[2025] Use Valid SAP-C02 Exam - Actual Exam Question & Answer [Q271-Q286]

[2025] Use Valid SAP-C02 Exam - Actual Exam Question & Answer

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Passing the SAP-C02 exam demonstrates that you have the technical skills and knowledge required to design and deploy complex, scalable, and highly available systems on AWS. AWS Certified Solutions Architect - Professional (SAP-C02) certification is highly valued by employers and can lead to higher salaries and better job opportunities. It also demonstrates your commitment to your career and your willingness to invest time and effort in learning and mastering the latest AWS technologies.

 

NEW QUESTION # 271
An online retail company is migrating its legacy on-premises .NET application to AWS. The application runs on load-balanced frontend web servers, load-balanced application servers, and a Microsoft SQL Server database.
The company wants to use AWS managed services where possible and does not want to rewrite the application. A solutions architect needs to implement a solution to resolve scaling issues and minimize licensing costs as the application scales.
Which solution will meet these requirements MOST cost-effectively?

• A. Separate the application functions into AWS Lambda functions. Use Amazon API Gateway for the web frontend tier and the application tier. Migrate the data to Amazon S3. Use Amazon Athena to query the data.
• B. Deploy Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer for the web tier and for the application tier. Use Amazon Aurora PostgreSQL with Babelfish turned on to replatform the SOL Server database.
• C. Containerize the web frontend tier and the application tier. Provision an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Create an Auto Scaling group behind a Network Load Balancer for the web tier and for the application tier. Use Amazon RDS for SOL Server to host the database.
• D. Create images of all the servers by using AWS Database Migration Service (AWS DMS). Deploy Amazon EC2 instances that are based on the on-premises imports. Deploy the instances in an Auto Scaling group behind a Network Load Balancer for the web tier and for the application tier. Use Amazon DynamoDB as the database tier.

Answer: B

Explanation:
Explanation
The best solution is to create a tag policy that contains the allowed project tag values in the organization's management account and create an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added. A tag policy is a type of policy that can help standardize tags across resources in the organization's accounts. A tag policy can specify the allowed tag keys, values, and case treatment for compliance. A service control policy (SCP) is a type of policy that can restrict the actions that users and roles can perform in the organization's accounts. An SCP can deny access to specific API operations unless certain conditions are met, such as having a specific tag. By creating a tag policy in the management account and attaching it to each OU, the organization can enforce consistent tagging across all accounts. By creating an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added, the organization can prevent users from creating new resources without proper tagging. This solution will meet the requirements with the least effort, as it does not involve creating additional resources or modifying existing ones. References: Tag policies - AWS Organizations, Service control policies - AWS Organizations, AWS CloudFormation User Guide

NEW QUESTION # 272
A company is running an application on premises. The application uses a set of web servers that host a static React-based single-page application (SPA), a Node.js API, and a MYSQL database server. The database is read intensive. The company will need to expand the database's storage at an unpredictable rate.
The company must migrate the application to AWS. The company also must modernize the architecture to reduce infrastructure management and increase scalability.
Which solution will meet these requirements with the LEAST operational overhead?

• A. Use AWS Database Migration Service (AWS DMS) to migrate the database to a MySQL database that runs on Amazon EC2 instances. Use AWS DataSync to migrate the web files and API files to an Amazon FSx for Windows File Server file system. Set up a fleet of EC2 instances in an Auto Scaling group as web servers. Mount the FSx for Windows File Server file system.
• B. Use AWS Application Migration Service to migrate the database to Amazon EC2 instances. Copy the web files to containers that run on Amazon Elastic Kubernetes Service (Amazon EKS). Set up an Elastic Load Balancing (ELB) load balancer for the EC2 instances and EKS containers. Copy the API code to AWS Lambda functions. Configure Amazon API Gateway to point to the Lambda functions.
• C. Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon RDS for MySQL. Use AWS Application Migration Service to migrate the web application to a fleet of Amazon EC2 instances behind an Elastic Load Balancing (ELB) load balancer. Use a Spot Fleet with a request type of request to host the API.
• D. Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon Aurora MySQL. Copy the web files to an Amazon S3 bucket and set up web hosting. Copy the API code to AWS Lambda functions. Configure Amazon API Gateway to point to the Lambda functions.

Answer: D

NEW QUESTION # 273
A company has a serverless application comprised of Amazon CloudFront, Amazon API Gateway, and AWS Lambda functions. The current deployment process of the application code is to create a new version number of the Lambda function and run an AWS CLI script to update. If the new function version has errors, another CLI script reverts by deploying the previous working version of the function. The company would like to decrease the time to deploy new versions of the application logic provided by the Lambda functions, and also reduce the time to detect and revert when errors are identified.
How can this be accomplished?

