Pass the Amazon Web Services AWS Certified Associate SOA-C02 Questions and answers with CertsForce

To enforce compliance with tagging policies in real-time:

AWS Config Setup: Implement an AWS Config rule to continuously monitor and evaluate EC2 instances for compliance with the tagging requirements. The required-tags managed rule can be configured to specifically check for the presence of a 'department' tag.

Automatic Remediation: Configure AWS Config to automatically execute the AWS-TerminateEC2Instance Systems Manager Automation document as a remediation action. This runbook will terminate any EC2 instance identified as noncompliant due to missing required tags.

Operational Efficiency: This setup allows for the enforcement of company tagging policies automatically and in near real-time, reducing the manual overhead of monitoring and ensuring compliance.

This method provides an efficient and effective solution to ensure that all EC2 instances meet the company's tagging requirements and that any noncompliant instances are dealt with promptly.

The MixedInstancesPolicy feature in Auto Scaling groups allows for the configuration of both On-Demand and Spot Instances within a single Auto Scaling group, balancing cost savings and high availability:

MixedInstancesPolicy: Enables configuration to maintain a minimum of three On-Demand Instances and add Spot Instances when prices drop, without the need to create separate launch templates.

Setting Maximum Spot Price: Ensures that additional Spot Instances are launched only when within the defined budget.

This solution offers the least management overhead, as it combines both On-Demand and Spot instances seamlessly in one configuration.

To monitor free space on Amazon EBS volumes attached to Microsoft Windows-based Amazon EC2 instances and receive email alerts before low storage space affects performance, follow these steps:

Install the Amazon CloudWatch Agent:

Download and install the CloudWatch agent on your Windows EC2 instances.

To resolve issues with high disk I/O during the bootstrap process:

Increase EBS Volume IOPS: Higher IOPS allows the EBS volume to handle more input/output operations per second, which is critical for high I/O demands like downloading large Docker images.

Increase EBS Volume Throughput: Boosting throughput allows for faster data transfer rates, which is useful when the workload requires sustained high data throughput during initialization.

Increasing the instance size or changing the instance type is not necessary if the root cause is related specifically to EBS performance. Nitro instances generally provide higher performance and are well-suited for high I/O tasks.

The most operationally efficient solution is to use the organization ARN to share the AMI across all accounts within AWS Organizations.

AMI Sharing with Organization ARN: AWS allows you to share AMIs with an entire AWS Organization by specifying the organization’s ARN, simplifying access management for multiple accounts.

Efficient Management: This approach eliminates the need to share AMIs individually with each account or make them public, and it avoids the complexity of using snapshots.

Making the AMI public is not secure, and using AWS Marketplace or snapshots does not provide the operational efficiency required.

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.

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.

You might want to use Transfer Acceleration on a bucket for various reasons: ->Your customers upload to a centralized bucket from all over the world. ->You transfer gigabytes to terabytes of data on a regular basis across continents. ->You can't use all of your available bandwidth over the internet when uploading to Amazon S3." https://docs.aws.amazon.com/AmazonS3/latest/userguide/transfer-acceleration.html

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/Cookies.html

You can configure each cache behavior to do one of the following: Forward all cookies to your origin – CloudFront includes all cookies sent by the viewer when it forwards requests to the origin. https://docs.aws.amazon.com/elasticloadbalancing/latest/application/sticky-sessions.html

By default, an Application Load Balancer routes each request independently to a registered target based on the chosen load-balancing algorithm.

To prevent an account from leaving an AWS Organization, you use an SCP to deny the organizations:LeaveOrganization action.

From AWS Organizations documentation:

You can use a deny statement on organizations:LeaveOrganization to prevent accounts from leaving your AWS Organization.

A mount target provides an IP address for an NFSv4 endpoint at which you can mount an Amazon EFS file system. You mount your file system using its Domain Name Service (DNS) name, which resolves to the IP address of the EFS mount target in the same Availability Zone as your EC2 instance. You can create one mount target in each Availability Zone in an AWS Region. If there are multiple subnets in an Availability Zone in your VPC, you create a mount target in one of the subnets. Then all EC2 instances in that Availability Zone share that mount target. https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html