Ace the AWS Certified Data Engineer Exam DEA-C01: Mastering AWS Services for Data Ingestion, Transformation, and Pipeline Orchestration.
Unlock the full potential of AWS and elevate your data engineering skills with “Ace the AWS Certified Data Engineer Exam.” This comprehensive guide is tailored for professionals seeking to master the AWS Certified Data Engineer – Associate certification. Authored by Etienne Noumen, a seasoned Professional Engineer with over 20 years of software engineering experience and 5+ years specializing in AWS data engineering, this book provides an in-depth and practical approach to conquering the certification exam.
Inside this book, you will find:
• Detailed Exam Coverage: Understand the core AWS services related to data engineering, including data ingestion, transformation, and pipeline orchestration.
• Practice Quizzes: Challenge yourself with practice quizzes designed to simulate the actual exam, complete with detailed explanations for each answer.
• Real-World Scenarios: Learn how to apply AWS services to real-world data engineering problems, ensuring you can translate theoretical knowledge into practical skills.
• Hands-On Labs: Gain hands-on experience with step-by-step labs that guide you through using AWS services like AWS Glue, Amazon Redshift, Amazon S3, and more.
• Expert Insights: Benefit from the expertise of Etienne Noumen, who shares valuable tips, best practices, and insights from his extensive career in data engineering.
This book goes beyond rote memorization, encouraging you to develop a deep understanding of AWS data engineering concepts and their practical applications. Whether you are an experienced data engineer or new to the field, “Ace the AWS Certified Data Engineer Exam” will equip you with the knowledge and skills needed to excel.
Prepare to advance your career, validate your expertise, and become a certified AWS Data Engineer. Embrace the journey of learning, practice consistently, and master the tools and techniques that will set you apart in the rapidly evolving world of cloud data solutions.
Get your copy today and start your journey towards AWS certification success!
A finance company is storing paid invoices in an Amazon S3 bucket. After the invoices are uploaded, an AWS Lambda function uses Amazon Textract to process the PDF data and persist the data to Amazon DynamoDB. Currently, the Lambda execution role has the following S3 permission:
The company wants to correct the role permissions specific to Amazon S3 according to security best practices.
Which solution will meet these requirements?
Append “s3:GetObject” to the Action. Append the bucket name to the Resource.
Modify the Action to be “s3:GetObjectAttributes.” Modify the Resource to be only the bucket name.
Append “s3:GetObject” to the Action. Modify the Resource to be only the bucket ARN.
Modify the Action to be: “s3:GetObject.” Modify the Resource to be only the bucket ARN.
Practice Quiz 1 – Correct Answer: D.
According to the principle of least privilege, permissions should apply only to what is necessary. The Lambda function needs only the permissions to get the object. Therefore, this solution has the most appropriate modifications.
A data engineer is designing an application that will transform data in containers managed by Amazon Elastic Kubernetes Service (Amazon EKS). The containers run on Amazon EC2 nodes. Each containerized application will transform independent datasets and then store the data in a data lake. Data does not need to be shared to other containers. The data engineer must decide where to store data before transformation is complete.
Which solution will meet these requirements with the LOWEST latency?
Containers should use an ephemeral volume provided by the node’s RAM.
Containers should establish a connection to Amazon DynamoDB Accelerator (DAX) within the application code.
Containers should use a PersistentVolume object provided by an NFS storage.
Containers should establish a connection to Amazon MemoryDB for Redis within the application code.
Practice Quiz 2 – Correct Answer: A.
Amazon EKS is a container orchestrator that provides Kubernetes as a managed service. Containers run in pods. Pods run on nodes. Nodes can be EC2 instances, or nodes can use AWS Fargate. Ephemeral volumes exist with the pod’s lifecycle. Ephemeral volumes can access drives or memory that is local to the node. The data does not need to be shared, and the node provides storage. Therefore, this solution will have lower latency than storage that is external to the node.
Free beginner level courses from AWS Skill builder.
Fundamentals of Data Analytics on AWS – the current Skillbuilder course linked from the certification site is ending in Feb and is being split into 2 new courses :
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