A company recently deployed an application in production. The production environment currently runs on a single Amazon EC2 instance that hosts the application's web application and a MariaDB database. Company policy states that all IT production environments must be highly available.
What should a SysOps administrator do to meet this requirement?
A. Migrate the database from the EC2 instance to an Amazon RDS for MariaDB Multi-AZ DB instance. Run the application on EC2 instances that are in an Auto Scaling group that extends across multiple Availability Zones. Place the EC2 instances behind a load balancer.
B. Migrate the database from the EC2 instance to an Amazon RDS for MariaDB Multi-AZ DB instance. Use AWS Application Migration Service to convert the application into an AWS Lambda function. Specify the Multi-AZ option for the Lambda function.
C. Copy the database to a different EC2 instance in a different Availability Zone. Use AWS Backup to create Amazon Machine Images (AMIs) of the application EC2 instance and the database EC2 instance. Create an AWS Lambda function that performs health checks every minute. In case of failure, configure the Lambda function to launch a new EC2 instance from the AMIs that AWS Backup created.
D. Migrate the database to a different EC2 instance. Place the application EC2 instance in an Auto Scaling group that extends across multiple Availability Zones. Create an Amazon Machine Image (AMI) from the database EC2 instance. Use the AMI to launch a second database EC2 instance in a different Availability Zone. Put the second database EC2 instance in the stopped state. Use the second database EC2 instance as a standby.
A company has 50 AWS accounts and wants to create an identical Amazon VPC in each account. Any changes the company makes to the VPCs in the future must be implemented on every VPC. What is the MOST operationally efficient method to deploy and update the VPCs in each account?
A. Create an AWS CloudFormation template that defines the VPC. Sign in to the AWS Management Console under each account. Create a stack from the template.
B. Create a shell script that configures the VPC using the AWS CLI. Provide a list of accounts to the shell script from a text file. Create the VPC in every account in the list.
C. Create an AWS Lambda function that configures the VPStore the account information in Amazon DynamoDB. Grant Lambda access to the DynamoDB table. Create the VPC in every account in the list.
D. Create an AWS CloudFormation template that defines the VPC. Create an AWS CloudFormation StackSet based on the template. Deploy the template to all accounts using the stack set.
A company has deployed an application on AWS. The application runs on a fleet of Linux Amazon EC2 instances that are in an Auto Scaling group. The Auto Scaling group is configured to use launch templates. The launch templates launch
Amazon Elastic Block Store (Amazon EBS) backed EC2 instances that use General Purpose SSD (gp3) EBS volumes for primary storage.
A SysOps administrator needs to implement a solution to ensure that all the EC2 instances can share the same underlying files. The solution also must ensure that the data is consistent.
Which solution will meet these requirements?
A. Create an Amazon Elastic File System (Amazon EFS) file system. Create a new launch template version that includes user data that mounts the EFS file system. Update the Auto Scaling group to use the new launch template version to cycle in newer EC2 instances and to terminate the older EC2 instances.
B. Enable Multi-Attach on the EBS volumes. Create a new launch template version that includes user data that mounts the EBS volume. Update the Auto Scaling group to use the new template version to cycle in newer EC2 instances and to terminate the older EC2 instances.
C. Create a cron job that synchronizes the data between the EBS volumes for all the EC2 instances in the Auto Scaling group. Create a lifecycle hook during instance launch to configure the cron job on all the EC2 instances. Rotate out the older EC2 instances.
D. Create a new launch template version that creates an Amazon Elastic File System (Amazon EFS) file system. Update the Auto Scaling group to use the new template version to cycle in newer EC2 instances and to terminate the older EC2 instances.
A SysOps administrator needs to design a high-traffic static website. The website must be highly available and must provide the lowest possible latency to users across the globe. Which solution will meet these requirements?
A. Create an Amazon S3 bucket, and upload the website content to the S3 bucket. Create an Amazon CloudFront distribution in each AWS Region, and set the S3 bucket as the origin. Use Amazon Route 53 to create a DNS record that uses a geolocation routing policy to route traffic to the correct CloudFront distribution based on where the request originates.
B. Create an Amazon S3 bucket, and upload the website content to the S3 bucket. Create an Amazon CloudFront distribution, and set the S3 bucket as the origin. Use Amazon Route 53 to create an alias record that points to the CloudFront distribution.
C. Create an Application Load Balancer (ALB) and a target group. Create an Amazon EC2 Auto Scaling group with at least two EC2 instances in the associated target group. Store the website content on the EC2 instances. Use Amazon Route 53 to create an alias record that points to the ALB.
D. Create an Application Load Balancer (ALB) and a target group in two Regions. Create an Amazon EC2 Auto Scaling group in each Region with at least two EC2 instances in each target group. Store the website content on the EC2 instances. Use Amazon Route 53 to create a DNS record that uses a geolocation routing policy to route traffic to the correct ALB based on where the request originates.
A company has an application that customers use to search for records on a website. The application's data is stored in an Amazon Aurora DB cluster. The application's usage varies by season and by day of the week.
The website's popularity is increasing, and the website is experiencing slower performance because of increased load on the DB cluster during periods of peak activity. The application logs show that the performance issues occur when users
are searching for information. The same search is rarely performed multiple times.
A SysOps administrator must improve the performance of the platform by using a solution that maximizes resource efficiency.
Which solution will meet these requirements?
