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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q331-Q336):
NEW QUESTION # 331
A retail company has structured its AWS accounts to be part of an organization in AWS Organizations. The company has set up consolidated billing and has mapped its departments to the following OUs: Finance, Sales, Human Resources (HR), Marketing, and Operations. Each OU has multiple AWS accounts, one for each environment within a department. These environments are development, test, pre-production, and production.
The HR department is releasing a new system that will launch in 3 months. In preparation, the HR department has purchased several Reserved Instances (RIs) in its production AWS account. The HR department will install the new application on this account. The HR department wants to make sure that other departments cannot share the RI discounts.
Which solution will meet these requirements?
- A. In the AWS Billing and Cost Management console for the HR department's production account turn off Rl sharing.
- B. In the AWS Billing and Cost Management console, use the organization's management account 10 turn off Rl Sharing for the HR departments production AWS account.
- C. Remove the HR department's production AWS account from the organization. Add the account 10 the consolidating billing configuration only.
- D. Create an SCP in the organization to restrict access to the RIs. Apply the SCP to the OUs of the other departments.
Answer: B
Explanation:
Explanation
This solution will meet the HR department's requirements because it allows the company to turn off RI sharing for the specific production account of the HR department through the organization's management account.
This will prevent the reserved instances from being shared across the organization, and other departments will not be able to access or use the RIs. This approach allows the organization to manage the sharing of RIs at a central level, which could be useful if there are multiple departments or accounts that need to be managed in this way.
NEW QUESTION # 332
A company is deploying a new web-based application and needs a storage solution for the Linux application servers. The company wants to create a single location for updates to application data for all instances. The active dataset will be up to 100 GB in size. A solutions architect has determined that peak operations will occur for 3 hours daily and will require a total of 225 MiBps of read throughput.
The solutions architect must design a Multi-AZ solution that makes a copy of the data available in another AWS Region for disaster recovery (DR). The DR copy has an RPO of less than 1 hour.
Which solution will meet these requirements?
- A. Deploy an Amazon FSx for OpenZFS file system in both the production Region and the DR Region.
Create an AWS DataSync scheduled task to replicate the
data from the production file system to the DR file system every 10 minutes. - B. Deploy a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS) volume with 225 MiBps of throughput. Enable Multi-Attach for the EBS volume. Use AWS Elastic Disaster Recovery to replicate the EBS volume to the DR Region.
- C. Deploy a new Amazon Elastic File System (Amazon EFS) Multi-AZ file system. Configure the file system for 75 MiBps of provisioned throughput. Implement replication to a file system in the DR Region.
- D. Deploy a new Amazon FSx for Lustre file system. Configure Bursting Throughput mode for the file system. Use AWS Backup to back up the file system to the DR Region.
Answer: C
Explanation:
Explanation
The company should deploy a new Amazon Elastic File System (Amazon EFS) Multi-AZ file system. The company should configure the file system for 75 MiBps of provisioned throughput. The company should implement replication to a file system in the DR Region. This solution will meet the requirements because Amazon EFS is a serverless, fully elastic file storage service that lets you share file data without provisioning or managing storage capacity and performance. Amazon EFS is built to scale on demand to petabytes without disrupting applications, growing and shrinking automatically as you add and remove files1. By deploying a new Amazon EFS Multi-AZ file system, the company can create a single location for updates to application data for all instances. A Multi-AZ file system replicates data across multiple Availability Zones (AZs) within a Region, providing high availability and durability . By configuring the file system for 75 MiBps of provisioned throughput, the company can ensure that it meets the peak operations requirement of 225 MiBps of read throughput. Provisioned throughput is a feature that enables you to specify a level of throughput that the file system can drive independent of the file system's size or burst credit balance3. By implementing replication to a file system in the DR Region, the company can make a copy of the data available in another AWS Region for disaster recovery. Replication is a feature that enables you to replicate data from one EFS file system to another EFS file system across AWS Regions. The replication process has an RPO of less than 1 hour.
The other options are not correct because:
Deploying a new Amazon FSx for Lustre file system would not provide a single location for updates to application data for all instances. Amazon FSx for Lustre is a fully managed service that provides cost-effective, high-performance storage for compute workloads. However, it does not support concurrent write access from multiple instances. Using AWS Backup to back up the file system to the DR Region would not provide real-time replication of data. AWS Backup is a service that enables you to centralize and automate data protection across AWS services. However, it does not support continuous data replication or cross-Region disaster recovery.
Deploying a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS) volume with 225 MiBps of throughput would not provide a single location for updates to application data for all instances. Amazon EBS is a service that provides persistent block storage volumes for use with Amazon EC2 instances. However, it does not support concurrent access from multiple instances, unless Multi-Attach is enabled. Enabling Multi-Attach for the EBS volume would not provide Multi-AZ resilience or cross-Region replication. Multi-Attach is a feature that enables you to attach an EBS volume to multiple EC2 instances within the same Availability Zone. Using AWS Elastic Disaster Recovery to replicate the EBS volume to the DR Region would not provide real-time replication of data.
AWS Elastic Disaster Recovery (AWS DRS) is a service that enables you to orchestrate and automate disaster recovery workflows across AWS Regions. However, it does not support continuous data replication or sub-hour RPOs.
