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  • Book Overview & Buying AWS Certified Cloud Practitioner Study Guide: CLF-C01 Exam
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AWS Certified Cloud Practitioner Study Guide: CLF-C01 Exam

AWS Certified Cloud Practitioner Study Guide: CLF-C01 Exam

By : Ben Piper, David Clinton
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AWS Certified Cloud Practitioner Study Guide: CLF-C01 Exam

AWS Certified Cloud Practitioner Study Guide: CLF-C01 Exam

By: Ben Piper, David Clinton

Overview of this book

AWS certifications validate the technical skills and knowledge required for building secure and reliable applications on the AWS cloud. The AWS Certified Cloud Practitioner certification is for individuals who have the knowledge and skills necessary to demonstrate an understanding of the AWS Cloud, independent of specific technical roles addressed by other AWS certifications. An AWS Certified Cloud Practitioner is a recommended path to achieving specialty certification or an optional start toward Associate certification. This guide provides a solid introduction and the resources you need to prove your knowledge in the exam. It covers all topics, beginning with what the AWS cloud and its basic global infrastructure and architectural principles. Other chapters dive into the technical, exploring core characteristics of deploying and operating in the AWS Cloud Platform, as well as basic security and compliance aspects and the shared security model. The text identifies sources of documentation or technical assistance, such as white papers or support tickets. The authors discuss the AWS Cloud value proposition and define billing, account management, and pricing models. This includes describing the key services AWS can provide and their common use cases such as compute, analytics, and so on. By the end of this book, you'll be thoroughly prepared for the foundational CLF-C01 exam.
Table of Contents (24 chapters)
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1
Cover
2
Acknowledgments
3
About the Authors
4
Table of Exercises
5
Introduction
6
Assessment Test
7
Answers to Assessment Test
20
Index
21
Advert
22
End User License Agreement

Amazon Redshift

Amazon Redshift is a specialized type of managed relational database called a data warehouse. A data warehouse stores large amounts of structured data from other relational databases and allows you to perform complex queries and analysis against that data. For example, Redshift can combine data from financial, sales, and inventory databases into a single data warehouse and then analyze or generate reports on that data.

Because data warehouses can grow quite large, they require a lot of storage. To use Redshift, you create a cluster consisting of at least one compute node and up to 128 nodes. Using dense compute nodes, you can store up to 326 TB of data on magnetic disks, and with dense storage nodes you can store up to 2 PB of data on SSDs.

Redshift’s usefulness isn’t limited to pulling in data from relational databases. Redshift Spectrum is a feature of Redshift that lets you analyze data stored in S3. The data must be structured, and you must define the...

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AWS Certified Cloud Practitioner Study Guide: CLF-C01 Exam
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