Amazon Amazon-DEA-C01 Exam Questions

Exam Name: AWS Certified Data Engineer – Associate

Exam Code: Amazon-DEA-C01

Related Certification(s): Amazon AWS Certified Data Engineer Associate Certification

Certification Provider: Amazon

Actual Exam Duration: 130 Minutes

Number of Amazon-DEA-C01 Practice Questions: 231 (updated: )

Expected Amazon-DEA-C01 Exam Topics, as suggested by Amazon:
Topic 1: Data Ingestion and Transformation
This section assesses data engineers on their ability to design scalable data ingestion pipelines. It focuses on collecting and transforming data from various sources for analysis. Candidates should be skilled in using AWS data services to create secure, optimized ingestion processes that support data analysis.
Topic 2: Data Store Management
This domain evaluates database administrators and data engineers who manage AWS data storage. It covers creating and optimizing relational databases, NoSQL databases, and data lakes. The focus is on performance, scalability, and data integrity, ensuring efficient and reliable storage solutions.
Topic 3: Data Operations and Support
Targeted at database administrators and engineers, this section covers maintaining and monitoring AWS data workflows. It emphasizes automation, monitoring, troubleshooting, and pipeline optimization, ensuring smooth operations and resolving system issues effectively.
Topic 4: Data Security and Governance
This section focuses on securing AWS data and ensuring policy compliance. It emphasizes access control, encryption, privacy, and auditing, requiring candidates to design governance frameworks that meet regulatory standards.
Free AWS Amazon-DEA-C01 Exam Actual Questions
Note: AWS Amazon-DEA-C01 Premium Questions were last updated on

Q1# A data engineer is configuring an AWS Glue job to read data from an Amazon S3 bucket but receives an error related to the Amazon S3 VPC gateway endpoint. Which solution will resolve the issue?

Q2# A retail company stores customer data in Amazon S3. Analysts from different countries must access only customer data from their own country. Which solution requires the least operational effort?

Q3# A media company wants to incorporate third-party datasets into its analytics platform with minimal effort. Which solution should be used?

Q4# A financial company wants to implement a data mesh with centralized governance and analytics. Which services should be used? (Choose two.)

Q5# A data engineer maintains Python scripts used by multiple AWS Lambda functions and wants a less manual way to update them. Which solution should be used?