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AWS Automation Practice Exam

AWS Automation Practice Exam


About AWS Automation Exam

AWS automation is essential for managing cloud resources efficiently without manual intervention. Boto3, the official Python SDK for AWS, allows developers to create, update, and manage AWS services using Python scripts. In combination with AWS Lambda, which enables serverless execution of scripts, Boto3 helps in automating tasks such as starting and stopping EC2 instances, managing S3 storage, handling IAM roles, and automating AWS operations across multiple regions. This course covers both writing and executing Boto3 scripts locally and running them as AWS Lambda functions, helping learners build real-world automation solutions for cloud infrastructure management.


Skills Required

To effectively follow this course, learners should have:

  • Basic Python programming skills.
  • Understanding of AWS cloud services (EC2, S3, IAM, Lambda).
  • Familiarity with Linux and Windows environments for script execution.
  • Logical thinking and problem-solving abilities for automation tasks.

Prior knowledge of Boto3 or AWS Lambda is not required, as the course begins with fundamental concepts before moving on to advanced automation techniques.


Knowledge Area

This course provides detailed training in:

  • Setting up and configuring Boto3 for AWS automation.
  • Understanding different Boto3 session types and how to manage them.
  • Working with EC2, S3, and IAM services using Python scripts.
  • Implementing AWS Lambda functions for automated AWS resource management.
  • Utilizing Boto3 paginators, waiters, and meta objects for improved efficiency.
  • Handling errors and exceptions in Boto3 scripts.
  • Executing AWS automation tasks using IAM roles and security best practices.


Who should take This Course?

This course is ideal for:

  • Cloud engineers and AWS administrators looking to automate AWS infrastructure.
  • Python developers wanting to integrate AWS services into their applications.
  • DevOps professionals who want to streamline cloud resource management.
  • IT professionals seeking AWS automation skills to enhance their expertise.
  • Anyone preparing for AWS certifications and looking to master Boto3 and Lambda functions.

Prerequisites:

  • Basic Python programming knowledge.
  • Familiarity with AWS services like EC2, IAM, S3 (recommended but not required).


Course Content Overview

The AWS Automation Exam covers the following topics - 

Domain 1. Introduction to AWS Automation & Environment Setup

  • Understanding the objectives and key concepts of the course.
  • Prerequisites and tools required for setting up AWS automation.
  • Overview of Boto3 and its role in AWS service management.
  • Step-by-step guide to installing Python and Boto3 on Windows and Linux servers.
  • Configuring Boto3 environment on different operating systems.
  • Executing a test script to verify the Boto3 setup on local servers.
  • Exploring different types of Boto3 sessions and their applications.


Domain 2. Understanding Boto3 Documentation for AWS Automation

  • Navigating Boto3 documentation for implementing Python scripts.
  • How to write Python scripts using the Boto3 client object.
  • How to use the Boto3 resource object for managing AWS services.


Domain 3. Working with AWS Security Token Service (STS)

  • Retrieving AWS account details using STS.


Domain 4. Managing EC2 Services with Boto3 - Part 1

  • Writing basic Python Boto3 scripts for EC2 instance management.
  • Creating a menu-driven script for performing start, stop, and termination actions on EC2 instances.


Domain 5. Using EC2 Waiters for Automated State Monitoring

  • Understanding what waiters are and how they help monitor EC2 instance states.
  • Implementing EC2 waiters to automate instance state transitions.


Domain 6. Understanding Boto3 Meta Objects

  • Exploring the meta object feature in Boto3 for AWS resource management.


Domain 7. Managing EC2 Instances with Boto3 Collections

  • Introduction to Boto3 collections and how they simplify resource management.
  • Using collection objects to start, stop, terminate, and monitor multiple instances at once.


Domain 8. Advanced EC2 Management with Boto3 - Part 2

  • Writing Python scripts to identify and delete unused or untagged EBS volumes.
  • Creating an inventory of running EC2 instances for auditing.
  • Listing available snapshots and filtering them based on size and creation date.


Domain 9. Executing Boto3 Scripts Using IAM Roles

  • Understanding IAM roles and their importance in AWS automation.
  • Executing Python Boto3 scripts from an EC2 instance with an attached IAM role.


Domain 10. Handling Errors in Boto3 with Botocore Modules

  • Introduction to error handling in Boto3.
  • Implementing exception handling to manage AWS API failures gracefully.


Domain 11. Managing AWS IAM Users with Boto3

  • Retrieving IAM user details and listing all IAM users in an AWS account.
  • Generating random passwords using Python for IAM user creation.
  • Creating new IAM users with console login access using Boto3.


Domain 12. AWS Automation Using Lambda Functions - Part 1

  • Introduction to AWS Lambda and how it integrates with Boto3 for automation.
  • Writing a Lambda function to automatically start and stop EC2 instances.
  • Sending automated email alerts when EC2 instances transition to a stopped state.
  • Creating Lambda functions to automate snapshots for EBS volumes.
  • Setting up automated EBS snapshot copies across multiple AWS regions.


Domain 13. Using Boto3 Paginators for Efficient Data Retrieval

  • Understanding how paginators work to handle large sets of AWS resources.
  • Implementing paginators in Python scripts to fetch large lists of AWS resources.


Domain 14. Managing AWS S3 Storage with Boto3

  • Understanding Boto3 concepts for managing AWS S3 buckets and objects.
  • Writing Python scripts to list all S3 buckets and their contents.
  • Using paginators to retrieve large lists of S3 objects efficiently.


Domain 15. AWS Automation Using Lambda Functions - Part 2

  • Creating a Lambda function to reassign secondary IP addresses to a backup instance when the primary instance goes down.

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