A company's solutions architect is designing an AWS multi-account solution that uses AWS Organizations.
The solutions architect has organized the company's accounts into organizational units (OUs). The solutions architect needs a solution that will identify any changes to the OU hierarchy. The solution also needs to notify the company's operations team of any changes.
Which solution will meet these requirements with the LEAST operational overhead?
A. Provision the AWS accounts by using AWS Control Tower. Use account drift notifications to identify the changes to the OU hierarchy. B. Provision the AWS accounts by using AWS Control Tower. Use AWS Config aggregated rules to identify the changes to the OU hierarchy. C. Use AWS Service Catalog to create accounts in Organizations. Use an AWS CloudTrail organization trail to identify the changes to the OU hierarchy. D. Use AWS CloudFormation templates to create accounts in Organizations. Use the drift detection operation on a stack to identify the changes to the OU hierarchy.
A. Provision the AWS accounts by using AWS Control Tower. Use account drift notifications to identify the changes to the OU hierarchy.
Question 722:
A company has developed an API by using an Amazon API Gateway REST API and AWS Lambda functions. The API serves static content and dynamic content to users worldwide. The company wants to decrease the latency of transferring the content for API requests.
Which solution will meet these requirements?
A. Deploy the REST API as an edge-optimized API endpoint. Enable caching. Enable content encoding in the API definition to compress the application data in transit. B. Deploy the REST API as a Regional API endpoint. Enable caching. Enable content encoding in the API definition to compress the application data in transit. C. Deploy the REST API as an edge-optimized API endpoint. Enable caching. Configure reserved concurrency for the Lambda functions. D. Deploy the REST API as a Regional API endpoint. Enable caching. Configure reserved concurrency for the Lambda functions.
A. Deploy the REST API as an edge-optimized API endpoint. Enable caching. Enable content encoding in the API definition to compress the application data in transit.
Explanation
Edge-Optimized API: Designed for global users by routing requests through CloudFront's edge locations, reducing latency.
Content Encoding: Enabling content encoding compresses data, further optimizing performance by decreasing payload size.
Caching: Adding API Gateway caching reduces the number of calls to Lambda and database backends, improving latency.
Reserved Concurrency: Although useful, this does not directly affect latency for transferring static and dynamic content.
AWS API Gateway Edge-Optimized APIs Documentation
Question 723:
A company wants to use the AWS Cloud to make an existing application highly available and resilient. The current version of the application resides in the company's data center. The application recently experienced data loss after a database server crashed because of an unexpected power outage.
The company needs a solution that avoids any single points of failure. The solution must give the application the ability to scale to meet user demand.
Which solution will meet these requirements?
A. Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon RDS DB instance in a Multi-AZ configuration. B. Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group in a single Availability Zone. Deploy the database on an EC2 instance. Enable EC2 Auto Recovery. C. Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon RDS DB instance with a read replica in a single Availability Zone. Promote the read replica to replace the primary DB instance if the primary DB instance fails. D. Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones. Deploy the primary and secondary database servers on EC2 instances across multiple Availability Zones. Use Amazon Elastic Block Store (Amazon EBS) Multi-Attach to create shared storage between the instances.
A. Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon RDS DB instance in a Multi-AZ configuration.
Question 724:
A company recently migrated to AWS and wants to implement a solution to protect the traffic that flows in and out of the production VPC. The company had an inspection server in its on-premises data center. The inspection server performed specific operations such as traffic flow inspection and traffic filtering. The company wants to have the same functionalities in the AWS Cloud.
Which solution will meet these requirements?
A. Use Amazon GuardDuty for traffic inspection and traffic filtering in the production VPC. B. Use Traffic Mirroring to mirror traffic from the production VPC for traffic inspection and filtering. C. Use AWS Network Firewall to create the required rules for traffic inspection and traffic filtering for the production VPC. D. Use AWS Firewall Manager to create the required rules for traffic inspection and traffic filtering for the production VPC.
C. Use AWS Network Firewall to create the required rules for traffic inspection and traffic filtering for the production VPC.
Question 725:
A solutions architect needs to implement a solution to reduce a company's storage costs. All the company's data is in the Amazon S3 Standard storage class. The company must keep all data for at least 25 years. Data from the most recent 2 years must be highly available and immediately retrievable.
Which solution will meet these requirements?
A. Set up an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive immediately. B. Set up an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 2 years. C. Use S3 Intelligent-Tiering. Activate the archiving option to ensure that data is archived in S3 Glacier Deep Archive. D. Set up an S3 Lifecycle policy to transition objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) immediately and to S3 Glacier Deep Archive after 2 years.
B. Set up an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 2 years.
Question 726:
An application that is hosted on Amazon EC2 instances needs to access an Amazon S3 bucket. Traffic must not traverse the internet.
How should a solutions architect configure access to meet these requirements?
A. Create a private hosted zone by using Amazon Route 53. B. Set up a gateway VPC endpoint for Amazon S3 in the VPC. C. Configure the EC2 instances to use a NAT gateway to access the S3 bucket. D. Establish an AWS Site-to-Site VPN connection between the VPC and the S3 bucket.