• A. Create and deploy nested AWS CloudFormation stacks with the parent stack consisting of the AWS CloudFront distribution and API Gateway, and the child stack containing the Lambda function. For changes to Lambda, create an AWS CloudFormation change set and deploy; if errors are triggered, revert the AWS CloudFormation change set to the previous version.
• B. Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.
• C. Refactor the AWS CLI scripts into a single script that deploys the new Lambda version. When deployment is completed, the script tests execute. If errors are detected, revert to the previous Lambda version.
• D. Create and deploy an AWS CloudFormation stack that consists of a new API Gateway endpoint that references the new Lambda version. Change the CloudFront origin to the new API Gateway endpoint, monitor errors and if detected, change the AWS CloudFront origin to the previous API Gateway endpoint.

Answer: B

Explanation:
Explanation
https://aws.amazon.com/about-aws/whats-new/2017/11/aws-lambda-supports-traffic-shifting-and-phased-deploy

NEW QUESTION # 274
A solutions architect is investigating an issue in which a company cannot establish new sessions in Amazon Workspaces. An initial analysis indicates that the issue involves user profiles. The Amazon Workspaces environment is configured to use Amazon FSx for Windows File Server as the profile share storage. The FSx for Windows File Server file system is configured with 10 TB of storage.
The solutions architect discovers that the file system has reached its maximum capacity. The solutions architect must ensure that users can regain access. The solution also must prevent the problem from occurring again.
Which solution will meet these requirements?

• A. Increase capacity by using the update-file-system command. Implement an Amazon CloudWatch metric that monitors free space. Use Amazon EventBridge to invoke an AWS Lambda function to increase capacity as required.
• B. Remove old user profiles to create space. Create an additional FSx for Windows File Server file system.
  Update the user profile redirection for 50% of the users to use the new file system.
• C. Monitor the file system by using the FreeStorageCapacity metric in Amazon CloudWatch. Use AWS Step Functions to increase the capacity as required.
• D. Remove old user profiles to create space. Migrate the user profiles to an Amazon FSx for Lustre file system.

Answer: A

Explanation:
It can prevent the issue from happening again by monitoring the file system with the FreeStorageCapacity metric in Amazon CloudWatch and using Amazon EventBridge to invoke an AWS Lambda function to increase the capacity as required. This ensures that the file system always has enough free space to store user profiles and avoids reaching maximum capacity.

NEW QUESTION # 275
A financial services company receives a regular data feed from its credit card servicing partner Approximately 5.000 records are sent every 15 minutes in plaintext, delivered over HTTPS directly into an Amazon S3 bucket with server-side encryption. This feed contains sensitive credit card primary account number (PAN) data The company needs to automatically mask the PAN before sending the data to another S3 bucket for additional internal processing. The company also needs to remove and merge specific fields, and then transform the record into JSON format Additionally, extra feeds are likely to be added in the future, so any design needs to be easily expandable.
Which solutions will meet these requirements?

• A. Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match. Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, have the ETL job send the results to another S3 bucket for internal processing.
• B. Create an AWS Glue crawler and custom classifier based upon the data feed formats and build a table definition to match. Perform an Amazon Athena query on file delivery to start an Amazon EMR ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, send the results to another S3 bucket for internal processing and scale down the EMR cluster.
• C. Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Configure an AWS Fargate container application to automatically scale to a single instance when the SQS queue contains messages. Have the application process each record, and transform the record into JSON format. When the queue is empty, send the results to another S3 bucket for internal processing and scale down the AWS Fargate instance.
• D. Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Trigger another Lambda function when new messages arrive in the SQS queue to process the records, writing the results to a temporary location in Amazon S3. Trigger a final Lambda function once the SQS queue is empty to transform the records into JSON format and send the results to another S3 bucket for internal processing.

Answer: A

Explanation:
You can use a Glue crawler to populate the AWS Glue Data Catalog with tables. The Lambda function can be triggered using S3 event notifications when object create events occur. The Lambda function will then trigger the Glue ETL job to transform the records masking the sensitive data and modifying the output format to JSON. This solution meets all requirements.

