon Redshift provisioned cluster that the company uses for extract, transform,...
142. A company maintains multiple extract, transform, and load (ETL) workflows that ingest data from the...
143. A company uses an Amazon Redshift cluster as a data warehouse that is shared across...
144. A company created an extract, transform, and load (ETL) data pipeline in AWS Glue.
145. A data engineer must manage the ingestion of real-time streaming data into AWS.
146. A company uses Amazon Redshift as its data warehouse service.
147. A company is building an inventory management system and an inventory reordering system to automatically...
148. A data engineer maintains a materialized view that is based on an Amazon Redshift database.
149. A company is planning to migrate on-premises Apache Hadoop clusters to Amazon EMR.
150. A company stores employee data in Amazon Redshift A table named Employee uses columns named...
151. A company stores customer data in an Amazon S3 bucket.
152. A media company uses software as a service (SaaS) applications to gather data by using...
153. A technology company currently uses Amazon Kinesis Data Streams to collect log data in real...
154. A company uses Amazon S3 buckets, AWS Glue tables, and Amazon Athena as components of...
155. A retail company is using an Amazon Redshift cluster to support real-time inventory management.
156. A data engineer wants to orchestrate a set of extract, transform, and load (ETL) jobs...
157. A transportation company wants to track vehicle movements by capturing geolocation records.
158. A data engineer is using an AWS Glue ETL job to remove outdated customer records...
159. A data engineer develops an AWS Glue Apache Spark ETL job to perform transformations on...
160. A company uses AWS Glue jobs to implement several data pipelines.
161. A company uses Amazon Redshift for its data warehouse.
162. A company uses AWS Glue Apache Spark jobs to handle extract, transform, and load (ETL)...
163. A data engineer must build an extract, transform, and load (ETL) pipeline to process and...
164. A company is planning to use a provisioned Amazon EMR cluster that runs Apache Spark...
165. A company receives a data file from a partner each day in an Amazon S3...
166. A company has a data warehouse that contains a table that is named Sales.
167. A data engineer is implementing model governance for machine learning (ML) workflows on AWS.
168. A data engineer is configuring an AWS Glue job to read data from an Amazon...
169. A data engineer needs to schedule a workflow that runs a set of AWS Glue...
170. A company needs to build a data lake in AWS.
171. A company has a gaming application that stores data in Amazon DynamoDB tables.
172. A sales company uses AWS Glue ETL to collect, process, and ingest data into an...
173. A data engineer is troubleshooting an AWS Glue workflow that occasionally fails.
174. A company stores server logs in an Amazon 53 bucket.
175. A company wants to combine data from multiple software as a service (SaaS) applications for...
176. During a security review, a company identified a vulnerability in an AWS Glue job.
177. A data engineer notices slow query performance on a highly partitioned table that is in...
178. A car sales company maintains data about cars that are listed for sale in an...
179. A company receives .
180. A data engineer is building a new data pipeline that stores metadata in an Amazon...

Amazon Web Services Data-Engineer-Associate Summary

  • Vendor: Amazon Web Services
  • Product: Data-Engineer-Associate
  • Update on: Mar 14, 2026
  • Questions: 289
  • Page: 3 / 8
Price: $52.5  $149.99
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TESTED 14 Mar 2026