SAP-C02 Exam Dumps - Amazon Web Services AWS Certified Professional Questions and Answers

Question # 139

An online retail company is migrating its legacy on-premises .NET application to AWS. The application runs on load-balanced frontend web servers, load-balanced application servers, and a Microsoft SQL Server database.

The company wants to use AWS managed services where possible and does not want to rewrite the application. A solutions architect needs to implement a solution to resolve scaling issues and minimize licensing costs as the application scales.

Which solution will meet these requirements MOST cost-effectively?

Options:

Deploy Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancerfor the web tier and for the application tier. Use Amazon Aurora PostgreSQL with Babelfish turned on to replatform the SOL Server database.

Create images of all the servers by using AWS Database Migration Service (AWS DMS). Deploy Amazon EC2 instances that are based on the on-premises imports. Deploy the instances in an Auto Scaling group behind a Network Load Balancer for the web tier and for the application tier. Use Amazon DynamoDB as the database tier.

Containerize the web frontend tier and the application tier. Provision an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Create an Auto Scaling group behind a Network Load Balancer for the web tier and for the application tier. Use Amazon RDS for SOL Server to host the database.

Separate the application functions into AWS Lambda functions. Use Amazon API Gateway for the web frontend tier and the application tier. Migrate the data to Amazon S3. Use Amazon Athena to query the data.

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Question # 140

A company wants to migrate an Amazon Aurora MySQL DB cluster from an existing AWS account to a new AWS account in the same AWS Region. Both accounts are members of the same organization in AWS Organizations.

The company must minimize database service interruption before the company performs DNS cutover to the new database.

Which migration strategy will meet this requirement?

Options:

Take a snapshot of the existing Aurora database. Share the snapshot with the new AWS account. Create an Aurora DB cluster in the new account from the snapshot.

Create an Aurora DB cluster in the new AWS account. Use AWS Database Migration Service (AWS DMS) to migrate data between the two Aurora DB clusters.

Use AWS Backup to share an Aurora database backup from the existing AWS account to the new AWS account. Create an Aurora DB cluster in the new AWS account from the snapshot.

Create an Aurora DB cluster in the new AWS account. Use AWS Application Migration Service to migrate data between the two Aurora DB clusters.

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Answer:

Explanation:

The best migration strategy to meet the requirement of minimizing database service interruption before the DNS cutover is to use AWS DMS to migrate data between the two Aurora DB clusters. AWS DMS can perform continuous replication of data with high availability and consolidate databases into a petabyte-scale data warehouse by streaming data to Amazon Redshift and Amazon S31. AWS DMS supports homogeneous migrations such as migrating from one Aurora MySQL DB cluster to another, as well as heterogeneous migrations between different database platforms2. AWS DMS also supports cross-account migrations, as long as the source and target databases are in the same AWS Region3.

The other options are not optimal for the following reasons:

Option A: Taking a snapshot of the existing Aurora database and restoring it in the new account would require a downtime during the snapshot and restore process, which could be significant for large databases. Moreover, any changes made to the source database after the snapshot would not be replicated to the target database, resulting in data inconsistency4.

Option C: Using AWS Backup to share an Aurora database backup from the existing AWS account to the new AWS account would have the same drawbacks as option A, as AWS Backup uses snapshots to create backups of Aurora databases.

Option D: Using AWS Application Migration Service to migrate data between the two Aurora DB clusters is not a valid option, as AWS Application Migration Service is designed to migrate applications, not databases, to AWS. AWS Application Migration Service can migrate applications from on-premises or other cloud environments to AWS, using agentless or agent-based methods.

[References:, 1: What Is AWS Database Migration Service? - AWS Database Migration Service, 2: Sources for Data Migration - AWS Database Migration Service, 3: AWS Database Migration Service FAQs, 4: Working with DB Cluster Snapshots - Amazon Aurora, : [Backing Up and Restoring an Amazon Aurora DB Cluster - Amazon Aurora], : [What is AWS Application Migration Service? - AWS Application Migration Service], , , , , , ]

Question # 141

A retail company needs to provide a series of data files to another company, which is its business partner These files are saved in an Amazon S3 bucket under Account A. which belongs to the retail company. The business partner company wants one of its 1AM users. User_DataProcessor. to access the files from its own AWS account (Account B).

Which combination of steps must the companies take so that User_DataProcessor can access the S3 bucket successfully? (Select TWO.)

