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Viewing questions 46-60 out of questions

Questions # 46:

A company is running an event ticketing platform on AWS and wants to optimize the platform's cost-effectiveness. The platform is deployed on Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 and is backed by an Amazon RDS for MySQL DB instance. The company is developing new application features to run on Amazon EKS with AWS Fargate.

The platform experiences infrequent high peaks in demand. The surges in demand depend on event dates.

Which solution will provide the MOST cost-effective setup for the platform?

Options:

Purchase Standard Reserved Instances for the EC2 instances that the EKS cluster uses in its baseline load. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet predicted peak load for the year.

Purchase Compute Savings Plans for the predicted medium load of the EKS cluster. Scale the cluster with On-Demand Capacity Reservations based on event dates for peaks. Purchase 1-year No Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale out database read replicas during peaks.

Purchase EC2 Instance Savings Plans for the predicted base load of the EKS cluster. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale up the DB instance manually during peaks.

Purchase Compute Savings Plans for the predicted base load of the EKS cluster. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale up the DB instance manually during peaks.

Questions # 47:

A research center is migrating to the AWS Cloud and has moved its on-premises 1 PB object storage to an Amazon S3 bucket. One hundred scientists are using this object storage to store their work-related documents. Each scientist has a personal folder on the object store. All the scientists are members of a single IAMuser group.

The research center's compliance officer is worried that scientists will be able to access each other's work. The research center has a strict obligation to report on which scientist accesses which documents.

The team that is responsible for these reports has little AWS experience and wants a ready-to-use solution that minimizes operational overhead.

Which combination of actions should a solutions architect take to meet these requirements? (Select TWO.)

Options:

Create an identity policy that grants the user read and write access. Add a condition that specifies that the S3 paths must be prefixed with ${aws:username}. Apply the policy on the scientists' IAM user group.

Configure a trail with AWS CloudTrail to capture all object-level events in the S3 bucket. Store the trail output in another S3 bucket. Use Amazon Athena to query the logs and generate reports.

Enable S3 server access logging. Configure another S3 bucket as the target for log delivery. Use Amazon Athena to query the logs and generate reports.

Create an S3 bucket policy that grants read and write access to users in the scientists' IAM user group.

Configure a trail with AWS CloudTrail to capture all object-level events in the S3 bucket and write the events to Amazon CloudWatch. Use the Amazon Athena CloudWatch connector to query the logs and generate reports.

Questions # 48:

A company is hosting a critical application on a single Amazon EC2 instance. The application uses an Amazon ElastiCache for Redis single-node cluster for an in-memory data store. The application uses an Amazon RDS for MariaDB DB instance for a relational database. For the application to function, each piece of the infrastructure must be healthy and must be in an active state.

A solutions architect needs to improve the application's architecture so that the infrastructure can automatically recover from failure with the least possible downtime.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Use an Elastic Load Balancer to distribute traffic across multiple EC2 instances. Ensure that the EC2 instances are part of an Auto Scaling group that has a minimum capacity of two instances.

Use an Elastic Load Balancer to distribute traffic across multiple EC2 instances Ensure that the EC2 instances are configured in unlimited mode.

Modify the DB instance to create a read replica in the same Availability Zone. Promote the read replica to be the primary DB instance in failure scenarios.

Modify the DB instance to create a Multi-AZ deployment that extends across two Availability Zones.

Create a replication group for the ElastiCache for Redis cluster. Configure the cluster to use an Auto Scaling group that has a minimum capacity of two instances.

Create a replication group for the ElastiCache for Redis cluster. Enable Multi-AZ on the cluster.

Answer

A, D, F

Questions # 49:

A company is running applications on AWS in a multi-account environment. The company's sales team and marketing team use separate AWS accounts in AWS Organizations.

The sales team stores petabytes of data in an Amazon S3 bucket. The marketing team uses Amazon QuickSight for data visualizations. The marketing team needs access to data that the sates team stores in the S3 bucket. The company has encrypted the S3 bucket with an AWS Key Management Service (AWS KMS) key. The marketing team has already created the IAM service role for QuickSight to provide QuickSight access in the marketing AWS account. The company needs a solution that will provide secure access to the data in the S3 bucket across AWS accounts.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Create a new S3 bucket in the marketing account. Create an S3 replication rule in the sales account to copy the objects to the new S3 bucket in the marketing account. Update the QuickSight permissions in the marketing account to grant access to the new S3 bucket.

