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CertyIQ- parte 2

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Título del Test:
CertyIQ- parte 2

Descripción:
penúltimas preguntas

Fecha de Creación: 2026/03/04

Categoría: Otros

Número Preguntas: 10

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A company wants to migrate virtual Microsoft workloads from an on-premises data center to AWS. The company has successfully tested a few sample workloads on AWS. The company also has created an AWS Site-to-Site VPN connection to a VPC. A solutions architect needs to generate a total cost of ownership (TCO) report for the migration of all the workloads from the data center. Simple Network Management Protocol (SNMP) has been enabled on each VM in the data center. The company cannot add more VMs in the data center and cannot install additional software on the VMs. The discovery data must be automatically imported into AWS Migration Hub. Which solution will meet these requirements?. Use the AWS Application Migration Service agentless service and the AWS Migration Hub Strategy Recommendations to generate the TCO report. Launch a Windows Amazon EC2 instance. Install the Migration Evaluator agentless collector on the EC2 instance. Configure Migration Evaluator to generate the TCO report. Launch a Windows Amazon EC2 instance. Install the Migration Evaluator agentless collector on the EC2 instance. Configure Migration Hub to generate the TCO report. Use the AWS Migration Readiness Assessment tool inside the VPC. Configure Migration Evaluator to generate the TCO report.

A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company hosts some applications in a VPC in the company's shared services account. The company has attached a transit gateway to the VPC in the shared services account. The company is developing a new capability and has created a development environment that requires access to the applications that are in the shared services account. The company intends to delete and recreate resources frequently in the development account. The company also wants to give a development team the ability to recreate the team's connection to the shared services account as required. Which solution will meet these requirements?. Create a transit gateway in the development account. Create a transit gateway peering request to the shared services account. Configure the shared services transit gateway to automatically accept peering connections. Turn on automatic acceptance for the transit gateway in the shared services account. Use AWS Resource Access Manager (AWS RAM) to share the transit gateway resource in the shared services account with the development account. Accept the resource in the development account. Create a transit gateway attachment in the development account. Turn on automatic acceptance for the transit gateway in the shared services account. Create a VPC endpoint. Use the endpoint policy to grant permissions on the VPC endpoint for the development account. Configure the endpoint service to automatically accept connection requests. Provide the endpoint details to the development team. Create an Amazon EventBridge rule to invoke an AWS Lambda function that accepts the transit gateway attachment when the development account makes an attachment request. Use AWS Network Manager to share the transit gateway in the shared services account with the development account. Accept the transit gateway in the development account.

A company uses AWS Organizations to manage its AWS accounts. A solutions architect must design a solution in which only administrator roles are allowed to use IAM actions. However, the solutions architect does not have access to all the AWS accounts throughout the company. Which solution meets these requirements with the LEAST operational overhead?. Create an SCP that applies to all the AWS accounts to allow IAM actions only for administrator roles. Apply the SCP to the root OU. Configure AWS CloudTrail to invoke an AWS Lambda function for each event that is related to IAM actions. Configure the function to deny the action if the user who invoked the action is not an administrator. Create an SCP that applies to all the AWS accounts to deny IAM actions for all users except for those with administrator roles. Apply the SCP to the root OU. Set an IAM permissions boundary that allows IAM actions. Attach the permissions boundary to every administrator role across all the AWS accounts.

A company is running a web-crawling process on a list of target URLs to obtain training documents for machine learning training algorithms. A fleet of Amazon EC2 t2.micro instances pulls the target URLs from an Amazon Simple Queue Service (Amazon SQS) queue. The instances then write the result of the crawling algorithm as a .csv file to an Amazon Elastic File System (Amazon EFS) volume. The EFS volume is mounted on all instances of the fleet. A separate system adds the URLs to the SQS queue at infrequent rates. The instances crawl each URL in 10 seconds or less. Metrics indicate that some instances are idle when no URLs are in the SQS queue. A solutions architect needs to redesign the architecture to optimize costs. Which combination of steps will meet these requirements MOST cost-effectively? (Choose two.). Use m5.8xlarge instances instead of t2.micro instances for the web-crawling process. Reduce the number of instances in the fleet by 50%. Convert the web-crawling process into an AWS Lambda function. Configure the Lambda function to pull URLs from the SQS queue. Modify the web-crawling process to store results in Amazon Neptune. Modify the web-crawling process to store results in an Amazon Aurora Serverless MySQL instance. Modify the web-crawling process to store results in Amazon S3.

