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| Section | Weight | Objectives |
|---|
| Design Resilient Architectures | 26% | - Design highly available and fault-tolerant architectures
- 1. Regions, Availability Zones, and edge locations
- 2. Load balancing and auto scaling
- 3. Replication and disaster recovery strategies
- Design for reliability and recovery
- 1. Failover and failback processes
- 2. Backup and restore mechanisms
- Design decoupled and loosely coupled systems
- 1. Serverless and managed service integration
- 2. Event-driven architectures
- 3. Messaging and queue services
|
| Design Secure Architectures | 30% | - Design secure access to AWS resources
- 1. Identity and access management (IAM, IAM Identity Center)
- 2. Shared responsibility model
- 3. Security best practices and least privilege
- 4. Multi-account access and control
- Design secure workloads and applications
- 1. Data protection and encryption (at rest/in transit)
- 2. Network security (VPC, security groups, NACLs)
- 3. Compliance and governance controls
- Design for security and threat detection
- 1. Incident response and security automation
- 2. Monitoring and logging services
|
| Design Cost-Optimized Architectures | 20% | - Control and monitor costs
- 1. Resource tagging and allocation
- 2. Cost management tools and alerts
- Design cost-effective compute and network solutions
- 1. Right-sizing and reserved instances
- 2. Serverless and pay-as-you-go models
- 3. Data transfer cost optimization
- Identify cost-effective storage solutions
- 1. Data retention and archiving
- 2. Storage classes and lifecycle policies
|
| Design High-Performing Architectures | 24% | - Design high-performance compute solutions
- 1. Scaling and performance optimization
- 2. Compute options (EC2, Lambda, ECS, EKS)
- 3. Instance types and sizing
- Design high-performance storage solutions
- 1. Caching and content delivery
- 2. Storage performance and durability
- 3. Storage types (object, block, file)
- Design high-performance networking solutions
- 1. Global acceleration and routing
- 2. Latency reduction and throughput optimization
- 3. Network architecture and connectivity
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q378-Q383):
NEW QUESTION # 378
A company has a social media application that is experiencing rapid user growth. The current architecture uses t-family Amazon EC2 instances. The current architecture struggles to handle the increasing number of user posts and images. The application experiences performance slowdowns during peak usage times.
A solutions architect needs to design an updated architecture that will resolve the performance issues and scale as usage increases.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use an Amazon API Gateway REST API and AWS Lambda functions to process requests. Store account information in Amazon DynamoDB. Use Amazon S3 to store posts and images.
- B. Deploy multiple EC2 instances in the same family. Use an Application Load Balancer to distribute traffic. Use a shared file system to store account information and to store posts and images.
- C. Use the largest Amazon EC2 instance in the same family to host the application. Install a relational database on the instance to store all account information and to store posts and images.
- D. Use Amazon Simple Queue Service (Amazon SQS) to buffer incoming posts. Use a larger EC2 instance in the same family to host the application. Store account information in Amazon DynamoDB. Store posts and images in the local EC2 instance file system.
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of Amazon Web Services (AWS) Architect documents:
This question focuses on scalability, operational overhead, and performance during unpredictable workloads.
API Gateway + AWS Lambda enables serverless compute, which scales automatically based on the number of requests. It requires no provisioning, maintenance, or patching of servers - eliminating operational overhead.
Amazon DynamoDB is a fully managed NoSQL database optimized for high-throughput workloads with single-digit millisecond latency.
Amazon S3 is designed for high availability and durability, and is ideal for storing unstructured content such as user-uploaded images.
By leveraging these fully managed and scalable services, the architecture meets the requirement of supporting rapid user growth while minimizing operational complexity. This solution aligns with the Performance Efficiency and Operational Excellence pillars in the AWS Well-Architected Framework.
Reference:
Serverless Web Application Architecture
Using DynamoDB with Lambda
Best Practices for API Gateway
NEW QUESTION # 379
A company has a custom application with embedded credentials that retrieves information from an Amazon RDS MySQL DB instance. Management says the application must be made more secure with the least amount of programming effort.
What should a solutions architect do to meet these requirements?
- A. Create credentials on the RDS for MySQL database for the application user and store the credentials in AWS Secrets Manager. Configure the application to load the database credentials from Secrets Manager. Set up a credentials rotation schedule for the application user in the RDS for MySQL database using Secrets Manager.
- B. Create credentials on the RDS for MySQL database for the application user and store the credentials in AWS Secrets Manager. Configure the application to load the database credentials from Secrets Manager. Create an AWS Lambda function that rotates the credentials in Secret Manager.
- C. Create credentials on the RDS for MySQL database for the application user and store the credentials in AWS Systems Manager Parameter Store. Configure the application to load the database credentials from Parameter Store. Set up a credentials rotation schedule for the application user in the RDS for MySQL database using Parameter Store.
- D. Use AWS Key Management Service (AWS KMS) customer master keys (CMKs) to create keys.
Configure the application to load the database credentials from AWS KMS. Enable automatic key rotation.
Answer: B
NEW QUESTION # 380
[Design Cost-Optimized Architectures]
A company has two VPCs that are located in the us-west-2 Region within the same AWS account. The company needs to allow network traffic between these VPCs. Approximately 500 GB of data transfer will occur between the VPCs each month.
What is the MOST cost-effective solution to connect these VPCs?
- A. Set up a VPC peering connection between the VPCs. Update the route tables of each VPC to use the VPC peering connection for inter-VPC communication.