Create an SCP to grant access to the S3 bucket to the marketing account. Use AWS Resource Access Manager (AWS RAM) to share the KMS key from the sates account with the marketing account. Update the QuickSight permissions in the marketing account to grant access to the S3 bucket.

Update the S3 bucket policy in the marketing account to grant access to the QuickSight role. Create a KMS grant for the encryption key that is used in the S3 bucket. Grant decrypt access to the QuickSight role. Update the QuickSight permissions in the marketing account to grant access to the S3 bucket.

Create an IAM role in the sales account and grant access to the S3 bucket. From the marketing account, assume the IAM role in the sales account to access the S3 bucket. Update the QuickSight rote, to create a trust relationship with the new IAM role in the sales account.

Questions # 50:

A company has an online learning platform that teaches data science. The platform uses the AWS Cloud to provision on-demand lab environments for its students. Each student receives a dedicated AWS account for a short time. Students need access to ml.p2.xlarge instances to run a single Amazon SageMaker machine learning training job and to deploy the inference endpoint. Account provisioning is automated. The accounts are members of an organization in AWS Organizations with all features enabled. The accounts must be provisioned in the ap-southeast-2 Region. The default resource usage quotas are not sufficient for the accounts. A solutions architect must enhance the account provisioning process to include automated quota increases. Which solution will meet these requirements?

Options:

Create a quota request template in the us-east-1 Region in the organization's management account. Enable template association. Add a quota for SageMaker in ap-southeast-2 for ml.p2.xlarge training job usage. Set the desired quota to 1. Add a quota for SageMaker in ap-southeast-2 for ml.p2.xlarge endpoint usage. Set the desired quota to 1.

Create a quota request template in ap-southeast-2 in the organization's management account. Enable template association. Add a quota for SageMaker in the us-east-1 Region for ml.p2.xlarge training job usage. Set the desired quota to 1. Add a quota for SageMaker in us-east-1 for ml.p2.xlarge endpoint usage. Set the desired quota to 1.

Questions # 51:

A company has more than 10.000 sensors that send data to an on-premises Apache Kafka server by using the Message Queuing Telemetry Transport (MQTT) protocol. The on-premises Kafka server transforms the data and then stores the results as objects in an Amazon S3 bucket.

Recently, the Kafka server crashed. The company lost sensor data while the server was being restored. A solutions architect must create a new design on AWS that is highly available and scalable to prevent a similar occurrence.

Which solution will meet these requirements?

Options:

Launch two Amazon EC2 instances to host the Kafka server in an active/standby configuration across two Availability Zones. Create a domain name in Amazon Route 53. Create a Route 53 failover policy. Route the sensors to send the data to the domain name.

Migrate the on-premises Kafka server to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Create a Network Load Balancer (NLB) that points to the Amazon MSK broker Enable NL8 health checks. Route the sensors to send the data to the NLB.

Deploy AWS loT Core, and connect it to an Amazon Kinesis Data Firehose delivery stream. Use an AWS Lambda function to handle data transformation. Route the sensors to send the data to AWS loT Core.

Deploy AWS loT Core, and launch an Amazon EC2 instance to host the Kafka server. Configure AWS loT Core to send the data to the EC2 instance. Route the sensors to send the data to AWS loT Core.

Questions # 52:

A company's solutions architect needs to provide secure Remote Desktop connectivity to users for Amazon EC2 Windows instances that are hosted in a VPC. The solution must integrate centralized user management with the company's on-premises Active Directory. Connectivity to the VPC is through the internet. The company has hardware that can be used to establish an AWS Site-to-Site VPN connection.

Which solution will meet these requirements MOST cost-effectively?

Options:

Deploy a managed Active Directory by using AWS Directory Service for Microsoft Active Directory. Establish a trust with the on-premises Active Directory.Deploy an EC2 instance as a bastion host in the VPC. Ensure that the EC2 instance is joined to the domain. Use the bastion host to access the target instances through RDP.

Configure AWS IAM Identity Center (AWS Single Sign-On) to integrate with the on-premises Active Directory by using the AWS Directory Service for MicrosoftActive Directory AD Connector. Configure permission sets against user groups for access to AWS Systems Manager. Use Systems Manager Fleet Manager toaccess the target instances through RDP.

Implement a VPN between the on-premises environment and the target VPC. Ensure that the target instances are joined to the on-premises Active Directory domain over the VPN connection. Configure RDP access through the VPN. Connect from the company's network to the target instances.

