Exam Readiness: AWS Certified DevOps Engineer – Professional - Training Courses | Afi U.

Exam Readiness: AWS Certified DevOps Engineer – Professional

Prepare for the AWS Certified DevOps Engineer - Professional exam with this training. Understand the structure and type of exam questions.
AWS Training Partner
Private session

This training is available in a private or personalized format. It can be provided in one of our training centres or at your offices. Call one of our consultants of submit a request online.

Call now at 1 877 624.2344

  • Duration: 1 day
  • Regular price: On request

Course outline

Duration : 1 day

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The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. Join this full-day, advanced-level course to learn how to prepare for the exam by exploring the exam’s topic areas and how they map to DevOps on AWS and to specific areas to study. We will review sample exam questions in each topic area and teach you how to interpret the concepts being tested so that you can more easily eliminate incorrect responses. This course covers the core principles of the DevOps methodology.

Audience

This course is intended for:
  • DevOps engineers
  • Solution architects
  • Systems administrators

Prerequisites

We recommend that attendees of this course have the following prerequisites:
  • Two or more years’ experience provisioning, operating, and managing AWS environments
  • Good working knowledge of AWS core services
  • Experience working with a programming or scripting language
  • Familiarity with the Linux or Windows operating system and AWS command line interface

Contents

In this course, you will learn how to:

  • Prepare for the AWS Certified DevOps Engineer – Professional exam
  • Implement and manage continuous delivery systems and methodologies on AWS
  • Implement and automate security controls, governance processes, and compliance validation
  • Define and deploy monitoring, metrics, and logging systems on AWS
  • Implement systems that are highly available, scalable, and self-healing on the AWS platform
  • Design, manage, and maintain tools to automate operational processes