Amazon
Avaya
Cisco
CompTIA
CrowdStrike
EC-Council
EXIN
Fortinet
Google
ISC
ISC2
ITIL
Juniper
Microsoft
NVIDIA
Okta
Palo Alto Networks
Salesforce
All Vendors
  1. Home
  2. Amazon
  3. SAP-C02

Amazon SAP-C02 Exam (page: 7)
Amazon AWS Certified Solutions Architect - Professional SAP-C02
Updated on: 09-Feb-2026

Viewing Page 7 of 68
SAP-C02 PDF 533 Questions

A company wants to migrate its data analytics environment from on premises to AWS. The environment consists of two simple Node.js applications. One of the applications collects sensor data and loads it into a MySQL database. The other application aggregates the data into reports. When the aggregation jobs run, some of the load jobs fail to run correctly.

The company must resolve the data loading issue. The company also needs the migration to occur without interruptions or changes for the company’s customers.

What should a solutions architect do to meet these requirements?

  1. Set up an Amazon Aurora MySQL database as a replication target for the on-premises database. Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica. Set up collection endpoints as AWS Lambda functions behind a Network Load Balancer (NLB), and use Amazon RDS Proxy to write to the Aurora MySQL database. When the databases are synced, disable the replication job and restart the Aurora Replica as the primary instance. Point the collector DNS record to the NLB.
  2. Set up an Amazon Aurora MySQL database. Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora. Move the aggregation jobs to run against the Aurora MySQL database. Set up collection endpoints behind an Application Load Balancer (ALB) as Amazon EC2 instances in an Auto Scaling group. When the databases are synced, point the collector DNS record to the AL Disable the AWS DMS sync task after the cutover from on premises to AWS.
  3. Set up an Amazon Aurora MySQL database. Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora. Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica. Set up collection endpoints as AWS Lambda functions behind an Application Load Balancer (ALB), and use Amazon RDS Proxy to write to the Aurora MySQL database. When the databases are synced, point the collector DNS record to the ALB. Disable the AWS DMS sync task after the cutover from on premises to AWS.
  4. Set up an Amazon Aurora MySQL database. Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica. Set up collection endpoints as an Amazon Kinesis data stream. Use Amazon Kinesis Data Firehose to replicate the data to the Aurora MySQL database. When the databases are synced, disable the replication job and restart the Aurora Replica as the primary instance. Point the collector DNS record to the Kinesis data stream.

Answer(s): C

Explanation:

C) Set up an Amazon Aurora MySQL database. Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora. Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica. Set up collection endpoints as AWS Lambda functions behind an Application Load Balancer (ALB), and use Amazon RDS Proxy to write to the Aurora MySQL database. When the databases are synced, point the collector DNS record to the ALB. Disable the AWS DMS sync task after the cutover from on premises to AWS is the correct answer.

This solution leverages AWS DMS for seamless, continuous replication from the on-premises MySQL database to Amazon Aurora, ensuring minimal downtime during the migration. Using Aurora Replica for the aggregation jobs offloads the read traffic, improving performance and reducing load on the primary database. By setting up AWS Lambda functions for data collection and Amazon RDS Proxy for connection management, the solution provides scalability and handles the load jobs efficiently. The use of ALB for the Lambda endpoints allows smooth handling of traffic, ensuring no interruptions for customers during the migration.



A health insurance company stores personally identifiable information (PII) in an Amazon S3 bucket. The company uses server-side encryption with S3 managed encryption keys (SSE-S3) to encrypt the objects. According to a new requirement, all current and future objects in the S3 bucket must be encrypted by keys that the company’s security team manages. The S3 bucket does not have versioning enabled.

Which solution will meet these requirements?

  1. In the S3 bucket properties, change the default encryption to SSE-S3 with a customer managed key. Use the AWS CLI to re-upload all objects in the S3 bucket. Set an S3 bucket policy to deny unencrypted PutObject requests.
  2. In the S3 bucket properties, change the default encryption to server-side encryption with AWS KMS managed encryption keys (SSE-KMS). Set an S3 bucket policy to deny unencrypted PutObject requests. Use the AWS CLI to re-upload all objects in the S3 bucket.
  3. In the S3 bucket properties, change the default encryption to server-side encryption with AWS KMS managed encryption keys (SSE-KMS). Set an S3 bucket policy to automatically encrypt objects on GetObject and PutObject requests.
  4. In the S3 bucket properties, change the default encryption to AES-256 with a customer managed key. Attach a policy to deny unencrypted PutObject requests to any entities that access the S3 bucket. Use the AWS CLI to re-upload all objects in the S3 bucket.