Deploy a managed Active Directory by using AWS Directory Service for Microsoft Active Directory. Establish a trust with the on-premises Active Directory.Deploy a Remote Desktop Gateway on AWS by using an AWS Quick Start. Ensure that the Remote Desktop Gateway is joined to the domain. Use the Remote Desktop Gateway to access the target instances through RDP.

Questions # 53:

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 recover 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?

Options:

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.

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 an Amazon Route 53 record set with a failover routing policy and health checks enabled to provide high availability across both Regions.

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.

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.

Questions # 54:

A company has Linux-based Amazon EC2 instances. Users must access the instances by using SSH with EC2 SSH Key pairs. Each machine requires a unique EC2 Key pair.

The company wants to implement a key rotation policy that will, upon request, automatically rotate all the EC2 key pairs and keep the key in a securely encrypted place. The company will accept less than 1 minute of downtime during key rotation.

Which solution will meet these requirement?

Options:

Store all the keys in AWS Secrets Manager. Define a Secrets Manager rotation schedule to invoke an AWS Lambda function to generate new key pairs. Replace public Keys on EC2 instances. Update the private keys in Secrets Manager.

Store all the keys in Parameter. Store, a capability of AWS Systems Manager, as a string. Define a Systems Manager maintenance window to invoke an AWS Lambda function to generate new key pairs. Replace public keys on EC2 instance. Update the private keys in parameter.

Import the EC2 key pairs into AWS Key Management Service (AWS KMS). Configure automatic key rotation for these key pairs. Create an Amazon EventlBridge scheduled rule to invoke an AWS Lambda function to initiate the key rotation AWS KMS.

Add all the EC2 instances to Feet Manager, a capability of AWS Systems Manager. Define a Systems Manager maintenance window to issue a Systems Manager Run Command document to generate new Key pairs and to rotate public keys to all the instances in Feet Manager.

Questions # 55:

A company wants to manage the costs associated with a group of 20 applications that are infrequently used, but are still business-critical, by migrating to AWS. The applications are a mix of Java and Node.js spread across different instance clusters. The company wants to minimize costs while standardizing by using a single deployment methodology.

Most of the applications are part of month-end processing routines with a small number of concurrent users, but they are occasionally run at other times Average application memory consumption is less than 1 GB. though some applications use as much as 2.5 GB of memory during peak processing. The most important application in the group is a billing report written in Java that accesses multiple data sources and often runs for several hours.

Which is the MOST cost-effective solution?

Options:

Deploy a separate AWS Lambda function tor each application. Use AWS CloudTrail logs and Amazon CloudWatch alarms to verify completion of critical jobs.

Deploy Amazon ECS containers on Amazon EC2 with Auto Scaling configured for memory utilization of 75%. Deploy an ECS task for each application being migrated with ECS task scaling. Monitor services and hosts by using Amazon CloudWatch.

Deploy AWS Elastic Beanstalk for each application with Auto Scaling to ensure that all requests have sufficient resources. Monitor each AWS Elastic Beanstalk deployment by using CloudWatch alarms.

Deploy a new Amazon EC2 instance cluster that co-hosts all applications by using EC2 Auto Scaling and Application Load Balancers. Scale cluster size based on a custom metric set on instance memory utilization. Purchase 3-year Reserved Instance reservations equal to the GroupMaxSize parameter of the Auto Scaling group.

Questions # 56:

A global ecommerce company has many data centers around the world. With the growth of its stored data, the company needs to set up a solution to provide scalable storage for legacy on-premises file applications. The company must be able to take point-in-time copies of volumes by using AWS Backup and must retain low-latency access to frequently accessed data. The company also needs to have storage volumes that can be mounted as Internet Small Computer System Interface (iSCSI) devices from the company's on-premises application servers.

Which solution will meet these requirements?

Options:

Provision an AWS Storage Gateway tape gateway. Configure the tape gateway to store data in anAmazon S3 bucket. Deploy AWS Backup to take point-in-time copies of the volumes.

Provision an Amazon FSx File Gateway and an Amazon S3 File Gateway. Deploy AWS Backup to take point-in-time copies of the data.

Provision an AWS Storage Gateway volume gateway in cache mode. Back up the on-premises Storage Gateway volumes with AWS Backup.

Provision an AWS Storage Gateway file gateway in cache mode. Deploy AWS Backup to take point-in-time copies of the volumes.

