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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Accelerate workload migration and modernization | 20% | |
| Topic 2: Continuous improvement for existing solutions | 25% | |
| Topic 3: Design for new solutions | 29% | |
| Topic 4: Design solutions for organizational complexity | 26% |
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NEW QUESTION # 372
A company has applications in an AWS account that is named Source. The account is in an organization in AWS Organizations. One of the applications uses AWS Lambda functions and stores inventory data in an Amazon Aurora database. The application deploys the Lambda functions by using a deployment package. The company has configured automated backups for Aurora.
The company wants to migrate the Lambda functions and the Aurora database to a new AWS account that is named Target. The application processes critical data, so the company must minimize downtime.
Which solution will meet these requirements?
Answer: A
NEW QUESTION # 373
A company uses an organization in AWS Organizations to manage the company's AWS accounts. The company uses AWS CloudFormation to deploy all infrastructure. A finance team wants to buikJ a chargeback model The finance team asked each business unit to tag resources by using a predefined list of project values.
When the finance team used the AWS Cost and Usage Report in AWS Cost Explorer and filtered based on project, the team noticed noncompliant project values. The company wants to enforce the use of project tags for new resources.
Which solution will meet these requirements with the LEAST effort?
Answer: C
Explanation:
The best solution is to create a tag policy that contains the allowed project tag values in the organization's management account and create an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added. A tag policy is a type of policy that can help standardize tags across resources in the organization's accounts. A tag policy can specify the allowed tag keys, values, and case treatment for compliance. A service control policy (SCP) is a type of policy that can restrict the actions that users and roles can perform in the organization's accounts. An SCP can deny access to specific API operations unless certain conditions are met, such as having a specific tag. By creating a tag policy in the management account and attaching it to each OU, the organization can enforce consistent tagging across all accounts. By creating an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added, the organization can prevent users from creating new resources without proper tagging. This solution will meet the requirements with the least effort, as it does not involve creating additional resources or modifying existing ones. Reference: Tag policies - AWS Organizations, Service control policies - AWS Organizations, AWS CloudFormation User Guide
NEW QUESTION # 374
A company is hosting an image-processing service on AWS in a VPC. The VPC extends across two Availability Zones. Each Availability Zone contains one public subnet and one private subnet.
The service runs on Amazon EC2 instances in the private subnets. An Application Load Balancer in the public subnets is in front of the service. The service needs to communicate with the internet and does so through two NAT gateways. The service uses Amazon S3 for image storage. The EC2 instances retrieve approximately 1 GB of data from an S3 bucket each day.
The company has promoted the service as highly secure. A solutions architect must reduce cloud expenditures as much as possible without compromising the service's security posture or increasing the time spent on ongoing operations.
Which solution will meet these requirements?
Answer: B
Explanation:
Create Amazon S3 gateway endpoint in the VPC and add a VPC endpoint policy. This VPC endpoint policy will have a statement that allows S3 access only via access points owned by the organization.
NEW QUESTION # 375
A manufacturing company is building an inspection solution for its factory. The company has IP cameras at the end of each assembly line. The company has used Amazon SageMaker to train a machine learning (ML) model to identify common defects from still images.
The company wants to provide local feedback to factory workers when a defect is detected. The company must be able to provide this feedback even if the factory's internet connectivity is down. The company has a local Linux server that hosts an API that provides local feedback to the workers.
How should the company deploy the ML model to meet these requirements?
Answer: D
Explanation:
The company should use AWS IoT Greengrass to deploy the ML model to the local server and provide local feedback to the factory workers. AWS IoT Greengrass is a service that extends AWS cloud capabilities to local devices, allowing them to collect and analyze data closer to the source of information, react autonomously to local events, and communicate securely with each other on local networks1. AWS IoT Greengrass also supports ML inference at the edge, enabling devices to run ML models locally without requiring internet connectivity2.
The other options are not correct because:
Setting up an Amazon Kinesis video stream from each IP camera to AWS would not work if the factory's internet connectivity is down. It would also incur unnecessary costs and latency to stream video data to the cloud and back.
Ordering an AWS Snowball device would not be a scalable or cost-effective solution for deploying the ML model. AWS Snowball is a service that provides physical devices for data transfer and edge computing, but it is not designed for continuous operation or frequent updates3.
Deploying Amazon Monitron devices on each IP camera would not work because Amazon Monitron is a service that monitors the condition and performance of industrial equipment using sensors and machine learning, not cameras4.
Reference:
https://aws.amazon.com/greengrass/
https://docs.aws.amazon.com/greengrass/v2/developerguide/use-machine-learning-inference.html
https://aws.amazon.com/snowball/
https://aws.amazon.com/monitron/
NEW QUESTION # 376
A company needs to improve the security of its web application on AWS. The application runs on a fleet of Amazon EC2 instances behind a public Application Load Balancer (ALB). The instances are in an Auto Scaling group. The ALB is registered as a custom origin in an Amazon CloudFront distribution.
The company wants customers to access the website by using a fully qualified domain name (FQDN) that is associated with the CloudFront distribution. A security audit shows that the ALB can be accessed directly and that some requests bypass the CloudFront distribution.
The company needs a solution that will prevent direct access to the ALB. The solution also must ensure that all requests pass through the CloudFront distribution.
Which solution will meet these requirements?
Answer: B
Explanation:
Option C is correct. For an internet-facing Application Load Balancer used as a CloudFront custom origin, AWS recommends configuring CloudFront to add a custom HTTP header to origin requests and configuring the ALB listener rules to forward only requests that contain that specific header. This prevents users from bypassing CloudFront and accessing the ALB directly, while still allowing legitimate CloudFront-originated traffic. AWS also warns that the header name and value must remain secret and should be protected with HTTPS. Option A is incomplete because security groups cannot restrict traffic to one specific CloudFront distribution. Option B does not reliably stop direct ALB access. Option D is wrong because CloudFront origin access control is primarily for supported AWS origins such as S3 origins, not this ALB custom-origin control pattern.
NEW QUESTION # 377
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