NEW QUESTION # 276
A company needs to implement a disaster recovery (DR) plan for a web application. The application runs in a single AWS Region.
The application uses microservices that run in containers. The containers are hosted on AWS Fargate in Amazon Elastic Container Service (Amazon ECS). The application has an Amazon RDS for MYSQL DB instance as its data layer and uses Amazon Route 53 for DNS resolution. An Amazon CloudWatch alarm invokes an Amazon EventBridge rule if the application experiences a failure.
A solutions architect must design a DR solution to provide application recovery to a separate Region. The solution must minimize the time that is necessary to recover from a failure.
Which solution will meet these requirements?

• A. Set up a second ECS cluster and ECS service on Fargate in the separate Region. Take a snapshot of the ROS DB instance. Convert the snapshot to an Amazon DynamoDB global table. Create an AWS Lambda function to update Route 53 to route traffic to the second ECS cluster Update the EventBridge rule to add a target that will invoke the Lambda function.
• B. Set up a second ECS cluster and ECS service on Fargate in the separate Region. Create a cross-Region read replica of the RDS DB instance in the separate Region. Create an AWS Lambda function to prornote the read replica to the primary database. Configure the Lambda function to update Route 53 to route traffic to the second ECS cluster. Update the EventBridge rule to add a target that will invoke the Lambda function.
• C. Create an AWS Lambda function that creates a second ECS cluster and ECS service in the separate Region. Configure the Lambda function to perform the following actions: take a snapshot of thQRDS DB instance, copy the snapshot to the separate Region. create a new RDS DB instance from the snapshot.
  and update Route 53 to route traffic to the second ECS cluster. Update the EventBridge rule to add a target that will invoke the Lambda function.
• D. Set up a second ECS cluster and ECS service on Fargate in the separate Region. Create an AWS Lambda function to perform the following actions: take a snapshot of the ROS DB instance. copy the snapshot to the separate Region. create a new RDS DB instance frorn the snapshot, and update Route 53 to route traffic to the second ECS cluster. Update the EventBridge rule to add a target that will invoke the Lambda function.

Answer: B

Explanation:
This option uses a cross-Region read replica of the RDS DB instance to provide a standby database in the separate Region. A cross-Region read replica is a copy of the primary database that is updated asynchronously using the native replication features of the database engine. It provides enhanced availability, scalability, and performance for read-heavy workloads. It also enables fast recovery from a regional outage by promoting the read replica to a standalone database. To use a cross-Region read replica, the company needs to set up a second ECS cluster and ECS service on Fargate in the separate Region. The company also needs to create an AWS Lambda function to promote the read replica to the primary database and update Route 53 to route traffic to the second ECS cluster. The company can then update the EventBridge rule to add a target that will invoke the Lambda function in case of a failure.

NEW QUESTION # 277
A company's solutions architect is analyzing costs of a multi-application environment. The environment is deployed across multiple Availability Zones in a single AWS Region. After a recent acquisition, the company manages two organizations in AWS Organizations. The company has created multiple service provider applications as AWS PrivateLink-powered VPC endpoint services in one organization. The company has created multiple service consumer applications in the other organization.
Data transfer charges are much higher than the company expected, and the solutions architect needs to reduce the costs. The solutions architect must recommend guidelines for developers to follow when they deploy services. These guidelines must minimize data transfer charges for the whole environment.
Which guidelines meet these requirements? (Select TWO.)

• A. Turn off cross-zone load balancing for the Network Load Balancer in all service provider application deployments.
• B. Create a Savings Plan that provides adequate coverage for the organization's planned inter-Availability Zone data transfer usage.
• C. Use AWS Resource Access Manager to share the subnets that host the service provider applications with other accounts in the organization.
• D. Ensure that service consumer compute resources use the Availability Zone-specific endpoint service by using the endpoint's local DNS name.
• E. Place the service provider applications and the service consumer applications in AWS accounts in the same organization.

Answer: A,D

Explanation:
Explanation
Cross-zone load balancing enables traffic to be distributed evenly across all registered instances in all enabled Availability Zones. However, this also increases data transfer charges between Availability Zones. By turning off cross-zone load balancing, the service provider applications can reduce inter-Availability Zone data transfer costs. Similarly, by using the Availability Zone-specific endpoint service, the service consumer applications can ensure that they connect to the nearest service provider application in the same Availability Zone, avoiding cross-Availability Zone data transfer charges. References:
https://docs.aws.amazon.com/elasticloadbalancing/latest/network/load-balancer-target-groups.html#cross-z
https://docs.aws.amazon.com/vpc/latest/userguide/vpce-interface.html#vpce-interface-dns

NEW QUESTION # 278
A company uses AWS Organizations for a multi-account setup in the AWS Cloud. The company's finance team has a data processing application that uses AWS Lambda and Amazon DynamoDB. The company's marketing team wants to access the data that is stored in the DynamoDB table.
The DynamoDB table contains confidential data. The marketing team can have access to only specific attributes of data in the DynamoDB table. The fi-nance team and the marketing team have separate AWS accounts.
What should a solutions architect do to provide the marketing team with the appropriate access to the DynamoDB table?

