2026 Professional SAP-C02: AWS Certified Solutions Architect - Professional (SAP-C02) Cost Effective Dumps

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The SAP-C02 Exam is designed to test candidates on a range of topics related to AWS architecture and design principles. This includes topics such as designing and deploying highly available, scalable, and fault-tolerant systems, selecting appropriate AWS services to meet specific requirements, and migrating complex, multi-tier applications to AWS. Candidates will also be tested on their ability to design and implement security controls, automate deployments, and optimize the performance of AWS services.

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Passing the SAP-C02 exam is a key step in becoming an AWS Certified Solutions Architect - Professional, a highly sought-after certification in the IT industry. AWS Certified Solutions Architect - Professional (SAP-C02) certification demonstrates that the candidate has the skills and knowledge to design and deploy complex systems on the AWS platform, and is recognized by organizations worldwide as a mark of excellence. AWS Certified Solutions Architect - Professional (SAP-C02) certification is also a prerequisite for other advanced AWS certifications, such as the AWS Certified DevOps Engineer - Professional and the AWS Certified Security - Specialty.

Amazon SAP-C02 Exam is a professional-level certification offered by Amazon Web Services (AWS) for individuals who want to prove their expertise in designing and deploying AWS-based solutions. AWS Certified Solutions Architect - Professional (SAP-C02) certification is designed to test your knowledge and skills in various areas related to AWS architecture, including security, scalability, reliability, and cost optimization.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q914-Q919):

NEW QUESTION # 914
A solutions architect needs to assess a newly acquired company's portfolio of applications and databases. The solutions architect must create a business case to migrate the portfolio to AWS.
The newly acquired company runs applications in an on-premises data center. The data center is not well documented. The solutions architect cannot immediately determine how many applications and databases exist. Traffic for the applications is variable. Some applications are batch processes that run at the end of each month.
The solutions architect must gain a better understanding of the portfolio before a migration to AWS can begin.
Which solution will meet these requirements?

A. Use AWS Control Tower in the destination account to generate an application portfolio. Use AWS Server Migration Service (AWS SMS) to generate deeper reports and a business case. Use a landing zone for core accounts and resources.
B. Use Migration Evaluator to generate a list of servers. Build a report for a business case. Use AWS Migration Hub to view the portfolio. Use AWS Application Discovery Service to gain an understanding of application dependencies.
C. Use AWS Server Migration Service (AWS SMS) and AWS Database Migration Service (AWS DMS) to evaluate migration. Use AWS Service Catalog to understand application and database dependencies.
D. Use AWS Application Migration Service. Run agents on the on-premises infrastructure. Manage the agents by using AWS Migration Hub. Use AWS Storage Gateway to assess local storage needs and database dependencies.

Answer: B

Explanation:
https://aws.amazon.com/migration-evaluator/

NEW QUESTION # 915
A company uses AWS Organizations to manage more than 1,000 AWS accounts. The company has created a new developer organization. There are 540 developer member accounts that must be moved to the new developer organization. All accounts are set up with all the required information so that each account can be operated as a standalone account.
Which combination of steps should a solutions architect take to move all of the developer accounts to the new developer organization? (Choose three.)

A. From each developer account, remove the account from the old organization using the RemoveAccountFromOrganization operation In the Organization API.
B. Have each developer sign in to their account and confirm to join the new developer organization.
C. From the master account, remove each developer account from the old organization us ng the RemoveAccountFromOrganization operation in the Organizations API
D. Call the InviteAccountToOrganization operation in the Organizations API from the new developer organization's master account to send invitations to the developer accounts.
E. Sign in to the new developer organization's master account and create a placeholder member account that acts as a target for the developer account migration.
F. Call the MoveAccount operation in the Organizations API from the old organization's master account to migrate the developer accounts to the new developer organization

Answer: B,C,D

Explanation:
This operation can be called only from the organization's management account. Member accounts can remove themselves with LeaveOrganization instead.
https://docs.aws.amazon.com/organizations/latest/APIReference/API_RemoveAccountFromOrga nization.html

NEW QUESTION # 916
A company runs an application on AWS. The company curates data from several different sources. The company uses proprietary algorithms to perform data transformations and aggregations. After the company performs E TL processes, the company stores the results in Amazon Redshift tables. The company sells this data to other companies. The company downloads the data as files from the Amazon Redshift tables and transmits the files to several data customers by using FTP. The number of data customers has grown significantly. Management of the data customers has become difficult.
The company will use AWS Data Exchange to create a data product that the company can use to share data with customers. The company wants to confirm the identities of the customers before the company shares data.
The customers also need access to the most recent data when the company publishes the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS Data Exchange for APIs to share data with customers. Configure subscription verification In the AWS account of the company that produces the data, create an Amazon API Gateway Data API service integration with Amazon Redshift. Require the data customers to subscribe to the data product In the AWS account of the company that produces the data, create an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift
B. Download the data from the Amazon Redshift tables to an Amazon S3 bucket periodically. Use AWS Data Exchange for S3 to share data with customers.
C. cluster. Configure subscription verification. Require the data customers to subscribe to the data product.
D. Configure subscription verification. Require the data customers to subscribe to the data product Publish the Amazon Redshift data to an Open Data on AWS Data Exchange. Require the customers to subscribe to the data product in AWS Data Exchange. In the AWS account of the company that produces the data, attach IAM resource-based policies to the Amazon Redshift tables to allow access only to verified AWS accounts.

