221. A company has a legacy application that runs on multiple NET Framework components. The components share the same Microsoft SQL Server database and communicate with each other asynchronously by using Microsoft Message Queueing (MSMQ).
The company is starting a migration to containerized .NET Core components and wants to refactor the application to run on AWS. The .NET Core components require complex orchestration. The company must have full control over networking and host configuration. The application’s database model is strongly relational.
Which solution will meet these requirements?
A. Host the INET Core components on AWS App Runner. Host the database on Amazon RDS for SQL Server. Use Amazon EventBiridge for asynchronous messaging.
B. Host the .NET Core components on Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Host the database on Amazon DynamoDUse Amazon Simple Notification Service (Amazon SNS) for asynchronous messaging.
C. Host the .NET Core components on AWS Elastic Beanstalk. Host the database on Amazon Aurora PostgreSQL Serverless v2. Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) for asynchronous messaging.
D. Host the NET Core components on Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type. Host the database on Amazon Aurora MySQL Serverless v2. Use Amazon Simple Queue Service (Amazon SQS) for asynchronous messaging.
Answer
D
222. A team of data scientists is using Amazon SageMaker instances and SageMaker APIs to train machine learning (ML) models. The SageMaker instances are deployed in a VPC that does not have access to or from the internet. Datasets for ML model training are stored in an Amazon S3 bucket. Interface VPC endpoints provide access to Amazon S3 and the SageMaker APIs.
Occasionally, the data scientists require access to the Python Package Index (PyPI) repository to update Python packages that they use as part of their workflow. A solutions architect must provide access to the PyPI repository while ensuring that the SageMaker instances remain isolated from the internet.
Which solution will meet these requirements?
A. Create an AWS CodeCommit repository for each package that the data scientists need to access. Configure code synchronization between the PyPI repository and the CodeCommit repository. Create a VPC endpoint for CodeCommit.
B. Create a NAT gateway in the VPC. Configure VPC routes to allow access to the internet with a network ACL that allows access to only the PyPI repository endpoint.
C. Create a NAT instance in the VPConfigure VPC routes to allow access to the internet. Configure SageMaker notebook instance firewall rules that allow access to only the PyPI repository endpoint.
D. Create an AWS CodeArtifact domain and repository. Add an external connection for public:pypi to the CodeArtifact repository. Configure the Python client to use the CodeArtifact repository. Create a VPC endpoint for CodeArtifact.
Answer
D
223. A solutions architect works for a government agency that has strict disaster recovery requirements. All Amazon Elastic Block Store (Amazon EBS) snapshots are required to be saved in at least two additional AWS Regions. The agency also is required to maintain the lowest possible operational overhead.
Which solution meets these requirements?
A. Configure a policy in Amazon Data Lifecycle Manager (Amazon DLM) to run once daily to copy the EBS snapshots to the additional Regions.
B. Use Amazon EventBridge to schedule an AWS Lambda function to copy the EBS snapshots to the additional Regions.
C. Setup AWS Backup to create the EBS snapshots. Configure Amazon S3 Cross-Region Replication to copy the EBS snapshots to the additional Regions.
D. Schedule Amazon EC2 Image Builder to run once daily to create an AMI and copy the AMI to the additional Regions.
Answer
A
224. A company runs an ecommerce application in a single AWS Region. The application uses a five-node Amazon Aurora MySQL DB cluster to store information about customers and their recent orders. The DB cluster experiences a large number of write transactions throughout the day.
The company needs to replicate the data in the Aurora database to another Region to meet disaster recovery requirements. The company has an RPO of 1 hour.
Which solution will meet these requirements with the LOWEST cost?
A. Modify the Aurora database to be an Aurora global database. Create a second Aurora database in another Region.
B. Enable the Backtrack feature for the Aurora database. Create an AWS Lambda function that runs daily to copy the snapshots of the database to a backup Region.
C. Use AWS Database Migration Service (AWS DMS). Create a DMS change data capture (CDC) task that replicates the ongoing changes from the Aurora database to an Amazon S3 bucket in another Region.
D. Turn off automated Aurora backups. Configure Aurora backups with a backup frequency of 1 hour. Specify another Region as the destination Region. Select the Aurora database as the resource assignment.
Answer
C
225. A company’s solutions architect is evaluating an AWS workload that was deployed several years ago. The application tier is stateless and runs on a single large Amazon EC2 instance that was launched from an AMI. The application stores data in a MySQL database that runs on a single EC2 instance.
The CPU utilization on the application server EC2 instance often reaches 100% and causes the application to stop responding. The company manually installs patches on the instances. Patching has caused downtime in the past. The company needs to make the application highly available.
Which solution will meet these requirements with the LEAST development me?
A. Move the application tier to AWS Lambda functions in the existing VPC. Create an Application Load Balancer to distribute traffic across the Lambda functions. Use Amazon GuardDuty to scan the Lambda functions. Migrate the database to Amazon DocumentDB (with MongoDB compatibility.
B. Change the EC2 instance type to a smaller Graviton powered instance type. Use the existing AMI to create a launch template for an Auto Scaling group. Create an Application Load Balancer to distribute traffic across the instances in the Auto Scaling group. Set the Auto Scaling group to scale based on CPU utilization. Migrate the database to Amazon DynamoDB.
C. Move the application tier to containers by using Docker. Run the containers on Amazon Elastic Container Service (Amazon ECS) with EC2 instances. Create an Application Load Balancer to distribute traffic across the ECS cluster. Configure the ECS cluster to scale based on CPU utilization. Migrate the database to Amazon Neptune.
D. Create a now AMI that is configured with AWS Systems Manager Agent (SSM Agent). Use the new AMI to create a launch template for an Auto Scaling group. Use smaller instances in the Auto Scaling group. Create an Application Load Balancer to distribute traffic across the instances in the Auto Scaling group. Set the Auto Scaling group to scale based on CPU utilization. Migrate the database to Amazon Aurora MySQL.
Answer
D