• A. Create a resource-based IAM policy that includes conditions for spe-cific DynamoDB attributes (fine-grained access control). Attach the policy to the DynamoDB table. In the marketing team's account, create an IAM role that has permissions to access the DynamoDB table in the finance team's account.
• B. Create an IAM role in the finance team's account by using IAM policy conditions for specific DynamoDB attributes (fine-grained access con-trol). Establish trust with the marketing team's account.
  In the mar-keting team's account, create an IAM role that has permissions to as-sume the IAM role in the finance team's account.
• C. Create an IAM role in the finance team's account to access the Dyna-moDB table. Use an IAM permissions boundary to limit the access to the specific attributes. In the marketing team's account, create an IAM role that has permissions to assume the IAM role in the finance team's account.
• D. Create an SCP to grant the marketing team's AWS account access to the specific attributes of the DynamoDB table. Attach the SCP to the OU of the finance team.

Answer: A

Explanation:
Explanation
The company should create a resource-based IAM policy that includes conditions for specific DynamoDB attributes (fine-grained access control). The company should attach the policy to the DynamoDB table. In the marketing team's account, the company should create an IAM role that has permissions to access the DynamoDB table in the finance team's account. This solution will meet the requirements because a resource-based IAM policy is a policy that you attach to an AWS resource (such as a DynamoDB table) to control who can access that resource and what actions they can perform on it. You can use IAM policy conditions to specify fine-grained access control for DynamoDB items and attributes. For example, you can allow or deny access to specific attributes of all items in a table by matching on attribute names1. By creating a resource-based policy that allows access to only specific attributes of the DynamoDB table and attaching it to the table, the company can restrict access to confidential data. By creating an IAM role in the marketing team's account that has permissions to access the DynamoDB table in the finance team's account, the company can enable cross-account access.
The other options are not correct because:
Creating an SCP to grant the marketing team's AWS account access to the specific attributes of the DynamoDB table would not work because SCPs are policies that you can use with AWS Organizations to manage permissions in your organization's accounts. SCPs do not grant permissions; instead, they specify the maximum permissions that identities in an account can have2. SCPs cannot be used to specify fine-grained access control for DynamoDB items and attributes.
Creating an IAM role in the finance team's account by using IAM policy conditions for specific DynamoDB attributes and establishing trust with the marketing team's account would not work because IAM roles are identities that you can create in your account that have specific permissions. You can use an IAM role to delegate access to users, applications, or services that don't normally have access to your AWS resources3. However, creating an IAM role in the finance team's account would not restrict access to specific attributes of the DynamoDB table; it would only allow cross-account access. The company would still need a resource-based policy attached to the table to enforce fine-grained access control.
Creating an IAM role in the finance team's account to access the DynamoDB table and using an IAM permissions boundary to limit the access to the specific attributes would not work because IAM permissions boundaries are policies that you use to delegate permissions management to other users. You can use permissions boundaries to limit the maximum permissions that an identity-based policy can grant to an IAM entity (user or role) . Permissions boundaries cannot be used to specify fine-grained access control for DynamoDB items and attributes.
References:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/specifying-conditions.html
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles.html
https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_boundaries.html

NEW QUESTION # 279
A company recently started hosting new application workloads in the AWS Cloud. The company is using Amazon EC2 instances. Amazon Elastic File System (Amazon EFS) file systems, and Amazon RDS DB instances.
To meet regulatory and business requirements, the company must make the following changes for data backups:
* Backups must be retained based on custom daily, weekly, and monthly requirements.
* Backups must be replicated to at least one other AWS Region immediately after capture.
* The backup solution must provide a single source of backup status across the AWS environment.
* The backup solution must send immediate notifications upon failure of any resource backup.
Which combination of steps will meet these requirements with the LEAST amount of operational overhead?
(Select THREE.)

