SAP-C02 Exam Dumps - Amazon Web Services AWS Certified Professional Questions and Answers

Question # 79

A company established a data-sharing agreement with a supplier. A solutions architect must establish bidirectional access to Amazon S3 buckets for the company’s organization in AWS Organizations and the supplier’s organization. The company’s S3 buckets are in the us-east-1 Region. The supplier’s buckets are in the us-west-1 Region. The company must encrypt data at rest and collect logs of all S3 bucket access.

Which solution will meet these requirements?

Options:

Create S3 Access Grants that have specific permissions in the source accounts. Use AWS Resource Access Manager (AWS RAM) to share the access grants with both organizations. Use server-side encryption with AWS KMS keys (SSE-KMS) to encrypt the data. Grant the target accounts access to the KMS keys. Configure AWS CloudTrail to log S3 data events.

Set up VPC peering connections between the VPCs of the two organizations. Use AWS PrivateLink to implement S3 interface endpoints. Configure IAM policies in each organization to control endpoint access. Use Amazon S3 server-side encryption with Amazon S3 managed keys (SSE-S3) to encrypt the data. Enable VPC Flow Logs.

Create S3 Access Points for both organizations, and use AWS Resource Access Manager (AWS RAM) to share the access points. Attach IAM policies that grant cross-organization access to the access points. Use customer managed AWS KMS keys to encrypt the data. Enable AWS CloudTrail in both Regions.

Configure S3 Cross-Region Replication. Create an SCP to allow S3:GetObject and S3:PutObject actions. Share the SCP between both organizations. Use Amazon S3 server-side encryption with Amazon S3 managed keys (SSE-S3) to encrypt the data. Implement S3 server access logging.

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Answer:

Explanation:

Comprehensive and Detailed Explanation:

Why C is the best answer

This question requires all of the following:

Bidirectional access between two separate AWS Organizations

Access to S3 buckets across accounts and organizational boundaries

Encryption at rest

Logging of all S3 bucket access

Buckets exist in different Regions

Option C is the best match because S3 Access Points are purpose-built to simplify and scale access management for shared S3 datasets. For cross-account or multi-team sharing scenarios, S3 Access Points let you define dedicated access paths and policies instead of overloading a single bucket policy. For encryption at rest, customer managed AWS KMS keys are the strongest fit when cross-account access must be explicitly controlled. For logging bucket-level object access, AWS CloudTrail is the correct service because S3 data events record object-level API activity such as GetObject and PutObject.

Why the other options are not correct

A. S3 Access Grants is not the best fit here

S3 Access Grants is designed primarily to grant S3 access to identities mapped from identity sources and simplify data access at scale. It is not the standard primary design choice for bidirectional bucket sharing between two separate organizations. The exam-focused architectural pattern for controlled cross-account S3 sharing is S3 Access Points plus policies, combined with KMS permissions and CloudTrail data events. Even though SSE-KMS and CloudTrail data events are good parts of the design, the access mechanism in A is not the best answer.

B. VPC networking services do not solve the main requirement

VPC peering, PrivateLink, and endpoint access controls are network connectivity controls. Amazon S3 is not shared between organizations by building VPC peering between their VPCs. Also, VPC Flow Logs record network flow metadata, not S3 object access. That means B fails the logging requirement and uses the wrong control plane for the access-sharing requirement.

D. Replication and SCPs do not provide bidirectional shared access

S3 Cross-Region Replication copies objects; it does not establish bidirectional shared access for both organizations to each other’s buckets. Service Control Policies also do not work the way this option describes. SCPs are guardrails within an AWS Organization; they are not shared between separate organizations to grant object access. In addition, S3 server access logging is not the best answer when the requirement is to collect logs of all S3 bucket access in an auditable way for object-level API actions. CloudTrail data events are the stronger and more exam-aligned choice for logging object access activity.

Key technical reasoning

Cross-account / cross-organization S3 access:

S3 Access Points are commonly used to provide distinct permissions and simplified policy management for different consumers of the same bucket. This is especially useful in multi-account environments.