Deploying an Amazon FSx for OpenZFS file system in both the production Region and the DR Region would not be as simple or cost-effective as using Amazon EFS. Amazon FSx for OpenZFS is a fully managed service that provides high-performance storage with strong data consistency and advanced data management features for Linux workloads. However, it requires more configuration and management than Amazon EFS, which is serverless and fully elastic. Creating an AWS DataSync scheduled task to replicate the data from the production file system to the DR file system every 10 minutes would not provide real-time replication of data. AWS DataSync is a service that enables you to transfer data between on-premises storage and AWS services, or between AWS services. However, it does not support continuous data replication or sub-minute RPOs.
References:
https://aws.amazon.com/efs/
https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html#how-it-works-azs
https://docs.aws.amazon.com/efs/latest/ug/performance.html#provisioned-throughput
https://docs.aws.amazon.com/efs/latest/ug/replication.html
https://aws.amazon.com/fsx/lustre/
https://aws.amazon.com/backup/
https://aws.amazon.com/ebs/
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-volumes-multi.html
NEW QUESTION # 333
A company hosts a software as a service (SaaS) solution on AWS. The solution has an Amazon API Gateway API that serves an HTTPS endpoint. The API uses AWS Lambda functions for compute. The Lambda functions store data in an Amazon Aurora Serverless VI database.
The company used the AWS Serverless Application Model (AWS SAM) to deploy the solution. The solution extends across multiple Availability Zones and has no disaster recovery (DR) plan.
A solutions architect must design a DR strategy that can recover the solution in another AWS Region. The solution has an R TO of 5 minutes and an RPO of 1 minute.
What should the solutions architect do to meet these requirements?
- A. Create a read replica of the Aurora Serverless VI database in the target Region. Use AWS SAM to create a runbook to deploy the solution to the target Region. Promote the read replica to primary in case of disaster.
- B. Change the Aurora Serverless VI database to a standard Aurora MySQL global database that extends across the source Region and the target Region. Use AWS SAM to create a runbook to deploy the solution to the target Region.
- C. Change the Aurora Serverless VI database to a standard Aurora MySQL global database that extends across the source Region and the target Region.Launch the solution in the target Region. Configure the two Regional solutions to work in an active-passive configuration.
- D. Create an Aurora Serverless VI DB cluster that has multiple writer instances in the target Region.
Launch the solution in the target Region. Configure the two Regional solutions to work in an active- passive configuration.
Answer: C
Explanation:
Explanation: This option allows the solutions architect to use Aurora global database to replicate data across multiple AWS Regions with low latency and high availability1. By launching the solution in the target Region, the solutions architect can ensure that the API Gateway, Lambda functions, and other resources are ready to serve traffic in case of a disaster in the source Region. By configuring the two Regional solutions to work in an active-passive configuration, the solutions architect can minimize costs and avoid data conflicts by having only one primary Region that accepts write operations and one secondary Region that serves as a standby2. The RTO and RPO requirements can be met by using Aurora global database, which supports sub- second failover times and near real-time replication1.
:
Working with Amazon Aurora global database
Active-passive failover
NEW QUESTION # 334
A company is migrating mobile banking applications to run on Amazon EC2 instances in a VPC.
Backend service applications run in an on-premises data center. The data center has an AWS Direct Connect connection into AWS. The applications that run in the VPC need to resolve DNS requests to an on-premises Active Directory domain that runs in the data center.
Which solution will meet these requirements with the LEAST administrative overhead?
- A. Provision a new Active Directory domain controller in the VPC with a bidirectional trust between this new domain and the on-premises Active Directory domain.
- B. Create DNS endpoints by using Amazon Route 53 Resolver. Add conditional forwarding rules to resolve DNS namespaces between the on-premises data center and the VPC.
- C. Provision an Amazon Route 53 private hosted zone. Configure NS records that point to on- premises DNS servers.
- D. Provision a set of EC2 instances across two Availability Zones in the VPC as caching DNS servers to resolve DNS queries from the application servers within the VPC.
Answer: B
Explanation:
To forward DNS queries from your VPCs to your network, you create an outbound endpoint.
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/resolver-forwarding-outbound- queries.html
NEW QUESTION # 335
A software as a service (SaaS) based company provides a case management solution to customers A3 part of the solution. The company uses a standalone Simple Mail Transfer Protocol (SMTP) server to send email messages from an application. The application also stores an email template for acknowledgement email messages that populate customer data before the application sends the email message to the customer.
The company plans to migrate this messaging functionality to the AWS Cloud and needs to minimize operational overhead.
Which solution will meet these requirements MOST cost-effectively?
- A. Set up an SMTP server on Amazon EC2 instances by using an AMI from the AWS Marketplace. Store the email template in Amazon Simple Email Service (Amazon SES) with parameters for the customer data. Create an AWS Lambda function to call the SES template and to pass customer data to replace the parameters. Use the AWS Marketplace SMTP server to send the email message.
- B. Set up an SMTP server on Amazon EC2 instances by using an AMI from the AWS Marketplace. Store the email template in an Amazon S3 bucket. Create an AWS Lambda function to retrieve the template from the S3 bucket and to merge the customer data from the application with the template. Use an SDK in the Lambda function to send the email message.
- C. Set up Amazon Simple Email Service (Amazon SES) to send email messages. Store the email template on Amazon SES with parameters for the customer data. Create an AWS Lambda function to call the SendTemplatedEmail API operation and to pass customer data to replace the parameters and the email destination.
- D. Set up Amazon Simple Email Service (Amazon SES) to send email messages. Store the email template in an Amazon S3 bucket. Create an AWS Lambda function to retrieve the template from the S3 bucket and to merge the customer data from the application with the template. Use an SDK in the Lambda function to send the email message.
Answer: D
NEW QUESTION # 336
......
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