AWS Management Console walkthrough - Mini Project: Build & Apply

AWS Management Console walkthrough

📖 Scenario: You are starting to learn how to use the AWS Management Console. This console is a web interface where you can create and manage cloud resources like servers, storage, and databases.Imagine you want to organize your cloud resources by creating a simple setup with a virtual server and a storage bucket.

🎯 Goal: Build a basic AWS setup by creating a virtual server instance and a storage bucket using the AWS Management Console steps.

📋 What You'll Learn

Create a dictionary called aws_resources with keys EC2 and S3 and empty lists as values

Add a configuration variable called region with the value us-east-1

Add an EC2 instance dictionary with keys InstanceId set to i-1234567890abcdef0 and Type set to t2.micro inside the EC2 list

Add an S3 bucket dictionary with keys BucketName set to my-first-bucket and Region set to the region variable inside the S3 list

💡 Why This Matters

🌍 Real World

Cloud engineers often organize and track their AWS resources using scripts or infrastructure as code. This project simulates the basic structure of AWS resources as seen in the AWS Management Console.

💼 Career

Understanding how to represent and manage cloud resources programmatically is essential for roles like Cloud Engineer, DevOps Engineer, and Cloud Architect.

1

Create the initial AWS resources dictionary

Create a dictionary called aws_resources with keys 'EC2' and 'S3', each having an empty list as its value.

AWS

# Create the aws_resources dictionary with 'EC2' and 'S3' keys and empty lists
# Your code here

Hint

Use curly braces to create a dictionary. The keys are strings 'EC2' and 'S3'. The values are empty lists.

2

Add the AWS region configuration

Add a variable called region and set it to the string 'us-east-1'.

AWS

aws_resources = {'EC2': [], 'S3': []}
# Create a variable called region and set it to 'us-east-1'
# Your code here

Hint

Just assign the string 'us-east-1' to the variable named region.

3

Add an EC2 instance to the resources

Add a dictionary with keys 'InstanceId' set to 'i-1234567890abcdef0' and 'Type' set to 't2.micro' inside the EC2 list in aws_resources.

AWS

aws_resources = {'EC2': [], 'S3': []}
region = 'us-east-1'
# Add the EC2 instance dictionary to aws_resources['EC2'] list
# Your code here

Hint

Use the append() method on the list aws_resources['EC2'] to add the instance dictionary.

4

Add an S3 bucket to the resources

Add a dictionary with keys 'BucketName' set to 'my-first-bucket' and 'Region' set to the variable region inside the S3 list in aws_resources.

AWS

aws_resources = {'EC2': [], 'S3': []}
region = 'us-east-1'
aws_resources['EC2'].append({'InstanceId': 'i-1234567890abcdef0', 'Type': 't2.micro'})
# Add the S3 bucket dictionary to aws_resources['S3'] list
# Your code here

Hint

Use the append() method on the list aws_resources['S3'] to add the bucket dictionary. Use the variable region for the Region value.

Practice

1. What is the primary purpose of the AWS Management Console?

easy

A. To provide a user-friendly website for managing AWS cloud services

B. To write and deploy AWS Lambda functions using code

C. To monitor local computer hardware performance

D. To install software on your personal computer

Solution

1. Step 1: Understand the AWS Management Console role

   The console is a website that lets users manage AWS services easily without coding.

2. Step 2: Compare options with this role

   Only To provide a user-friendly website for managing AWS cloud services describes a user-friendly website for managing AWS cloud services.

3. Final Answer:

   To provide a user-friendly website for managing AWS cloud services -> Option A

4. Quick Check:

   AWS Management Console = user-friendly website [OK]

Hint: Console is a website for managing AWS, not coding or local tasks [OK]

Common Mistakes:

• Confusing console with coding tools
• Thinking it manages local computer hardware
• Assuming it installs software on personal devices

2. Which of the following is the correct way to log in to the AWS Management Console?

easy

A. Run the AWS CLI command 'aws login' in your terminal

B. Open the AWS website and click 'Sign In to the Console' using your AWS account credentials

C. Install the AWS Console app on your phone and enter your email

D. Send an email to AWS support requesting console access

Solution

1. Step 1: Identify the login method for AWS Management Console

   You log in via the AWS website by clicking 'Sign In to the Console' and entering credentials.

