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| Section | Weight | Objectives |
|---|---|---|
| Design for New Solutions | 29% | - Design high-performing and scalable solutions - Design secure and resilient architectures - Design cost-optimized architectures - Design for reliability and fault tolerance |
| Continuous Improvement for Existing Solutions | 25% | - Apply security best practices and compliance updates - Refactor and modernize legacy applications - Optimize existing workloads for cost, performance, and security - Implement monitoring, logging, and observability |
| Accelerate Workload Migration and Modernization | 20% | - Modernize applications and data platforms - Develop migration strategies and plans - Migrate applications, data, and infrastructure - Integrate AWS services with existing systems |
| Design Solutions for Organizational Complexity | 26% | - Design for operational excellence and automation - Design for compliance and governance requirements - Design hybrid and multi-cloud networking - Design multi-account and multi-region architectures |
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NEW QUESTION # 439
A company is running an application in the AWS Cloud. The application runs on containers in an Amazon Elastic Container Service (Amazon ECS) cluster. The ECS tasks use the Fargate launch type. The application
' s data is relational and is stored in Amazon Aurora MySQL. To meet regulatory requirements, the application must be able to recover to a separate AWS Region in the event of an application failure. In case of a failure, no data can be lost. Which solution will meet these requirements with the LEAST amount of operational overhead?
Answer: C
Explanation:
Provision an Aurora Replica in a different Region will meet the requirement of the application being able to recover to a separate AWS Region in the event of an application failure, and no data can be lost, with the least amount of operational overhead.
NEW QUESTION # 440
A company's solutions architect is reviewing a web application that runs on AWS. The application references static assets in an Amazon S3 bucket in the us-east-1 Region. The company needs resiliency across multiple AWS Regions. The company already has created an S3 bucket in a second Region.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
NEW QUESTION # 441
A company has VPC flow logs enabled for its NAT gateway. The company is seeing Action = ACCEPT for inbound traffic that comes from public IP address 198.51.100.2 destined for a private Amazon EC2 instance. A solutions architect must determine whether the traffic represents unsolicited inbound connections from the internet. The first two octets of the VPC CIDR block are
203.0.
Which set of steps should the solutions architect take to meet these requirements?
Answer: A
Explanation:
It filters the logs based on the source address "like 198.51.100.2" (the public IP address) and the destination address "like 203.0" (which corresponds to the VPC CIDR block). By analyzing the traffic between these addresses, you can determine whether the traffic represents unsolicited inbound connections from the internet.
NEW QUESTION # 442
A company is designing its network configuration in the AWS Cloud. The company uses AWS Organizations to manage a multi-account setup. The company has three OUs. Each OU contains more than 100 AWS accounts. Each account has a single VPC. and all the VPCs in each OU are in the same AWS Region.
The CIDR ranges for all the AWS accounts do not overlap. The company needs to implement a solution in which VPCs in the same OU can communicate with each other but cannot communicate with VPCs in other OUs.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
NEW QUESTION # 443
A company is running an application in the AWS Cloud. The core business logic is running on a set of Amazon EC2 instances in an Auto Scaling group. An Application Load Balancer (ALB) distributes traffic to the EC2 instances. Amazon Route 53 record api.example.com is pointing to the ALB.
The company's development team makes major updates to the business logic. The company has a rule that when changes are deployed, only 10% of customers can receive the new logic during a testing window. A customer must use the same version of the business logic during the testing window.
How should the company deploy the updates to meet these requirements?
Answer: A
Explanation:
Explanation
The company should create a second target group that is referenced by the ALB. The company should deploy the new logic to EC2 instances in this new target group. The company should update the ALB listener rule to use weighted target groups. The company should configure ALB target group stickiness. This solution will meet the requirements because weighted target groups are a feature that enables you to distribute traffic across multiple target groups using a single listener rule. You can specify a weight for each target group, which determines the percentage of requests that are routed to that target group. For example, if you specify two target groups, each with a weight of 10, each target group receives half the requests1. By creating a second target group and deploying the new logic to EC2 instances in this new target group, the company can have two versions of its business logic running in parallel. By updating the ALB listener rule to use weighted target groups, the company can control how much traffic is sent to each version. By configuring ALB target group stickiness, the company can ensure that a customer uses the same version of the business logic during the testing window. Target group stickiness is a feature that enables you to bind a user's session to a specific target within a target group for the duration of the session2.
The other options are not correct because:
Creating a second ALB and deploying the new logic to a set of EC2 instances in a new Auto Scaling group would not be as cost-effective or simple as using weighted target groups. A second ALB would incur additional charges and require more configuration and management. Updating the Route 53 record to use weighted routing would not ensure that a customer uses the same version of the business logic during the testing window, as DNS caching could affect how requests are routed.
Creating a new launch configuration for the Auto Scaling group and replacing it on the Auto Scaling group would not allow for gradual traffic shifting between versions. A launch configuration is a template that an Auto Scaling group uses to launch EC2 instances. You can specify information such as the AMI ID, instance type, key pair, security groups, and block device mapping for your instances3.
However, replacing the launch configuration on an Auto Scaling group would affect all instances in that group, not just 10% of customers.
Creating a second Auto Scaling group and changing the ALB routing algorithm to least outstanding requests (LOR) would not allow for controlled traffic shifting between versions. A second Auto Scaling group would require more configuration and management. The LOR routing algorithm is a feature that enables you to route traffic based on how quickly targets respond to requests. The load balancer selects a target from the target group with the fewest outstanding requests . However, this algorithm does not take into account customer sessions or weights.
References:
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-listeners.html#listener-
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/sticky-sessions.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/LaunchConfiguration.html
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-target-groups.html#rou
NEW QUESTION # 444
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