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Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) Exam is a highly sought-after certification for IT professionals who want to demonstrate their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. SAP-C02 exam is designed for individuals who have already obtained the AWS Certified Solutions Architect – Associate certification and have significant experience in designing distributed applications and systems on AWS.

Amazon SAP-C02 Exam covers a broad range of topics that are relevant to AWS solutions architects, including high availability and business continuity, network design, data storage solutions, security, and cost optimization. SAP-C02 exam is designed to test a candidate's ability to design and deploy complex systems on AWS, as well as their understanding of best practices for architectural design and implementation.

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

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q393-Q398):

NEW QUESTION # 393
A company migrated an application to the AWS Cloud. The application runs on two Amazon EC2 instances behind an Application Load Balancer (ALB). Application data is stored in a MySQL database that runs on an additional EC2 instance. The application's use of the database is read-heavy.
The loads static content from Amazon Elastic Block Store (Amazon EBS) volumes that are attached to each EC2 instance. The static content is updated frequently and must be copied to each EBS volume.
The load on the application changes throughout the day. During peak hours, the application cannot handle all the incoming requests. Trace data shows that the database cannot handle the read load during peak hours.
Which solution will improve the reliability of the application?

A. Migrate the application to a set of AWS Lambda functions. Set the Lambda functions as targets for the ALB. Create a new single EBS volume for the static content. Configure the Lambda functions to read from the new EBS volume. Migrate the database to an Amazon RDS for MySQL Multi-AZ DB cluster.
B. Containerize the application. Migrate the application to an Amazon Elastic Container Service (Amazon ECS) Cluster. Use the AWS Fargate launch type for the tasks that host the application. Create a new single EBS volume the static content. Mount the new EBS volume on the ECS duster. Configure AWS Application Auto Scaling on ECS cluster. Set the ECS service as a target for the ALB. Migrate the database to an Amazon RDS for MySOL Multi-AZ DB cluster.
C. Containerize the application. Migrate the application to an Amazon Elastic Container Service (Amazon ECS) cluster. Use the AWS Fargate launch type for the tasks that host the application. Create an Amazon Elastic File System (Amazon EFS) file system for the static content. Mount the EFS file system to each container. Configure AWS Application Auto Scaling on the ECS cluster Set the ECS service as a target for the ALB. Migrate the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance.
D. Migrate the application to a set of AWS Step Functions state machines. Set the state machines as targets for the ALB. Create an Amazon Elastic File System (Amazon EFS) file system for the static content. Configure the state machines to read from the EFS file system. Migrate the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance.

Answer: C

Explanation:
This solution will improve the reliability of the application by addressing the issues of scalability, availability, and performance. Containerizing the application will make it easier to deploy and manage on AWS. Migrating the application to an Amazon ECS cluster will allow the application to run on a fully managed container orchestration service. Using the AWS Fargate launch type for the tasks that host the application will enable the application to run on serverless compute engines that are automatically provisioned and scaled by AWS. Creating an Amazon EFS file system for the static content will provide a scalable and shared storage solution that can be accessed by multiple containers. Mounting the EFS file system to each container will eliminate the need to copy the static content to each EBS volume and ensure that the content is always up to date. Configuring AWS Application Auto Scaling on the ECS cluster will enable the application to scale up and down based on demand or a predefined schedule. Setting the ECS service as a target for the ALB will distribute the incoming requests across multiple tasks in the ECS cluster and improve the availability and fault tolerance of the application. Migrating the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance will provide a fully managed, compatible, and scalable relational database service that can handle high throughput and concurrent connections. Using a reader DB instance will offload some of the read load from the primary DB instance and improve the performance of the database.

NEW QUESTION # 394
A company owns a chain of travel agencies and is running an application in the AWS Cloud. Company employees use the application to search for information about travel destinations. Destination content is updated four times each year.
Two fixed Amazon EC2 instances serve the application. The company uses an Amazon Route 53 public hosted zone with a multivalue record of travel.example.com that returns the Elastic IP addresses for the EC2 instances. The application uses Amazon DynamoDB as its primary data store. The company uses a self-hosted Redis instance as a caching solution.
During content updates, the load on the EC2 instances and the caching solution increases drastically. This increased load has led to downtime on several occasions. A solutions architect must update the application so that the application is highly available and can handle the load that is generated by the content updates.
Which solution will meet these requirements?

