Course and practice questions
Data Engineer course
Data Engineer – Associate (DEA-C01): 4 modules, 12 lessons and 4 quizzes. This exam is multiple choice, so the practice is the course and original questions. The lab runtime is kubeadm clusters only, and this page does not include an AWS account.
What's included
A course and practice questions
4 modules, 12 lessons and 4 quizzes (32 original questions). About 1 h 43 min of reading. The lab runtime is kubeadm clusters only, so this page does not include an AWS account.
4 modules
12 lessons mapped to the domains in the public exam guide.
4 quizzes
32 original practice questions, with an explanation for every answer. They are not exam items.
130-minute exam
The length published for this exam. This page does not offer a timed mock.
Exam domains
Domains from the public guide
The domain weights below sum to 100. The official page is the source of truth: Data Engineer – Associate exam page.
Data Ingestion and Transformation
34%of the exam
4 competencies
- Perform data ingestion
- Transform and process data
- Orchestrate data pipelines
- Apply programming concepts
Data Store Management
26%of the exam
4 competencies
- Choose a data store
- Understand data cataloging systems
- Manage the lifecycle of data
- Design data models and schema evolution
Data Operations and Support
22%of the exam
4 competencies
- Automate data processing by using AWS services
- Analyze data by using AWS services
- Maintain and monitor data pipelines
- Ensure data quality
Data Security and Governance
18%of the exam
5 competencies
- Apply authentication mechanisms
- Apply authorization mechanisms
- Ensure data encryption and masking
- Prepare logs for audit
- Understand data privacy and governance
Curriculum
4 modules, 12 lessons, 4 quizzes
Lesson titles from the course. The questions stay in the quizzes, and the answers are not published here.
01Ingestion and transformation
Streams and batches, the formats you write, and orchestration that can rerun a day without doubling it. Domain: Data Ingestion and Transformation.
- lessonBatch and streaming ingestion10 min
- lessonTransforming and processing data9 min
- lessonOrchestration and the code around a pipeline9 min
02Data store management
A store per access pattern, a catalog pointed at the path you mean to publish, and schema changes old files can survive. Domain: Data Store Management.
- lessonChoosing a data store9 min
- lessonCatalogs and the life of a dataset8 min
- lessonModels and schema evolution8 min
03Data operations and support
Jobs that start without you, lag you can see, and quality rules that stop a bad partition. Domain: Data Operations and Support.
- lessonAutomating processing and analyzing data9 min
- lessonMonitoring and maintaining pipelines8 min
- lessonData quality8 min
04Data security and governance
Roles per pipeline, column grants, keys, and the logs and regions a privacy promise actually depends on. Domain: Data Security and Governance.
- lessonAuthentication and authorization9 min
- lessonEncryption and masking8 min
- lessonAudit, privacy, and governance8 min
Read the Data Engineer – Associate course
Sign up free to read the 12 lessons and take the 4 quizzes. The lab runtime is kubeadm clusters only, so this course does not include an AWS account.