Answer(s): B

Explanation:

B) In the S3 bucket properties, change the default encryption to server-side encryption with AWS KMS managed encryption keys (SSE-KMS). Set an S3 bucket policy to deny unencrypted PutObject requests. Use the AWS CLI to re-upload all objects in the S3 bucket is the correct answer.

The requirement is to ensure that all current and future objects in the S3 bucket are encrypted with customer-managed keys, which means using AWS KMS managed encryption keys (SSE-KMS) instead of the default SSE-S3 encryption.

To meet this requirement:

You need to change the default encryption setting to SSE-KMS.
You must deny any unencrypted PutObject requests to ensure compliance for future uploads.
Because the bucket does not have versioning enabled, you need to re-upload the existing objects to apply the new encryption (SSE-KMS).
This solution ensures compliance with the new encryption requirements while properly encrypting both existing and future objects with KMS-managed keys.



A company is running a web application in the AWS Cloud. The application consists of dynamic content that is created on a set of Amazon EC2 instances. The EC2 instances run in an Auto Scaling group that is configured as a target group for an Application Load Balancer (ALB).

The company is using an Amazon CloudFront distribution to distribute the application globally. The CloudFront distribution uses the ALB as an origin. The company uses Amazon Route 53 for DNS and has created an A record of www.example.com for the CloudFront distribution.

A solutions architect must configure the application so that itis highly available and fault tolerant.
Which solution meets these requirements?

  1. Provision a full, secondary application deployment in a different AWS Region. Update the Route 53 A record to be a failover record. Add both of the CloudFront distributions as values. Create Route 53 health checks.
  2. Provision an ALB, an Auto Scaling group, and EC2 instances in a different AWS Region. Update the CloudFront distribution, and create a second origin for the new AL Create an origin group for the two origins. Configure one origin as primary and one origin as secondary.
  3. Provision an Auto Scaling group and EC2 instances in a different AWS Region. Create a second target for the new Auto Scaling group in the ALB. Set up the failover routing algorithm on the ALB.
  4. Provision a full, secondary application deployment in a different AWS Region. Create a second CloudFront distribution, and add the new application setup as an origin. Create an AWS Global Accelerator accelerator. Add both of the CloudFront distributions as endpoints.

Answer(s): B

Explanation:

B) Provision an ALB, an Auto Scaling group, and EC2 instances in a different AWS Region. Update the CloudFront distribution, and create a second origin for the new ALB. Create an origin group for the two origins. Configure one origin as primary and one origin as secondary is the correct solution.

This setup ensures high availability and fault tolerance by creating a secondary application deployment in a different AWS Region. By adding a second ALB and Auto Scaling group in the new Region and configuring the CloudFront distribution with an origin group, you can set up failover between the two origins. This way, if the primary origin fails, CloudFront automatically switches to the secondary origin, providing seamless failover and reducing downtime.

This approach leverages CloudFront's built-in support for origin failover and ensures the application remains globally available with minimal latency and high fault tolerance.



A company has an organization in AWS Organizations that has a large number of AWS accounts. One of the AWS accounts is designated as a transit account and has a transit gateway that is shared with all of the other AWS accounts. AWS Site-to-Site VPN connections are configured between all of the company’s global offices and the transit account. The company has AWS Config enabled on all of its accounts.

The company’s networking team needs to centrally manage a list of internal IP address ranges that belong to the global offices. Developers will reference this list to gain access to their applications securely.

Which solution meets these requirements with the LEAST amount of operational overhead?

