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Amazon SAP-C02 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified Solutions Architect - Professional
Exam Number:	SAP-C02
Passing Score:	720/1000
Certificate Validity Period:	3 years
Exam Price:	$300 USD
Exam Format:	Multiple response, Multiple choice
Related Certifications:	AWS Certified SysOps Administrator - Associate AWS Certified Developer - Associate AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Duration:	180 minutes
Real Exam Qty:	75
Available Languages:	English, Korean, Japanese, Portuguese (Brazil), Simplified Chinese
Sample Questions:	Amazon SAP-C02 Sample Questions
Exam Way:	Proctored exam at Pearson VUE testing centers or online proctored (where available)
Pre Condition:	Recommended: AWS Certified Solutions Architect – Associate or equivalent experience. Minimum 2 years of hands-on experience designing and deploying scalable, highly available, and fault-tolerant systems on AWS.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-solutions-architect-professional/

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Achieving the Amazon SAP-C02 Certification can open up a wide range of career opportunities for IT professionals, including roles such as AWS solutions architect, cloud architect, and cloud consultant. AWS Certified Solutions Architect - Professional (SAP-C02) certification is recognized globally as a standard of excellence in AWS solution design and deployment, and demonstrates to employers and clients that the certified individual has the skills and expertise needed to design and deploy highly available and fault-tolerant systems on the AWS platform.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q577-Q582):

NEW QUESTION # 577
A company is designing its network configuration in the AWS Cloud. The company uses AWS Organizations to manage a multi-account setup. The company has three OUs. Each OU contains more than 100 AWS accounts. Each account has a single VPC, and all the VPCs in each OU are in the same AWS Region.
The CIDR ranges for all the AWS accounts do not overlap. The company needs to implement a solution in which VPCs in the same OU can communicate with each other but cannot communicatewith VPCs in other OUs.
Which solution will meet these requirements with the LEAST operational overhead?

A. In each OU, create a dedicated networking account that has a single VPC. Establish a VPN connection between the networking account and the other accounts in the OU. Use third-party routing software to route transitive traffic between the VPCs.
B. Create an AWS CloudFormation stack set that establishes VPC peering between accounts in each OU. Provision the stack set in each OU.
C. Provision a transit gateway in an account in each OU. Share the transit gateway across the organization by using AWS Resource Access Manager (AWS RAM). Create transit gateway VPC attachments for each VPC.
D. In each OU, create a dedicated networking account that has a single VPC. Share this VPC with all the other accounts in the OU by using AWS Resource Access Manager (AWS RAM). Create a VPC peering connection between the networking account and each account in the OU.

Answer: C

Explanation:
Comprehensive and Detailed in Depth
C is correct because AWS Transit Gateway is the most scalable and efficient way to interconnect hundreds of VPCs. By deploying one transit gateway per OU and sharing it with AWS RAM, each OU can isolate its network traffic and maintain internal communication without affecting or exposing other OUs.
Reference:
AWS Transit Gateway Best Practices
Using RAM with Transit Gateway

NEW QUESTION # 578
A company is serving files to its customers through an SFTP server that is accessible over the internet The SFTP server is running on a single Amazon EC2 instance with an Elastic IP address attached Customers connect to the SFTP server through its Elastic IP address and use SSH for authentication The EC2 instance also has an attached security group that allows access from all customer IP addresses.
A solutions architect must implement a solution to improve availability minimize the complexity of infrastructure management and minimize the disruption to customers who access files. The solution must not change the way customers connect Which solution will meet these requirements?

A. Disassociate the Elastic IP address from the EC2 instance Create an Amazon S3 bucket to be used for SFTP file hosting Create an AWS Transfer Family server. Configure the Transfer Family server with a publicly accessible endpoint Associate the SFTP Elastic IP address with the new endpoint. Point the Transfer Family server to the S3 bucket Sync all files from the SFTP server to the S3 bucket.
B. Disassociate the Elastic IP address from the EC2 instance. Create a new Amazon Elastic File System (Amazon EFS) file system to be used for SFTP file hosting. Create an AWS Fargate task definition to run an SFTP server Specify the EFS file system as a mount in the task definition Create a Fargate service by using the task definition, and place a Network Load Balancer (NLB) in front of the service.
When configuring the service, attach the security group with customer IP addresses to the tasks that run the SFTP server Associate the Elastic IP address with the NLB Sync all files from the SFTP server to the S3 bucket.
C. Disassociate the Elastic IP address from the EC2 instance Create an Amazon S3 bucket to be used for SFTP file hosting Create an AWS Transfer Family Server Configure the Transfer Family server with a VPC-hosted, internet-facing endpoint Associate the SFTP Elastic IP address with the new endpoint Attach the security group with customer IP addresses to the new endpoint Point the Transfer Family server to the S3 bucket. Sync all files from the SFTP server to the S3 bucket.
D. Disassociate the Elastic IP address from the EC2 instance. Create a multi-attach Amazon Elastic Block Store (Amazon EBS) volume to be used for SFTP file hosting. Create a Network Load Balancer (NLB) with the Elastic IP address attached. Create an Auto Scaling group with EC2 instances that run an SFTP server. Define in the Auto Scaling group that instances that are launched should attach the new multi-attach EBS volume Configure the Auto Scaling group to automatically add instances behind the NLB. configure the Auto Scaling group to use the security group that allows customer IP addresses for the EC2 instances that the Auto Scaling group launches Sync all files from the SFTP server to the new multi-attach EBS volume.

