AWS Certified Data Engineer – Associate: A Practical Prep Guide

The AWS Certified Data Engineer – Associate (DEA-C01) is not a memorization exam. It tests whether you can choose the right ingestion path, model a data store, operate a pipeline, and lock down data assets without making the solution unnecessarily expensive.

According to the [official DEA-C01 exam guide](https://aws.amazon.com/certification/certified-data-engineer-associate/), the exam has 65 questions and a 180-minute time limit, with a passing score of 720 out of 1000. The content is spread across four domains:

The four DEA-C01 domains that matter

1. Data Ingestion and Transformation – 34%

This domain is the heart of the exam. You need to know:

Kinesis Data Streams vs. Kinesis Data Firehose vs. Amazon MSK

AWS Glue ETL, Glue job bookmarks, and Glue DataBrew

AWS Database Migration Service (DMS) for relational and NoSQL movement

S3 event notifications, EventBridge, and AppFlow for SaaS ingestion

Batch vs. streaming and when to use Lambda for light transformation

2. Data Store Management – 26%

Expect questions on:

Amazon S3 storage classes, lifecycle policies, partitioning, and table formats

Redshift RA3 nodes, sort keys, distribution keys, and materialized views

DynamoDB keys, global secondary indexes, DynamoDB Streams, and capacity modes

OpenSearch, ElastiCache, and RDS/Aurora for specific access patterns

Catalog and metadata management with the Glue Data Catalog

3. Data Operations and Support – 22%

This is where many hands-on engineers lose points because the questions are operational.

Orchestrating with Step Functions, Managed Workflows for Apache Airflow (MWAA), and EventBridge Scheduler

Monitoring with CloudWatch Logs, Metrics, and Alarms

Auditing with CloudTrail and VPC Flow Logs

Cost controls: Redshift pause/resume, Glue job sizing, S3 Intelligent-Tiering

Troubleshooting failed jobs, schema evolution, and late-arriving data

4. Data Security and Governance – 18%

Lake Formation permissions, tag-based access control, and cross-account grants

IAM policies, roles, and resource policies vs. identity policies

KMS key types, encryption at rest and in transit

VPC endpoints and interface endpoints for private data plane access

Secrets Manager and Parameter Store for credentials

The services to prioritize

If you have limited time, go deep on these ten before adding breadth:

1. Amazon S3 – object storage, versioning, lifecycle, events

2. AWS Glue – Data Catalog, crawlers, ETL jobs

3. Amazon Redshift – warehouse design, Redshift Spectrum, Redshift Serverless

4. Amazon Kinesis – Data Streams, Firehose, Analytics

5. Amazon DynamoDB – data modeling, streams, indexes

6. AWS Lambda – lightweight transformations and event-driven glue

7. AWS Step Functions + EventBridge – pipeline orchestration

8. Amazon RDS/Aurora – transactional sources and CDC-like patterns

9. AWS DMS – moving databases

10. Lake Formation + IAM + KMS – security and governance

A realistic 6-week prep plan

Weeks 1–2: Build the foundation

Review the [AWS Well-Architected Data Analytics Lens](https://docs.aws.amazon.com/wellarchitected/latest/analytics-lens/welcome.html). Set up a hands-on sandbox. Create an S3 bucket, enable CloudTrail, and write IAM policies. Build a small Glue job that reads CSV from S3 and writes Parquet back.

Weeks 3–4: Go deep on data stores and streaming

Create a Kinesis Data Stream, attach Firehose, and land events in S3 with a Glue table. Deploy a small Redshift Serverless workgroup and load data from S3. Model a DynamoDB table and test a global secondary index.

Weeks 5–6: Security, operations, and practice exams

Enable Lake Formation permissions, encrypt data with a customer-managed KMS key, and orchestrate the pipeline with Step Functions. Take at least three timed practice exams: one official AWS practice exam, one high-quality third-party set, and a final review of AWS Skill Builder learning paths.

What the exam will feel like

DEA-C01 questions are scenario-heavy. You will often see five plausible answers and two that are technically workable. The correct answer is usually the one that meets the requirement with the least operational overhead, lowest cost, and proper security. When stuck, eliminate answers that cross domain boundaries incorrectly—like using Redshift for high-velocity streaming ingestion or Kinesis Data Streams as a long-term data lake.

Final prep notes

Read the official DEA-C01 exam guide carefully; domain weights change the probability of question types.

Use AWS Skill Builder and the free AWS workshops.

Build something real. Certification knowledge sticks when you have stared at a failed Glue job or a Lake Formation permission denied error.

Keep a one-page cheat sheet of default limits, service integrations, and pricing triggers.

At Sapior, we take the same operate-first approach with our own internal data tooling. If you can explain why a pipeline is secure, observable, and cheap, you are ready.