Book Image

AWS Certified Cloud Practitioner Exam Guide

By : Rajesh Daswani
3 (1)
Book Image

AWS Certified Cloud Practitioner Exam Guide

3 (1)
By: Rajesh Daswani

Overview of this book

Amazon Web Services is the largest cloud computing service provider in the world. Its foundational certification, AWS Certified Cloud Practitioner (CLF-C01), is the first step to fast-tracking your career in cloud computing. This certification will add value even to those in non-IT roles, including professionals from sales, legal, and finance who may be working with cloud computing or AWS projects. If you are a seasoned IT professional, this certification will make it easier for you to prepare for more technical certifications to progress up the AWS ladder and improve your career prospects. The book is divided into four parts. The first part focuses on the fundamentals of cloud computing and the AWS global infrastructure. The second part examines key AWS technology services, including compute, network, storage, and database services. The third part covers AWS security, the shared responsibility model, and several security tools. In the final part, you'll study the fundamentals of cloud economics and AWS pricing models and billing practices. Complete with exercises that highlight best practices for designing solutions, detailed use cases for each of the AWS services, quizzes, and two complete practice tests, this CLF-C01 exam study guide will help you gain the knowledge and hands-on experience necessary to ace the AWS Certified Cloud Practitioner exam.
Table of Contents (23 chapters)
1
Section 1: Cloud Concepts
5
Section 2: AWS Technologies
16
Section 3: AWS Security
18
Section 4: Billing and Pricing
20
Chapter 16: Mock Tests

Exercise 14.1 – preventing data leaks with Amazon Macie

In this exercise, you will use Amazon Macie to monitor a single Amazon S3 bucket and identify whether any PII was stored in the bucket. Imagine a scenario where a user in your organization has uploaded a sensitive file to the wrong Amazon S3 bucket. In our example, we have a product details bucket, which would contain product information that can be accessed by the marketing team. However, because of poorly configured access policies, a member of the HR team has uploaded sensitive employee information into this bucket.

This could result in data leaks. While you want to ensure that users are restricted to which buckets they can access, sometimes, accidents do happen. Amazon Macie can detect content that's uploaded to S3 buckets and identify specific types of sensitive data. You can then take the appropriate action.

Step 1 – creating a new Amazon S3 bucket

  1. Navigate to Amazon S3 and click on the Buckets...