Answer: C

Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/aws-sftp-endpoint-type/

NEW QUESTION # 579
A healthcare company is building a user support chat-based assistant on Amazon Bedrock.
Users will ask health questions that might include personal details in the prompts.
A solutions architect must configure a solution that can do the following:
- Prevent the assistant from providing medical diagnosis advice.
- Redact personally identifiable information (PII) from both user
inputs and model responses.
- Enforce the same controls even if the company changes foundation
models (FMs) later.
- Evaluate risky user prompts before sending the prompts to a model to
avoid unnecessary inference costs.
Which solution will meet these requirements?

A. Store approved health support guidelines in an Amazon Bedrock knowledge base. Configure system prompts that instruct the model not to provide diagnosis advice. Use an AWS Lambda function after inference to remove PII from the model response before the response is returned to users.
B. Fine-tune an FM on approved support conversations. Add prompt templates that prohibit diagnosis advice. Run a separate review process that scans transcripts for prohibited topics and sensitive information after the conversations end.
C. Build a custom moderation layer in the application to inspect prompts for prohibited topics and to redact sensitive information from user inputs. Invoke the model through the Converse API. Use separate post-processing logic to redact sensitive information from responses before displaying responses to users.
D. Create an Amazon Bedrock guardrail. Configure denied topics for medical diagnosis advice.Configure sensitive information filters to mask PII. Configure content filters. Call the ApplyGuardrail API on user prompts before inference. Include the same guardrail in the Converse API to evaluate model responses.

Answer: D

Explanation:
Bedrock Guardrails can block medical-diagnosis topics and mask PII in both prompts and responses independently of the selected foundation model. Calling ApplyGuardrail before inference rejects risky prompts without incurring model inference costs, while attaching the same guardrail to the Converse request evaluates the generated response.

NEW QUESTION # 580
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. 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. Configure subscription verification. Require the data customers to subscribe to the data product.
B. 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 1AM resource-based policies to the Amazon Redshift tables to allow access only to verified AWS accounts.
C. 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.
D. 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 cluster. Configure subscription verification. Require the data customers to subscribe to the data product.

Answer: A

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 payment1.
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 stages2. 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 # 581
A company has an application that uses Amazon EC2 instances in an Auto Scaling group. The quality assurance (QA) department needs to launch a large number of short-lived environments to test the application. The application environments are currently launched by the manager of the department using an AWS CloudFormation template To launch the stack, the manager uses a role with permission to use CloudFormation EC2. and Auto Scaling APIs. The manager wants to allow testers to launch their own environments, but does not want to grant broad permissions to each user Which set up would achieve these goals?

A. Upload the AWS CloudFormation template to Amazon S3. Give users in the QA department permission to assume the manager's role and add a policy that restricts the permissions to the template and the resources it creates Train users to launch the template from the CloudFormation console
B. Create an AWS Elastic Beanstalk application from the environment template Give users in the QA department permission to use Elastic Beanstalk permissions only Train users to launch Elastic Beanstalk environments with the Elastic Beanstalk CLI, passing the existing role to the environment as a service role
C. Upload the AWS CloudFormation template to Amazon S3 Give users in the QA department permission to use CloudFormation and S3 APIs, with conditions that restrict the permissions to the template and the resources it creates Train users to launch the template from the CloudFormation console.
D. Create an AWS Service Catalog product from the environment template Add a launch constraint to the product with the existing role Give users in the QA department permission to use AWS Service Catalog APIs only_ Train users to launch the template from the AWS Service Catalog console.

Answer: D

NEW QUESTION # 582
......

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