Options:

Turn on the cross-origin resource sharing (CORS) feature for the S3 bucket in Account

In Account A. set the S3 bucket policy to the following:

C. In Account A. set the S3 bucket policy to the following:

D. In Account B. set the permissions of User_DataProcessor to the following:

E. In Account Bt set the permissions of User_DataProcessor to the following:

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Question # 142

A financial services company runs a complex, multi-tier application on Amazon EC2 instances and AWS Lambda functions. The application stores temporary data in Amazon S3. The S3 objects are valid for only 45 minutes and are deleted after 24 hours.

The company deploys each version of the application by launching an AWS CloudFormation stack. The stack creates all resources that are required to run the application. When the company deploys and validates a new application version, the company deletes the CloudFormation stack of the old version.

The company recently tried to delete the CloudFormation stack of an old application version, but the operation failed. An analysis shows that CloudFormation failed to delete an existing S3 bucket. A solutions architect needs to resolve this issue without making major changes to the application's architecture.

Which solution meets these requirements?

Options:

Implement a Lambda function that deletes all files from a given S3 bucket. Integrate this Lambda function as a custom resource into the CloudFormation stack. Ensure that the custom resource has a DependsOn attribute that points to the S3 bucket's resource.

Modify the CloudFormation template to provision an Amazon Elastic File System (Amazon EFS) file system to store the temporary files there instead of in Amazon S3. Configure the Lambda functions to run in the same VPC as the file system. Mount the file system to the EC2 instances and Lambda functions.

Modify the CloudFormation stack to create an S3 Lifecycle rule that expires all objects 45 minutes after creation. Add a DependsOn attribute that points to the S3 bucket's resource.

Modify the CloudFormation stack to attach a DeletionPolicy attribute with a value of Delete to the S3 bucket.

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Question # 143

A solutions architect is designing an AWS account structure for a company that consists of multiple teams. All the teams will work in the same AWS Region. The company needs a VPC that is connected to the on-premises network. The company expects less than 50 Mbps of total traffic to and from the on-premises network.

Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)

Options:

Create an AWS Cloud Formation template that provisions a VPC and the required subnets. Deploy the template to each AWS account.

Create an AWS Cloud Formation template that provisions a VPC and the required subnets. Deploy the template to a shared services account Share the subnets by using AWS Resource Access Manager.

Use AWS Transit Gateway along with an AWS Site-to-Site VPN for connectivity to the on-premises network. Share the transit gateway by using AWS Resource Access Manager.

Use AWS Site-to-Site VPN for connectivity to the on-premises network.

Use AWS Direct Connect for connectivity to the on-premises network.

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Question # 144

A company is running a web application in the AWS Cloud. The application consists of dynamic content that is created on a set of Amazon EC2 instances. The

EC2 instances run in an Auto Scaling group that is configured as a target group for an Application Load Balancer (ALB).

The company is using an Amazon CloudFront distribution to distribute the application globally. The CloudFront distribution uses the ALB as an origin. The company uses Amazon Route 53 for DNS and has created an A record of www.example.com for the CloudFront distribution.

A solutions architect must configure the application so that itis highly available and fault tolerant.

Which solution meets these requirements?

Options:

Provision a full, secondary application deployment in a different AWS Region. Update the Route 53 A record to be a failover record. Add both of the CloudFront distributions as values. Create Route 53 health checks.

Provision an ALB, an Auto Scaling group, and EC2 instances in a different AWS Region. Update the CloudFront distribution, and create a second origin for the new ALB. Create an origin group for the two origins. Configure one origin as primary and one origin as secondary.

Provision an Auto Scaling group and EC2 instances in a different AWS Region. Create a second target for the new Auto Scaling group in the ALB. Set up the failover routing algorithm on the ALB.

Provision a full, secondary application deployment in a different AWS Region. Create a second CloudFront distribution, and add the new application setup as an origin. Create an AWS Global Accelerator accelerator. Add both of the CloudFront distributions as endpoints.

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Question # 145

A company developed a pilot application by using AWS Elastic Beanstalk and Java. To save costs during development, the company's development team deployed the application into a single-instance environment. Recent tests indicate that the application consumes more CPU than expected. CPU utilization is regularly greater than 85%, which causes some performance bottlenecks.

A solutions architect must mitigate the performance issues before the company launches the application to production.

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

Options:

Create a new Elastic Beanstalk application. Select a load-balanced environment type. Select all Availability Zones. Add a scale-out rule that will run if the maximum CPU utilization is over 85% for 5 minutes.

Create a second Elastic Beanstalk environment. Apply the traffic-splitting deployment policy. Specify a percentage of incoming traffic to direct to the new environment in the average CPU utilization is over 85% for 5 minutes.

Modify the existing environment's capacity configuration to use a load-balanced environment type. Select all Availability Zones. Add a scale-out rule that will run if the average CPU utilization is over 85% for 5 minutes.