Encryption at rest:

When access spans accounts or organizations, customer managed KMS keys are preferred because key policies and grants can explicitly authorize external principals. This gives finer control than SSE-S3 when cross-account governance matters.

Logging:

For S3 object-level operations, CloudTrail data events are the standard answer in AWS architecture questions. They record API activity such as GetObject, PutObject, and DeleteObject. This is more appropriate than VPC Flow Logs or relying only on S3 server access logging.

Regional aspect:

The fact that buckets are in us-east-1 and us-west-1 does not prevent cross-account access. S3 access control, KMS permissions, and CloudTrail can be configured in the relevant Regions.

Question # 80

A company is changing the way that it handles patching of Amazon EC2 instances in its application account. The company currently patches instances over the internet by using a NAT gateway in a VPC in the application account. The company has EC2 instances set up as a patch source repository in a dedicated private VPC in a core account. The company wants to use AWS Systems Manager Patch Manager and the patch source repository in the core account to patch the EC2 instances in the application account. The company must prevent all EC2 instances in the application account from accessing the internet. The EC2 instances in the application account need to access Amazon S3, where the application data is stored. These EC2 instances need connectivity to Systems Manager and to the patch source repository in the private VPC in the core account. Which solution will meet these requirements?

Options:

Create a network ACL that blocks outbound traffic on port 80. Associate the network ACL with all subnets in the application account. In the application account and the core account, deploy one EC2 instance that runs a custom VPN server. Create a VPN tunnel to access the private VPC. Update the route table in the application account.

Create private VIFs for Systems Manager and Amazon S3. Delete the NAT gateway from the VPC in the application account. Create a transit gateway to access the patch source repository EC2 instances in the core account. Update the route table in the core account.

Create VPC endpoints for Systems Manager and Amazon S3. Delete the NAT gateway from the VPC in the application account. Create a VPC peering connection to access the patch source repository EC2 instances in the core account. Update the route tables in both accounts.

Create a network ACL that blocks inbound traffic on port 80. Associate the network ACL with all subnets in the application account. Create a transit gateway to access the patch source repository EC2 instances in the core account. Update the route tables in both accounts.

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Answer:

Explanation:

Option C is the correct and most efficient solution, aligning with AWS best practices for secure and private connectivity:

Create VPC Endpoints for Systems Manager and Amazon S3:

Systems Manager VPC Endpoints: By creating interface VPC endpoints for Systems Manager (com.amazonaws.region.ssm, com.amazonaws.region.ec2messages, and com.amazonaws.region.ssmmessages), the EC2 instances can communicate with Systems Manager services without requiring internet access. This setup ensures that patching operations can be conducted securely within the AWS network.

Amazon S3 VPC Endpoint: A gateway VPC endpoint for Amazon S3 (com.amazonaws.region.s3) allows EC2 instances to access S3 buckets privately. This is essential for accessing application data stored in S3 without traversing the public internet.

[Reference: docs.aws.amazon.com, Delete the NAT Gateway:, Removing the NAT gateway ensures that EC2 instances in the application account cannot access the internet, satisfying the requirement to prevent internet access. This action enhances the security posture by eliminating a potential vector for unauthorized outbound traffic., Create a VPC Peering Connection:, Establishing a VPC peering connection between the application account's VPC and the core account's private VPC enables direct, private communication between the EC2 instances in both accounts. This setup allows the application account's EC2 instances to access the patch source repository hosted in the core account securely., Reference: docs.aws.amazon.com, Update Route Tables in Both Accounts:, After setting up the VPC peering connection, it's crucial to update the route tables in both VPCs to allow traffic to flow between them. This configuration ensures that the EC2 instances in the application account can reach the patch source repository in the core account and vice versa., Why Other Options Are Incorrect:, Option A: Implementing a custom VPN solution introduces unnecessary complexity and operational overhead. Additionally, merely blocking outbound traffic on port 80 does not comprehensively prevent internet access, as other ports (e.g., 443 for HTTPS) remain open., Option B: Creating private virtual interfaces (VIFs) is typically associated with AWS Direct Connect, which is not applicable in this scenario. Moreover, using a transit gateway, while feasible, is more complex and may be unnecessary for this use case., Option D: Blocking inbound traffic on port 80 does not prevent outbound internet access. Furthermore, employing a transit gateway adds complexity and cost, which may not be justified given the requirements., Conclusion:, Option C provides a secure, efficient, and cost-effective solution that meets all the specified requirements:, Prevents EC2 instances from accessing the internet., Enables access to Amazon S3 and Systems Manager services via VPC endpoints., Facilitates secure communication with the patch source repository in the core account through VPC peering., This approach leverages AWS's native networking features to maintain a secure and private environment for patch management operations., , , ]

