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Topic 4: Exam Pool D
A company has deployed a Java Spring Boot application as a pod that runs on Amazon Elastic Kubernetes Service (Amazon EKS) in private subnets. The application needs to write data to an Amazon DynamoDB table. A solutions architect must ensure that the application can interact with the DynamoDB table without exposing traffic to the internet. Which combination of steps should the solutions architect take to accomplish this goal? (Choose two.)
A. Attach an IAM role that has sufficient privileges to the EKS pod.
B. Attach an IAM user that has sufficient privileges to the EKS pod.
C. Allow outbound connectivity to the DynamoDB table through the private subnets’ network ACLs.
D. Create a VPC endpoint for DynamoDB.
E. Embed the access keys in the Java Spring Boot code.
A company is running a business-critical web application on Amazon EC2 instances behind an Application Load Balancer. The EC2 instances are in an Auto Scaling group. The application uses an Amazon Aurora PostgreSQL database that is deployed in a single Availability Zone. The company wants the application to be highly available with minimum downtime and minimum loss of data.
Which solution will meet these requirements with the LEAST operational effort?
A. Place the EC2 instances in different AWS Regions. Use Amazon Route 53 health checks to redirect traffic. Use Aurora PostgreSQL Cross-Region Replication.
B. Configure the Auto Scaling group to use multiple Availability Zones. Configure the database as Multi-AZ. Configure an Amazon RDS Proxy instance for the database.
C. Configure the Auto Scaling group to use one Availability Zone. Generate hourly snapshots of the database. Recover the database from the snapshots in the event of a failure.
D. Configure the Auto Scaling group to use multiple AWS Regions. Write the data from the application to Amazon S3. Use S3 Event Notifications to launch an AWS Lambda function to write the data to the database.
Explanation: To achieve high availability with minimum downtime and minimum loss of data, the Auto Scaling group should be configured to use multiple Availability Zones to ensure that there is no single point of failure. The database should be configured as Multi- AZ to enable automatic failover in case of an outage in the primary Availability Zone.
Additionally, an Amazon RDS Proxy instance can be used to improve the scalability and availability of the database by reducing connection failures and improving failover times.
A company wants to use Amazon Elastic Container Service (Amazon ECS) clusters and Amazon RDS DB instances to build and run a payment processing application. The company will run the application in its on-premises data center for compliance purposes. A solutions architect wants to use AWS Outposts as part of the solution. The solutions architect is working with the company's operational team to build the application. Which activities are the responsibility of the company's operational team? (Select THREE.)
A. Providing resilient power and network connectivity to the Outposts racks
B. Managing the virtualization hypervisor, storage systems, and the AWS services that run on Outposts
C. Physical security and access controls of the data center environment
D. Availability of the Outposts infrastructure including the power supplies, servers, and network-ing equipment within the Outposts racks
E. Physical maintenance of Outposts components
F. Providing extra capacity for Amazon ECS clusters to mitigate server failures and maintenance events
Explanation: These answers are correct because they reflect the customer’s responsibilities for using AWS Outposts as part of the solution. According to the AWS shared responsibility model, the customer is responsible for providing resilient power and network connectivity to the Outposts racks, ensuring physical security and access controls of the data center environment, and providing extra capacity for Amazon ECS clusters to mitigate server failures and maintenance events. AWS is responsible for managing the virtualization hypervisor, storage systems, and the AWS services that run on Outposts, as well as the availability of the Outposts infrastructure including the power supplies, servers, and networking equipment within the Outposts racks, and the physical maintenance of Outposts components.
A hospital recently deployed a RESTful API with Amazon API Gateway and AWS Lambda The hospital uses API Gateway and Lambda to upload reports that are in PDF format and JPEG format The hospital needs to modify the Lambda code to identify protected health information (PHI) in the reports
Which solution will meet these requirements with the LEAST operational overhead?
A. Use existing Python libraries to extract the text from the reports and to identify the PHI from the extracted text.
B. Use Amazon Textract to extract the text from the reports Use Amazon SageMaker to identify the PHI from the extracted text.
C. Use Amazon Textract to extract the text from the reports Use Amazon Comprehend Medical to identify the PHI from the extracted text
D. Use Amazon Rekognition to extract the text from the reports Use Amazon Comprehend Medical to identify the PHI from the extracted text
Explanation: To meet the requirements of the company to have access to both AWS and on-premises file storage with minimum latency, a hybrid cloud architecture can be used.
One solution is to deploy and configure Amazon FSx for Windows File Server on AWS, which provides fully managed Windows file servers. The on-premises file data can be moved to the FSx File Gateway, which can act as a bridge between on-premises and AWS file storage. The cloud workloads can be configured to use FSx for Windows File Server on AWS, while the on-premises workloads can be configured to use the FSx File Gateway.
This solution minimizes operational overhead and requires no significant changes to the existing file access patterns. The connectivity between on-premises and AWS can be established using an AWS Site-to-Site VPN connection.
A company runs a three-tier web application in the AWS Cloud that operates across three Availability Zones. The application architecture has an Application Load Balancer, an Amazon EC2 web server that hosts user session states, and a MySQL database that runs Amazon Web Services SAA-C03 : Practice Test on an EC2 instance. The company expects sudden increases in application traffic. The company wants to be able to scale to meet future application capacity demands and to ensure high availability across all three Availability Zones. Which solution will meet these requirements?
A. Migrate the MySQL database to Amazon RDS for MySQL with a Multi-AZ DB cluster deployment. Use Amazon ElastiCache for Redis with high availability to store session data and to cache reads.
B. Migrate the web server to an Auto Scaling group that is in three Availability Zones.
C. Migrate the MySQL database to Amazon RDS for MySQL with a Multi-AZ DB cluster deployment. Use Amazon ElastiCache for Memcached with high availability to store session data and to cache reads. Migrate the web server to an Auto Scaling group that is in three Availability Zones.
D. Migrate the MySQL database to Amazon DynamoDUse DynamoDB Accelerator (DAX) to cache reads. Store the session data in DynamoDMigrate the web server to an Auto Scaling group that is in three Availability Zones.
E. Migrate the MySQL database to Amazon RDS for MySQL in a single Availability Zone. Use Amazon ElastiCache for Redis with high availability to store session data and to cache reads. Migrate the web server to an Auto Scaling group that is in three Availability Zones.
Explanation: This answer is correct because it meets the requirements of scaling to meet future application capacity demands and ensuring high availability across all three Availability Zones. By migrating the MySQL database to Amazon RDS for MySQL with a Multi-AZ DB cluster deployment, the company can benefit from automatic failover, backup, and patching of the database across multiple Availability Zones. By using Amazon ElastiCache for Redis with high availability, the company can store session data and cache reads in a fast, in-memory data store that can also fail over across Availability Zones. By migrating the web server to an Auto Scaling group that is in three Availability Zones, the company can automatically scale the web server capacity based on the demand and traffic patterns.
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