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Amazon SAP-C02 Exam Overview:

Certification Vendor:	Amazon AWS
Exam Name:	AWS Certified Solutions Architect - Professional
Exam Number:	SAP-C02
Real Exam Qty:	75 (65 scored, 10 unscored)
Exam Duration:	180 minutes
Available Languages:	Spanish (Latin America), English, Japanese, Korean, Portuguese (Brazil), Simplified Chinese
Certificate Validity Period:	3 years
Passing Score:	750 (scaled score 100–1000)
Related Certifications:	AWS Certified DevOps Engineer - Professional AWS Certified Security - Specialty AWS Certified Solutions Architect - Associate
Exam Format:	Scenario-based questions, Multiple choice, Multiple response
Exam Price:	300 USD
Recommended Training:	AWS Training and Certification AWS Official Exam Guide
Exam Registration:	AWS Official Registration Pearson VUE
Sample Questions:	Amazon SAP-C02 Sample Questions
Exam Way:	Online proctored or onsite testing at authorized centers (Pearson VUE, PSI)
Pre Condition:	No mandatory prerequisites; recommended: 2+ years of hands-on experience designing and implementing cloud solutions on AWS, AWS Certified Solutions Architect - Associate certification
Official Syllabus URL:	https://docs.aws.amazon.com/aws-certification/latest/examguides/solutions-architect-professional-02.html

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Earning the AWS Certified Solutions Architect – Professional certification demonstrates that an individual has the skills and expertise required to design and deploy scalable, fault-tolerant, and highly available systems on AWS. AWS Certified Solutions Architect - Professional (SAP-C02) certification is highly valued in the industry and can lead to better job opportunities and higher salaries.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q51-Q56):

NEW QUESTION # 51
A solutions architect has an operational workload deployed on Amazon EC2 instances in an Auto Scaling group. The VPC architecture spans two Availability Zones (AZ) with a subnet in each that the Auto Scaling group is targeting. The VPC is connected to an on-premises environment and connectivity cannot be interrupted. The maximum size of the Auto Scaling group is 20 instances in service. The VPC IPv4 addressing is as follows:
VPC CIDR: 10.0.0.0/23
AZ1 subnet CIDR: 10.0.0.0/24
AZ2 subnet CIDR: 10.0.1.0/24
Since deployment, a third AZ has become available in the Region. The solutions architect wants to adopt the new AZ without adding additional IPv4 address space and without service downtime.
Which solution will meet these requirements?

A. Update the Auto Scaling group to use the AZ2 subnet only. Delete and re-create the AZ1 subnet using half the previous address space. Adjust the Auto Scaling group to also use the new AZ1 subnet. When the instances are healthy, adjust the Auto Scaling group to use the AZ1 subnet only. Remove the current AZ2 subnet. Create a new AZ2 subnet using the second half of the address space from the original AZ1 subnet. Create a new AZ3 subnet using half the original AZ2 subnet address space, then update the Auto Scaling group to target all three new subnets.
B. Update the Auto Scaling group to use the AZ2 subnet only. Update the AZ1 subnet to have half the previous address space. Adjust the Auto Scaling group to also use the AZ1 subnet again.
When the instances are healthy, adjust the Auto Scaling group to use the AZ1 subnet only.
Update the current AZ2 subnet and assign the second half of the address space from the original AZ1 subnet. Create a new AZ3 subnet using half the original AZ2 subnet address space, then update the Auto Scaling group to target all three new subnets.
C. Terminate the EC2 instances in the AZ1 subnet. Delete and re-create the AZ1 subnet using half the address space. Update the Auto Scaling group to use this new subnet. Repeat this for the second AZ. Define a new subnet in AZ3, then update the Auto Scaling group to target all three new subnets.
D. Create a new VPC with the same IPv4 address space and define three subnets, with one for each AZ. Update the existing Auto Scaling group to target the new subnets in the new VPC.

Answer: A

NEW QUESTION # 52
A company needs to migrate a 2 TB MySQL database from an on-premises data center to an Amazon Aurora cluster. The database receives hundreds of updates every minute. The on-premises database server is not accessible through the internet.
The migration solution must ensure that no data is lost between the start of migration and cutover. The migration must begin as soon as possible and must minimize downtime.
Which solution will meet these requirements?

A. Create an AWS Site-to-Site VPN connection between the on-premises data center and the VPC that hosts the Aurora cluster. Specify the on-premises database as the source endpoint in AWS DMS.
Specify the Aurora duster as the target endpoint. Configure a DMS task with ongoing replication.
B. Create an AWS Site-to-Site VPN connection between the on-premises data center and the VPC that hosts the Aurora duster. Create a dump of the on-premises database by using mysqldump. Upload the dump to Amazon S3 by using multipart upload. Use an Amazon EC2 instance with appropriate permissions to import the dump to the Aurora cluster.
C. Set up an AWS Direct Connect connection between the on-premises data center and the VPC that hosts the Aurora duster. Create a dump of the on-premises database by using mysqldump. Upload the dump to Amazon S3 by using multipart upload. Use an Amazon EC2 instance with appropriate permissions to import the dump to the Aurora cluster. Set up replication between the data center and the Aurora cluster.
D. Set up an AWS Direct Connect connection between the on-premises data center and the VPC that hosts the Aurora cluster. Specify the on-premises database as the source endpoint in AWS DMS. Specify the Aurora duster as the target endpoint Configure a DMS task with ongoing replication.

