A company is migrating an application from on-premises servers to Amazon EC2 instances. As part of the migration design requirements, a solutions architect must implement infrastructure metric alarms. The company does not need to take action if CPU utilization increases to more than 50% for a short burst of time. However, if the CPU utilization increases to more than 50% and read IOPS on the disk are high at the same time, the company needs to act as soon as possible. The solutions architect also must reduce false alarms.
What should the solutions architect do to meet these requirements?
A. Create Amazon CloudWatch composite alarms where possible.
B. Create Amazon CloudWatch dashboards to visualize the metrics and react to issues quickly.
C. Create Amazon CloudWatch Synthetics canaries to monitor the application and raise an alarm.
D. Create single Amazon CloudWatch metric alarms with multiple metric thresholds where possible.
A company is building a data analysis platform on AWS by using AWS Lake Formation. The platform will ingest data from different sources such as Amazon S3 and Amazon RDS. The company needs a secure solution to prevent access to portions of the data that contain sensitive information.
A. Create an IAM role that includes permissions to access Lake Formation tables.
B. Create data filters to implement row-level security and cell-level security.
C. Create an AWS Lambda function that removes sensitive information before Lake Formation ingests re data.
D. Create an AWS Lambda function that perodically Queries and removes sensitive information from Lake Formation tables.
A company is storing petabytes of data in Amazon S3 Standard. The data is stored in multiple S3 buckets and is accessed with varying frequency. The company does not know access patterns for all the data. The company needs to
implement a solution for each S3 bucket to optimize the cost of S3 usage.
Which solution will meet these requirements with the MOST operational efficiency?
A. Create an S3 Lifecycle configuration with a rule to transition the objects in the S3 bucket to S3 Intelligent-Tiering.
B. Use the S3 storage class analysis tool to determine the correct tier for each object in the S3 bucket. Move each object to the identified storage tier.
C. Create an S3 Lifecycle configuration with a rule to transition the objects in the S3 bucket to S3 Glacier Instant Retrieval.
D. Create an S3 Lifecycle configuration with a rule to transition the objects in the S3 bucket to S3 One Zone-Infrequent Access (S3 One Zone-IA).
A company has migrated multiple Microsoft Windows Server workloads to Amazon EC2 instances that run in the us-west-1 Region. The company manually backs up the workloads to create an image as needed.
In the event of a natural disaster in the us-west-1 Region, the company wants to recover workloads quickly in the us-west-2 Region. The company wants no more than 24 hours of data loss on the EC2 instances. The company also wants to
automate any backups of the EC2 instances.
Which solutions will meet these requirements with the LEAST administrative effort? (Choose two.)
A. Create an Amazon EC2-backed Amazon Machine Image (AMI) lifecycle policy to create a backup based on tags. Schedule the backup to run twice daily. Copy the image on demand.
B. Create an Amazon EC2-backed Amazon Machine Image (AMI) lifecycle policy to create a backup based on tags. Schedule the backup to run twice daily. Configure the copy to the us-west-2 Region.
C. Create backup vaults in us-west-1 and in us-west-2 by using AWS Backup. Create a backup plan for the EC2 instances based on tag values. Create an AWS Lambda function to run as a scheduled job to copy the backup data to us-west
2.
D. Create a backup vault by using AWS Backup. Use AWS Backup to create a backup plan for the EC2 instances based on tag values. Define the destination for the copy as us-west-2. Specify the backup schedule to run twice daily.
E. Create a backup vault by using AWS Backup. Use AWS Backup to create a backup plan for the EC2 instances based on tag values. Specify the backup schedule to run twice daily. Copy on demand to us-west-2.
A company has an API that receives real-time data from a fleet of monitoring devices. The API stores this data in an Amazon RDS DB instance for later analysis. The amount of data that the monitoring devices send to the API fluctuates. During periods of heavy traffic, the API often returns timeout errors.
After an inspection of the logs, the company determines that the database is not capable of processing the volume of write traffic that comes from the API. A solutions architect must minimize the number of connections to the database and
must ensure that data is not lost during periods of heavy traffic.
Which solution will meet these requirements?
