Question # 1
| An ecommerce company is planning to migrate an on-premises Microsoft SQL Server
database to the AWS Cloud. The company needs to migrate the database to SQL Server
Always On availability groups. The cloud-based solution must be highly available. | | A. Deploy three Amazon EC2 instances with SQL Server across three Availability Zones.
Attach one Amazon Elastic Block Store (Amazon EBS) volume to the EC2 instances. | | B. Migrate the database to Amazon RDS for SQL Server. Configure a Multi-AZ deployment
and read replicas. | | C. Deploy three Amazon EC2 instances with SQL Server across three Availability Zones.
Use Amazon FSx for Windows File Server as the storage tier. | | D. Deploy three Amazon EC2 instances with SQL Server across three Availability Zones.
Use Amazon S3 as the storage tier. |
C. Deploy three Amazon EC2 instances with SQL Server across three Availability Zones.
Use Amazon FSx for Windows File Server as the storage tier.
Explanation:
A. EC2 with EBS: Does not support SQL Server Always On availability groups effectively.
B. RDS Multi-AZ: Provides high availability but does not support SQL Server
Always On availability groups.
C. EC2 with FSx for Windows: Best solution for SQL Server Always On as FSx
provides shared storage compatible with SQL Server clustering.
D. EC2 with S3: S3 is not suitable for SQL Server storage.
Question # 2
| A company has a Microsoft NET application that runs on an on-premises Windows Server Trie application stores data by using an Oracle Database Standard Edition server The company is planning a migration to AWS and wants to minimize development changes while moving the application The AWS application environment should be highly available
Which combination of actions should the company take to meet these requirements? (Select TWO ) | | A. Refactor the application as serverless with AWS Lambda functions running NET Cote | | B. Rehost the application in AWS Elastic Beanstalk with the NET platform in a Multi-AZ deployment | | C. Replatform the application to run on Amazon EC2 with the Amazon Linux Amazon Machine Image (AMI) | | D. Use AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Amazon DynamoDB in a Multi-AZ deployment | | E. Use AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Oracle on Amazon RDS in a Multi-AZ deployment |
B. Rehost the application in AWS Elastic Beanstalk with the NET platform in a Multi-AZ deployment
E. Use AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Oracle on Amazon RDS in a Multi-AZ deployment
Explanation:
To minimize development changes while moving the application to AWS and to ensure a high level of availability, the company can rehost the application in AWS Elastic Beanstalk with the .NET platform in a Multi-AZ deployment. This will allow the application to run in a highly available environment without requiring any changes to the application code.
The company can also use AWS Database Migration Service (AWS DMS) to migrate the Oracle database to Oracle on Amazon RDS in a Multi-AZ deployment. This will allow the company to maintain the existing database platform while still achieving a high level of availability
Question # 3
| A company operates a two-tier application for image processing. The application uses two Availability Zones, each with one public subnet and one private subnet. An Application Load Balancer (ALB) for the web tier uses the public subnets. Amazon EC2 instances for the application tier use the private subnets.
Users report that the application is running more slowly than expected. A security audit of the web server log files shows that the application is receiving millions of illegitimate
requests from a small number of IP addresses. A solutions architect needs to resolve the immediate performance problem while the company investigates a more permanent solution.
What should the solutions architect recommend to meet this requirement? | | A. Modify the inbound security group for the web tier. Add a deny rule for the IP addresses that are consuming resources.
| | B. Modify the network ACL for the web tier subnets. Add an inbound deny rule for the IP addresses that are consuming resources
| | C. Modify the inbound security group for the application tier. Add a deny rule for the IP addresses that are consuming resources.
| | D. Modify the network ACL for the application tier subnets. Add an inbound deny rule for the IP addresses that are consuming resources. |
B. Modify the network ACL for the web tier subnets. Add an inbound deny rule for the IP addresses that are consuming resources
Explanation: Deny the request from the first entry at the public subnet, don't allow it to cross and get to the private subnet.
In this scenario, the security audit reveals that the application is receiving millions of illegitimate requests from a small number of IP addresses. To address this issue, it is recommended to modify the network ACL (Access Control List) for the web tier subnets. By adding an inbound deny rule specifically targeting the IP addresses that are consuming resources, the network ACL can block the illegitimate traffic at the subnet level before it reaches the web servers. This will help alleviate the excessive load on the web tier and improve the application's performance.
Question # 4
A solutions architect is designing the cloud architecture for a new application being deployed on AWS. The process should run in parallel while adding and removing application nodes as needed based on the number of jobs to be processed. The processor application is stateless. The solutions architect must ensure that the application is loosely coupled and the job items are durably stored.