Select the Rebuild environment action with the load balancing option Select an Availability Zones Add a scale-out rule that will run if the sum CPU utilization is over 85% for 5 minutes.

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Question # 146

A company hosts a data-processing application on Amazon EC2 instances. The application polls an Amazon Elastic File System (Amazon EFS) file system for newly uploaded files. When a new file is detected, the application extracts data from the file and runs logic to select a Docker container image to process the file. The application starts the appropriate container image and passes the file location as a parameter.

The data processing that the container performs can take up to 2 hours. When the processing is complete, the code that runs inside the container writes the file back to Amazon EFS and exits.

The company needs to refactor the application to eliminate the EC2 instances that are running the containers

Which solution will meet these requirements?

Options:

Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an Amazon EventBridge rule that starts the appropriate Fargate task. Configure the EventBridge rule to run when files are added to the EFS file system.

Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Update and containerize the container selection logic to run as a Fargate service that starts the appropriate Fargate task. Configure an EFS event notification to invoke the Fargate service when files are added to the EFS file system.

Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an AWS Lambda function that starts the appropriate Fargate task. Migrate the storage of file uploads to an Amazon S3 bucket. Update theprocessing code to use Amazon S3. Configure an S3 event notification to invoke the Lambda function when objects are created.

Create AWS Lambda container images for the processing. Configure Lambda functions to use the container images. Extract the container selection logic torun as a decision Lambda function that invokes the appropriate Lambda processing function. Migrate the storage of file uploads to an Amazon S3 bucket.Update the processing code to use Amazon S3. Configure an S3 event notification to invoke the decision Lambda function when objects are created

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Question # 147

A company has developed an application that is running Windows Server on VMware vSphere VMs that the company hosts on premises The application data is stored in a proprietary format that must be read through the application The company manually provisioned the servers and the application

As part of its disaster recovery plan, the company wants the ability to host its application on AWS temporarily if the company's on-premises environment becomes unavailable The company wants the application to return to on-premises hosting after a disaster recovery event is complete The RPO is 5 minutes.

Which solution meets these requirements with the LEAST amount of operational overhead?

Options:

Configure AWS DataSync Replicate the data to Amazon Elastic Block Store (Amazon EBS) volumes When the on-premises environment is unavailable, use AWS Cloud Format ion templates to provision Amazon EC2 instances and attach the EBS volumes

Configure AWS Elastic Disaster Recovery Replicate the data to replication Amazon EC2 instances that are attached to Amazon Elastic Block Store (Amazon EBS) volumes When the on-premises environment is unavailable use Elastic Disaster Recovery to launch EC2 instances that use the replicated volumes

Provision an AWS Storage Gateway file gateway. Replicate the data to an Amazon S3 bucket When the on-premises environment is unavailable, use AWS Backup to restore the data to Amazon Elastic Block Store (Amazon EBS) volumes and launch Amazon EC2 instances from these EBS volumes

Provision an Amazon FSx for Windows File Server file system on AWS Replicate the data to the file system When the on-premises environment is unavailable, use AWS Cloud Format ion templates to provision Amazon EC2 instances and use AWS CloudFormation Init commands to mount the Amazon FSx file shares

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Question # 148

A company runs a new application as a static website in Amazon S3. The company has deployed the application to a production AWS account and uses Amazon CloudFront to deliver the website. The website calls an Amazon API Gateway REST API. An AWS Lambda function backs each API method.

The company wants to create a CSV report every 2 weeks to show each API Lambda function’s recommended configured memory, recommended cost, and the price difference between current configurations and the recommendations. The company will store the reports in an S3 bucket.

Which solution will meet these requirements with the LEAST development time?

Options:

Create a Lambda function that extracts metrics data for each API Lambda function from Amazon CloudWatch Logs for the 2-week penod_ Collate the data into tabular format. Store the data as a _csvfile in an S3 bucket. Create an Amazon Eventaridge rule to schedulethe Lambda function to run every 2 weeks.

Opt in to AWS Compute Optimizer. Create a Lambda function that calls the ExportLambdaFunctionRecommendatlons operation. Export the _csv file to an S3 bucket. Create an Amazon Eventaridge rule to schedule the Lambda function to run every 2 weeks.

Opt in to AWS Compute Optimizer. Set up enhanced infrastructure metrics. Within the Compute Optimizer console, schedule a job to export the Lambda recommendations to a _csvfile_ Store the file in an S3 bucket every 2 weeks.

Purchase the AWS Business Support plan for the production account. Opt in to AWS Compute Optimizer for AWS Trusted Advisor checks. In the Trusted Advisor console, schedule a job to export the cost optimization checks to a _csvfile_ Store the file in an S3 bucket every 2 weeks.

