DEA-C01 cheat sheet
A one-page reference for the AWS Certified Data Engineer - Associate exam: the format, how the domains are weighted, and the glossary terms for this exam.
Exam at a glance
Vendor
AWS
Level
Associate
Questions
65
Time
130 min
Mock pass mark
72%
Domains
4
Practice Qs
159
Code
DEA-C01
Domain weightings
How much of the exam each domain covers. Spend your study time in proportion — the heavier the domain, the more questions you'll see.
Key terms
- AWS Glue
- AWS Glue is a serverless data-integration service for discovering, cataloging, transforming, and moving data. DEA-C01 relies heavily on Glue ETL jobs, crawlers, and the Glue Data Catalog across ingestion and governance.
- Glue Data Catalog
- The AWS Glue Data Catalog is a central metadata repository that stores table definitions and schema for data in S3 and other stores. DEA-C01 covers it as the catalog that Athena, Redshift Spectrum, and Lake Formation query against.
- Amazon Kinesis
- Amazon Kinesis is a family of services for real-time streaming data, including Data Streams and Data Firehose. DEA-C01 covers Kinesis for ingesting and delivering streaming data into stores like S3 and Redshift.
- Amazon MSK
- Amazon Managed Streaming for Apache Kafka (MSK) is a managed Kafka service for building streaming data pipelines. DEA-C01 covers MSK alongside Kinesis as an ingestion option for high-throughput event streams.
- Amazon Redshift
- Amazon Redshift is AWS's petabyte-scale cloud data warehouse for analytics using SQL. DEA-C01 covers Redshift for data warehousing, schema and distribution design, and querying S3 data via Redshift Spectrum.
- Amazon Athena
- Amazon Athena is a serverless interactive query service that runs SQL directly against data in S3 using the Glue Data Catalog. DEA-C01 covers Athena for ad-hoc analysis of data-lake data without provisioning infrastructure.
- Data Lake
- A data lake is a centralized repository, typically on Amazon S3, that stores structured and unstructured data at any scale for analytics. DEA-C01 covers building and governing data lakes with S3, the Glue Data Catalog, and Lake Formation.
- AWS Lake Formation
- AWS Lake Formation is a service that simplifies building and securing data lakes with fine-grained, centrally managed permissions. DEA-C01 covers it for governance and column/row-level access control over cataloged data.
- Partitioning
- Partitioning is organizing data-lake files into folders by key (such as date) so queries scan less data and run faster and cheaper. DEA-C01 covers partitioning strategies for S3 data queried by Athena and Redshift Spectrum.
- Parquet
- Apache Parquet is a columnar storage file format that compresses well and speeds up analytic queries by reading only needed columns. DEA-C01 covers choosing columnar formats like Parquet and ORC over row formats for analytics.
- AWS DMS
- AWS Database Migration Service (DMS) is a service that replicates and migrates data between databases, including ongoing change data capture. DEA-C01 covers DMS as an ingestion path for bringing relational data into data lakes and warehouses.
- Step Functions
- AWS Step Functions is a serverless orchestration service that coordinates multiple AWS services into workflows using state machines. DEA-C01 covers it for orchestrating and error-handling multi-step data pipelines.