A company is using GitHub Actions to run a CI/CD pipeline that accesses resources on AWS. The company has an IAM user that uses a secret key in the pipeline to authenticate to AWS. An existing IAM role with an attached policy grants the required permissions to deploy resources. The company’s security team implements a new requirement that pipelines can no longer use long-lived secret keys. A solutions architect must replace the secret key with a short-lived solution. Which solution will meet these requirements with the LEAST operational overhead?. Create an IAM SAML 2.0 identity provider (IdP) in AWS Identity and Access Management (IAM). Create a new IAM role with the appropriate trust policy that allows the sts:AssumeRole API call. Attach the existing IAM policy to the new IAM role. Update GitHub to use SAML authentication for the pipeline. Create an IAM OpenID Connect (OIDC) identity provider (IdP) in AWS Identity and Access Management (IAM). Create a new IAM role with the appropriate trust policy that allows the sts:AssumeRoleWithWebIdentity API call from the GitHub OIDC IdP. Update GitHub to assume the role for the pipeline. Create an Amazon Cognito identity pool. Configure the authentication provider to use GitHub. Create a new IAM role with the appropriate trust policy that allows the sts:AssumeRoleWithWebIdentity API call from the GitHub authentication provider. Configure the pipeline to use Cognito as its authentication provider. Create a trust anchor to AWS Private Certificate Authority. Generate a client certificate to use with AWS IAM Roles Anywhere. Create a new IAM role with the appropriate trust policy that allows the sts:AssumeRole API call. Attach the existing IAM policy to the new IAM role. Configure the pipeline to use the credential helper tool and to reference the client certificate public key to assume the new IAM role.

A company wants to record key performance indicators (KPIs) from its application as part of a strategy to convert to a user-based licensing schema. The application is a multi-tier application with a web-based UI. The company saves all log files to Amazon CloudWatch by using the CloudWatch agent. All logins to the application are saved in a log file. As part of the new license schema, the company needs to find out how many unique users each client has on a daily basis, weekly basis, and monthly basis. Which solution will provide this information with the LEAST change to the application?. Configure an Amazon CloudWatch Logs metric filter that saves each successful login as a metric. Configure the user name and client name as dimensions for the metric. Change the application logic to make each successful login generate a call to the AWS SDK to increment a custom metric that records user name and client name dimensions in CloudWatch. Configure the CloudWatch agent to extract successful login metrics from the logs. Additionally, configure the CloudWatch agent to save the successful login metrics as a custom metric that uses the user name and client name as dimensions for the metric. Configure an AWS Lambda function to consume an Amazon CloudWatch Logs stream of the application logs. Additionally, configure the Lambda function to increment a custom metric in CloudWatch that uses the user name and client name as dimensions for the metric.

A software development company has multiple engineers who are working remotely. The company is running Active Directory Domain Services (AD DS) on an Amazon EC2 instance. The company's security policy states that all internal, nonpublic services that are deployed in a VPC must be accessible through a VPN. Multi-factor authentication (MFA) must be used for access to a VPN. What should a solutions architect do to meet these requirements?. Create an AWS Site-to-Site VPN connection. Configure integration between a VPN and AD DS. Use an Amazon WorkSpaces client with MFA support enabled to establish a VPN connection. Create an AWS Client VPN endpoint. Create an AD Connector directory for integration with AD DS. Enable MFA for AD Connector. Use AWS Client VPN to establish a VPN connection. Create multiple AWS Site-to-Site VPN connections by using AWS VPN CloudHub. Configure integration between AWS VPN CloudHub and AD DS. Use AWS Copilot to establish a VPN connection. Create an Amazon WorkLink endpoint. Configure integration between Amazon WorkLink and AD DS. Enable MFA in Amazon WorkLink. Use AWS Client VPN to establish a VPN connection.

