Authentic Amazon Web Services Certification Exam SOA-C02 Questions Answers

Step-by-Step Explanation:

AWS Budgets Overview:

AWS Budgets enables you to set custom cost and usage budgets, and it provides alerts when you exceed those thresholds. It is designed for cost management with minimal operational overhead.

Recurring Cost Budget Creation:

Go to the AWS Budgets Console.

Select Create a budget.

Choose the Cost budget option.

Define whether this budget tracks actual costs or forecasted costs (you will create two budgets, one for each).

Configure the Budget Thresholds:

Set your budget thresholds for both actual costs and forecasted costs.

For example:

Actual Costs Alert: Budget = $1000, Alert at 80% usage ($800).

Forecasted Costs Alert: Budget = $1000, Alert at forecasted usage exceeding 80% ($800).

Alert Configuration:

In the budget creation process, enable Notifications and Actions.

Specify the email addresses or an Amazon SNS Topic to receive alerts.

Set up alerts for both:

Actual Cost Exceeding Budget.

Forecasted Cost Exceeding Budget.

Amazon SNS Setup:

If using an SNS topic, ensure an Amazon SNS topic is created.

Grant appropriate permissions for the Budget service to publish to the SNS topic.

Add subscribers (e.g., email addresses or endpoints) to the SNS topic.

Automation and Monitoring:

Once set up, AWS Budgets continuously monitors actual and forecasted costs.

Alerts are sent automatically when thresholds are breached, reducing manual overhead and reliance on periodic monitoring.

Why This is the Best Option (Least Operational Overhead):

AWS Budgets directly integrates with SNS, allowing real-time alerts without building custom workflows or parsing reports.

It is a native AWS service specifically designed for cost tracking, minimizing complexity and setup time.

No custom code or additional services like Lambda or Step Functions are required, reducing operational maintenance.

Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon RDS that helps improve the scalability, availability, and security of database applications. It allows applications to pool and share database connections, reducing the overhead associated with opening and closing connections, which can be particularly beneficial in scenarios with fluctuating workloads, such as those managed by Auto Scaling groups.

By implementing RDS Proxy, you can:

Reduce CPU and Memory Overhead:By managing a pool of connections, RDS Proxy reduces the number of active connections to the database, thereby decreasing the CPU and memory usage on the RDS instance.

Improve Application Scalability:RDS Proxy can handle a large number of simultaneous connections, making it easier to scale applications without overloading the database.

Enhance Availability:In the event of a database failover, RDS Proxy can automatically connect to a standby database instance, preserving application connections and reducing failover times.

Therefore, creating an RDS Proxy and configuring it to connect to the existing PostgreSQL database is the most effective solution to meet the company's requirements.

 Group EC2 Instances Using Resource Groups:

Resource groups help organize and manage AWS resources based on tags and other criteria.

Steps:

Go to the AWS Management Console.

Navigate to AWS Resource Groups.

Create resource groups for similar EC2 instances based on tags or other criteria.

AWS Resource Groups

 Create a Schedule in Patch Manager:

AWS Systems Manager Patch Manager automates the process of patching managed instances.

Steps:

Go to the AWS Management Console.

Navigate to Systems Manager and select Patch Manager.

Create a patch baseline if not already created.

Create a schedule for patching and specify the resource group as the target.