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HashiCorp Terraform Associate (003) Exam Guide

HashiCorp Terraform Associate (003) Exam Guide

By : Chandra Mohan Dhanasekaran, Manjunath H. Gowda
5 (19)
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HashiCorp Terraform Associate (003) Exam Guide

HashiCorp Terraform Associate (003) Exam Guide

5 (19)
By: Chandra Mohan Dhanasekaran, Manjunath H. Gowda

Overview of this book

This HashiCorp Terraform Associate (003) exam guide simplifies technical content relating to the exam and helps you learn using real-world examples. The book is aligned with the latest exam objectives, which enables you to streamline your learning experience instead of referring to multiple sources for preparation. Moreover, the book is designed to serve as a "one-stop solution" for readers with varied levels of experience in Terraform. You'll learn how to efficiently provision and manage cloud and on-premises infrastructure using Terraform. As you progress, you’ll focus on essential commands, state management techniques, and best practices. Later chapters will show you how to harness the power of Terraform modules for code reusability and scalability. You’ll also gain insights into advanced topics such as debugging, troubleshooting, and leveraging Terraform Cloud and Terraform Enterprise for collaborative infrastructure management. This book provides you with lifetime access to supplementary practice resources such as mock exams, flashcards, and exam tips from experts. By the end of this book, you’ll have the knowledge and skills you need to confidently tackle the Terraform Associate certification exam and excel in your career.
Table of Contents (13 chapters)
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Input Validations

In real-world scenarios, it is very common to get the necessary inputs from the user and provision the infrastructure accordingly. For example, you can assume that you are part of a central DevOps team that is involved in setting up the CICD pipelines for any team requiring your service. In this case, they might need to provide basic inputs such as application name/ID, cloud-specific details such as region, and so on.

If the infrastructure provisioning is automated from your end, such that the workflow will trigger directly when the user provides the input via a ticket, it becomes necessary to run the workflow for valid inputs only. Manual errors in inputs would also need to be filtered as early as possible.

This is where input validations will help, and in Terraform, this can be achieved by adding the validation {} block with the condition argument specifying the rules in the form of expressions. If the result of the expression is TRUE, the input will be considered...

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