Cloud Practice

#131 (Accuracy: 100% / 3 votes)

A company has an application that uses AWS Key Management Service (AWS KMS) to encrypt and decrypt data. The application stores data in an Amazon S3 bucket in an AWS Region. Company security policies require the data to be encrypted before the data is placed into the S3 bucket. The application must decrypt the data when the application reads files from the S3 bucket.

The company replicates the S3 bucket to other Regions. A solutions architect must design a solution so that the application can encrypt and decrypt data across Regions. The application must use the same key to decrypt the data in each Region.

Which solution will meet these requirements?

A. Create a KMS multi-Region primary key. Use the KMS multi-Region primary key to create a KMS multi-Region replica key in each additional Region where the application is running. Update the application code to use the specific replica key in each Region.
B. Create a new customer managed KMS key in each additional Region where the application is running. Update the application code to use the specific KMS key in each Region.
C. Use AWS Private Certificate Authority to create a new certificate authority (CA) in the primary Region. Issue a new private certificate from the CA for the application’s website URL. Share the CA with the additional Regions by using AWS Resource Access Manager (AWS RAM). Update the application code to use the shared CA certificates in each Region.
D. Use AWS Systems Manager Parameter Store to create a parameter in each additional Region where the application is running. Export the key material from the KMS key in the primary Region. Store the key material in the parameter in each Region. Update the application code to use the key data from the parameter in each Region.

#132 (Accuracy: 95% / 7 votes)

A company needs to optimize the cost of its application on AWS. The application uses AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) containers that run on AWS Fargate. The application is write-heavy and stores data in an Amazon Aurora MySQL database.

The load on the application is not consistent. The application experiences long periods of no usage, followed by sudden and significant increases and decreases in traffic. The database runs on a memory optimized DB instance that cannot handle the load.

A solutions architect must design a solution that can scale to handle the changes in traffic.

Which solution will meet these requirements MOST cost-effectively?

A. Add additional read replicas to the database. Purchase Instance Savings Plans and RDS Reserved Instances.
B. Migrate the database to an Aurora DB cluster that has multiple writer instances. Purchase Instance Savings Plans.
C. Migrate the database to an Aurora global database. Purchase Compute Savings Plans and RDS Reserved instances.
D. Migrate the database to Aurora Serverless v1. Purchase Compute Savings Plans.

#133 (Accuracy: 90% / 6 votes)

A company migrated an application to the AWS Cloud. The application runs on two Amazon EC2 instances behind an Application Load Balancer (ALB).
Application data is stored in a MySQL database that runs on an additional EC2 instance. The application's use of the database is read-heavy.

The application loads static content from Amazon Elastic Block Store (Amazon EBS) volumes that are attached to each EC2 instance. The static content is updated frequently and must be copied to each EBS volume.

The load on the application changes throughout the day. During peak hours, the application cannot handle all the incoming requests. Trace data shows that the database cannot handle the read load during peak hours.

Which solution will improve the reliability of the application?

A. Migrate the application to a set of AWS Lambda functions. Set the Lambda functions as targets for the ALB. Create a new single EBS volume for the static content. Configure the Lambda functions to read from the new EBS volume. Migrate the database to an Amazon RDS for MySQL Multi-AZ DB cluster.
B. Migrate the application to a set of AWS Step Functions state machines. Set the state machines as targets for the ALCreate an Amazon Elastic File System (Amazon EFS) file system for the static content. Configure the state machines to read from the EFS file system. Migrate the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance.
C. Containerize the application. Migrate the application to an Amazon Elastic Container Service (Amazon ECS) cluster. Use the AWS Fargate launch type for the tasks that host the application. Create a new single EBS volume for the static content. Mount the new EBS volume on the ECS cluster. Configure AWS Application Auto Scaling on the ECS cluster. Set the ECS service as a target for the ALB. Migrate the database to an Amazon RDS for MySQL Multi-AZ DB cluster.
D. Containerize the application. Migrate the application to an Amazon Elastic Container Service (Amazon ECS) cluster. Use the AWS Fargate launch type for the tasks that host the application. Create an Amazon Elastic File System (Amazon EFS) file system for the static content. Mount the EFS file system to each container. Configure AWS Application Auto Scaling on the ECS cluster. Set the ECS service as a target for the ALB. Migrate the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance.

