SOA-C02 Exam Dumps - Amazon Web Services AWS Certified Associate Questions and Answers

To centrally store traffic logs for a website delivered through Amazon CloudFront and ensure all data is encrypted at rest, using an S3 bucket with default server-side encryption is the optimal solution.

Create an S3 Bucket:

Open the Amazon S3 console at Amazon S3 Console.

Create a new S3 bucket for storing the logs.

Enable Default Encryption:

Select the S3 bucket, navigate to Properties, and enable Default encryption.

Choose AES-256 for server-side encryption.

Configure CloudFront Logging:

Open the Amazon CloudFront console at Amazon CloudFront Console.

Select the CloudFront distribution and navigate to Edit.

In the logging section, enable logging and specify the S3 bucket created for log storage.

This setup ensures that all logs are encrypted at rest using AES-256 and stored centrally in an S3 bucket.

Amazon CloudFront Access Logs

Amazon S3 Default Encryption

"You can add tags to resources when you create the resource. You can use the resource's service console or API to add, change, or remove those tags one resource at a time. To add tags to—or edit or delete tags of—multiple resources at once, use Tag Editor. With Tag Editor, you search for the resources that you want to tag, and then manage tags for the resources in your search results." https://docs.aws.amazon.com/ARG/latest/userguide/tag-editor.html

Retain the Security Group:

When deleting a CloudFormation stack, you can specify resources to be retained instead of deleted.

Steps:

Go to the AWS Management Console.

Navigate to CloudFormation and select the stack.

Choose to delete the stack.

In the deletion options, specify that the security group should be retained.

This will delete the stack but keep the security group, ensuring no impact on other applications.

Deleting a Stack

The issues experienced by users with legacy browsers typically stem from the SSL/TLS ciphers that are supported or enforced by the ALB. Modern security policies may exclude older ciphers that are necessary for compatibility with older browsers. Here’s how to resolve it:

Access the ALB Settings: Go to the AWS Management Console, navigate to the ALB settings, and locate the SSL negotiation configurations.

Modify Security Policy: Update the SSL/TLS security policy on the ALB to include ciphers that are compatible with legacy browsers. AWS provides predefined security policies, and some of these policies are designed to support older ciphers while still maintaining a level of security that complies with general best practices.

Apply Changes: Once the security policy is updated, the ALB will start using this new configuration, which should resolve compatibility issues with legacy browsers without needing to replace the SSL certificate or alter the infrastructure.

This solution maintains the operational efficiency of the setup and avoids the need for additional resources like a second ALB or new certificates.

To allow the Lambda function to access both the new RDS database in a private subnet and the internet, the Lambda function needs to be reconfigured for VPC access with a NAT gateway setup.

Reconfigure Lambda for VPC Access:

Attach the Lambda function to the private subnets where the RDS instance is located.

Add NAT gateways to the public subnets to allow outbound internet access from the private subnets.

NAT Gateway:

NAT gateways allow instances in private subnets to connect to the internet or other AWS services, but they prevent the internet from initiating connections with those instances.

Steps to Implement:

Create NAT gateways in the public subnets.

Update the route tables of the private subnets to route internet-bound traffic through the NAT gateways.

Ensure the Lambda function has the necessary IAM role permissions to access the VPC and RDS.

Configuring a Lambda Function to Access Resources in a VPC

NAT Gateways

https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/hosted-zones-private.html

To apply an existing Amazon Route 53 private hosted zone to a new VPC, the appropriate step is to associate the private hosted zone with the new VPC. This allows the resources within the VPC to use the custom DNS settings defined in the private hosted zone. Option A is the correct step to ensure that DNS queries from the new VPC are resolved using the specified private hosted zone. Detailed steps for this process can be found in the AWS Route 53 documentation on associating hosted zones with VPCs Associating Hosted Zones with VPCs.

To fix the "403 Forbidden - Access Denied" error when accessing a static website hosted on Amazon S3, you need to ensure that the objects in the bucket have the appropriate permissions for public access. Here’s how to do it:

Login to AWS Management Console:

Open the Amazon S3 console at Amazon S3 Console.

Navigate to the Bucket:

In the S3 console, select the bucket hosting the static website.

Add a Bucket Policy:

Go to the Permissions tab.

Choose Bucket Policy and add the following policy to grant public read access to all objects in the bucket:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Principal": "*",

"Action": "s3:GetObject",

"Resource": "arn:aws:s3:::your-bucket-name/*"

}

]

}

Save the Policy:

After adding the policy, save the changes.

This policy ensures that all objects in the bucket are publicly accessible, resolving the 403 Forbidden error.

Hosting a Static Website on Amazon S3

Bucket Policy Examples

To implement a highly available solution that provides the functionality to use a minimum of three On-Demand instances and three Spot instances when prices are at a certain threshold, defining an Amazon EC2 Auto Scaling group using a launch template is the most suitable solution. This approach minimizes operational overhead by consolidating configuration and management tasks.

Define a Launch Template:

Use the provided AMI in the launch template.

Configure the instance type, key pair, security groups, and other necessary parameters.

Create an Auto Scaling Group:

Use the launch template for the Auto Scaling group.

Specify a desired capacity of three On-Demand instances.

Configure the Auto Scaling group to use mixed instances policies, which allow you to specify a combination of On-Demand and Spot instances.

Set the maximum price for Spot instances in the launch template to ensure that Spot instances are used only when their prices are below the specified threshold.

Configuration Steps:

Open the EC2 console and navigate to "Launch Templates."

Create a new launch template with the necessary configurations.

Navigate to "Auto Scaling Groups" and create a new Auto Scaling group using the launch template.

Configure the desired capacity, minimum capacity, and maximum capacity.

Under "Advanced Options," specify the mixed instances policy and set the maximum price for Spot instances.

Amazon EC2 Auto Scaling Launch Templates

Auto Scaling Mixed Instances Policies

Step-by-Step Explanation:

Understand the Problem:

The application read performance degrades when user connections exceed 200.

Need to automatically scale the database based on user demand.

Analyze the Requirements:

Implement auto scaling based on user connections to ensure optimal performance.

Evaluate the Options:

Option A: Migrate to a new Aurora multi-master DB cluster.

Multi-master clusters provide read and write scalability but may require significant changes to the application.

Option B: Modify the DB cluster to serverless mode.

Aurora Serverless provides automatic scaling, but it is more suitable for variable workloads with unpredictable demand.

Option C: Create an auto scaling policy with a target metric of 195 DatabaseConnections.

This directly addresses the need to scale based on user connections.

Auto scaling can add or remove replicas to maintain optimal performance.

Option D: Increase the Aurora Replica instance size.

This may improve performance but does not address scalability for sudden increases in user connections.

Select the Best Solution:

Option C: Creating an auto scaling policy with a target metric of 195 DatabaseConnections ensures the DB cluster scales automatically to handle increased load.

Amazon Aurora Auto Scaling

Scaling Aurora DB Instances

Auto scaling based on DatabaseConnections ensures the Aurora DB cluster maintains optimal performance as user demand fluctuates.

https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/PostgreSQL.Concepts.General.SSL.htm

Amazon RDS supports SSL/TLS encryption for connections to the database, and this can be enabled by creating a custom parameter group and setting the rds.force_ssl parameter to 1. This will ensure that all connections to the database are encrypted, protecting the data and maintaining compliance with the company's requirements.l