  1. Create a JSON file that is hosted in Amazon S3 and that lists all of the internal IP address ranges. Configure an Amazon Simple Notification Service (Amazon SNS) topic in each of the accounts that can be invoked when the JSON file is updated. Subscribe an AWS Lambda function to the SNS topic to update all relevant security group rules with the updated IP address ranges.
  2. Create a new AWS Config managed rule that contains all of the internal IP address ranges. Use the rule to check the security groups in each of the accounts to ensure compliance with the list of IP address ranges. Configure the rule to automatically remediate any noncompliant security group that is detected.
  3. In the transit account, create a VPC prefix list with all of the internal IP address ranges. Use AWS Resource Access Manager to share the prefix list with all of the other accounts. Use the shared prefix list to configure security group rules in the other accounts.
  4. In the transit account, create a security group with all of the internal IP address ranges. Configure the security groups in the other accounts to reference the transit account’s security group by using a nested security group reference of “<transit-account-id>/sg-1a2b3c4d”.

Answer(s): C

Explanation:

C) In the transit account, create a VPC prefix list with all of the internal IP address ranges. Use AWS Resource Access Manager to share the prefix list with all of the other accounts. Use the shared prefix list to configure security group rules in the other accounts is the correct answer.

This solution leverages VPC prefix lists, which provide an efficient way to centrally manage and reference a list of internal IP address ranges. By using AWS Resource Access Manager (RAM) to share the prefix list with all accounts in the organization, this method minimizes operational overhead while ensuring that all accounts have consistent access to the updated list of internal IP addresses. This solution is highly scalable and avoids the complexity of maintaining individual IP ranges in each account’s security groups.

This approach ensures that developers can securely access their applications by referencing the shared prefix list in their security group rules across multiple AWS accounts, streamlining management and reducing the chance of misconfigurations.



A company runs a new application as a static website in Amazon S3. The company has deployed the application to a production AWS account and uses Amazon CloudFront to deliver the website. The website calls an Amazon API Gateway REST API. An AWS Lambda function backs each API method.

The company wants to create a CSV report every 2 weeks to show each API Lambda function’s recommended configured memory, recommended cost, and the price difference between current configurations and the recommendations. The company will store the reports in an S3 bucket.

Which solution will meet these requirements with the LEAST development time?

  1. Create a Lambda function that extracts metrics data for each API Lambda function from Amazon CloudWatch Logs for the 2-week period. Collate the data into tabular format. Store the data as a .csv file in an S3 bucket. Create an Amazon EventBridge rule to schedule the Lambda function to run every 2 weeks.
  2. Opt in to AWS Compute Optimizer. Create a Lambda function that calls the ExportLambdaFunctionRecommendations operation. Export the .csv file to an S3 bucket. Create an Amazon EventBridge rule to schedule the Lambda function to run every 2 weeks.
  3. Opt in to AWS Compute Optimizer. Set up enhanced infrastructure metrics. Within the Compute Optimizer console, schedule a job to export the Lambda recommendations to a .csv file. Store the file in an S3 bucket every 2 weeks.
  4. Purchase the AWS Business Support plan for the production account. Opt in to AWS Compute Optimizer for AWS Trusted Advisor checks. In the Trusted Advisor console, schedule a job to export the cost optimization checks to a .csv file. Store the file in an S3 bucket every 2 weeks.

Answer(s): B

Explanation:

B) Opt in to AWS Compute Optimizer. Create a Lambda function that calls the ExportLambdaFunctionRecommendations operation. Export the .csv file to an S3 bucket. Create an Amazon EventBridge rule to schedule the Lambda function to run every 2 weeks is the correct solution.

AWS Compute Optimizer provides recommendations for optimizing the memory and performance of Lambda functions, including cost estimates. By using the ExportLambdaFunctionRecommendations operation, you can easily extract recommendations into a .csv file and store it in an S3 bucket. The solution involves minimal development effort because Compute Optimizer automatically provides the required data, and scheduling the Lambda function with Amazon EventBridge ensures the task runs every two weeks without manual intervention.

This solution meets the requirements for creating a report with recommended configurations and cost differences while minimizing development time.



A company’s factory and automation applications are running in a single VPC. More than 20 applications run on a combination of Amazon EC2, Amazon Elastic Container Service (Amazon ECS), and Amazon RDS.

The company has software engineers spread across three teams. One of the three teams owns each application, and each time is responsible for the cost and performance of all of its applications. Team resources have tags that represent their application and team. The teams use IAM access for daily activities.

The company needs to determine which costs on the monthly AWS bill are attributable to each application or team. The company also must be able to create reports to compare costs from the last 12 months and to help forecast costs for the next 12 months. A solutions architect must recommend an AWS Billing and Cost Management solution that provides these cost reports.