- B. Implement AWS Transit Gateway to connect the VPCs. Update the route tables of each VPC to use the transit gateway for inter-VPC communication.
- C. Implement an AWS Site-to-Site VPN tunnel between the VPCs. Update the route tables of each VPC to use the VPN tunnel for inter-VPC communication.
- D. Set up a 1 GB AWS Direct Connect connection between the VPCs. Update the route tables of each VPC to use the Direct Connect connection for inter-VPC communication.
Answer: D
Explanation:
To connect two VPCs in the same Region within the same AWS account, VPC peering is the most cost-effective solution. VPC peering allows direct network traffic between the VPCs without requiring a gateway, VPN connection, or AWS Transit Gateway. VPC peering also does not incur any additional charges for data transfer between the VPCs.
Reference:
What Is VPC Peering?
VPC Peering Pricing
NEW QUESTION # 381
A company needs to provide its employee with secure access to confidential and sensitive files. The company wants to ensure that the files can be accessed only by authorized users. The files must be downloaded security to the employees devices.
The files are stored in an on-premises Windows files server. However, due to an increase in remote usage, the file server out of capacity.
Which solution will meet these requirement?
- A. Migrate the files to an Amazon FSx for Windows File Server file system. Integrate the Amazon FSx file system with the on-premises Active Directory Configure AWS Client VPN.
- B. Migrate the files to Amazon S3, and create a public VPC endpoint Allow employees to sign on with AWS IAM identity Center (AWS Sing-On).
- C. Migrate the file server to an Amazon EC2 instance in a public subnet. Configure the security group to limit inbound traffic to the employees .IP addresses.
- D. Migrate the files to Amazon S3, and create a private VPC endpoint. Create a signed URL to allow download.
Answer: A
Explanation:
Windows file server is on-premise and we need something to replicate the data to the cloud, the only option we have is AWS FSx for Windows File Server. Also, since the information is confidential and sensitive, we also want to make sure that the appropriate users have access to it in a secure manner.
https://docs.aws.amazon.com/fsx/latest/WindowsGuide/what-is.html
NEW QUESTION # 382
A company has an on-premises data center that is running out of storage capacity. The company wants to migrate its storage infrastructure to AWS while minimizing bandwidth costs. The solution must allow for immediate retrieval of data at no additional cost.
How can these requirements be met?
- A. Deploy AWS Storage Gateway using cached volumes. Use Storage Gateway to store data in Amazon S3 while retaining copies of frequently accessed data subsets locally.
- B. Deploy AWS Direct Connect to connect with the on-premises data center. Configure AWS Storage Gateway to store data locally. Use Storage Gateway to asynchronously back up point-in-time snapshots of the data to Amazon S3.
- C. Deploy Amazon S3 Glacier Vault and enable expedited retrieval. Enable provisioned retrieval capacity for the workload.
- D. Deploy AWS Storage Gateway using stored volumes to store data locally. Use Storage Gateway to asynchronously back up point-in-time snapshots of the data to Amazon S3.
Answer: A
Explanation:
The solution that will meet the requirements is to deploy AWS Storage Gateway using cached volumes and use Storage Gateway to store data in Amazon S3 while retaining copies of frequently accessed data subsets locally. This solution will allow the company to migrate its storage infrastructure to AWS while minimizing bandwidth costs, as it will only transfer data that is not cached locally. The solution will also allow for immediate retrieval of data at no additional cost, as the cached volumes will provide low-latency access to the most recently used data. The data stored in Amazon S3 will be durable, scalable, and secure.
The other solutions are not as effective as the first one because they either do not meet the requirements or introduce additional costs or complexity. Deploying Amazon S3 Glacier Vault and enabling expedited retrieval will not meet the requirements, as it will incur additional costs for both storage and retrieval. Amazon S3 Glacier is a low-cost storage service for data archiving and backup, but it has longer retrieval times than Amazon S3. Expedited retrieval is a feature that allows faster access to data, but it charges a higher fee per GB retrieved. Provisioned retrieval capacity is a feature that reserves dedicated capacity for expedited retrievals, but it also charges a monthly fee per provisioned capacity unit. Deploying AWS Storage Gateway using stored volumes to store data locally and use Storage Gateway to asynchronously back up point-in-time snapshots of the data to Amazon S3 will not meet the requirements, as it will not migrate the storage infrastructure to AWS, but only create backups. Stored volumes are volumes that store the primary data locally and back up snapshots to Amazon S3. This solution will not reduce the storage capacity needed on-premises, nor will it leverage the benefits of cloud storage. Deploying AWS Direct Connect to connect with the on-premises data center and configuring AWS Storage Gateway to store data locally and use Storage Gateway to asynchronously back up point-in-time snapshots of the data to Amazon S3 will not meet the requirements, as it will also not migrate the storage infrastructure to AWS, but only create backups. AWS Direct Connect is a service that establishes a dedicated network connection between the on-premises data center and AWS, which can reduce network costs and increase bandwidth. However, this solution will also not reduce the storage capacity needed on-premises, nor will it leverage the benefits of cloud storage.
References:
AWS Storage Gateway
Cached volumes - AWS Storage Gateway
Amazon S3 Glacier
Retrieving archives from Amazon S3 Glacier vaults - Amazon Simple Storage Service Stored volumes - AWS Storage Gateway AWS Direct Connect
NEW QUESTION # 383
......
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