A. Deploy an Amazon ElastiCache for Redis cluster in front of the DB cluster. Modify the application to check the cache before the application issues new queries to the database. Add the results of any queries to the cache.
B. Deploy an Aurora Replica for the DB cluster. Modify the application to use the reader endpoint for search operations. Use Aurora Auto Scaling to scale the number of replicas based on load. Most Voted
C. Use Provisioned IOPS on the storage volumes that support the DB cluster to improve performance sufficiently to support the peak load on the application.
D. Increase the instance size in the DB cluster to a size that is sufficient to support the peak load on the application. Use Aurora Auto Scaling to scale the instance size based on load.
A company is running workloads on premises and on AWS. A SysOps administrator needs to automate tasks across all servers on premises by using AWS services. The SysOps administrator must not install long-term credentials on the on-premises servers.
What should the SysOps administrator do to meet these requirements?
A. Create an IAM role and instance profile that include AWS Systems Manager permissions. Attach the role to the on-premises servers.
B. Create a managed-instance activation in AWS Systems Manager. Install the Systems Manager Agent (SSM Agent) on the on-premises servers. Register the servers with the activation code and ID from the instance activation.
C. Create an AWS managed IAM policy that includes the appropriate AWS Systems Manager permissions. Download the IAM policy to the on-premises servers.
D. Create an IAM user and an access key. Log on to the on-premises servers and install the AWS CLI. Configure the access key in the AWS credentials file after the AWS CLI is successfully installed.
A company runs its web application on multiple Amazon EC2 instances that are part of an Auto Scaling group. The company wants the Auto Scaling group to scale out as soon as CPU utilization rises above 50% for the instances. How should a SysOps administrator configure the Auto Scaling group to meet these requirements?
A. Configure the Auto Scaling group to scale based on events.
B. Configure the Auto Scaling group to scale based on a schedule.
C. Configure the Auto Scaling group to scale dynamically based on demand.
D. Configure the Auto Scaling group to use predictive scaling.
A media company hosts a public news and video portal on AWS. The portal uses an Amazon DynamoDB table with provisioned capacity to maintain an index of video files that are stored in an Amazon S3 bucket. During a recent event, millions of visitors came to the portal for news. This increase in traffic caused read requests to be throttled in the DynamoDB table. Videos could not be displayed in the portal.
The company's operations team manually increased the provisioned capacity on a temporary basis to meet the demand. The company wants the operations team to receive an alert before the table is throttled in the future. The company has created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the operations team's email address to the SNS topic.
What should the company do next to meet these requirements?
A. Create an Amazon CloudWatch alarm that uses the ConsumedReadCapacityUnits metric. Set the alarm threshold to a value that is close to the DynamoDB table's provisioned capacity. Configure the alarm to publish notifications to the SNS topic.
B. Turn on auto scaling on the DynamoDB table. Configure an Amazon EventBridge rule to publish notifications to the SNS topic during scaling events.
C. Turn on Amazon CloudWatch Logs for the DynamoDB table. Create an Amazon CloudWatch metric filter to pattern match the THROTTLING_EXCEPTION status code from DynamoDB. Create a CloudWatch alarm for the metric. Select the SNS topic for notifications.
D. Configure the application to store logs in Amazon CloudWatch Logs. Create an Amazon CloudWatch metric filter to pattern match the THROTTLING_EXCEPTION status code from DynamoDB. Create a CloudWatch alarm for the metric. Select the SNS topic for notifications.
A company has implemented a Kubernetes cluster on Amazon Elastic Kubernetes Service (Amazon ECS) to host a microservices-based application. The company expects application traffic to increase significantly for the next month and wants to prevent the application from crashing because of the high number of requests.
Which solution will meet these requirements with the LEAST administrative overhead?
A. Create a second EKS cluster. Load balance the workload between the two clusters.
B. Implement the Kubernetes Horizontal Pod Autoscaler. Set a target CPU utilization percentage.
C. Migrate the application from Amazon EKS to Amazon EC2 for the next month. Migrate the application back to Amazon EKS when the month ends.
D. Implement the Kubernetes Vertical Pod Autoscaler. Set a target CPU utilization percentage.
A company deploys a new application to Amazon EC2 instances. The application code is stored in an AWS CodeCommit repository. The company uses an AWS CodePipeline pipeline to deploy the code to the EC2 instances through a continuous integration and continuous delivery (CI/CD) process.
A SysOps administrator needs to ensure that sensitive database information is configured properly on the EC2 instances to prevent accidental leakage of credentials.
Which solutions will store and retrieve the sensitive information in the MOST secure manner? (Choose two.)
A. Store the values in AWS Secrets Manager. Update the code to retrieve these values when the application starts. Store the values as environmental variables that the application can use.
B. Store the values in AWS Systems Manager Parameter Store as secret strings. Update the code to retrieve these values when the application starts. Store the values as environmental variables that the application can use.
C. Store the values in an AWS Lambda function. Update the code to invoke the Lambda function when the application starts. Configure the Lambda function to inject the values as environmental variables that the application can use.
D. Store the configuration information in a file on the EC2 instances. Ensure that the underlying drives are encrypted by AWS Key Management Service (AWS KMS). Update the application to read the file when the application starts. Store the values as environmental variables.
E. Store the values in a text file in an Amazon S3 bucket. In the CI/CD pipeline, copy the file to the EC2 instance in an appropriate location on a disk that the application can read.
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