2. Step 2: Eliminate incorrect options

   Options A, C, and D describe incorrect or non-existent login methods.

3. Final Answer:

   Open the AWS website and click 'Sign In to the Console' using your AWS account credentials -> Option B

4. Quick Check:

   Login via AWS website sign-in page = B [OK]

Hint: Login via AWS website sign-in, not CLI or email [OK]

Common Mistakes:

• Trying to login using CLI commands
• Looking for a mobile app login
• Requesting access by email

3. After logging into the AWS Management Console, you want to create a new S3 bucket. Which sequence of actions is correct?

medium

A. Click 'Services' > Select 'S3' > Click 'Create bucket' > Fill bucket details > Click 'Create bucket'

B. Click 'Dashboard' > Select 'EC2' > Click 'Launch Instance' > Fill instance details > Click 'Create bucket'

C. Click 'Services' > Select 'Lambda' > Click 'Create function' > Fill function details > Click 'Create bucket'

D. Click 'Billing' > Select 'S3' > Click 'Create bucket' > Fill bucket details > Click 'Create bucket'

Solution

1. Step 1: Navigate to S3 service in the console

   From the console, click 'Services' then select 'S3' to manage storage buckets.

2. Step 2: Create a new bucket

   Click 'Create bucket', fill in the required details, then click 'Create bucket' to finish.

3. Final Answer:

   Click 'Services' > Select 'S3' > Click 'Create bucket' > Fill bucket details > Click 'Create bucket' -> Option A

4. Quick Check:

   S3 bucket creation = Click 'Services' > Select 'S3' > Click 'Create bucket' > Fill bucket details > Click 'Create bucket' [OK]

Hint: S3 buckets created under Services > S3, not EC2 or Lambda [OK]

Common Mistakes:

• Confusing S3 with EC2 or Lambda services
• Trying to create bucket under Billing
• Skipping the 'Create bucket' button

4. You tried to create an EC2 instance but the 'Launch Instance' button is disabled. What is the most likely reason?

medium

A. You have already launched the maximum number of instances allowed

B. Your internet connection is too slow

C. You are logged out of the AWS Management Console

D. You have not selected a valid Amazon Machine Image (AMI)

Solution

1. Step 1: Understand EC2 launch requirements

   To enable 'Launch Instance', you must select a valid AMI first.

2. Step 2: Evaluate other options

   Internet speed or login status usually prevent page loading, not button disabling. Maximum instances limit causes errors after launch, not button disable.

3. Final Answer:

   You have not selected a valid Amazon Machine Image (AMI) -> Option D

4. Quick Check:

   Launch button disabled = missing AMI selection [OK]

Hint: Launch button disabled? Check if AMI is selected [OK]

Common Mistakes:

• Assuming slow internet disables buttons
• Thinking logout disables buttons instead of access
• Confusing max instances error with button disable

5. You want to monitor the CPU usage of your EC2 instances using the AWS Management Console. Which steps should you follow?

hard

A. Go to 'Billing' > Select 'Reports' > View CPU usage report

B. Go to 'Services' > Select 'EC2' > Click 'Launch Instance' > View CPU usage on launch page

C. Go to 'Services' > Select 'CloudWatch' > Click 'Metrics' > Choose 'EC2' > Select 'CPUUtilization' metric

D. Go to 'Services' > Select 'S3' > Click 'Buckets' > Check CPU usage in bucket details

Solution

1. Step 1: Access CloudWatch service

   CloudWatch is AWS's monitoring service accessible via 'Services' > 'CloudWatch'.

2. Step 2: Find EC2 CPU metrics

   Within CloudWatch, click 'Metrics', select 'EC2', then choose 'CPUUtilization' to see CPU usage.

3. Final Answer:

   Go to 'Services' > Select 'CloudWatch' > Click 'Metrics' > Choose 'EC2' > Select 'CPUUtilization' metric -> Option C

4. Quick Check:

   Monitor EC2 CPU via CloudWatch metrics = D [OK]

Hint: Use CloudWatch Metrics for EC2 CPU monitoring, not EC2 or S3 pages [OK]

Common Mistakes:

• Looking for CPU info in EC2 launch page
• Checking S3 buckets for CPU data
• Searching billing reports for CPU usage