DEA-C01.AE1
Data Engineer DEA-C01
Master AWS data engineering with our comprehensive DEA-C01 certification training, featuring 14 hands-on labs and 444 practice questions.
What you will be able to do
- Data Pipeline Orchestration: Design and implement automated, scalable data pipelines using native AWS orchestration services while managing complex dependency chains.
- Database Architecture: Master the selection and configuration of Amazon Redshift, DynamoDB, and RDS to meet specific performance and latency demands.
- Security and Governance: Implement robust encryption, data masking, and IAM policies to ensure compliance and data privacy within the AWS ecosystem.
- Monitoring and Troubleshooting: Utilize AWS logging services to audit data operations and maintain system reliability through proactive performance monitoring and debugging.
Intermediate Self-paced · 1 year access
14 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / About
About This Course
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
20 Interactive Lessons · 115 topics01 Introduction 5 topics +
- The AWS Certified Data Engineering Associate Certification
- The Purpose of This course
- The AWS Certified Data Engineer – Associate Exam
- Study Guide Features
- AWS Certified Data Engineer – Associate Exam (DEA-C01) Objectives
02 Streaming and Batch Data Ingestion 8 topics · 5 LiveLab +
- The Evolution of Application Architectures and Data Stores
- Introduction to the Modern Data Architecture
- Introduction to Data Ingestion
- Data Ingestion
- Streaming Ingestion
- Batch Ingestion
- Summary
- Exam Essentials
5 LiveLab in this lesson — see the labs panel →
03 Building Automated Data Pipelines 9 topics · 4 LiveLab +
- Introduction
- Introduction to Automated Data Pipelines
- Data Pipeline Orchestration
- Supporting AWS Services for Enhanced Orchestration
- Applying Programming Concepts
- Logging, Monitoring, and Auditing for Data Pipeline Orchestration
- Case Studies and Real-World Examples
- Summary
- Exam Essentials
4 LiveLab in this lesson — see the labs panel →
04 Data Transformation 9 topics · 1 LiveLab +
- Introduction to Data Integration
- Data Transformation
- Introduction to Containers
- Choosing the Right Service
- API-Driven Data Pipelines on AWS
- Introduction to Data Quality
- AWS Glue Data Quality
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
05 Storage Services 15 topics · 1 LiveLab +
- Introduction to Data Stores
- Storage Platforms
- Data Storage Formats
- Storage Services and Configurations for Specific Performance Demands
- Amazon Simple Storage Service
- Amazon Elastic Block Storage
- Amazon Elastic File System
- Amazon File Cache
- Amazon FSx
- Implementing the Appropriate Storage Services for Specific Cost and Performance Requirements
- Aligning Data Storage with Data Migration Requirements
- Determining the Appropriate Storage Solution for Specific Access Patterns
- Managing the Lifecycle of Data
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
06 Databases and Data Warehouses on AWS 11 topics · 1 LiveLab +
- Introduction
- Amazon Redshift
- Amazon DynamoDB
- Amazon Relational Database Service
- Amazon Neptune
- Amazon DocumentDB (with MongoDB Compatibility)
- Amazon MemoryDB for Redis
- Amazon Keyspaces (for Apache Cassandra)
- AWS Database Comparison
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
07 Data Catalogs 4 topics · 1 LiveLab +
- Data Catalogs
- Data Quality at Rest
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
08 Visualizing Your Data 12 topics +
- Introduction
- Introduction to Data Visualization
- Types of Data Visualizations
- Principles of Effective Data Visualization
- Trade-offs Between Provisioned and Serverless Services
- AWS Services for Data Analysis and Visualization
- Advanced SQL Techniques for Data Analysis
- Data Cleansing and Preparation
- Data Aggregation and Transformation Techniques
- Best Practices for Data Analysis
- Summary
- Exam Essentials
09 Monitoring and Auditing Data 6 topics +
- How to Log Application Data
- Logging Best Practices
- How to Log Access to AWS Services
- Analyzing Logs Using AWS Services
- Summary
- Exam Essentials
10 Maintaining and Troubleshooting Data Operations 11 topics · 1 LiveLab +
- Introduction to Automating Data Processing Using AWS Services
- Maintaining and Troubleshooting Data Processing
- API Calls for Data Processing
- Services That Accept Scripting
- Orchestrating Data Pipelines
- Troubleshooting Amazon Managed Workflows
- Using AWS Services for Data Processing
- Consuming and Maintaining Data APIs
- Using Lambda for Data Processing
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
11 Authentication and Authorization 4 topics +
- Introduction to Authentication
- Introduction to Authorization
- Summary
- Exam Essentials
12 Data Encryption and Masking 7 topics +
- Introduction
- What Is Encryption and Why Is It Needed?
- Encryption on AWS
- Encryption on AWS Data Services
- Data Masking
- Summary
- Exam Essentials
13 Data Privacy and Governance 8 topics +
- Introduction
- AWS Shared Responsibility Model
- Understanding Data Privacy Fundamentals
- AWS Services for Privacy Implementation
- Data Governance
- Regional Data Privacy Strategies
- Summary
- Exam Essentials
14 How to Take the Exam 6 topics +
- Lesson Overview
- Register for the Exam
- Preparing for the Exam
- The Day Before the Exam
- The Day of the Exam
- After the Exam
15 Practice Exam 1 +
16 Practice Exam 2 +
17 Practice Exam 3 +
18 Practice Exam 4 +
19 Practice Exam 5 +
20 Flashcards +
Hands-On Labs Our edge
14 LiveLabs- lab 1
- Configuring and Evaluating AWS Streaming Data Ingestion Services
- Implementing Database Migration and Change Data Capture Using AWS DMS
- Configuring a secure Amazon S3 Data Landing Zone
- Build and Validate a Batch Ingestion Pipeline with AWS Glue
- Scheduling Data Processing with Amazon EventBridge
- Orchestrate ETL Workflows with AWS Glue
- Build a Resilient Workflow with AWS Step Functions
- Implement Pipeline Alerts and Failure Recovery
- Transform and Standardize Data with AWS Glue
- Compare CSV and Parquet for Analytical Workloads
- Model and Query Data in Amazon DynamoDB
- Discover Data and Build an AWS Glue Data Catalog
- Automate AWS Operations with Python and Boto3
03 / FAQs
Questions before you start
Is this DEA-C01 course suitable for absolute beginners?+
How many practice questions are included in this training?+
Does this course include hands-on labs?+
Prepare for the AWS Data Engineer DEA-C01 Certification
Prepare for the AWS Data Engineer DEA-C01 exam with 14 hands-on labs, 295 exercises, and practice assessments. Master AWS data pipelines, databases, security, and monitoring.
- 1 year of full access
- 14 LiveLab included
- Certificate of completion
No credit card required