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Question # 149

A company needs to build a disaster recovery (DR) solution for its ecommerce website. The web application is hosted on a fleet of t3.Iarge Amazon EC2 instances and uses an Amazon RDS for MySQL DB instance. The EC2 instances are in an Auto Scaling group that extends across multiple Availability Zones.

In the event of a disaster, the web application must fail over to the secondary environment with an RPO of 30 seconds and an R TO of 10 minutes.

Which solution will meet these requirements MOST cost-effectively?

Options:

Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Create a cross-Region read replica for the DB instance. Set up a backup plan in AWS Backup to create cross-Region backups for the EC2 instances and the DB instance. Create a cron expression to back up the EC2 instances and the DB instance every 30 seconds to the DR Region. Recover the EC2 instances from the latest EC2 backup. Use an Amazon Route 53 geoloc

Use infrastructure as code (laC) to provision the new infrastructure in the DR Region. Create a cross-Region read replica for the DB instance. Set up AWS Elastic Disaster Recovery tocontinuously replicate the EC2 instances to the DR Region. Run the EC2 instances at the minimum capacity in the DR Region Use an Amazon Route 53 failover routing policy to automatically fail over to the DR Region in the event of a disaster. Increase the desired

Set up a backup plan in AWS Backup to create cross-Region backups for the EC2 instances and the DB instance. Create a cron expression to back up the EC2 instances and the DB instance every 30 seconds to the DR Region. Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Manually restore the backed-up data on new instances. Use an Amazon Route 53 simple routing policy to automatically fail over to the DR Reg

Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Create an Amazon Aurora global database. Set up AWS Elastic Disaster Recovery to continuously replicate the EC2 instances to the DR Region. Run the Auto Scaling group of EC2 instances at full capacity in the DR Region. Use an Amazon Route 53 failover routing policy to automatically fail over to the DR Region in the event of a disaster.

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Answer:

Explanation:

The company should use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. The company should create a cross-Region read replica for the DB instance. The company should set up AWS Elastic Disaster Recovery to continuously replicate the EC2 instances to the DR Region. The company should run the EC2 instances at the minimum capacity in the DR Region. The company should use an Amazon Route 53 failover routing policy to automatically fail over to the DR Region in the event of a disaster. The company should increase the desired capacity of the Auto Scaling group. This solution will meet the requirements most cost-effectively because AWS Elastic Disaster Recovery (AWS DRS) is a service that minimizes downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications using affordable storage, minimal compute, and point-in-time recovery. AWS DRS enables RPOs of seconds and RTOs of minutes1. AWS DRS continuously replicates data from the source servers to a staging area subnet in the DR Region, where it uses low-cost storage and minimal compute resources to maintain ongoing replication. In the event of a disaster, AWS DRS automatically converts the servers to boot and run natively on AWS and launches recovery instances on AWS within minutes2. By using AWS DRS, the company can save costs by removing idle recovery site resources and paying for the full disaster recovery site only when needed. By creating a cross-Region read replica for the DB instance, the company can have a standby copy of its primary database in a different AWS Region3. By using infrastructure as code (IaC), the company can provision the new infrastructure in the DR Region in an automated and consistent way4. By using an Amazon Route 53 failover routing policy, the company can route traffic to a resource that is healthy or to another resource when the first resource becomes unavailable.

The other options are not correct because:

Using AWS Backup to create cross-Region backups for the EC2 instances and the DB instance would not meet the RPO and RTO requirements. AWS Backup is a service that enables you to centralize and automate data protection across AWS services. You can use AWS Backup to back up your application data across AWS services in your account and across accounts. However, AWS Backup does not provide continuous replication or fast recovery; it creates backups at scheduled intervalsand requires manual restoration. Creating backups every 30 seconds would also incur high costs and network bandwidth.

Creating an Amazon API Gateway Data API service integration with Amazon Redshift would not help with disaster recovery. The Data API is a feature that enables you to query your Amazon Redshift cluster using HTTP requests, without needing a persistent connection or a SQL client. It is useful for building applications that interact with Amazon Redshift, but not for replicating or recovering data.

Creating an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift cluster would not help with disaster recovery. AWS Data Exchange is a service that makes it easy for AWS customers to exchange data in the cloud. You can use AWS Data Exchange to subscribe to a diverse selection of third-party data products or offer your own data products to other AWS customers. A datashare is a feature that enables you to share live and secure access to your Amazon Redshift data across your accounts or with third parties without copying or moving the underlying data. It is useful for sharing query results and views with other users, but not for replicating or recovering data.

