AWS Certified Data Engineer – Associate (DEA-C01) Exam

Contents

What You’ll Learn Requirements Description Who this course is for:

What
You’ll Learn

Design and implement scalable and secure data pipelines on AWS.
Understand the core concepts and services of AWS data engineering.
Optimize data storage
processing
and analytics using AWS services.
Prepare effectively for the DEA-C01 exam with hands-on practice and real-world scenarios.

Requirements

Familiarity with AWS services is helpful but not mandatory.

Description

AWS Certified Data Engineer – Associate (DEA-C01) Exam – Practice Tests 2024

To set realistic expectations, please note: These questions are NOT official exam questions and may not appear on the official AWS exam. However, they are carefully designed to comprehensively cover the material outlined in the AWS Certified Data Engineer – Associate (DEA-C01) exam guide. Many questions are based on real-world scenarios to help you test and deepen your understanding of AWS data engineering concepts.

The knowledge requirements for the AWS Certified Data Engineer – Associate exam are reviewed regularly to align with the latest updates in AWS technologies and best practices. Updates to the practice questions may be made without prior notice and are subject to change at any time.

Questions are randomized each time you retake the tests. It is crucial to understand why an answer is correct rather than relying on memorization.

Exam Sections

The practice tests cover the following key areas:

Data Engineering Fundamentals

Understanding AWS data lakes, data warehouses, and database solutions.
Implementing data storage and retrieval strategies using AWS services.

Data Processing and Transformation

Using AWS Glue, AWS Lambda, and Apache Spark for data processing.
Managing ETL (Extract, Transform, Load) pipelines effectively.

Data Security and Compliance

Implementing security best practices for data protection.
Understanding IAM, encryption, and compliance frameworks.

Data Analysis and Optimization

Working with Amazon Redshift, Athena, and QuickSight for data insights.
Optimizing data workflows and performance tuning.

Streaming and Real-Time Data Processing

Using Kinesis, MSK, and DynamoDB Streams for real-time analytics.
Managing event-driven architectures.

Important:

This course is designed to supplement your study material for the official AWS Certified Data Engineer – Associate (DEA-C01) exam. It should not be your sole source of preparation.

Get ready to boost your confidence and ace the AWS Certified Data Engineer – Associate exam!