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Everything You Need to Know About the AWS Certified Data Engineer Associate Exam

David Blocher

Everything you need to know about the AWS Data Engineer Associate exam.

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Everything you need to know about the AWS Data Engineer Associate exam.

In this guide, 8-time AWS certified training architect David Blocker dives into what the AWS Data Engineer Associate exam is, how to take it, and what will be included. You’ll also learn about the recommended experience for a better pass rate and the top 5 services you need to know going into the exam. Find the complete exam guide here: https://d1.awsstatic.com/training-and-certification/docs-data-engineer-associate/AWS-Certified-Data-Engineer-Associate_Exam-Guide.pdf.

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What's inside

Syllabus

Everything You Need to Know About the AWS Certified Data Engineer Associate Exam

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills for passing the AWS Certified Data Engineer Associate exam
Covers topics essential to success on the exam
Provides guidance from experienced AWS instructor David Blocker
Outlines the recommended experience and top services to focus on
Complements the AWS Certified Data Engineer Associate Exam Guide
Requires some prior knowledge or experience in data engineering

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Everything You Need to Know About the AWS Certified Data Engineer Associate Exam with these activities:
Find a Mentor in the Data Engineering Field
Accelerate your learning by finding a mentor who can provide guidance and support.
Browse courses on Mentorship
Show steps
  • Identify potential mentors who have experience in data engineering.
  • Reach out to your network and ask for recommendations.
  • Request a meeting with potential mentors to discuss your career goals and seek their guidance.
Review Data Modeling
Refresh your data modeling skills before the course starts to ensure a solid foundation.
Browse courses on Data Modeling
Show steps
  • Review the basics of data modeling, including entities, attributes, and relationships.
  • Create a simple data model for a real-world scenario.
  • Practice using a data modeling tool, such as ERwin or PowerDesigner.
Practice SQL Queries
Reinforce your SQL skills by practicing queries on real-world datasets.
Browse courses on SQL
Show steps
  • Find a dataset that you can use for practice.
  • Write a variety of SQL queries to retrieve and manipulate data from the dataset.
  • Check your queries against the expected results to identify and correct any errors.
Three other activities
Expand to see all activities and additional details
Show all six activities
Follow Tutorials on AWS Data Engineer Services
Deepen your understanding of AWS data engineer services by following guided tutorials.
Browse courses on AWS Glue
Show steps
  • Find a tutorial on a specific AWS data engineer service, such as AWS Glue or AWS Athena.
  • Follow the steps in the tutorial to build a real-world data pipeline.
  • Experiment with the service to explore its features and capabilities.
Mentor Junior Data Engineers
Deepen your understanding by mentoring junior data engineers and sharing your knowledge.
Browse courses on Mentoring
Show steps
  • Identify a junior data engineer who needs mentoring.
  • Share your knowledge and experience with the mentee.
  • Provide guidance and support to the mentee as they develop their skills.
Create a Data Pipeline for a Real-World Business Problem
Apply your knowledge by creating a data pipeline for a real-world business problem.
Browse courses on Data Pipelines
Show steps
  • Identify a business problem that can be solved with a data pipeline.
  • Design a data pipeline to solve the problem.
  • Implement the data pipeline using AWS data engineer services.
  • Evaluate the performance of the data pipeline and make improvements as needed.