[References:, https://aws.amazon.com/disaster-recovery/, https://docs.aws.amazon.com/drs/latest/userguide/what-is-drs.html, https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html#USER_ReadRepl.XRgn, https://aws.amazon.com/cloudformation/, https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover.html, https://aws.amazon.com/backup/, https://docs.aws.amazon.com/redshift/latest/mgmt/data-api.html, https://aws.amazon.com/data-exchange/, https://docs.aws.amazon.com/redshift/latest/dg/datashare-overview.html, , , , , , ]

Question # 150

A company has registered 10 new domain names. The company uses the domains for online marketing. The company needs a solution that will redirect online visitors to a specific URL for each domain. All domains and target URLs are defined in a JSON document. All DNS records are managed by Amazon Route 53.

A solutions architect must implement a redirect service that accepts HTTP and HTTPS requests.

Which combination of steps should the solutions architect take to meet these requirements with the LEAST amount of operational effort? (Choose three.)

Options:

Create a dynamic webpage that runs on an Amazon EC2 instance. Configure the webpage to use the JSON document in combination with the event message to look up and respond with a redirect URL.

Create an Application Load Balancer that includes HTTP and HTTPS listeners.

Create an AWS Lambda function that uses the JSON document in combination with the event message to look up and respond with a redirect URL.

Use an Amazon API Gateway API with a custom domain to publish an AWS Lambda function.

Create an Amazon CloudFront distribution. Deploy a Lambda@Edge function.

Create an SSL certificate by using AWS Certificate Manager (ACM). Include the domains as Subject Alternative Names.

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Question # 151

A company provides a centralized Amazon EC2 application hosted in a single shared VPC The centralized application must be accessible from client applications running in the VPCs of other business units The centralized application front end is configured with a Network Load Balancer (NLB) for scalability

Up to 10 business unit VPCs will need to be connected to the shared VPC Some ot the business unit VPC CIDR blocks overlap with the shared VPC and some overlap with each other Network connectivity to the centralized application in the shared VPC should be allowed from authorized business unit VPCs only

Which network configuration should a solutions architect use to provide connectivity from the client applications in the business unit VPCs to the centralized application in the shared VPC?

Options:

Create an AWS Transit Gateway Attach the shared VPC and the authorized business unit VPCs to the transit gateway Create a single transit gateway route table and associate it with all of the attached VPCs Allow automatic propagation of routes from the attachments into the route table Configure VPC routing tables to send traffic to the transit gateway

Create a VPC endpoint service using the centralized application NLB and enable the option to require endpoint acceptance Create a VPC endpoint in each of the business unit VPCs using the service name of the endpoint service. Accept authorized endpoint requests from the endpoint serviceconsole.

Create a VPC peering connection from each business unit VPC to the shared VPC Accept the VPC peering connections from the shared VPC console Configure VPC routing tables to send traffic to the VPC peering connection

Configure a virtual private gateway for the shared VPC and create customer gateways for each of the authorized business unit VPCs Establish a Site-to-Site VPN connection from the business unit VPCs to the shared VPC Configure VPC routing tables to send traffic to the VPN connection

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Question # 152

A solutions architect has implemented a SAML 2 0 federated identity solution with their company's on-premises identity provider (IdP) to authenticate users' access to the AWS environment. When the solutions architect tests authentication through the federated identity web portal, access to the AWS environment is granted However when test users attempt to authenticate through the federated identity web portal, they are not able to access the AWS environment

Which items should the solutions architect check to ensure identity federation isproperly configured? (Select THREE)

Options:

The 1AM user's permissions policy has allowed the use of SAML federation for that user

The 1AM roles created for the federated users' or federated groups' trust policy have set the SAML provider as the principal

Test users are not in the AWSFederatedUsers group in the company's IdP

The web portal calls the AWS STS AssumeRoleWithSAML API with the ARN of the SAML provider, the ARN of the 1AM role, and the SAML assertion from IdP

The on-premises IdP's DNS hostname is reachable from the AWS environment VPCs

The company's IdP defines SAML assertions that properly map users or groups in the company to 1AM roles with appropriate permissions

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Question # 153

Question:

A company is replicating an application in asecondary Region. The application usesDynamoDBandRDS for MySQL. The secondary Region must function independently during adisaster.

Options:

Use DynamoDB global tables and an RDS read replica.

Use DAX and a read replica.

Use global tables and RDS Multi-AZ with standby in secondary Region.

Use Streams and Lambda to copy data. Use read replica.

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Exam Code: SAP-C02

Exam Name: AWS Certified Solutions Architect - Professional

Last Update: Aug 1, 2025

Questions: 562

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