#134 (Accuracy: 100% / 6 votes)

A North American company with headquarters on the East Coast is deploying a new web application running on Amazon EC2 in the us-east-1 Region. The application should dynamically scale to meet user demand and maintain resiliency. Additionally, the application must have disaster recovery capabilities in an active-passive configuration with the us-west-1 Region.

Which steps should a solutions architect take after creating a VPC in the us-east-1 Region?

A. Create a VPC in the us-west-1 Region. Use inter-Region VPC peering to connect both VPCs. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs in each Region as part of an Auto Scaling group spanning both VPCs and served by the ALB.
B. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs as part of an Auto Scaling group served by the ALDeploy the same solution to the us-west-1 Region. Create an Amazon Route 53 record set with a failover routing policy and health checks enabled to provide high availability across both Regions.
C. Create a VPC in the us-west-1 Region. Use inter-Region VPC peering to connect both VPCs. Deploy an Application Load Balancer (ALB) that spans both VPCs. Deploy EC2 instances across multiple Availability Zones as part of an Auto Scaling group in each VPC served by the ALB. Create an Amazon Route 53 record that points to the ALB.
D. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs as part of an Auto Scaling group served by the ALB. Deploy the same solution to the us-west-1 Region. Create separate Amazon Route 53 records in each Region that point to the ALB in the Region. Use Route 53 health checks to provide high availability across both Regions.

#135 (Accuracy: 94% / 15 votes)

A company runs a microservice as an AWS Lambda function. The microservice writes data to an on-premises SQL database that supports a limited number of concurrent connections. When the number of Lambda function invocations is too high, the database crashes and causes application downtime. The company has an AWS Direct Connect connection between the company's VPC and the on-premises data center. The company wants to protect the database from crashes.

Which solution will meet these requirements?

A. Write the data to an Amazon Simple Queue Service (Amazon SQS) queue. Configure the Lambda function to read from the queue and write to the existing database. Set a reserved concurrency limit on the Lambda function that is less than the number of connections that the database supports.
B. Create a new Amazon Aurora Serverless DB cluster. Use AWS DataSync to migrate the data from the existing database to Aurora Serverless. Reconfigure the Lambda function to write to Aurora.
C. Create an Amazon RDS Proxy DB instance. Attach the RDS Proxy DB instance to the Amazon RDS DB instance. Reconfigure the Lambda function to write to the RDS Proxy DB instance.
D. Write the data to an Amazon Simple Notification Service (Amazon SNS) topic. Invoke the Lambda function to write to the existing database when the topic receives new messages. Configure provisioned concurrency for the Lambda function to be equal to the number of connections that the database supports.

#136 (Accuracy: 94% / 11 votes)

A company is designing a new website that hosts static content. The website will give users the ability to upload and download large files. According to company requirements, all data must be encrypted in transit and at rest. A solutions architect is building the solution by using Amazon S3 and Amazon CloudFront.

Which combination of steps will meet the encryption requirements? (Choose three.)

A. Turn on S3 server-side encryption for the S3 bucket that the web application uses.
B. Add a policy attribute of "aws:SecureTransport": "true" for read and write operations in the S3 ACLs.
C. Create a bucket policy that denies any unencrypted operations in the S3 bucket that the web application uses.
D. Configure encryption at rest on CloudFront by using server-side encryption with AWS KMS keys (SSE-KMS).
E. Configure redirection of HTTP requests to HTTPS requests in CloudFront.
F. Use the RequireSSL option in the creation of presigned URLs for the S3 bucket that the web application uses.

#137 (Accuracy: 100% / 7 votes)

A solutions architect needs to improve an application that is hosted in the AWS Cloud. The application uses an Amazon Aurora MySQL DB instance that is experiencing overloaded connections. Most of the application’s operations insert records into the database. The application currently stores credentials in a text-based configuration file.

The solutions architect needs to implement a solution so that the application can handle the current connection load. The solution must keep the credentials secure and must provide the ability to rotate the credentials automatically on a regular basis.

Which solution will meet these requirements?

A. Deploy an Amazon RDS Proxy layer. In front of the DB instance. Store the connection credentials as a secret in AWS Secrets Manager.
B. Deploy an Amazon RDS Proxy layer in front of the DB instance. Store the connection credentials in AWS Systems Manager Parameter Store
C. Create an Aurora Replica. Store the connection credentials as a secret in AWS Secrets Manager
D. Create an Aurora Replica. Store the connection credentials in AWS Systems Manager Parameter Store.

