AWS Certified Data Engineer - Associate (DEA-C01)
Last Update Dec 1, 2025
Total Questions : 218 With Methodical Explanation
Why Choose CramTick
Last Update Dec 1, 2025
Total Questions : 218
Last Update Dec 1, 2025
Total Questions : 218
Customers Passed
Amazon Web Services Data-Engineer-Associate
Average Score In Real
Exam At Testing Centre
Questions came word by
word from this dump
Try a free demo of our Amazon Web Services Data-Engineer-Associate PDF and practice exam software before the purchase to get a closer look at practice questions and answers.
We provide up to 3 months of free after-purchase updates so that you get Amazon Web Services Data-Engineer-Associate practice questions of today and not yesterday.
We have a long list of satisfied customers from multiple countries. Our Amazon Web Services Data-Engineer-Associate practice questions will certainly assist you to get passing marks on the first attempt.
CramTick offers Amazon Web Services Data-Engineer-Associate PDF questions, and web-based and desktop practice tests that are consistently updated.
CramTick has a support team to answer your queries 24/7. Contact us if you face login issues, payment, and download issues. We will entertain you as soon as possible.
Thousands of customers passed the Amazon Web Services AWS Certified Data Engineer - Associate (DEA-C01) exam by using our product. We ensure that upon using our exam products, you are satisfied.
A data engineer has two datasets that contain sales information for multiple cities and states. One dataset is named reference, and the other dataset is named primary.
The data engineer needs a solution to determine whether a specific set of values in the city and state columns of the primary dataset exactly match the same specific values in the reference dataset. The data engineer wants to use Data Quality Definition Language (DQDL) rules in an AWS Glue Data Quality job.
Which rule will meet these requirements?
A company has as JSON file that contains personally identifiable information (PIT) data and non-PII data. The company needs to make the data available for querying and analysis. The non-PII data must be available to everyone in the company. The PII data must be available only to a limited group of employees. Which solution will meet these requirements with the LEAST operational overhead?
A company has a gaming application that stores data in Amazon DynamoDB tables. A data engineer needs to ingest the game data into an Amazon OpenSearch Service cluster. Data updates must occur in near real time.
Which solution will meet these requirements?