• A. Create an AWS Lambda function to replicate backups to another Region and send notification if a failure occurs.
• B. Create an AWS Backup plan with a backup rule for each of the retention requirements.
• C. Configure an AWS Backup plan to copy backups to another Region.
• D. Add an Amazon Simple Notification Service (Amazon SNS) topic to the backup plan to send a notification for finished jobs that have any status except BACKUP_JOB_COMPLETEO.
• E. Create an Amazon Data Lifecycle Manager (Amazon DLM) snapshot lifecycle policy for each of the retention requirements.
• F. Set up RDS snapshots on each database.

Answer: C,D,E

NEW QUESTION # 280
A company uses an on-premises data analytics platform. The system is highly available in a fully redundant configuration across 12 servers in the company's data center.
The system runs scheduled jobs, both hourly and daily, in addition to one-time requests from users. Scheduled jobs can take between 20 minutes and 2 hours to finish running and have tight SLAs. The scheduled jobs account for 65% of the system usage. User jobs typically finish running in less than 5 minutes and have no SLA. The user jobs account for 35% of system usage. During system failures, scheduled jobs must continue to meet SLAs. However, user jobs can be delayed.
A solutions architect needs to move the system to Amazon EC2 instances and adopt a consumption-based model to reduce costs with no long-term commitments. The solution must maintain high availability and must not affect the SLAs.
Which solution will meet these requirements MOST cost-effectively?

• A. Split the 12 instances across three Availability Zones in the chosen AWS Region. Run two instances in each Availability Zone as On-Demand Instances with a Savings Plan. Run two instances in each Availability Zone as Spot Instances.
• B. Split the 12 instances across three Availability Zones in the chosen AWS Region. In one of the Availability Zones, run all four instances as On-Demand Instances with Capacity Reservations. Run the remaining instances as Spot Instances.
• C. Split the 12 instances across two Availability Zones in the chosen AWS Region. Run two instances in each Availability Zone as On-Demand Instances with Capacity Reservations. Run four instances in each Availability Zone as Spot Instances.
• D. Split the 12 instances across three Availability Zones in the chosen AWS Region. Run three instances in each Availability Zone as On-Demand Instances with Capacity Reservations. Run one instance in each Availability Zone as a Spot Instance.

Answer: D

Explanation:
Explanation
By splitting the 12 instances across three Availability Zones, the system can maintain high availability and availability of resources in case of a failure. Option D also uses a combination of On-Demand Instances with Capacity Reservations and Spot Instances, which allows for scheduled jobs to be run on the On-Demand instances with guaranteed capacity, while also taking advantage of the cost savings from Spot Instances for the user jobs which have lower SLA requirements.

NEW QUESTION # 281
A large education company recently introduced Amazon Workspaces to provide access to internal applications across multiple universities. The company is storing user proxies on an Amazon FSx for Windows File Server tile system. The Me system is configured with a DNS alias and is connected to a self-managed Active Directory As more users begin to use the Workspaces login time increases to unacceptable levels An investigation reveals a degradation in performance of the file system. The company created the file system on HDD storage with a throughput of 16 MBps A solutions architect must improve the performance of the file system during a defined maintenance window What should the solutions architect do to meet these requirements with the LEAST administrative effort?

• A. Disconnect users from the file system In the Amazon FSx console, update the throughput capacity to 32 MBps Update the storage type to SSD Reconnect users to the file system
• B. Deploy an AWS DataSync agent onto a new Amazon EC2 instance. Create a task Configure the existing file system as the source location Configure a new FSx for Windows File Server file system with SSD storage and 32 MBps of throughput as the target location Schedule the task When the task is completed adjust the DNS alias accordingly Delete the original file system.
• C. Use AWS Backup to create a point-in-time backup of the file system Restore the backup to a new FSx for Windows File Server file system Select SSD as the storage type Select 32 MBps as the throughput capacity When the backup and restore process is completed adjust the DNS alias accordingly Delete the original file system
• D. Enable shadow copies on the existing file system by using a Windows PowerShell command Schedule the shadow copy job to create a point-in-time backup of the file system Choose to restore previous versions Create a new FSx for Windows File Server file system with SSD storage and 32 MBps of throughput When the copy job is completed, adjust the DNS alias Delete the original file system

Answer: D

NEW QUESTION # 282
A large company has many business units Each business unit has multiple AWS accounts for different purposes. The CIO of the company sees that each business unit has data that would be useful to share with other parts of the company in total there are about 10 PB of data that needs to be shared with users in 1.000 AWS accounts. The data is proprietary so some of it should only be available to users with specific job types Some of the data is used for throughput of intensive workloads such as simulations. The number of accounts changes frequently because of new initiatives acquisitions and divestitures A solutions architect has been asked to design a system that will allow for sharing data for use in AWS with all of the employees in the company Which approach will allow for secure data sharing in scalable way?