Question # 81

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?

Options:

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.

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.

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.

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.

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Question # 82

A solutions architect must analyze a company ' s Amazon EC2 Instances and Amazon Elastic Block Store (Amazon EBS) volumes to determine whether the company is using resources efficiently The company is running several large, high-memory EC2 instances lo host database dusters that are deployed in active/passive configurations The utilization of these EC2 instances varies by the applications that use the databases, and the company has not identified a pattern

The solutions architect must analyze the environment and take action based on the findings.

Which solution meets these requirements MOST cost-effectively?

Options:

Create a dashboard by using AWS Systems Manager OpsConter Configure visualizations tor Amazon CloudWatch metrics that are associated with the EC2 instances and their EBS volumes Review the dashboard periodically and identify usage patterns Right size the EC2 instances based on the peaks in the metrics

Turn on Amazon CloudWatch detailed monitoring for the EC2 instances and their EBS volumes Create and review a dashboard that is based on the metrics Identify usage patterns Right size the FC? instances based on the peaks In the metrics

Install the Amazon CloudWatch agent on each of the EC2 Instances Turn on AWS Compute Optimizer, and let it run for at least 12 hours Review the recommendations from Compute Optimizer, and right size the EC2 instances as directed

Sign up for the AWS Enterprise Support plan Turn on AWS Trusted Advisor Wait 12 hours Review the recommendations from Trusted Advisor, and rightsize the EC2 instances as directed

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Question # 83

A company has a web application that allows users to upload short videos. The videos are stored on Amazon EBS volumes and analyzed by custom recognition software for categorization.

The website contains stat c content that has variable traffic with peaks in certain months. The architecture consists of Amazon EC2 instances running in an Auto Scaling group for the web application and EC2 instances running in an Auto Scaling group to process an Amazon SQS queue The company wants to re-architect the application to reduce operational overhead using AWS managed services where possible and remove dependencies on third-party software.

Which solution meets these requirements?

Options:

Use Amazon ECS containers for the web application and Spot Instances for the Auto Scaling group that processes the SQS queue. Replace the custom software with Amazon Recognition to categorize the videos.

Store the uploaded videos n Amazon EFS and mount the file system to the EC2 instances for Te web application. Process the SOS queue with an AWS Lambda function that calls the Amazon Rekognition API to categorize the videos.

Host the web application in Amazon S3. Store the uploaded videos in Amazon S3. Use S3 event notifications to publish events to the SQS queue Process the SQS queue with an AWS Lambda function that calls the Amazon Rekognition API to categorize the videos.

Use AWS Elastic Beanstalk to launch EC2 instances in an Auto Scaling group for the web application and launch a worker environment to process the SQS queue Replace the custom software with Amazon Rekognition to categorize the videos.

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Question # 84

A company has five development teams that have each created five AWS accounts to develop and host applications. To track spending, the development teams log in to each account every month, record the current cost from the AWS Billing and Cost Management console, and provide the information to the company ' s finance team.

The company has strict compliance requirements and needs to ensure that resources are created only in AWS Regions in the United States. However, some resources have been created in other Regions.

