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Amazon Web Services Updated SAA-C03 Exam Questions and Answers by ashley

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Amazon Web Services SAA-C03 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code: SAA-C03 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Associate
Questions: 649 Q&A's Shared By: ashley
Question 24

A transaction processing company has weekly scripted batch jobs that run on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group. The number of transactions can vary, but the baseline CPU utilization that is noted on each run is at least 60%. The company needs to provision the capacity 30 minutes before the jobs run.

Currently, engineers complete this task by manually modifying the Auto Scaling group parameters. The company does not have the resources to analyze the required capacity trends for the Auto Scaling group counts. The company needs an automated way to modify the Auto Scaling group's desired capacity.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Create a dynamic scaling policy for the Auto Scaling group. Configure the policy to scale based on the CPU utilization metric. Set the target value for the metric to 60%.

B.

Create a scheduled scaling policy for the Auto Scaling group. Set the appropriate desired capacity, minimum capacity, and maximum capacity. Set the recurrence to weekly. Set the start time to 30 minutes before the batch jobs run.

C.

Create a predictive scaling policy for the Auto Scaling group. Configure the policy to scale based on forecast. Set the scaling metric to CPU utilization. Set the target value for the metric to 60%. In the policy, set the instances to pre-launch 30 minutes before the jobs run.

D.

Create an Amazon EventBridge event to invoke an AWS Lambda function when the CPU utilization metric value for the Auto Scaling group reaches 60%. Configure the Lambda function to increase the Auto Scaling group's desired capacity and maximum capacity by 20%.

Discussion
Question 25

A company runs a three-tier web application in a VPC on AWS. The company deployed an Application Load Balancer (ALB) in a public subnet. The web tier and application tier Amazon EC2 instances are deployed in a private subnet. The company uses a self-managed MySQL database that runs on EC2 instances in an isolated private subnet for the database tier.

The company wants a mechanism that will give a DevOps team the ability to use SSH to access all the servers. The company also wants to have a centrally managed log of all connections made to the servers.

Which combination of solutions will meet these requirements with the MOST operational efficiency? (Select TWO.)

Options:

A.

Create a bastion host in the public subnet. Configure security groups in the public, private, and isolated subnets to allow SSH access.

B.

Create an interface VPC endpoint for AWS Systems Manager Session Manager. Attach the endpoint to the VPC.

C.

Create an IAM policy that grants access to AWS Systems Manager Session Manager. Attach the IAM policy to the EC2 instances.

D.

Create a gateway VPC endpoint for AWS Systems Manager Session Manager. Attach the endpoint to the VPC.

E.

Attach an AmazonSSMManagedInstanceCore AWS managed IAM policy to all the EC2 instance roles.

Discussion
Question 26

A company is moving a legacy data processing application to the AWS Cloud. The application needs to run on Amazon EC2 instances behind an Application Load Balancer (ALB).

The application must handle incoming traffic spikes and continue to work in the event of an application fault in one Availability Zone. The company requires that a Web Application Firewall (WAF) must be attached to the ALB.

Which solution will meet these requirements?

Options:

A.

Deploy the application to EC2 instances in an Auto Scaling group that is in a single Availability Zone. Use an ALB to distribute traffic. Use AWS WAF.

B.

Deploy the application to EC2 instances in an Auto Scaling group across multiple Availability Zones. Use an ALB to distribute traffic. Use AWS WAF.

C.

Deploy the application to EC2 instances in Auto Scaling groups across multiple AWS Regions. Use Route 53 latency routing. Attach AWS WAF to Route 53.

D.

Deploy the application to EC2 instances in an Auto Scaling group across multiple Availability Zones. Use a Network Load Balancer (NLB). Use AWS WAF.

Discussion
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Question 27

A company is migrating a distributed application to AWS. The application serves variable workloads. The legacy platform consists of a primary server that coordinates jobs across multiple compute nodes. The company wants to modernize the application with a solution that maximizes resiliency and scalability.

How should a solutions architect design the architecture to meet these requirements?

Options:

A.

Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs. Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure EC2 Auto Scaling to use scheduled scaling.

B.

Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs. Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure EC2 Auto Scaling based on the size of the queue.

C.

Implement the primary server and the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure AWS CloudTrail as a destination for the jobs. Configure EC2 Auto Scaling based on the load on the primary server.

D.

Implement the primary server and the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure Amazon EventBridge as a destination for the jobs. Configure EC2 Auto Scaling based on the load on the compute nodes.

Discussion
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