Amazon Web Services Updated SOA-C02 Exam Questions and Answers by niam

AWS Single Sign-On (AWS SSO) provides a centralized interface to manage SSO access to multiple AWS accounts and business applications. AWS SSO integrates with AWS Organizations and supports SAML 2.0 identity providers, making it an ideal solution for centrally managing user access and permissions across multiple AWS accounts.

AWS Single Sign-On (AWS SSO):

AWS SSO allows you to manage SSO access and user permissions to all of your AWS accounts and applications.

It integrates seamlessly with AWS Organizations.

Integration with SAML 2.0 IdP:

AWS SSO supports integration with third-party SAML 2.0 identity providers.

This allows centralized management of user identities and access.

Steps to Implement:

Enable AWS SSO in your AWS Organizations management account.

Configure AWS SSO to connect with your third-party SAML 2.0 IdP.

Assign user permissions and roles for each AWS account through AWS SSO.

References:

AWS Single Sign-On

Integrating AWS SSO with SAML 2.0 Identity Providers

To secure the S3 bucket and allow access only from CloudFront, the following steps should be taken:

Create an OAI in CloudFront:

In the CloudFront console, create an origin access identity (OAI) and associate it with your CloudFront distribution.

Step-by-Step Explanation:

Understand the Problem:

The company has a stateless application on 10 EC2 On-Demand Instances in an Auto Scaling group.

At least 6 instances are needed to meet service requirements.

The goal is to maintain uptime cost-effectively.

Analyze the Requirements:

Maintain a minimum of 6 instances to meet service requirements.

Optimize costs by using a mix of instance types.

Evaluate the Options:

Option A: Use a Spot Fleet with an On-Demand capacity of 6 instances.

Spot Fleets allow you to request a combination of On-Demand and Spot Instances.

Ensuring a minimum of 6 On-Demand Instances guarantees the required capacity while leveraging lower-cost Spot Instances to meet additional demand.

Option B: Update the Auto Scaling group with a minimum of 6 On-Demand Instances and a maximum of 10 On-Demand Instances.

This option ensures the minimum required capacity but does not optimize costs since it only uses On-Demand Instances.

Option C: Update the Auto Scaling group with a minimum of 1 On-Demand Instance and a maximum of 6 On-Demand Instances.

This does not meet the requirement of maintaining at least 6 instances at all times.

Option D: Use a Spot Fleet with a target capacity of 6 instances.

This option relies entirely on Spot Instances, which may not always be available, risking insufficient capacity.

Select the Best Solution:

Option A: Using a Spot Fleet with an On-Demand capacity of 6 instances ensures the necessary uptime with a cost-effective mix of On-Demand and Spot Instances.

References:

Amazon EC2 Auto Scaling

Amazon EC2 Spot Instances

Spot Fleet Documentation

Using a Spot Fleet with a combination of On-Demand and Spot Instances offers a cost-effective solution while ensuring the required minimum capacity for the application.

# Enable instance scale-in protection for specific instance.

aws autoscaling set-instance-protection --instance-ids i-5f2e8a0d --auto-scaling-group-name my-asg --protected-from-scale-in

# Disable instance scale-in protection for the specified instance.

aws autoscaling set-instance-protection --instance-ids i-5f2e8a0d --auto-scaling-group-name my-asg --no-protected-from-scale-in

https://docs.aws.amazon.com/autoscaling/ec2/userguide/ec2-auto-scaling-instance-protection.html

To ensure that EC2 instances in an Auto Scaling group are not interrupted during message processing, the most effective method is to implement scale-in protection for the instances while they are actively processing messages. This can be done programmatically by modifying the Auto Scaling group's settings using the Amazon EC2 Auto Scaling API.

Starting Message Processing: When an instance begins processing a message, your application should make an API call to enable scale-in protection. This is done using the SetInstanceProtection action, setting the ProtectedFromScaleIn parameter to true for that specific instance.

Completing Message Processing: Once the message has been processed, another API call should be made to disable scale-in protection. This is done by calling the SetInstanceProtection action again, but this time setting the ProtectedFromScaleIn parameter to false.

This method ensures that while messages are being processed, the instances are not terminated by the Auto Scaling group regardless of any scale-in activities that might be triggered by other parameters like CPU utilization or a decrease in the number of messages in the queue.

AWS Documentation Reference:You can refer to the AWS documentation on managing instance scale-in protection in Auto Scaling groups for more details: Instance Scale-In Protection.