Answer: A

NEW QUESTION # 53
A large company recently experienced an unexpected increase in Amazon RDS and Amazon DynamoDB costs. The company needs to increase visibility into details of AWS Billing and Cost Management There are various accounts associated with AWS Organizations, including many development and production accounts There is no consistent tagging strategy across the organization, but there are guidelines in place that require all infrastructure to be deployed using AWS CloudFormation with consistent tagging. Management requires cost center numbers and project ID numbers for all existing and future DynamoDB tables and RDS instances.
Which strategy should the solutions architect provide to meet these requirements?

A. Use Tag Editor to tag existing resources Create cost allocation tags to define the cost center and project ID Use SCPs to restrict resource creation that do not have the cost center and project ID on the resource.
B. Create cost allocation tags to define the cost center and project ID and allow 24 hours for tags to propagate to existing resources Update existing federated roles to restrict privileges to provision resources that do not include the cost center and project ID on the resource.
C. Use an AWS Config rule to alert the finance team of untagged resources Create a centralized AWS Lambda based solution to tag untagged RDS databases and DynamoDB resources every hour using a cross-account role.
D. Use Tag Editor to tag existing resources Create cost allocation tags to define the cost center and project ID and allow 24 hours for tags to propagate to existing resources.

Answer: A

Explanation:
Explanation
Using Tag Editor to remediate untagged resources is a Best Practice (Page 14 or AWS Tagging Best Practices WhitePaper). However, that is were answer A stops. It doesn't address the requirement of "Management requires cost center numbers and project ID number for all existing and future DynamoDB tables and RDS instances". That is where Answer C comes in and addresses that requirement with SCPs in the company's AWS Organization. AWS Tagging Best Practices -
https://d1.awsstatic.com/whitepapers/aws-tagging-best-practices.pdf

NEW QUESTION # 54
A company needs to gather data from an experiment in a remote location that does not have internet connectivity. During the experiment, sensors that are connected to a total network will generate 6 TB of data in a preprimary formal over the course of 1 week. The sensors can be configured to upload their data files to an FTP server periodically, but the sensors do not have their own FTP server. The sensors also do not support other protocols. The company needs to collect the data centrally and move lie data to object storage in the AWS Cloud as soon. as possible after the experiment.
Which solution will meet these requirements?

A. Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Install and configure an FTP server on the EC2 instance. Configure the sensors to upload data to the EC2 instance. After the experiment, return the device to AWS so that the data can be loaded into Amazon S3.
B. Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Create a shell script that periodically downloads data from each sensor. After the experiment, return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store [Amazon EBS) volume.
C. Order an AWS Snowcone device. Connect the device to the local network. Configure the device to use Amazon FSx. Configure the sensors to upload data to the device. Configure AWS DataSync on the device to synchronize the uploaded data with an Amazon S3 bucket Return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store (Amazon EBS) volume.
D. Order an AWS Snowball Edge Compute Optimized device. Connect the device to the local network. Configure AWS DataSync with a target bucket name, and unload the data over NFS to the device. After the experiment return the device to AWS so that the data can be loaded into Amazon S3.

Answer: A

Explanation:
For collecting data from remote sensors without internet connectivity, using an AWS Snowcone device with an Amazon EC2 instance running an FTP server presents a practical solution. This setup allows the sensors to upload data to the EC2 instance via FTP, and after the experiment, the Snowcone device can be returned to AWS for data ingestion into Amazon S3. This approach minimizes operational complexity and ensures efficient data transfer to AWS for further processing or storage.
AWS Documentation on AWS Snowcone and Amazon EC2 provides detailed guidance on deploying compute and storage capabilities in edge locations. This solutionleverages AWS's edge computing devices to address challenges associated with data collection in remote or disconnected environments.

NEW QUESTION # 55
A company wants to retire its Oracle Solaris NFS storage arrays. The company requires rapid data migration over its internet network connection to a combination of destinations for Amazon S3. Amazon Elastic File System (Amazon EFS), and Amazon FSx lor Windows File Server. The company also requires a full initial copy, as well as incremental transfers of changes until the retirement of the storage arrays. All data must be encrypted and checked for integrity.
What should a solutions architect recommend to meet these requirements?

A. Configure CloudEndure. Create a project and deploy the CloudEndure agent and token to the storage array. Run the migration plan to start the transfer.
B. Configure AWS DataSync. Configure the DataSync agent and deploy it to the local network. Create a transfer task and start the transfer.
C. Configure the aws S3 sync command. Configure the AWS client on the client side with credentials. Run the sync command to start the transfer.
D. Configure AWS Transfer (or FTP. Configure the FTP client with credentials. Script the client to connect and sync to start the transfer.

Answer: B

NEW QUESTION # 56
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