A solutions architect needs to implement a solution that gives the finance team the ability to track and consolidate expenditures for all the accounts. The solution also must ensure that the company can create resources only in Regions in the United States.

Which combination of steps will meet these requirements in the MOST operationally efficient way? (Select THREE.)

Options:

Create a new account to serve as a management account. Create an Amazon S3 bucket for the finance learn Use AWS Cost and Usage Reports to create monthly reports and to store the data in the finance team ' s S3 bucket.

Create a new account to serve as a management account. Deploy an organization in AWS Organizations with all features enabled. Invite all the existing accounts to the organization. Ensure that each account accepts the invitation.

Create an OU that includes all the development teams. Create an SCP that allows the creation of resources only in Regions that are in the United States. Apply the SCP to the OU.

Create an OU that includes all the development teams. Create an SCP that denies (he creation of resources in Regions that are outside the United States. Apply the SCP to the OU.

Create an 1AM role in the management account Attach a policy that includes permissions to view the Billing and Cost Management console. Allow the finance learn users to assume the role. Use AWS Cost Explorer and the Billing and Cost Management console to analyze cost.

Create an 1AM role in each AWS account. Attach a policy that includes permissions to view the Billing and Cost Management console. Allow the finance team users to assume the role.

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Question # 85

A company deploys a new web application. As pari of the setup, the company configures AWS WAF to log to Amazon S3 through Amazon Kinesis Data Firehose. The company develops an Amazon Athena query that runs once daily to return AWS WAF log data from the previous 24 hours. The volume of daily logs is constant. However, over time, the same query is taking more time to run.

A solutions architect needs to design a solution to prevent the query time from continuing to increase. The solution must minimize operational overhead.

Which solution will meet these requirements?

Options:

Create an AWS Lambda function that consolidates each day ' s AWS WAF logs into one log file.

Reduce the amount of data scanned by configuring AWS WAF to send logs to a different S3 bucket each day.

Update the Kinesis Data Firehose configuration to partition the data in Amazon S3 by date and time. Create external tables for Amazon Redshift. Configure Amazon Redshift Spectrum to query the data source.

Modify the Kinesis Data Firehose configuration and Athena table definition to partition the data by date and time. Change the Athena query to view the relevant partitions.

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Question # 86

A company runs an ecommerce web application on AWS. The web application is hosted as a static website on Amazon S3 with Amazon CloudFront for content delivery. An Amazon API Gateway API invokes AWS Lambda functions to handle user requests and order processing for the web application. The Lambda functions store data in an Amazon RDS for MySQL DB cluster that uses On-Demand Instances. The DB cluster usage has been consistent in the past 12 months. Recently, the website has experienced SQL injection and web exploit attempts. Customers also report that order processing time has increased during periods of peak usage. During these periods, the Lambda functions often have cold starts. As the company grows, the company needs to ensure scalability and low-latency access during traffic peaks. The company also must optimize the database costs and add protection against the SQL injection and web exploit attempts. Which solution will meet these requirements?

Options:

Configure the Lambda functions to have an increased timeout value during peak periods. Use RDS Reserved Instances for the database. Use CloudFront and subscribe to AWS Shield Advanced to protect against the SQL injection and web exploit attempts.

Increase the memory of the Lambda functions. Transition to Amazon Redshift for the database. Integrate Amazon Inspector with CloudFront to protect against the SQL injection and web exploit attempts.

Use Lambda functions with provisioned concurrency for compute during peak periods. Transition to Amazon Aurora Serverless for the database. Use CloudFront and subscribe to AWS Shield Advanced to protect against the SQL injection and web exploit attempts.

Use Lambda functions with provisioned concurrency for compute during peak periods. Use RDS Reserved Instances for the database. Integrate AWS WAF with CloudFront to protect against the SQL injection and web exploit attempts.

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Question # 87

A company has multiple AWS accounts and manages these accounts with AWS Organizations. A developer was given IAM user credentials to access AWS resources. The developer should have read-only access to all Amazon S3 buckets in the account. However, when the developer tries to access the S3 buckets from the console, they receive an access denied error message with no buckets listed.

