AWS Certified Cloud Practitioner (CLF-C02) Study Guide

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CLF-C02 AWS Certified Cloud Practitioner AWS cloud Well-Architected Framework high availability AWS Snowball AWS CloudFormation shared responsibility model EC2 Amazon RDS Amazon Elastic Kubernetes Service AWS Lambda cloud security AWS Artifact Amazon Guar
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Product details

  • ISBN 9798341640221
  • Publication Date: 23 Jan 2026
  • Publisher: O'Reilly Media
  • Publication City/Country: US
  • Product Form: Paperback
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Cloud computing continues to drive innovation across industries, fueling advancements like digital transformation, scalability, and the rise of artificial intelligence. Amazon Web Services is at the forefront of this evolution, and the AWS Certified Cloud Practitioner certification is the perfect entry point for anyone looking to build a strong foundation in cloud technology.

This comprehensive study guide helps you thoroughly prepare for the exam, covering cloud computing principles, AWS's global infrastructure, security best practices, pricing and billing models, and more. It also affords opportunities for hands-on practice with AWS services such as EC2, S3, RDS, and Lambda and includes test-taking strategies and a wide range of practice questions. Whether you're an IT professional, business manager, or aspiring cloud practitioner, this book will serve as your essential companion on the path to certification.

  • Understand the fundamental concepts of cloud computing and their relevance to AWS
  • Explore AWS's tools and services for business applications
  • Learn design principles and best practices for building secure, high-performing, resilient, and efficient infrastructure on AWS
  • Apply cloud concepts and principles in real-world scenarios using AWS
Tom Taulli is a consultant to various companies, such as Aisera, SnapLogic and Tad Health. He has written several books like AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment. Tom has also taught IT courses for UCLA, PluralSight and O'Reilly Media. For these, he has provided lessons in using Python to create deep learning and machine learning models. He has also taught on topics like NLP (Natural Language Processing).

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