Career center

Learners who complete Everything You Need to Know About the AWS Certified Data Engineer Associate Exam will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer is responsible for the development, deployment, and maintenance of data pipelines and data warehouses. In this role, you would use your knowledge of AWS services to design and implement data solutions that meet business requirements. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you prepare for the AWS Data Engineer Associate certification, which is a valuable credential for those working in this field.
Data Architect
A Data Architect is responsible for designing and implementing data management solutions that meet business needs. In this role, you would use your knowledge of AWS services to design and implement data architectures that are scalable, reliable, and secure. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you prepare for the AWS Data Architect Associate certification, which is a valuable credential for those working in this field.
Database Administrator
A Database Administrator is responsible for the management and maintenance of databases. In this role, you would use your knowledge of AWS services to manage and maintain AWS database services such as Amazon RDS and Amazon DynamoDB. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you prepare for the AWS Database Administrator Associate certification, which is a valuable credential for those working in this field.
Big Data Engineer
A Big Data Engineer is responsible for the design and implementation of data solutions that handle large volumes of data. In this role, you would use your knowledge of AWS services such as Amazon EMR and Amazon Kinesis to design and implement data pipelines and data warehouses that can handle big data. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you prepare for the AWS Big Data Engineer certification, which is a valuable credential for those working in this field.
Software Engineer
A Software Engineer is responsible for the design, development, and maintenance of software applications. In this role, you would use your knowledge of AWS services to develop and deploy software applications that use AWS services. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Software Engineer.
Cloud Architect
A Cloud Architect is responsible for the design and implementation of cloud computing solutions. In this role, you would use your knowledge of AWS services to design and implement cloud solutions that meet business requirements. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Cloud Architect.
Systems Engineer
A Systems Engineer is responsible for the design and implementation of computer systems. In this role, you would use your knowledge of AWS services to design and implement computer systems that meet business requirements. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Systems Engineer.
Network Engineer
A Network Engineer is responsible for the design and implementation of computer networks. In this role, you would use your knowledge of AWS services such as Amazon VPC and Amazon Route 53 to design and implement computer networks that meet business requirements. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Network Engineer.
Security Engineer
A Security Engineer is responsible for the design and implementation of security solutions. In this role, you would use your knowledge of AWS services such as Amazon IAM and Amazon GuardDuty to design and implement security solutions that meet business requirements. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Security Engineer.
Data Scientist
A Data Scientist is responsible for the analysis and interpretation of data. In this role, you would use your knowledge of AWS services such as Amazon SageMaker and Amazon Athena to analyze and interpret data to derive insights that can be used to improve business outcomes. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Data Scientist.
Machine Learning Engineer
A Machine Learning Engineer is responsible for the design and implementation of machine learning solutions. In this role, you would use your knowledge of AWS services such as Amazon SageMaker and Amazon Rekognition to design and implement machine learning solutions that can be used to improve business outcomes. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Machine Learning Engineer.
Data Analyst
A Data Analyst is responsible for the collection, analysis, and interpretation of data. In this role, you would use your knowledge of AWS services such as Amazon Athena and Amazon QuickSight to collect, analyze, and interpret data to derive insights that can be used to improve business outcomes. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Data Analyst.
Business Analyst
A Business Analyst is responsible for the analysis of business processes and the identification of opportunities for improvement. In this role, you would use your knowledge of AWS services to analyze business processes and identify opportunities for improvement that can be implemented using AWS services. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Business Analyst.
Product Manager
A Product Manager is responsible for the development and management of products. In this role, you would use your knowledge of AWS services to develop and manage products that use AWS services. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Product Manager.
Project Manager
A Project Manager is responsible for the planning, execution, and control of projects. In this role, you would use your knowledge of AWS services to plan, execute, and control projects that use AWS services. The course, "Everything You Need to Know About the AWS Certified Data Engineer Associate Exam," could help you build a foundation in AWS services that would be valuable for a career as a Project Manager.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Everything You Need to Know About the AWS Certified Data Engineer Associate Exam.
Provides a deep dive into the design and architecture of data-intensive applications. It covers topics such as data storage, data processing, and data analysis.
Provides a comprehensive overview of big data analytics. It covers topics such as data engineering, data science, and machine learning.
Provides a comprehensive overview of data warehousing. It covers topics such as data modeling, data storage, and data analysis.
Provides a practical guide to data science. It covers topics such as data mining, data analysis, and machine learning.
Provides a comprehensive overview of machine learning for data engineers. It covers topics such as data preparation, feature engineering, and model building.

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