• A. Store the data in a series of Amazon S3 buckets Create an application running m Amazon EC2 that is integrated with the company's identity provider (IdP) that authenticates users and allows them to download or upload data through the application The application uses the business unit and job type information in the IdP to control what users can upload and download through the application The users can access the data through the application's API
• B. Store the data in a single Amazon S3 bucket Write a bucket policy that uses conditions to grant read and write access where appropriate based on each user's business unit and job type. Determine the business unit with the AWS account accessing the bucket and the job type with a prefix in the IAM user's name Users can access data by using IAM credentials from their business unit's AWS account with an S3 client
• C. D https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/implement-saas-tenant-isolation-for-am
• D. Store the data in a series of Amazon S3 buckets Create an AWS STS token vending machine that is integrated with the company's identity provider (IdP) When a user logs in: have the token vending machine attach an IAM policy that assumes the role that limits the user's access and/or upload only the data the user is authorized to access Users can get credentials by authenticating to the token vending machine's website or API and then use those credentials with an S3 client
• E. Store the data in a single Amazon S3 bucket Create an IAM role for every combination of job type and business unit that allows for appropriate read/write access based on object prefixes in the S3 bucket The roles should have trust policies that allow the business unit's AWS accounts to assume their roles Use IAM in each business unit's AWS account to prevent them from assuming roles for a different job type Users get credentials to access the data by using AssumeRole from their business unit's AWS account Users can then use those credentials with an S3 client

Answer: C

NEW QUESTION # 283
A video streaming company recently launched a mobile app for video sharing. The app uploads various files to an Amazon S3 bucket in the us-east-1 Region. The files range in size from 1 GB to 1 0 GB.
Users who access the app from Australia have experienced uploads that take long periods of time Sometimes the files fail to completely upload for these users . A solutions architect must improve the app' performance for these uploads
Which solutions will meet these requirements? (Select TWO.)

• A. Configure an S3 bucket in each Region to receive the uploads. Use S3 Cross-Region Replication to copy the files to the distribution S3 bucket.
• B. Enable S3 Transfer Acceleration on the S3 bucket Configure the app to use the Transfer Acceleration endpoint for uploads
• C. Configure the app to break the video files into chunks Use a multipart upload to transfer files to Amazon S3.
• D. Modify the app to add random prefixes to the files before uploading
• E. Set up Amazon Route 53 with latency-based routing to route the uploads to the nearest S3 bucket Region.

Answer: B,D

NEW QUESTION # 284
A company consists of two separate business units. Each business unit has its own AWS account within a single organization in AWS Organizations. The business units regularly share sensitive documents with each other. To facilitate sharing, the company created an Amazon S3 bucket in each account and configured two-way replication between the S3 buckets. The S3 buckets have millions of objects.
Recently, a security audit identified that neither S3 bucket has encryption at rest enabled. Company policy requires that all documents must be stored with encryption at rest. The company wants to implement server-side encryption with Amazon S3 managed encryption keys (SSE-S3).
What is the MOST operationally efficient solution that meets these requirements?

• A. Turn on SSE-S3 on both S3 buckets. Encrypt the existing objects by using an S3 copy command in the AWS CLI.
• B. Create an AWS Key Management Service (AWS KMS) key in each account. Turn on server-side encryption with AWS KMS keys (SSE-KMS) on each S3 bucket by using the corresponding KMS key in that AWS account. Use S3 Batch Operations to copy the objects into the same location.
• C. Turn on SSE-S3 on both S3 buckets. Use S3 Batch Operations to copy and encrypt the objects in the same location.
• D. Create an AWS Key Management Service (AWS KMS) key in each account. Turn on server-side encryption with AWS KMS keys (SSE-KMS) on each S3 bucket by using the corresponding KMS key in that AWS account. Encrypt the existing objects by using an S3 copy command in the AWS CLI.

Answer: C

Explanation:
"The S3 buckets have millions of objects" If there are million of objects then you should use Batch operations. https://aws.amazon.com/blogs/storage/encrypting-objects-with-amazon-s3-batch-operations/

NEW QUESTION # 285
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?

• A. 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.
• B. 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.
• C. 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.
• D. 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.

Answer: A

Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/ServerSideEncryptionCustomerKeys.html Clearly says we need following header for SSE-C x-amz-server-side-encryption-customer-algorithm Use this header to specify the encryption algorithm. The header value must be AES256.

NEW QUESTION # 286
......

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