B. Set up a gateway VPC endpoint for Amazon S3 in the VPC.
Question 727:
A company's image-hosting website gives users around the world the ability to up load, view, and download images from their mobile devices. The company currently hosts the static website in an Amazon
S3 bucket. Because of the website's growing popularity, the website's performance has decreased. Users have reported latency issues when they upload and download images.
The company must improve the performance of the website.
Which solution will meet these requirements with the LEAST implementation effort?
A. Configure an Amazon CloudFront distribution for the S3 bucket to improve the download performance. Enable S3 Transfer Acceleration to improve the upload performance. B. Configure Amazon EC2 instances of the right sizes in multiple AWS Regions. Migrate the application to the EC2 instances. Use an Application Load Balancer to distribute the website traffic equally among the EC2 instances. Configure AWS Global Accelerator to address global demand with low latency. C. Configure an Amazon CloudFront distribution that uses the S3 bucket as an origin to improve the download performance. Configure the application to use CloudFront to upload images to improve the upload performance. Create S3 buckets in multiple AWS Regions. Configure replication rules for the buckets to replicate users' data based on the users' location. Redirect downloads to the S3 bucket that is closest to each user's location. D. Configure AWS Global Accelerator for the S3 bucket to improve network performance. Create an endpoint for the application to use Global Accelerator instead of the S3 bucket.
A. Configure an Amazon CloudFront distribution for the S3 bucket to improve the download performance. Enable S3 Transfer Acceleration to improve the upload performance.
Question 728:
A company is building a containerized application on premises and decides to move the application to AWS. The application will have thousands of users soon after it is deployed. The company is unsure how to manage the deployment of containers at scale. The company needs to deploy the containerized application in a highly available architecture that minimizes operational overhead.
Which solution will meet these requirements?
A. Store container images in an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the AWS Fargate launch type to run the containers. Use target tracking to scale automatically based on demand. B. Store container images in an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the Amazon EC2 launch type to run the containers. Use target tracking to scale automatically based on demand. C. Store container images in a repository that runs on an Amazon EC2 instance. Run the containers on EC2 instances that are spread across multiple Availability Zones. Monitor the average CPU utilization in Amazon CloudWatch. Launch new EC2 instances as needed. D. Create an Amazon EC2 Amazon Machine Image (AMI) that contains the container image. Launch EC2 instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon CloudWatch alarm to scale out EC2 instances when the average CPU utilization threshold is breached.
A. Store container images in an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the AWS Fargate launch type to run the containers. Use target tracking to scale automatically based on demand.
Question 729:
A company has an AWS Direct Connect connection from its corporate data center to its VPC in the us-east-1 Region. The company recently acquired a corporation that has several VPCs and a Direct Connect connection between its on-premises data center and the eu-west-2 Region. The CIDR blocks for the VPCs of the company and the corporation do not overlap. The company requires connectivity between two Regions and the data centers. The company needs a solution that is scalable while reducing operational overhead.
What should a solutions architect do to meet these requirements?
A. Set up inter-Region VPC peering between the VPC in us-east-1 and the VPCs in eu-west-2. B. Create private virtual interfaces from the Direct Connect connection in us-east-1 to the VPCs in eu-west-2. C. Establish VPN appliances in a fully meshed VPN network hosted by Amazon EC2. Use AWS VPN CloudHub to send and receive data between the data centers and each VPC. D. Connect the existing Direct Connect connection to a Direct Connect gateway. Route traffic from the virtual private gateways of the VPCs in each Region to the Direct Connect gateway.
D. Connect the existing Direct Connect connection to a Direct Connect gateway. Route traffic from the virtual private gateways of the VPCs in each Region to the Direct Connect gateway.
Question 730:
A company is migrating its data processing application to the AWS Cloud. The application processes several short-lived batch jobs that cannot be disrupted. Data is generated after each batch job is completed. The data is accessed for 30 days and retained for 2 years.
The company wants to keep the cost of running the application in the AWS Cloud as low as possible.
Which solution will meet these requirements?
A. Migrate the data processing application to Amazon EC2 Spot Instances. Store the data in Amazon S3 Standard. Move the data to Amazon S3 Glacier Instant. Retrieval after 30 days. Set an expiration to delete the data after 2 years. B. Migrate the data processing application to Amazon EC2 On-Demand Instances. Store the data in Amazon S3 Glacier Instant Retrieval. Move the data to S3 Glacier Deep Archive after 30 days. Set an expiration to delete the data after 2 years. C. Deploy Amazon EC2 Spot Instances to run the batch jobs. Store the data in Amazon S3 Standard. Move the data to Amazon S3 Glacier Flexible Retrieval after 30 days. Set an expiration to delete the data after 2 years. D. Deploy Amazon EC2 On-Demand Instances to run the batch jobs. Store the data in Amazon S3 Standard. Move the data to Amazon S3 Glacier Deep Archive after 30 days. Set an expiration to delete the data after 2 years.
D. Deploy Amazon EC2 On-Demand Instances to run the batch jobs. Store the data in Amazon S3 Standard. Move the data to Amazon S3 Glacier Deep Archive after 30 days. Set an expiration to delete the data after 2 years.
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