Answer: B

Explanation:
Explanation
The company should download the data from the Amazon Redshift tables to an Amazon S3 bucket periodically and use AWS Data Exchange for S3 to share data with customers. The company should configure subscription verification and require the data customers to subscribe to the data product. This solution will meet the requirements with the least operational overhead because AWS Data Exchange for S3 is a feature that enables data subscribers to access third-party data files directly from data providers' Amazon S3 buckets.
Subscribers can easily use these files for their data analysis with AWS services without needing to create or manage data copies. Data providers can easily set up AWS Data Exchange for S3 on top of their existing S3 buckets to share direct access to an entire S3 bucket or specific prefixes and S3 objects. AWS Data Exchange automatically manages subscriptions, entitlements, billing, and payment The other options are not correct because:
Using AWS Data Exchange for APIs to share data with customers would not work because AWS Data Exchange for APIs is a feature that enables data subscribers to access third-party APIs directly from data providers' AWS accounts. Subscribers can easily use these APIs for their data analysis with AWS services without needing to manage API keys or tokens. Data providers can easily set up AWS Data Exchange for APIs on top of their existing API Gateway resources to share direct access to an entire API or specific routes and stages . However, this feature is not suitable for sharing data from Amazon Redshift tables, which are not exposed as APIs.
Creating an Amazon API Gateway Data API service integration with Amazon Redshift would not work because 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 client3. It is useful for building applications that interact with Amazon Redshift, but not for sharing data files with customers.
Creating an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift cluster would not work because AWS Data Exchange does not support datashares for Amazon Redshift clusters. 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 data4.
It is useful for sharing query results and views with other users, but not for sharing data files with customers.
Publishing the Amazon Redshift data to an Open Data on AWS Data Exchange would not work because Open Data on AWS Data Exchange is a feature that enables you to find and use free and public datasets from AWS customers and partners. It is useful for accessing open and free data, but not for confirming the identities of the customers or charging them for the data.
References:
https://aws.amazon.com/data-exchange/why-aws-data-exchange/s3/
https://aws.amazon.com/data-exchange/why-aws-data-exchange/api/
https://docs.aws.amazon.com/redshift/latest/mgmt/data-api.html
https://docs.aws.amazon.com/redshift/latest/dg/datashare-overview.html
https://aws.amazon.com/data-exchange/open-data/

NEW QUESTION # 917
A company runs an application on AWS. An AWS Lambda function uses credentials to authenticate to an Amazon RDS tor MySQL DB instance. A security risk assessment identified that these credentials are not frequently rotated. Also, encryption at rest is not enabled for the DB instance. The security team requires that both of these issues be resolved.
Which strategy should a solutions architect recommend to remediate these security risks?

A. Enable IAM DB authentication on the DB instance.
Grant the Lambda execution role access to the DB instance.
Modify the DB instance and enable encryption.
B. Enable IAM DB authentication on the DB instance.
Grant the Lambda execution role access to the DB instance.
Create an encrypted read replica of the DB instance.
Promote the encrypted read replica to be the new primary node.
C. Configure the Lambda function to store and retrieve the database credentials as encrypted AWS Systems Manager Parameter Store parameters.
Create another Lambda function to automatically rotate the credentials.
Create an encrypted read replica of the DB instance.
Promote the encrypted read replica to be the new primary node.
D. Configure the Lambda function to store and retrieve the database credentials in AWS Secrets Manager and enable rotation of the credentials.
Take a snapshot ol the DB instance and encrypt a copy of that snapshot.
Replace the DB instance with a new DB instance that is based on the encrypted snapshot.

Answer: D

Explanation:
Parameter store can store DB credentials as secure string but CANNOT rotate secrets, hence, go with A + Cannot enable encryption on existing MySQL RDS instance, must create a new encrypted one from unencrypted snapshot.
https://docs.aws.amazon.com/secretsmanager/latest/userguide/rotating-secrets.html

NEW QUESTION # 918
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 ol 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. 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.
B. Update the Auto Scaling group to use the AZ2 subnet only. Delete and re-create the AZ1 subnet using hall the previous address space. Adjust the Auto Seating 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.
C. 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 halt the original AZ2 subnet address space, 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: B

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/vpc-ip-address-range/?nc1=h_ls It's not possible to modify the IP address range of an existing virtual private cloud (VPC) or subnet.
You must delete the VPC or subnet, and then create a new VPC or subnet with your preferred CIDR block.

NEW QUESTION # 919
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