A solutions architect reviews the permissions and finds that the developer’s IAM user is listed as having read-only access to all S3 buckets in the account.

Which additional steps should the solutions architect take to troubleshoot the issue? (Select TWO.)

Options:

Check the bucket policies for all S3 buckets.

Check the ACLs for all S3 buckets.

Check the SCPs set at the organizational units (OUs).

Check for the permissions boundaries set for the IAM user.

Check if an appropriate IAM role is attached to the IAM user.

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Question # 88

A company has a website that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances are in an Auto Scaling group. The ALB is associated with an AWS WAF web ACL.

The website often encounters attacks in the application layer. The attacks produce sudden and significant increases in traffic on the application server. The access logs show that each attack originates from different IP addresses. A solutions architect needs to implement a solution to mitigate these attacks.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Create an Amazon CloudWatch alarm that monitors server access. Set a threshold based on access by IP address. Configure an alarm action that adds the IP address to the web ACL’s deny list.

Deploy AWS Shield Advanced in addition to AWS WAF. Add the ALB as a protected resource.

Create an Amazon CloudWatch alarm that monitors user IP addresses. Set a threshold based on access by IP address. Configure the alarm to invoke an AWS Lambda function to add a deny rule in the application server’s subnet route table for any IP addresses that activate the alarm.

Inspect access logs to find a pattern of IP addresses that launched the attacks. Use an Amazon Route 53 geolocation routing policy to deny traffic from the countries that host those IP addresses.

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Question # 89

A startup company hosts a fleet of Amazon EC2 instances in private subnets using the latest Amazon Linux 2 AMI. The company ' s engineers rely heavily on SSH access to the instances for troubleshooting.

The company ' s existing architecture includes the following:

• A VPC with private and public subnets, and a NAT gateway

• Site-to-Site VPN for connectivity with the on-premises environment

• EC2 security groups with direct SSH access from the on-premises environment

The company needs to increase security controls around SSH access and provide auditing of commands executed by the engineers.

Which strategy should a solutions architect use?

Options:

Install and configure EC2 Instance Connect on the fleet of EC2 instances. Remove all security group rules attached to EC2 instances that allow inbound TCP on port 22. Advise the engineers to remotely access the instances by using the EC2 Instance Connect CLI.

Update the EC2 security groups to only allow inbound TCP on port 22 to the IP addresses of the engineer ' s devices. Install the Amazon CloudWatch agent on all EC2 instances and send operating system audit logs to CloudWatch Logs.

Update the EC2 security groups to only allow inbound TCP on port 22 to the IP addresses of the engineer ' s devices. Enable AWS Config for EC2 security group resource changes. Enable AWS Firewall Manager and apply a security group policy that automatically remediates changes to rules.

Create an IAM role with the AmazonSSMManagedInstanceCore managed policy attached. Attach the IAM role to all the EC2 instances. Remove all security group rules attached to the EC2 instances that allow inbound TCP on port 22. Have the engineers install the AWS Systems Manager Session Manager plugin for their devices and remotely access the instances by using the start-session API call from Systems Manager.

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Question # 90

A company has an application in the AWS Cloud. The application runs on a fleet of 20 Amazon EC2 instances. The EC2 instances are persistent and store data on multiple attached Amazon Elastic Block Store (Amazon EBS) volumes.

The company must maintain backups in a separate AWS Region. The company must be able to recover the EC2 instances and their configuration within I business day, with loss of no more than I day ' s worth of data. The company has limited staff and needs a backup solution that optimizes operational efficiency and cost. The company already has created an AWS CloudFormation template that can deploy the required network configuration in a secondary Region.

Which solution will meet these requirements?

Options:

Create a second CloudFormation template that can recreate the EC2 instances in the secondary Region. Run daily multivolume snapshots by using AWS Systems Manager Automation runbooks. Copy the snapshots to the secondary Region. In the event of a failure, launch the CloudFormation templates, restore the EBS volumes from snapshots, and transfer usage to the secondary Region.