Questions # 57:

A company needs to optimize the cost of backups for Amazon Elastic File System (Amazon EFS). A solutions architect has already configured a backup plan in AWS Backup for the EFS backups. The backup plan contains a rule with a lifecycle configuration to transition EFS backups to cold storage after 7 days and to keep the backups for an additional 90 days.

After I month, the company reviews its EFS storage costs and notices an increase in the EFS backup costs. The EFS backup cold storage produces almost double the cost of the EFS warm backup storage.

What should the solutions architect do to optimize the cost?

Options:

Modify the backup rule's lifecycle configuration to move the EFS backups to cold storage after 1 day. Set the backup retention period to 30 days.

Modify the backup rule's lifecycle configuration to move the EFS backups to cold storage after 8 days. Set the backup retention period to 30 days.

Modify the backup rule's lifecycle configuration to move the EFS backups to cold storage after 1 day. Set the backup retention period to 90 days.

Modify the backup rule's lifecycle configuration to move the EFS backups to cold storage after 8 days. Set the backup retention period to 98 days.

Questions # 58:

A company needs to implement a patching process for its servers. The on-premises servers and Amazon EC2 instances use a variety of tools to perform patching. Management requires a single report showing the patch status of all the servers and instances.

Which set of actions should a solutions architect take to meet these requirements?

Options:

Use AWS Systems Manager to manage patches on the on-premises servers and EC2 instances. Use Systems Manager to generate patch compliance reports.

Use AWS OpsWorks to manage patches on the on-premises servers and EC2 instances. Use Amazon OuickSight integration with OpsWorks to generate patch compliance reports.

Use an Amazon EventBridge (Amazon CloudWatch Events) rule to apply patches by scheduling an AWS Systems Manager patch remediation job. Use Amazon Inspector to generate patch compliance reports.

Use AWS OpsWorks to manage patches on the on-premises servers and EC2 instances. Use AWS X-Ray to post the patch status to AWS Systems Manager OpsCenter to generate patch compliance reports.

Questions # 59:

A company has multiple AWS accounts. The company recently had a security audit that revealed many unencrypted Amazon Elastic Block Store (Amazon EBS) volumes attached to Amazon EC2 instances.

A solutions architect must encrypt the unencrypted volumes and ensure that unencrypted volumes will be detected automatically in the future. Additionally, the company wants a solution that can centrally manage multiple AWS accounts with a focus on compliance and security.

Which combination of steps should the solutions architect take to meet these requirements? (Choose two.)

Options:

Create an organization in AWS Organizations. Set up AWS Control Tower, and turn on the strongly recommended guardrails. Join all accounts to the organization. Categorize the AWS accounts into OUs.

Use the AWS CLI to list all the unencrypted volumes in all the AWS accounts. Run a script to encrypt all the unencrypted volumes in place.

Create a snapshot of each unencrypted volume. Create a new encrypted volume from the unencrypted snapshot. Detach the existing volume, and replace it with the encrypted volume.

Create an organization in AWS Organizations. Set up AWS Control Tower, and turn on the mandatory guardrails. Join all accounts to the organization. Categorize the AWS accounts into OUs.

Turn on AWS CloudTrail. Configure an Amazon EventBridge (Amazon CloudWatch Events) rule to detect and automatically encrypt unencrypted volumes.

Questions # 60:

A company is running an application in the AWS Cloud. The application consists of microservices that run on a fleet of Amazon EC2 instances in multiple Availability Zones behind an Application Load Balancer. The company recently added a new REST API that was implemented in Amazon API Gateway. Some of the older microservices that run on EC2 instances need to call this new API.

The company does not want the API to be accessible from the public internet and does not want proprietary data to traverse the public internet

What should a solutions architect do to meet these requirements?

Options:

Create an AWS Site-to-Site VPN connection between the VPC and the API Gateway. Use API Gateway to generate a unique API key for each microservice. Configure the API methods to require the key.

Create an interface VPC endpoint for API Gateway, and set an endpoint policy to only allow access to the specific API Add a resource policy to API Gateway to only allow access from the VPC endpoint. Change the API Gateway endpoint type to private.

Modify the API Gateway to use 1AM authentication. Update the 1AM policy for the 1AM role that is assigned to the EC2 Instances to allow access to the API Gateway. Move the API Gateway into a new VPC Deploy a transit gateway and connect the VPCs.

Create an accelerator in AWS Global Accelerator, and connect the accelerator to the API Gateway. Update the route table for all VPC subnets with a route to the created Global Accelerator endpoint IP address. Add an API key for each service to use for authentication.