AWS Certified Data Engineer – Associate (DEA-C01) Prep
AWS Certified Data Engineer – Associate (DEA-C01) Prep: Practice Tests and Quiz Review Checklist
This comprehensive certification preparation program covers the complete blueprint of the AWS Certified Data Engineer – Associate exam across ingestion, storage, transformation, security, and operations. Learners will develop hands-on proficiency with foundational and modern AWS analytics services, including Amazon Kinesis, AWS Glue, Amazon EMR, Amazon Redshift, and AWS Lake Formation. Designed for aspiring and practicing data professionals, this course equips you with the architecture patterns and operational troubleshooting skills required to excel on exam day. Every lesson includes tutor notes, a video, a hands-on lab, exercises and a 12-question quiz you must pass at 80%, followed by a pooled final exam and free and paid practice tests. Erudex is independent and not affiliated with Amazon Web Services.
Use this checklist alongside the AWS Certified Data Engineer – Associate (DEA-C01) Prep curriculum. A practice score is a starting point for review, not proof that every topic has been mastered. The course, lesson quizzes and practice papers serve different purposes: learn a concept, check it locally, then check mixed recall.
Key points
- •Compare the outline with your learning or examination requirements.
- •Use the free paper to locate gaps, not to certify readiness.
- •Review guessed answers as carefully as incorrect ones.
- •Return to lesson exercises before attempting broader assessment.
Match the preparation to your syllabus or learning goal
Master modern data engineering concepts, tools, and best practices to pass the AWS Certified Data Engineer – Associate (DEA-C01) exam with confidence.
Available tracks: Professional Track. Compare the course outline with your teacher's requirements or the current external exam objectives before deciding which topics need additional preparation. Broad preparation does not establish complete coverage of every board, grade or jurisdiction.
- •Design and implement scalable batch and real-time streaming data ingestion pipelines on AWS.
- •Architect and optimize high-performance data lakes and analytical warehouses using Amazon S3 and Amazon Redshift.
- •Develop scalable data transformation workflows using AWS Glue, Amazon EMR, and Apache Spark.
- •Enforce fine-grained data security, governance, encryption, and compliance using AWS Lake Formation, KMS, and IAM.
- •Monitor, troubleshoot, and optimize data pipelines for cost efficiency and peak operational performance.
Review focus: Module 1: Real-Time Streaming Data Ingestion
Start with these lesson topics: 1.1 Ingesting Streaming Data with Amazon Kinesis Data Streams; 1.2 Configuring Delivery Streams with Amazon Kinesis Data Firehose; 1.3 Managed Apache Kafka Deployments with Amazon MSK. Close the notes and explain the connection between the topics before answering questions.
Choose an exercise or lab from this module, show each step and compare your result with the lesson explanation. If a quiz answer was a guess, record it as a review item even when it was correct.
- •Explain and practise: 1.1 Ingesting Streaming Data with Amazon Kinesis Data Streams
- •Explain and practise: 1.2 Configuring Delivery Streams with Amazon Kinesis Data Firehose
- •Explain and practise: 1.3 Managed Apache Kafka Deployments with Amazon MSK
Review focus: Module 2: Batch Ingestion and Hybrid Data Migration
Start with these lesson topics: 2.1 Database Migration Strategies with AWS Database Migration Service (DMS); 2.2 Automating SaaS Data Ingestion using Amazon AppFlow; 2.3 Large-Scale Data Transfer with the AWS Snow Family and DataSync. Close the notes and explain the connection between the topics before answering questions.
Choose an exercise or lab from this module, show each step and compare your result with the lesson explanation. If a quiz answer was a guess, record it as a review item even when it was correct.
- •Explain and practise: 2.1 Database Migration Strategies with AWS Database Migration Service (DMS)
- •Explain and practise: 2.2 Automating SaaS Data Ingestion using Amazon AppFlow
- •Explain and practise: 2.3 Large-Scale Data Transfer with the AWS Snow Family and DataSync
Review focus: Module 3: Serverless ETL and Data Transformation with AWS Glue
Start with these lesson topics: 3.1 Managing Metadata and Catalogs with AWS Glue Crawlers and Schema Registry; 3.2 Developing Serverless Spark ETL Jobs with AWS Glue Studio; 3.3 Data Cleansing and Visual Transformations using AWS Glue DataBrew. Close the notes and explain the connection between the topics before answering questions.
