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The SAP-C02 certification exam is an important milestone for IT professionals who want to advance their careers in cloud computing. It demonstrates their expertise in designing and deploying complex applications on the AWS platform and validates their skills and knowledge to potential employers. By passing the SAP-C02 exam, candidates can prove their proficiency in managing and deploying cloud-based solutions at an enterprise level.

Amazon SAP-C02 Certification Exam is designed to test the skills and knowledge of IT professionals in deploying and managing complex applications on the AWS platform. AWS Certified Solutions Architect - Professional (SAP-C02) certification is aimed at professionals who have already obtained the AWS Certified Solutions Architect - Associate certification and want to advance their knowledge and skills to become a professional solutions architect.

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The SAP-C02 certification exam consists of 75 multiple-choice and multiple-response questions, and candidates are given 180 minutes to complete the exam. SAP-C02 exam is computer-based and can be taken at a testing center or online. SAP-C02 Exam Fee is $300 USD, and candidates who successfully pass the exam will earn the AWS Certified Solutions Architect - Professional certification.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q503-Q508):

NEW QUESTION # 503
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 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.
B. 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.
C. 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.
D. 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.

Answer: D

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 durability2. 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 # 504
A company has more than 20 application development teams. All the teams use AWS CloudFormation to deploy application resources in the company ' s production AWS account. The production account is a member of an organization in AWS Organizations that has all features enabled.
The company must ensure that all resources that the development teams provision match a set of predefined rules. The company needs a solution to prevent users from provisioning noncompliant resources through CloudFormation.
Which solution will meet these requirements with the LEAST operational overhead?

A. Implement the configuration rules by using AWS CloudFormation Guard rules. Use the cfn-guard- lambda command to install Guard as an AWS Lambda function. Build and run Guard by invoking the Lambda function. Provide the CloudFormation template and the rule set as inputs to the function.
B. Implement each configuration rule as a separate AWS Config custom AWS Lambda rule. Deploy the Lambda functions to the company ' s production account. Implement SCPs to prevent changes to the Lambda functions and to deny any operation that could disable AWS Config or its rules or triggers in the production account.
C. Implement the configuration rules as an AWS Lambda function. Configure a CloudFormation macro definition to make the Lambda function available to CloudFormation. Configure the function to check the CloudFormation template against the configuration rules. Use the macro in all CloudFormation deployment templates.
D. Use CloudFormation Hooks to implement the configuration rules. Use a separate AWS Lambda function to enforce each rule. Use CloudFormation StackSets to deploy and register Hooks across all member accounts in the organization. Use SCPs and IAM policies to prevent Hook modifications and Lambda function changes in member accounts.

Answer: D

Explanation:
The requirement is preventive enforcement during CloudFormation provisioning. AWS CloudFormation Hooks are designed to evaluate CloudFormation and Cloud Control API operations before resources are created or updated. If a resource is noncompliant, a Hook can fail the operation and prevent provisioning.
Lambda Hooks allow custom logic, which fits predefined company-specific rules. Deploying and protecting Hooks centrally with StackSets, SCPs, and IAM policies gives consistent enforcement across the organization with low operational overhead. AWS Config custom rules are detective controls; they evaluate resources after deployment and cannot reliably prevent initial creation. CloudFormation macros require templates to explicitly use the macro and are not a universal enforcement layer. Manually invoking CloudFormation Guard through a Lambda function does not automatically block every CloudFormation deployment unless separately integrated.

NEW QUESTION # 505
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?

A. 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.
B. Create AWS Lambda container images for the processing. Configure Lambda functions to use the container images. Extract the container selection logic to run 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.
C. 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.
D. 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 the processing code to use Amazon S3. Configure an S3 event notification to invoke the Lambda function when objects are created.

Answer: A

NEW QUESTION # 506
A large education company recently introduced Amazon Workspaces to provide access to internal applications across multiple universities. The company is storing user profiles on an Amazon FSx (or Windows File Server file system. The tile system is configured with a DNS alias and is connected to a self-managed Active Directory. As more users begin to use the Workspaces, login time increases to unacceptable levels.
An investigation reveals a degradation in performance of the file system. The company created the file system on HDD storage with a throughput of 16 MBps. A solutions architect must improve the performance of the file system during a defined maintenance window.
What should the solutions architect do to meet these requirements with the LEAST administrative effort?

A. Disconnect users from the file system. In the Amazon FSx console, update the throughput capacity to 32 MBps. Update the storage type to SSD. Reconnect users to the file system.
B. Deploy an AWS DataSync agent onto a new Amazon EC2 Instance. Create a task. Configure the existing file system as the source location. Configure a new FSx for Windows File Server file system with SSD storage and 32 MBps of throughput as the target location. Schedule the task. When the task is completed, adjust the DNS alias accordingly. Delete the original file system.
C. Use AWS Backup to create a point-ln-lime backup of the file system. Restore the backup to a new FSx for Windows File Server file system. Select SSD as the storage type Select 32 MBps as the throughput capacity. When the backup and restore process Is completed, adjust the DNS alias accordingly. Delete the original file system.
D. Enable shadow copies on the existing file system by using a Windows PowerShell command. Schedule the shadow copy job to create a point-in-time backup of the file system. Choose to restore previous versions. Create a new FSx for Windows File Server file system with SSD storage and 32 MBps of throughput. When the copy job is completed, adjust the DNS alias. Delete the original file system.

Answer: B

Explanation:
https://docs.aws.amazon.com/fsx/latest/WindowsGuide/migrate-files-to-fsx-datasync.html

NEW QUESTION # 507
A company with several AWS accounts is using AWS Organizations and service control policies (SCPs). An Administrator created the following SCP and has attached it to an organizational unit (OU) that contains AWS account 1111-1111-1111:

Developers working in account 1111-1111-1111 complain that they cannot create Amazon S3 buckets. How should the Administrator address this problem?

A. Instruct the Developers to add Amazon S3 permissions to their IAM entities.
B. Add s3:CreateBucket with "Allow" effect to the SCP.
C. Remove the SCP from account 1111-1111-1111.
D. Remove the account from the OU, and attach the SCP directly to account 1111-1111-1111.

Answer: A

Explanation:
However A's explanation is incorrect - https://docs.aws.amazon.com/organizations/latest/userguide
/orgs_manage_policies_scps.html
"SCPs are similar to AWS Identity and Access Management (IAM) permission policies and use almost the same syntax. However, an SCP never grants permissions." SCPs alone are not sufficient to granting permissions to the accounts in your organization. No permissions are granted by an SCP. An SCP defines a guardrail, or sets limits, on the actions that the account's administrator can delegate to the IAM users and roles in the affected accounts. The administrator must still attach identity- based or resource-based policies to IAM users or roles, or to the resources in your accounts to actually grant permissions. The effective permissions are the logical intersection between what is allowed by the SCP and what is allowed by the IAM and resource-based policies.

NEW QUESTION # 508
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