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Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam
The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam - quickly and efficiently - with Sybex.
Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for:
ABOUT THE AWS DATA ENGINEER - ASSOCIATE CERTIFICATION
The AWS Data Engineer - Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices
Interactive learning environment
Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to:
. Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam.
. 100 electronic flashcards to reinforce learning and last-minute prep before the exam
. Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared
ABOUT THE AUTHORS
SYED HUMAIR is a Senior Specialist Solutions Architect (Data Analytics) at Amazon Web Services.
CHENJERAI GUMBO is an AWS Solutions Architect Leader - Analytics for the EMEA region.
ADAM GATT is a Senior Specialist Solution Architect - Analytics at AWS. He has over 20 years' experience in data and data warehousing.
ASIF ABBASI is a Principal Specialist Solutions Architect at AWS, a published author on various data related topics, and has over 20 years of experience working in various data roles, leading the engineering to executive conversations at various enterprises.
LAKSHMI NAIR is a Senior Analytics Solutions Architect at Amazon Web Services with experience of over 14 years, spanning across different enterprise architecture areas, data strategy and analytics.
Introduction xxiii
Assessment Test xxx
Chapter 1 Streaming and Batch Data Ingestion 1
Chapter 2 Building Automated Data Pipelines 79
Chapter 3 Data Transformation 143
Chapter 4 Storage Services 243
Chapter 5 Databases and Data Warehouses on AWS 289
Chapter 6 Data Catalogs 351
Chapter 7 Visualizing Your Data 371
Chapter 8 Monitoring and Auditing Data 417
Chapter 9 Maintaining and Troubleshooting Data Operations 435
Chapter 10 Authentication and Authorization 453
Chapter 11 Data Encryption and Masking 509
Chapter 12 Data Privacy and Governance 529
Appendix A Answers to Review Questions 565
Appendix B References 591
Index 593
In today's data-driven world, the demand for skilled data engineers is at an all-time high. AWS offers some of the most powerful and widely used cloud solutions, making AWS data engineering skills essential for anyone looking to thrive in this field. By mastering AWS Certified Data Engineering, you can work with cutting-edge technologies for processing, storing, and analyzing vast amounts of data, whether in batch or real-time scenarios. This knowledge will not only enhance your career prospects but also prepare you to design efficient, scalable, and secure data solutions that meet the needs of modern organizations.
Even if you are already familiar with other data engineering platforms, AWS expertise will set you apart, as it is the leading provider of cloud services worldwide. Gaining a solid understanding of AWS data engineering practices will help you make informed decisions about how to implement robust data solutions and handle real-world challenges.
This certification validates your ability to work with data-related services on AWS, including data ingestion, transformation, storage, and visualization. The exam is designed to test your skills in building automated pipelines, managing data catalogs, ensuring data security, and implementing governance policies. As a certified associate, you demonstrate the knowledge needed to design and maintain reliable, efficient, and secure data workflows on the AWS platform.
This book is designed to help you pass the AWS Certified Data Engineering Associate exam. Covering all key exam topics, such as streaming and batch data ingestion, building automated data pipelines, transformation, and storage, this book provides detailed explanations, practical examples, and valuable insights. Each chapter aligns with core AWS services and concepts, ensuring you gain a comprehensive understanding of data engineering in the AWS ecosystem.
Beyond exam preparation, this book serves as a lasting reference guide. From setting up secure data pipelines to monitoring and troubleshooting operations, you will find the knowledge and skills needed for real-world scenarios. Whether you're an aspiring data engineer or a seasoned professional, this book will equip you with the tools to advance your career and excel in the ever-growing field of data engineering.
Don't just study the questions and answers! The questions on the actual exam will be different from the practice questions included in this book. The exam is designed to test your knowledge of a concept or objective, so use this book to learn the objectives behind the questions.
The AWS Certified Data Engineer - Associate exam is designed to validate the skills and expertise required to build, maintain, and optimize data processing systems on the AWS platform. It focuses on assessing the candidate's ability to manage data throughout its lifecycle, including ingestion, transformation, storage, and analysis. The exam is particularly relevant for professionals involved in creating robust, scalable, and secure data infrastructure, which is critical for data-driven decision-making and AI-powered solutions.