Which design should the solutions architect use? | | A. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on CPU usage | | B. Create an Amazon SQS queue to hold the jobs that need to be processed Create an Amazon Machine image (AMI) that consists of the processor application Create a launch configuration that uses the AM' Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on network usage | | C. Create an Amazon SQS queue to hold the jobs that needs to be processed Create an Amazon Machine image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue | | D. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of messages published to the SNS topic |
C. Create an Amazon SQS queue to hold the jobs that needs to be processed Create an Amazon Machine image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue
Explanation: "Create an Amazon SQS queue to hold the jobs that needs to be processed. Create an Amazon EC2 Auto Scaling group for the compute application. Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue"
In this case we need to find a durable and loosely coupled solution for storing jobs. Amazon SQS is ideal for this use case and can be configured to use dynamic scaling based on the number of jobs waiting in the queue.To configure this scaling you can use the backlog per instance metric with the target value being the acceptable backlog per instance to maintain. You can calculate these numbers as follows: Backlog per instance: To calculate your backlog per instance, start with the ApproximateNumberOfMessages queue attribute to determine the length of the SQS queue
Question # 5
A company provides a Voice over Internet Protocol (VoIP) service that uses UDP connections. The service consists of Amazon EC2 instances that run in an Auto Scaling group. The company has deployments across multiple AWS Regions.
The company needs to route users to the Region with the lowest latency. The company also needs automated failover between Regions.
Which solution will meet these requirements? | | A. Deploy a Network Load Balancer (NLB) and an associated target group. Associate the target group with the Auto Scaling group. Use the NLB as an AWS Global Accelerator endpoint in each Region. | | B. Deploy an Application Load Balancer (ALB) and an associated target group. Associate the target group with the Auto Scaling group. Use the ALB as an AWS Global Accelerator endpoint in each Region. | | C. Deploy a Network Load Balancer (NLB) and an associated target group. Associate the target group with the Auto Scaling group. Create an Amazon Route 53 latency record that points to aliases for each NLB. Create an Amazon CloudFront distribution that uses the latency record as an origin. | | D. Deploy an Application Load Balancer (ALB) and an associated target group. Associate the target group with the Auto Scaling group. Create an Amazon Route 53 weighted record that points to aliases for each ALB. Deploy an Amazon CloudFront distribution that uses the weighted record as an origin. |
D. Deploy an Application Load Balancer (ALB) and an associated target group. Associate the target group with the Auto Scaling group. Create an Amazon Route 53 weighted record that points to aliases for each ALB. Deploy an Amazon CloudFront distribution that uses the weighted record as an origin.
Question # 6
| A company is building a mobile app on AWS. The company wants to expand its reach to millions of users The company needs to build a platform so that authorized users can watch the company's content on their mobile devices
What should a solutions architect recommend to meet these requirements? | | A. Publish content to a public Amazon S3 bucket. Use AWS Key Management Service (AWS KMS) keys to stream content. | | B. Set up IPsec VPN between the mobile app and the AWS environment to stream content | | C. Use Amazon CloudFront Provide signed URLs to stream content. | | D. Set up AWS Client VPN between the mobile app and the AWS environment to stream content. |
C. Use Amazon CloudFront Provide signed URLs to stream content.
Explanation:
Amazon CloudFront is a content delivery network (CDN) that securely delivers data, videos, applications, and APIs to customers globally with low latency and high transfer speeds. CloudFront supports signed URLs that provide authorized access to your content. This feature allows the company to control who can access their content and for how long, providing a secure and scalable solution for millions of users.
Question # 7
| A company has an internal application that runs on Amazon EC2 instances in an Auto
Scaling group. The EC2 instances are compute optimized and use Amazon Elastic Block
Store (Amazon EBS) volumes.
The company wants to identify cost optimizations across the EC2 instances, the Auto
Scaling group, and the EBS volumes.
Which solution will meet these requirements with the MOST operational efficiency? | | A. Create a new AWS Cost and Usage Report. Search the report for cost
recommendations for the EC2 instances, the Auto Scaling group, and the EBS volumes. | | B. Create new Amazon CloudWatch billing alerts. Check the alert statuses for cost
recommendations for the EC2 instances, the Auto Scaling group, and the EBS volumes. | | C. Configure AWS Compute Optimizer for cost recommendations for the EC2 instances,
the Auto Scaling group, and the EBS volumes. | | D. Configure AWS Compute Optimizer for cost recommendations for the EC2 instances.
Create a new AWS Cost and Usage Report. Search the report for cost recommendations
for the Auto Scaling group and the EBS volumes. |
C. Configure AWS Compute Optimizer for cost recommendations for the EC2 instances,
the Auto Scaling group, and the EBS volumes.
Explanation:
Requirement Analysis: The company wants to identify cost optimizations for EC2
instances, the Auto Scaling group, and EBS volumes with high operational
efficiency.
AWS Compute Optimizer: This service provides actionable recommendations to
help optimize your AWS resources, including EC2 instances, Auto Scaling groups,
and EBS volumes.
Cost Recommendations: Compute Optimizer analyzes the utilization of resources
and provides specific recommendations for rightsizing or optimizing the
configurations.
Operational Efficiency: Using Compute Optimizer automates the process of
identifying cost-saving opportunities, reducing the need for manual analysis.
Implementation:
Conclusion: This solution provides a comprehensive, automated approach to
identifying cost optimizations with minimal operational effort.
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