Use Amazon Data Lifecycle Manager (Amazon DLM) to create daily multivolume snapshots of the EBS volumes. In the event of a failure, launch theCloudFormation template and use Amazon DLM to restore the EBS volumes and transfer usage to the secondary Region.

Use AWS Backup to create a scheduled daily backup plan for the EC2 instances. Configure the backup task to copy the backups to a vault in the secondary Region. In the event of a failure, launch the CloudFormation template, restore the instance volumes and configurations from the backup vault, and transfer usage to the secondary Region.

Deploy EC2 instances of the same size and configuration to the secondary Region. Configure AWS DataSync daily to copy data from the primary Region to the secondary Region. In the event of a failure, launch the CloudFormation template and transfer usage to the secondaryRegion.

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Question # 91

A company is hosting a three-tier web application in an on-premises environment. Due to a recentsurge in traffic that resulted in downtime and a significant financial impact, company management has ordered that the application be moved to AWS. The application is written in .NET and has a dependency on a MySQL database A solutions architect must design a scalable and highly available solution to meet the demand of 200000 daily users.

Which steps should the solutions architect take to design an appropriate solution?

Options:

Use AWS Elastic Beanstalk to create a new application with a web server environment and an Amazon RDS MySQL Multi-AZ DB instance The environment should launch a Network Load Balancer (NLB) in front of an Amazon EC2 Auto Scaling group in multiple Availability Zones Use an Amazon Route 53 alias record to route traffic from the company ' s domain to the NLB.

Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon EC2 Auto Scaling group spanning three Availability Zones. The stack should launch a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a Retain deletion policy. Use an Amazon Route 53 alias record to route traffic from the company ' s domain to the ALB

Use AWS Elastic Beanstalk to create an automatically scaling web server environment that spans two separate Regions with an Application Load Balancer (ALB) in each Region. Create a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a cross-Region read replica Use Amazon Route 53 with a geoproximity routing policy to route traffic between the two Regions.

Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon ECS cluster of Spot Instances spanning three Availability Zones The stack should launch an Amazon RDS MySQL DB instance with a Snapshot deletion policy Use an Amazon Route 53 alias record to route traffic from the company ' s domain to the ALB

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Question # 92

A company uses an organization in AWS Organizations to manage the company ' s AWS accounts. The company uses AWS CloudFormation to deploy all infrastructure. A finance team wants to buikJ a chargeback model The finance team asked each business unit to tag resources by using a predefined list of project values.

When the finance team used the AWS Cost and Usage Report in AWS Cost Explorer and filtered based on project, the team noticed noncompliant project values. The company wants to enforce the use of project tags for new resources.

Which solution will meet these requirements with the LEAST effort?

Options:

Create a tag policy that contains the allowed project tag values in the organization ' s management account. Create an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added. Attach the SCP to each OU.

Create a tag policy that contains the allowed project tag values in each OU. Create an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added. Attach the SCP to each OU.

Create a tag policy that contains the allowed project tag values in the AWS management account. Create an 1AM policy that denies the cloudformation:CreateStack API operation unless a project tag is added. Assign the policy to each user.

Use AWS Service Catalog to manage the CloudFoanation stacks as products. Use a TagOptions library to control project tag values. Share the portfolio with all OUs that are in the organization.

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Question # 93

A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days

The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day

Which solution meets these requirements?

Options:

Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS When AWS receives the Snowball Edge device and the data is loaded into Amazon S3 use S3 events to trigger an AWS Lambda function to process the data

Use AWS Data Pipeline to transfer the sequencing data to Amazon S3 Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data

Use AWS DataSync to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data

Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Batch job that runs on Amazon EC2 instances running the Docker containers to process the data

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Exam Code: SAP-C02

Exam Name: AWS Certified Solutions Architect - Professional

Last Update: Jul 30, 2026

Questions: 683

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