A. Increase the size of the DB instance to an instance type that has more available memory.
B. Modify the DB instance to be a Multi-AZ DB instance. Configure the application to write to all active RDS DB instances.
C. Modify the API to write incoming data to an Amazon Simple Queue Service (Amazon SQS) queue. Use an AWS Lambda function that Amazon SQS invokes to write data from the queue to the database.
D. Modify the API to write incoming data to an Amazon Simple Notification Service (Amazon SNS) topic. Use an AWS Lambda function that Amazon SNS invokes to write data from the topic to the database.
A business application is hosted on Amazon EC2 and uses Amazon S3 for encrypted object storage. The chief information security officer has directed that no application traffic between the two services should traverse the public internet.
Which capability should the solutions architect use to meet the compliance requirements?
A. AWS Key Management Service (AWS KMS)
B. VPC endpoint
C. Private subnet
D. Virtual private gateway
A company is designing a new multi-tier web application that consists of the following components:
1.
Web and application servers that run on Amazon EC2 instances as part of Auto Scaling groups
2.
An Amazon RDS DB instance for data storage
A solutions architect needs to limit access to the application servers so that only the web servers can access them.
Which solution will meet these requirements?
A. Deploy AWS PrivateLink in front of the application servers. Configure the network ACL to allow only the web servers to access the application servers.
B. Deploy a VPC endpoint in front of the application servers. Configure the security group to allow only the web servers to access the application servers.
C. Deploy a Network Load Balancer with a target group that contains the application servers' Auto Scaling group. Configure the network ACL to allow only the web servers to access the application servers.
D. Deploy an Application Load Balancer with a target group that contains the application servers' Auto Scaling group. Configure the security group to allow only the web servers to access the application servers.
A company's marketing data is uploaded from multiple sources to an Amazon S3 bucket. A series of data preparation jobs aggregate the data for reporting. The data preparation jobs need to run at regular intervals in parallel. A few jobs need
to run in a specific order later.
The company wants to remove the operational overhead of job error handling, retry logic, and state management.
Which solution will meet these requirements?
A. Use an AWS Lambda function to process the data as soon as the data is uploaded to the S3 bucket. Invoke other Lambda functions at regularly scheduled intervals.
B. Use Amazon Athena to process the data. Use Amazon EventBridge Scheduler to invoke Athena on a regular internal.
C. Use AWS Glue DataBrew to process the data. Use an AWS Step Functions state machine to run the DataBrew data preparation jobs.
D. Use AWS Data Pipeline to process the data. Schedule Data Pipeline to process the data once at midnight.
A company needs to create an AWS Lambda function that will run in a VPC in the company's primary AWS account. The Lambda function needs to access files that the company stores in an Amazon Elastic File System (Amazon EFS) file system. The EFS file system is located in a secondary AWS account. As the company adds files to the file system, the solution must scale to meet the demand.
Which solution will meet these requirements MOST cost-effectively?
A. Create a new EFS file system in the primary account. Use AWS DataSync to copy the contents of the original EFS file system to the new EFS file system.
B. Create a VPC peering connection between the VPCs that are in the primary account and the secondary account.
C. Create a second Lambda function in the secondary account that has a mount that is configured for the file system. Use the primary account's Lambda function to invoke the secondary account's Lambda function.
D. Move the contents of the file system to a Lambda layer. Configure the Lambda layer's permissions to allow the company's secondary account to use the Lambda layer.
A company is developing a new application that uses a relational database to store user data and application configurations. The company expects the application to have steady user growth. The company expects the database usage to be
variable and read-heavy, with occasional writes.
The company wants to cost-optimize the database solution. The company wants to use an AWS managed database solution that will provide the necessary performance.
Which solution will meet these requirements MOST cost-effectively?
A. Deploy the database on Amazon RDS. Use Provisioned IOPS SSD storage to ensure consistent performance for read and write operations.
B. Deploy the database on Amazon Aurora Serverless to automatically scale the database capacity based on actual usage to accommodate the workload.
C. Deploy the database on Amazon DynamoDB. Use on-demand capacity mode to automatically scale throughput to accommodate the workload.
D. Deploy the database on Amazon RDS. Use magnetic storage and use read replicas to accommodate the workload.