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

Step-by-Step Explanation:

Understand the Problem:

Users report that file retrieval from the Amazon EFS file system is slower than normal.

Analyze the Requirements:

Improve the performance of the EFS file system to handle increased usage and file retrieval speed.

Evaluate the Options:

Option A: Configure the file system for Provisioned Throughput.

Provisioned Throughput mode allows you to specify the throughput of your file system independent of the amount of data stored.

This option is suitable for applications with high throughput-to-storage ratio requirements and ensures consistent performance.

Option B: Enable encryption in transit on the file system.

While this enhances security, it does not directly improve performance.

Option C: Identify any unused files in the file system, and remove the unused files.

This may free up some resources but does not address the root cause of slow performance.

Option D: Resize the Amazon EBS volume of each of the EC2 instances.

EFS performance issues are not directly related to the size of EBS volumes attached to EC2 instances.

Select the Best Solution:

Option A: Configuring the file system for Provisioned Throughput ensures consistent performance by allowing you to set the required throughput regardless of the amount of data stored.

References:

Amazon EFS Performance

Provisioned Throughput Mode

Configuring Provisioned Throughput for Amazon EFS provides a consistent and higher performance level, which is suitable for high throughput requirements.

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.

References:

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.

To efficiently transfer a significant amount of data between VPCs in different regions, establishing an inter-region VPC peering connection is the most cost-effective method. This setup allows direct network connectivity between two VPCs in different regions, which can handle large data transfers without the need for intermediate devices or services. Option C is the most straightforward and economical choice for this requirement. Further details can be found in the AWS documentation on VPC Peering VPC Peering.

To refer to resources created by the first CloudFormation template in the second template with minimal administrative effort, using the export and import functionality is the most efficient approach.

Exporting Outputs in the First Template:

In the first CloudFormation template, add an Outputs section to export the required values.

Use the Export field to specify the name of the exported value.

Example:

Outputs:

VPCID:

Description: The VPC ID

Value: !Ref MyVPC

Export:

Name: VPCID

Importing Values in the Second Template:

In the second CloudFormation template, use the Fn::ImportValue function to import the exported values from the first template.

Example:

Resources:

MySubnet:

Type: AWS::EC2::Subnet

Properties:

VpcId: !ImportValue VPCID

Efficiency and Best Practices:

This method ensures a clean separation of resources and allows easy reference to outputs from other stacks.

It simplifies the management and deployment process by leveraging CloudFormation's built-in export and import mechanisms.

References:

AWS CloudFormation Exporting Stack Output Values

AWS CloudFormation Importing Values