Choose an exercise or lab from this module, show each step and compare your result with the lesson explanation. If a quiz answer was a guess, record it as a review item even when it was correct.
- •Explain and practise: 3.1 Managing Metadata and Catalogs with AWS Glue Crawlers and Schema Registry
- •Explain and practise: 3.2 Developing Serverless Spark ETL Jobs with AWS Glue Studio
- •Explain and practise: 3.3 Data Cleansing and Visual Transformations using AWS Glue DataBrew
Review focus: Module 4: Big Data Processing and Pipeline Orchestration
Start with these lesson topics: 4.1 Provisioning and Sizing Amazon EMR Clusters with Apache Spark and Hive; 4.2 Running Containerized and Serverless Workloads with Amazon EMR Serverless; 4.3 Orchestrating Complex Data Pipelines using AWS Step Functions. Close the notes and explain the connection between the topics before answering questions.
Choose an exercise or lab from this module, show each step and compare your result with the lesson explanation. If a quiz answer was a guess, record it as a review item even when it was correct.
- •Explain and practise: 4.1 Provisioning and Sizing Amazon EMR Clusters with Apache Spark and Hive
- •Explain and practise: 4.2 Running Containerized and Serverless Workloads with Amazon EMR Serverless
- •Explain and practise: 4.3 Orchestrating Complex Data Pipelines using AWS Step Functions
Review focus: Module 5: Modern Data Lakes and Cloud Data Warehousing
Start with these lesson topics: 5.1 Designing S3 Data Lake Partitioning and File Formats (Parquet, ORC, Avro); 5.2 S3 Storage Classes, Lifecycle Configurations, and Intelligent-Tiering; 5.3 Architecting Amazon Redshift Clusters, Workgroups, and Redshift Serverless. Close the notes and explain the connection between the topics before answering questions.
Choose an exercise or lab from this module, show each step and compare your result with the lesson explanation. If a quiz answer was a guess, record it as a review item even when it was correct.
- •Explain and practise: 5.1 Designing S3 Data Lake Partitioning and File Formats (Parquet, ORC, Avro)
- •Explain and practise: 5.2 S3 Storage Classes, Lifecycle Configurations, and Intelligent-Tiering
- •Explain and practise: 5.3 Architecting Amazon Redshift Clusters, Workgroups, and Redshift Serverless
Use the free paper as a short diagnostic
Sign in to take the fixed free practice paper. This course offers 1 free paper, with 10 questions per paper. Record the topic and reason for each mistake; repeating a fixed paper may improve familiarity without demonstrating broader readiness.
Paid practice papers contain 30–50 questions. Purchased papers support saved continuation and review; use the actual explanations to identify what needs more study.
Make a correction log before the final assessment
For each missed or guessed question, record the topic, the choice you made, why it was tempting, the correct reasoning and one new example. Separate knowledge gaps from misreading and timing problems. Revisit the underlying lesson rather than memorising the answer's position.
Check the final-assessment instructions on the course page. Erudex quizzes, practice tests and completion records are separate from external school examinations or professional credentials. Consult the relevant awarding body or teacher for current external requirements.
Frequently asked questions
- Where can I practise AWS Certified Data Engineer – Associate (DEA-C01) Prep?
- Use the Free practice test link below, then return to the linked course for lesson review and exercises.
- Should I repeat the same quiz until I remember the answers?
- Use repetition to check corrections, but also solve unfamiliar examples and explain your reasoning without the notes. Remembering answer positions is not a reliable check of understanding.
Study it properly: AWS Certified Data Engineer – Associate (DEA-C01) Prep
Master modern data engineering concepts, tools, and best practices to pass the AWS Certified Data Engineer – Associate (DEA-C01) exam with confidence.