This certification covers a range of topics, including streaming and batch data ingestion, automated data pipeline construction, data transformation techniques, storage services, and database management. Security and governance, such as encryption, masking, and access controls, are also critical components. Additionally, the exam tests knowledge of advanced topics like data cataloging, monitoring, auditing, and troubleshooting data operations, ensuring candidates can maintain efficient systems. By earning this certification, professionals demonstrate their ability to work effectively in AWS's dynamic cloud environment, positioning themselves as key players in the data engineering landscape.
The field of data engineering is rapidly growing as organizations increasingly rely on data to drive decision-making and innovation. As we transition into a world dominated by AI and Generative AI technologies, the role of data engineers is becoming more critical than ever. These professionals are the backbone of systems that collect, transform, and manage data-tasks that are essential for deploying advanced AI models and driving innovation in industries ranging from healthcare to finance and beyond.
The AWS Certified Data Engineering - Associate exam is designed to validate the skills required to build and maintain data infrastructure on the AWS cloud platform, one of the leading platforms for scalable and secure data operations. The certification equips individuals with the expertise to design data pipelines, manage data storage, implement security protocols, and optimize data systems. This certification serves not only as a stepping stone for those entering the field but also as a benchmark for professionals looking to advance their careers in cloud-based data engineering.
According to industry analyses, the demand for data engineers is on a steep rise, with salaries reflecting the growing importance of this role. In 2024, the average salary for data engineers in the United States is estimated at $153,000 annually, with experienced professionals earning even higher. Data engineering is also increasingly intertwined with machine learning (ML) and AI. Nearly 30 percent of job postings now cite ML-related skills as critical for data engineers, highlighting the evolving role of these professionals in shaping AI systems. Furthermore, the expansion of remote work opportunities in this field is making data engineering an attractive and competitive career path globally.
As businesses race to integrate Generative AI and other emerging technologies, having a solid foundation in data engineering is essential. Building automated pipelines, ensuring data privacy, and maintaining robust infrastructure are key tasks that enable organizations to effectively implement and scale their AI strategies. This makes certified data engineers indispensable in today's job market and positions them as vital contributors to the technological advancements of the future.
The purpose of this book is to prepare you for the AWS Certified Data Engineering - Associate exam by covering all the essential topics, including:
Additionally, the book comes with a test bank that includes practice exams and flashcards to reinforce key concepts. These resources will not only help you pass the certification exam but will also serve as a comprehensive reference for practical data engineering tasks.
By mastering the material in this guide, you'll not only enhance your expertise in AWS's data services but also position yourself as a key player in the evolving landscape of data-driven innovation. As the demand for skilled data engineers continues to grow, this certification will provide you with the knowledge and credibility needed to excel in this exciting and dynamic field.
The AWS Certified Data Engineering - Associate exam is available to anyone interested in validating their skills in building, maintaining, and optimizing data infrastructure on the AWS platform. This certification is accessible to everyone-you don't need to work for a particular company or meet specific prerequisites to qualify.
The exam is administered by AWS through authorized testing partners, including Pearson VUE and PSI. Candidates can choose to take the exam either online from the comfort of their homes or at a testing center near them. Upon passing, you'll receive an official certificate from AWS that verifies your expertise, as well as a digital badge to showcase your achievement on professional platforms like LinkedIn.
To register for the exam, visit the official AWS Certification portal at https://aws.amazon.com/certification. You'll need to create an AWS Certification account if you don't already have one. From there, select the AWS Certified Data Engineering - Associate exam, choose your preferred testing method (online or in-person), and follow the prompts to schedule your exam. During registration, you will be asked to provide details such as your name, contact information, and payment method to complete the process.
https://aws.amazon.com/certification
Exam policies can change from time to time. We highly recommend that you check both the AWS and Pearson VUE sites for the most up-to-date information when you begin your preparation, when you register, and again a few days before your scheduled exam date.
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