Which combination of actions will meet these requirements? (Choose three.)

  1. Activate the user-define cost allocation tags that represent the application and the team.
  2. Activate the AWS generated cost allocation tags that represent the application and the team.
  3. Create a cost category for each application in Billing and Cost Management.
  4. Activate IAM access to Billing and Cost Management.
  5. Create a cost budget.
  6. Enable Cost Explorer.

Answer(s): A,C,F

Explanation:

The correct answers are:

A) Activate the user-defined cost allocation tags that represent the application and the team: Activating user-defined cost allocation tags allows you to track costs based on specific tags associated with your resources, such as the application and team tags. This helps in attributing costs to the appropriate teams and applications.

C) Create a cost category for each application in Billing and Cost Management: Creating cost categories allows you to group your AWS costs by specific criteria (such as applications or teams) for better analysis and reporting. This is crucial for organizing and tracking costs across the teams.

F) Enable Cost Explorer: Cost Explorer helps visualize and analyze costs, providing historical data and forecasts for the next 12 months. It can generate detailed reports based on activated tags and cost categories, allowing the company to track costs and make informed budgeting decisions.

These actions allow the company to track costs by team and application, analyze trends over time, and create forecasts based on historical data.



An AWS customer has a web application that runs on premises. The web application fetches data from a third-party API that is behind a firewall. The third party accepts only one public CIDR block in each client’s allow list.

The customer wants to migrate their web application to the AWS Cloud. The application will be hosted on a set of Amazon EC2 instances behind an Application Load Balancer (ALB) in a VPC. The ALB is located in public subnets. The EC2 instances are located in private subnets. NAT gateways provide internet access to the private subnets.

How should a solutions architect ensure that the web application can continue to call the third-party API after the migration?

  1. Associate a block of customer-owned public IP addresses to the VPC. Enable public IP addressing for public subnets in the VPC.
  2. Register a block of customer-owned public IP addresses in the AWS account. Create Elastic IP addresses from the address block and assign them to the NAT gateways in the VPC.
  3. Create Elastic IP addresses from the block of customer-owned IP addresses. Assign the static Elastic IP addresses to the ALB.
  4. Register a block of customer-owned public IP addresses in the AWS account. Set up AWS Global Accelerator to use Elastic IP addresses from the address block. Set the ALB as the accelerator endpoint.

Answer(s): B

Explanation:

B) Register a block of customer-owned public IP addresses in the AWS account. Create Elastic IP addresses from the address block and assign them to the NAT gateways in the VPC is the correct answer.

By registering customer-owned public IP addresses with AWS, you ensure that the third-party API sees traffic originating from a trusted IP range that the third party has already whitelisted. Assigning Elastic IP addresses from this block to the NAT gateways ensures that all traffic from the EC2 instances in the private subnets (which go through the NAT gateway for external access) will use the customer-owned IP addresses. This setup allows the web application to continue calling the third-party API as it did when running on-premises.

This solution ensures that the migration to AWS does not break the integration with the third-party API while maintaining security and compliance with the API's firewall rules.



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?

  1. Add s3:CreateBucket with “Allow” effect to the SCP.
  2. Remove the account from the OU, and attach the SCP directly to account 1111-1111-1111.
  3. Instruct the developers to add Amazon S3 permissions to their IAM entities.
  4. Remove the SCP from account 1111-1111-1111.

Answer(s): C

Explanation:

C) Instruct the developers to add Amazon S3 permissions to their IAM entities is the correct answer.

An SCP (Service Control Policy) defines what services and actions can be used within an AWS account, but it does not grant permissions on its own. It acts as a boundary. In this case, the SCP does not explicitly deny the ability to create Amazon S3 buckets, so the issue is that the developers' IAM roles or users are not assigned the appropriate permissions to create S3 buckets.

To resolve this, the developers need to have the necessary S3 permissions (e.g., s3:CreateBucket) in their IAM roles or policies. Once the appropriate permissions are added, they will be able to create S3 buckets, as the SCP does not restrict that action.



Viewing Page 7 of 68



Share your comments for Amazon SAP-C02 exam with other users:

Andrew 8/23/2023 6:02:00 PM

very helpful
Anonymous


Mukesh 7/10/2023 4:14:00 PM

good questions
UNITED KINGDOM