A company is planning a migration from an on-premises data center to the AWS Cloud. The company plans to use multiple AWS accounts that are managed in an organization in AWS Organizations. The company will create a small number of accounts initially and will add accounts as needed. A solutions architect must design a solution that turns on AWS CloudTrail in all AWS accounts. What is the MOST operationally efficient solution that meets these requirements?. Create an AWS Lambda function that creates a new CloudTrail trail in all AWS accounts in the organization. Invoke the Lambda function daily by using a scheduled action in Amazon EventBridge. Create a new CloudTrail trail in the organization's management account. Configure the trail to log all events for all AWS accounts in the organization. Create a new CloudTrail trail in all AWS accounts in the organization. Create new trails whenever a new account is created. Define an SCP that prevents deletion or modification of trails. Apply the SCP to the root OU. Create an AWS Systems Manager Automation runbook that creates a CloudTrail trail in all AWS accounts in the organization. Invoke the automation by using Systems Manager State Manager.

A retail company wants to improve its application architecture. The company's applications register new orders, handle returns of merchandise, and provide analytics. The applications store retail data in a MySQL database and an Oracle OLAP analytics database. All the applications and databases are hosted on Amazon EC2 instances. Each application consists of several components that handle different parts of the order process. These components use incoming data from different sources. A separate ETL job runs every week and copies data from each application to the analytics database. A solutions architect must redesign the architecture into an event-driven solution that uses serverless services. The solution must provide updated analytics in near real time. Which solution will meet these requirements?. Migrate the individual applications as microservices to Amazon Elastic Container Service (Amazon ECS) containers that use AWS Fargate. Keep the retail MySQL database on Amazon EC2. Move the analytics database to Amazon Neptune. Use Amazon Simple Queue Service (Amazon SQS) to send all the incoming data to the microservices and the analytics database. Create an Auto Scaling group for each application. Specify the necessary number of EC2 instances in each Auto Scaling group. Migrate the retail MySQL database and the analytics database to Amazon Aurora MySQL. Use Amazon Simple Notification Service (Amazon SNS) to send all the incoming data to the correct EC2 instances and the analytics database. Migrate the individual applications as microservices to Amazon Elastic Kubernetes Service (Amazon EKS) containers that use AWS Fargate. Migrate the retail MySQL database to Amazon Aurora Serverless MySQL. Migrate the analytics database to Amazon Redshift Serverless. Use Amazon EventBridge to send all the incoming data to the microservices and the analytics database. Migrate the individual applications as microservices to Amazon AppStream 2.0. Migrate the retail MySQL database to Amazon Aurora MySQL. Migrate the analytics database to Amazon Redshift Serverless. Use AWS IoT Core to send all the incoming data to the microservices and the analytics database.

An ecommerce company runs an application on AWS. The application has an Amazon API Gateway API that invokes an AWS Lambda function. The data is stored in an Amazon RDS for PostgreSQL DB instance. During the company’s most recent flash sale, a sudden increase in API calls negatively affected the application's performance. A solutions architect reviewed the Amazon CloudWatch metrics during that time and noticed a significant increase in Lambda invocations and database connections. The CPU utilization also was high on the DB instance. What should the solutions architect recommend to optimize the application's performance?. Increase the memory of the Lambda function. Modify the Lambda function to close the database connections when the data is retrieved. Add an Amazon ElastiCache for Redis cluster to store the frequently accessed data from the RDS database. Create an RDS proxy by using the Lambda console. Modify the Lambda function to use the proxy endpoint. Modify the Lambda function to connect to the database outside of the function's handler. Check for an existing database connection before creating a new connection.

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