#138 (Accuracy: 92% / 7 votes)

A company has a complex web application that leverages Amazon CloudFront for global scalability and performance. Over time, users report that the web application is slowing down.

The company's operations team reports that the CloudFront cache hit ratio has been dropping steadily. The cache metrics report indicates that query strings on some URLs are inconsistently ordered and are specified sometimes in mixed-case letters and sometimes in lowercase letters.

Which set of actions should the solutions architect take to increase the cache hit ratio as quickly as possible?

A. Deploy a Lambda@Edge function to sort parameters by name and force them to be lowercase. Select the CloudFront viewer request trigger to invoke the function.
B. Update the CloudFront distribution to disable caching based on query string parameters.
C. Deploy a reverse proxy after the load balancer to post-process the emitted URLs in the application to force the URL strings to be lowercase.
D. Update the CloudFront distribution to specify casing-insensitive query string processing.

#139 (Accuracy: 95% / 8 votes)

A company manages hundreds of AWS accounts centrally in an organization in AWS Organizations. The company recently started to allow product teams to create and manage their own S3 access points in their accounts. The S3 access points can be accessed only within VPCs, not on the internet.

What is the MOST operationally efficient way to enforce this requirement?

A. Set the S3 access point resource policy to deny the s3:CreateAccessPoint action unless the s3:AccessPointNetworkOrigin condition key evaluates to VPC.
B. Create an SCP at the root level in the organization to deny the s3:CreateAccessPoint action unless the s3:AccessPointNetworkOrigin condition key evaluates to VPC.
C. Use AWS CloudFormation StackSets to create a new IAM policy in each AWS account that allows the s3:CreateAccessPoint action only if the s3:AccessPointNetworkOrigin condition key evaluates to VPC.
D. Set the S3 bucket policy to deny the s3:CreateAccessPoint action unless the s3:AccessPointNetworkOrigin condition key evaluates to VPC.

#140 (Accuracy: 98% / 10 votes)

A company owns a chain of travel agencies and is running an application in the AWS Cloud. Company employees use the application to search for information about travel destinations. Destination content is updated four times each year.

Two fixed Amazon EC2 instances serve the application. The company uses an Amazon Route 53 public hosted zone with a multivalue record of travel.example.com that returns the Elastic IP addresses for the EC2 instances. The application uses Amazon DynamoDB as its primary data store. The company uses a self-hosted Redis instance as a caching solution.

During content updates, the load on the EC2 instances and the caching solution increases drastically. This increased load has led to downtime on several occasions. A solutions architect must update the application so that the application is highly available and can handle the load that is generated by the content updates.

Which solution will meet these requirements?

A. Set up DynamoDB Accelerator (DAX) as in-memory cache. Update the application to use DAX. Create an Auto Scaling group for the EC2 instances. Create an Application Load Balancer (ALB). Set the Auto Scaling group as a target for the ALB. Update the Route 53 record to use a simple routing policy that targets the ALB's DNS alias. Configure scheduled scaling for the EC2 instances before the content updates.
B. Set up Amazon ElastiCache for Redis. Update the application to use ElastiCache. Create an Auto Scaling group for the EC2 instances. Create an Amazon CloudFront distribution, and set the Auto Scaling group as an origin for the distribution. Update the Route 53 record to use a simple routing policy that targets the CloudFront distribution’s DNS alias. Manually scale up EC2 instances before the content updates.
C. Set up Amazon ElastiCache for Memcached. Update the application to use ElastiCache. Create an Auto Scaling group for the EC2 instances. Create an Application Load Balancer (ALB). Set the Auto Scaling group as a target for the ALB. Update the Route 53 record to use a simple routing policy that targets the ALB's DNS alias. Configure scheduled scaling for the application before the content updates.
D. Set up DynamoDB Accelerator (DAX) as in-memory cache. Update the application to use DAX. Create an Auto Scaling group for the EC2 instances. Create an Amazon CloudFront distribution, and set the Auto Scaling group as an origin for the distribution. Update the Route 53 record to use a simple routing policy that targets the CloudFront distribution's DNS alias. Manually scale up EC2 instances before the content updates.

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