A. Set up DynamoDB Accelerator (DAX) as in-memory cache. Update the application to use DAX. Create an Auto Scaling group for the EC2 instances. Create an Amazon CloudFront distribution, and set the Auto Scaling group as an origin for the distribution. Update the Route 53 record to use a simple routing policy that targets the CloudFront distribution's DNS alias. Manually scale up EC2 instances before the content updates.
B. Set up Amazon ElastiCache for Memcached. Update the application to use ElastiCache Create an Auto Scaling group for the EC2 instances. Create an Application Load Balancer (ALB). Set the Auto Scaling group as a target for the ALB. Update the Route 53 record to use a simple routing policy that targets the ALB's DNS alias. Configure scheduled scaling for the application before the content updates.
C. Set up Amazon ElastiCache for Redis. Update the application to use ElastiCache. Create an Auto Scaling group for the EC2 instances. Create an Amazon CloudFront distribution, and set the Auto Scaling group as an origin for the distribution. Update the Route 53 record to use a simple routing policy that targets the CloudFront distribution's DNS alias. Manually scale up EC2 instances before the content updates.
D. Set up DynamoDB Accelerator (DAX) as in-memory cache. Update the application to use DAX. Create an Auto Scaling group for the EC2 instances. Create an Application Load Balancer (ALB). Set the Auto Scaling group as a target for the ALB. Update the Route 53 record to use a simple routing policy that targets the ALB's DNS alias. Configure scheduled scaling for the EC2 instances before the content updates.

Answer: D

Explanation:
Reference:
What is Amazon DynamoDB Accelerator (DAX)?
What is Amazon EC2 Auto Scaling?
What is an Application Load Balancer?
Choosing a routing policy
Scheduled scaling for Amazon EC2 Auto Scaling

NEW QUESTION # 395
A company is hosting a critical application on a single Amazon EC2 instance. The application uses an Amazon ElastiCache for Redis single-node cluster for an in-memory data store. The application uses an Amazon RDS for MariaDB DB instance for a relational database. For the application to function, each piece of the infrastructure must be healthy and must be in an active state.
A solutions architect needs to improve the application's architecture so that the infrastructure can automatically recover from failure with the least possible downtime.
Which combination of steps will meet these requirements? (Select THREE.)

A. Create a replication group for the ElastiCache for Redis cluster. Configure the cluster to use an Auto Scaling group that has a minimum capacity of two instances.
B. Modify the DB instance to create a read replica in the same Availability Zone. Promote the read replica to be the primary DB instance in failure scenarios.
C. Use an Elastic Load Balancer to distribute traffic across multiple EC2 instances Ensure that the EC2 instances are configured in unlimited mode.
D. Use an Elastic Load Balancer to distribute traffic across multiple EC2 instances. Ensure that the EC2 instances are part of an Auto Scaling group that has a minimum capacity of two instances.
E. Create a replication group for the ElastiCache for Redis cluster. Enable Multi-AZ on the cluster.
F. Modify the DB instance to create a Multi-AZ deployment that extends across two Availability Zones.

Answer: D,E,F

Explanation:
Explanation
* Option A is correct because using an Elastic Load Balancer and an Auto Scaling group with a minimum capacity of two instances can improve the availability and scalability of the EC2 instances that host the application. The load balancer can distribute traffic across multiple instances and the Auto Scaling group can replace any unhealthy instances automatically1
* Option D is correct because modifying the DB instance to create a Multi-AZ deployment that extends across two Availability Zones can improve the availability and durability of the RDS for MariaDB database. Multi-AZ deployments provide enhanced data protection and minimize downtime by automatically failing over to a standby replica in another Availability Zone in case of a planned or unplanned outage4
* Option F is correct because creating a replication group for the ElastiCache for Redis cluster and
* enabling Multi-AZ on the cluster can improve the availability and fault tolerance of the in-memory data store. A replication group consists of a primary node and up to five read-only replica nodes that are synchronized with the primary node using asynchronous replication. Multi-AZ allows automatic failover to one of the replicas if the primary node fails or becomes unreachable6 References: 1:
https://docs.aws.amazon.com/elasticloadbalancing/latest/userguide/how-elastic-load-balancing-works.html 2:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/burstable-performance-instances-unlimited-mode.html
3: https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html 4:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html 5:
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/AutoScaling.html 6:
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/Replication.Redis.Groups.html

NEW QUESTION # 396
A company runs applications in hundreds of production AWS accounts. The company uses AWS Organizations with all features enabled and has a centralized backup operation that uses AWS Backup.
The company is concerned about ransomware attacks. To address this concern, the company has created a new policy that all backups must be resilient to breaches of privileged-user credentials in any production account.
Which combination of steps will meet this new requirement? (Choose three.)

A. Implement AWS Backup Vault Lock in compliance mode.C. Implement least privilege access for the IAM service role that is assigned to AWS Backup.
B. Configure AWS Backup to write all backups to an Amazon S3 bucket in a designated non- production account. Ensure that the S3 bucket has S3 Object Lock enabled.
C. Add an SCP that restricts the modification of AWS Backup vaults.
D. Configure the backup frequency, lifecycle, and retention period to ensure that at least one backup always exists in the cold tier.
E. Implement cross-account backup with AWS Backup vaults in designated non-production accounts.

Answer: A,B,E

NEW QUESTION # 397
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 (or 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 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.
B. 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.
C. 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.
D. 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.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/transfer/latest/userguide/create-server-in-vpc.html
https://aws.amazon.com/premiumsupport/knowledge-center/aws-sftp-endpoint-type/

NEW QUESTION # 398
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