Exam Readiness: AWS Certified DevOps Engineer – Professional

0
AWS Skill Builder
Free Online Course
English
Certificate Available
1 hour of material
selfpaced

Overview

Description

The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. Join this 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.


Intended Audience

This course is intended for:

• DevOps engineers

• Solution architects

• Systems administrators


Course Objectives

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


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


Delivery Method

This course is delivered through:

• Self-paced video training

• Sample questions


Duration

7 hours


Course Outline

This course covers the following concepts:

• Course and Exam Overview

• SDLC Automation

• Configuration Management and Infrastructure as Code

• Monitoring and Logging

• Policies and Standards Automation

• Incident and Event Response

• High Availability, Fault Tolerance, and Disaster Recovery